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ORCIDIJCNN 2016: Vancouver, BC, Canada
- 2016 International Joint Conference on Neural Networks, IJCNN 2016, Vancouver, BC, Canada, July 24-29, 2016. IEEE 2016, ISBN 978-1-5090-0620-5
- Chamari I. Kithulgoda, Russel Pears:
Staged Online Learning: A new approach to classification in high speed data streams. 1-8 - Lena Pietruczuk, Leszek Rutkowski
, Maciej Jaworski, Piotr Duda:
A method for automatic adjustment of ensemble size in stream data mining. 9-15 - Ludmila I. Kuncheva, Iain A. D. Gunn:
A concept-drift perspective on prototype selection and generation. 16-23 - Feng Gu, Guangquan Zhang, Jie Lu, Chin-Teng Lin:
Concept drift detection based on equal density estimation. 24-30 - Shin-Ying Huang, Jhe-Wei Lin, Rua-Huan Tsaih:
Outlier detection in the concept drifting environment. 31-37 - Gregory Ditzler:
A study of an incremental spectral meta-learner for nonstationary environments. 38-44 - Phil D. Picton:
Threshold logic: Is there finally a solution? 45-51 - Celso André R. de Sousa:
An overview on weight initialization methods for feedforward neural networks. 52-59 - Tim Hendtlass, Hans Pierrot:
A network that uses parametric weights. 60-67 - Philip de Chazal, Mark D. McDonnell:
Efficient computation of the Levenberg-Marquardt algorithm for feedforward networks with linear outputs. 68-75 - Paulo J. L. Adeodato, Rosalvo F. Oliveira Neto:
Polynomial approximation RAM neuron capable of handling true continuous input variables. 76-83 - Prayag Gowgi, Shayan Garani Srinivasa:
Density transformation and parameter estimation from back propagation algorithm. 84-91 - Dongdong Cheng, Qingsheng Zhu, Jinlong Huang, Lijun Yang:
Natural neighbor-based clustering algorithm with density peeks. 92-98 - Quan Do, Wei Liu:
ASTEN: An accurate and scalable approach to Coupled Tensor Factorization. 99-106 - Ruiqi Hu, Shirui Pan, Guodong Long, Xingquan Zhu, Jing Jiang, Chengqi Zhang:
Co-clustering enterprise social networks. 107-114 - Siqi Xiang, Wenge Rong, Yikang Shen, Yuanxin Ouyang, Zhang Xiong:
Multidimensional scaling based knowledge provision for new questions in community Question Answering systems. 115-122 - Eduardo Machado, Marcello Serqueira, Eduardo S. Ogasawara, Ricardo Ogando, Marcio A. G. Maia, Luiz Nicolaci da Costa, Riccardo Campisano, Gustavo Paiva Guedes, Eduardo Bezerra:
Exploring machine learning methods for the Star/Galaxy Separation Problem. 123-130 - Tannaz Sattari Tabrizi, Mohammad Reza Khoie, Elham Sahebkar Khorasani, Shahram Rahimi, Nina Marhamati:
Towards a patient satisfaction based hospital recommendation system. 131-138 - Daniela Sánchez, Patricia Melin, Juan Martín Carpio, Héctor Puga:
A firefly algorithm for modular granular neural networks optimization applied to iris recognition. 139-144 - Catherine D. Schuman, James S. Plank, Adam Disney, John Reynolds:
An evolutionary optimization framework for neural networks and neuromorphic architectures. 145-154 - Feng Sha, Wanming Huang, Yuk Ying Chung, Ying Zhou, Kevin K. Y. Kuan, Wei-Chang Yeh:
Multi-swarms Dynamic Convergence Optimization for object tracking. 155-162 - Fevrier Valdez, Oscar Castillo, Patricia Melin:
Ant colony optimization for the design of Modular Neural Networks in pattern recognition. 163-168 - Guang Liu, Yuk Ying Chung, Wei-Chang Yeh:
A simplified swarm optimization for object tracking. 169-176 - Yaqing Hou, Liang Feng, Yew-Soon Ong:
Creating human-like non-player game characters using a Memetic Multi-Agent System. 177-184 - Pedro Machado, Alicia Costalago Meruelo, Nikesh Lama, David Ada Adama, Kofi Appiah, T. Martin McGinnity, Alexey Petrushin, Lorenzo Ferrara, Axel W. Blau:
Si elegans: Evaluation of an innovative optical synaptic connectivity method for C. elegans Phototaxis using FPGAs. 185-191 - Aliasghar Makhlooghpour, Hamid Soleimani, Arash Ahmadi, Mark Zwolinski, Mehrdad Saif:
High accuracy implementation of Adaptive Exponential integrated and fire neuron model. 192-197 - Kei Yamaoka, Toshimichi Saito:
Realization of desired super-stable spike-trains based on digital spiking neurons. 198-205 - Gary B. Parker, Mohammad O. Khan:
Distributed neural network: Dynamic learning via backpropagation with hardware neurons using arduino chips. 206-212 - Shaghayegh Gomar, Mitra Mirhassani, Majid Ahmadi, Mehrdad Saif:
A digital neuromorphic circuit for neural-glial interaction. 213-218 - Narutoshi Jodai, Hiroyuki Torikai:
A hardware-efficient multi-compartment soma-dendrite model based on asynchronous cellular automaton dynamics. 219-226 - Nima Mousavi, Henrique Siqueira, Pablo V. A. Barros, Bruno J. T. Fernandes, Stefan Wermter:
Understanding how deep neural networks learn face expressions. 227-234 - Renhao Liu, Lawrence O. Hall, Dmitry B. Goldgof, Mu Zhou, Robert A. Gatenby, Kaoutar Ben Ahmed:
Exploring deep features from brain tumor magnetic resonance images via transfer learning. 235-242 - Rotem Golan, Christian Jacob, Jörg Denzinger:
Lung nodule detection in CT images using deep convolutional neural networks. 243-250 - Guillermo Cabrera-Vives, Ignacio Reyes, Francisco Förster, Pablo A. Estévez, Juan-Carlos Maureira:
Supernovae detection by using convolutional neural networks. 251-258 - Gabriel S. Simoes, Jonatas Wehrmann, Rodrigo C. Barros, Duncan D. Ruiz:
Movie genre classification with Convolutional Neural Networks. 259-266 - Markus Eisenbach, Daniel Seichter, Tim Wengefeld, Horst-Michael Gross:
Cooperative multi-scale Convolutional Neural Networks for person detection. 267-276 - Sumit Bam Shrestha, Qing Song:
Adaptive delay learning in SpikeProp based on delay convergence analysis. 277-284 - Daqi Liu, Shigang Yue:
Visual pattern recognition using unsupervised spike timing dependent plasticity learning. 285-292 - Satoshi Matsuda:
BPSpike: A backpropagation learning for all parameters in spiking neural networks with multiple layers and multiple spikes. 293-298 - Priyadarshini Panda, Kaushik Roy:
Unsupervised regenerative learning of hierarchical features in Spiking Deep Networks for object recognition. 299-306 - Amirhossein Tavanaei, Timothée Masquelier, Anthony S. Maida:
Acquisition of visual features through probabilistic spike-timing-dependent plasticity. 307-314 - Sou Nobukawa, Haruhiko Nishimura, Teruya Yamanishi:
Chaotic states caused by discontinuous resetting process in spiking neuron model. 315-319 - Anil Yesilkaya, Onur Karatalay, Arif Selçuk Ögrenci, Erdal Panayirci:
Channel estimation for visible light communications using neural networks. 320-325 - Rodrigo G. F. Soares, Emeson J. S. Pereira:
On the performance of pairings of activation and loss functions in neural networks. 326-333 - Zhigang Wang, Zeng-Shun Zhao, Changshui Zhang:
Learning with only multiple instance positive bags. 334-341 - Chao Lan, Yujie Deng, Xiaoli Li, Jun Huan:
Co-regularized least square regression for multi-view multi-class classification. 342-347 - Hoon Chung, Sung Joo Lee, Jeon Gue Park:
Deep neural network using trainable activation functions. 348-352 - Jia Li, Hua Xu, Junhui Deng, Xiaomin Sun:
Hyperbolic linear units for deep convolutional neural networks. 353-359 - Andreas Antoniades, Clive Cheong Took:
Speeding up feature selection: A deep-inspired network pruning algorithm. 360-366 - Xing Sun, Zhimin Xu, Nan Meng, Edmund Y. Lam, Hayden Kwok-Hay So:
Data-driven light field depth estimation using deep Convolutional Neural Networks. 367-374 - Haoze Sun, Weidi Xu, Chao Deng, Ying Tan:
Multi-digit image synthesis using recurrent conditional variational autoencoder. 375-380 - Sojeong Ha, Seungjin Choi:
Convolutional neural networks for human activity recognition using multiple accelerometer and gyroscope sensors. 381-388 - Guanglei Qi, Yanfeng Sun, Junbin Gao, Yongli Hu, Jinghua Li:
Matrix Variate Restricted Boltzmann Machine. 389-395 - Chi-Chung Cheung, Sean Shensheng Xu, Sin Chun Ng:
A systematic algorithm to escape from local minima in training feed-forward neural networks. 396-402 - Rosângela Saher Corrêa Cintra, Haroldo F. de Campos Velho, Steven Cocke:
Tracking the model: Data assimilation by artificial neural network. 403-410 - Elahe Eskandari, Arash Ahmadi, Shaghayegh Gomar, Majid Ahmadi, Mehrdad Saif:
Evolving Spiking Neural Networks of artificial creatures using Genetic Algorithm. 411-418 - Josef Bostik, Martin Klimt, Matej Mojzes, Jaromír Kukal, Ivo Bukovsky, Matous Cejnek:
V-shaped neurons in hidden layer of ANN universal approximator without flat domains. 419-425 - Pedro Tabacof, Eduardo Valle:
Exploring the space of adversarial images. 426-433 - Chiu-Hsiung Chen, Ya-Fu Peng, Sheng-Chieh Chung:
WNN-based robust total-sliding-mode control for the synchronization of uncertain chaotic systems. 434-439 - Naima Chouikhi, Raja Fdhila, Boudour Ammar, Nizar Rokbani, Adel M. Alimi:
Single- and multi-objective particle swarm optimization of reservoir structure in Echo State Network. 440-447 - Andros Tjandra, Sakriani Sakti, Ruli Manurung, Mirna Adriani, Satoshi Nakamura:
Gated Recurrent Neural Tensor Network. 448-455 - Miao Xin, Hong Zhang, Mingui Sun, Ding Yuan:
Recurrent Temporal Sparse Autoencoder for attention-based action recognition. 456-463 - Hajer Brahmi, Boudour Ammar, Adel M. Alimi, Farouk Chérif:
Pseudo almost periodic solutions of impulsive recurrent neural networks with mixed delays. 464-470 - Gang Wang, De-Shuang Huang:
Representing logical relations automatically by Probabilistic Logical Dynamical Neural Network. 471-476 - Hui Zhang, Huaping Liu, Rui Song, Fuchun Sun:
Nonlinear non-negative matrix factorization using deep learning. 477-482 - Wen Yu, Xiaoou Li, Daniel Munoz Carrillo:
Hierarchical dynamic neural networks for cascade system modeling with application to wastewater treatment. 483-488 - Ratneel Deo, Rohitash Chandra:
Identification of minimal timespan problem for recurrent neural networks with application to cyclone wind-intensity prediction. 489-496 - Alok Kanti Deb, Dibyendu Guha:
Estimation of states of a nonlinear plant using Dynamic Neural Network and Kalman Filter. 497-502 - Christina Klüver:
Self-Enforcing Networks (SEN) for the development of (medical) diagnosis systems. 503-510 - Daniel B. Araya, Katarina Grolinger, Hany F. ElYamany, Miriam A. M. Capretz, Girma T. Bitsuamlak:
Collective contextual anomaly detection framework for smart buildings. 511-518 - Suwannee Phitakwinai, Sansanee Auephanwiriyakul, Nipon Theera-Umpon:
Multilayer perceptron with Cuckoo search in water level prediction for flood forecasting. 519-524 - Yan Yin, Junmin Wu, Huanxin Zheng:
Ncfm: Accurate handwritten digits recognition using Convolutional Neural Networks. 525-531 - Dayiheng Liu, Jian Cheng Lv, Xiaofeng Qi, Jiangshu Wei:
A neural words encoding model. 532-536 - Xiangsheng Li, Jianhui Pang, Biyun Mo, Yanghui Rao:
Hybrid neural networks for social emotion detection over short text. 537-544 - Daisuke Kobayashi, Noriko Yata, Yoshitsugu Manabe:
Acquisition of image features for material perception from fine-tuned convolutional neural networks. 545-550 - Felipe Grando, Luís C. Lamb:
On approximating networks centrality measures via neural learning algorithms. 551-557 - Sergio Ledesma, Juan Manuel Belman-Flores:
Analysis of COP stability in a refrigeration system using artificial neural networks. 558-565 - Haytham M. Fayek, Margaret Lech, Lawrence Cavedon:
Modeling subjectiveness in emotion recognition with deep neural networks: Ensembles vs soft labels. 566-570 - Lu Jiang, Tong Zhao, Chaochao Bai, A. Yong, Min Wu:
A direct fingerprint minutiae extraction approach based on convolutional neural networks. 571-578 - Daniel M. Hagan, Martin T. Hagan:
Virtual drug screening using neural networks. 579-587 - Jianqing Gao, Jun Du, Changqing Kong, Huaifang Lu, Enhong Chen, Chin-Hui Lee:
An experimental study on joint modeling of mixed-bandwidth data via deep neural networks for robust speech recognition. 588-594 - Yuanchun Li, Guibin Ding, Bo Zhao, Bo Dong, Guangjun Liu:
Decentralized adaptive neural network sliding mode control for reconfigurable manipulators with data-based modeling. 595-602 - Ivo Petrás:
A note on fractional-order non-linear controller: possible neural network approach to design. 603-608 - Peng Zhang, Xiaosong Liu, Bo Zhao, Mujun Xie, Keping Liu, Yuanchun Li:
Asteroid landing via onboard optimal guidance based on bidirectional extreme learning machine. 609-615 - Xin Xu, Nan Mu, Xiaolong Zhang, Bo Li:
Covariance descriptor based convolution neural network for saliency computation in low contrast images. 616-623 - Stiaan Wiehman, Hendrik de Villiers:
Semantic segmentation of bioimages using convolutional neural networks. 624-631 - Lihua Guo, Chenggan Guo:
A deep sparse coding method for fine-grained visual categorization. 632-639 - Jessika Fonseca Fernandes, Flavio Bezerra Costa, Rodrigo Prado de Medeiros:
Power transformer disturbance classification based on the wavelet transform and artificial neural networks. 640-646 - Roney L. de S. Santos, Rogério Figueredo de Sousa, Ricardo A. L. Rabêlo, Raimundo Santos Moura:
An experimental study based on Fuzzy Systems and Artificial Neural Networks to estimate the importance of reviews about product and services. 647-653 - Emanuele Ogliari, Alessandro Gandelli, Francesco Grimaccia, Sonia Leva, Marco Mussetta:
Neural forecasting of the day-ahead hourly power curve of a photovoltaic plant. 654-659 - Loau Tawfak Al Bahrani, Jagdish C. Patra, Ryszard Kowalczyk:
Orthogonal PSO algorithm for optimal dispatch of power of large-scale thermal generating units in smart power grid under power grid constraints. 660-667 - Guido Bologna, Yoichi Hayashi:
A rule extraction study on a neural network trained by deep learning. 668-675 - Jeremy Storer, Robert Green:
PSO trained Neural Networks for predicting forest fire size: A comparison of implementation and performance. 676-683 - Andrii Shalaginov, Lars Strande Grini, Katrin Franke:
Understanding Neuro-Fuzzy on a class of multinomial malware detection problems. 684-691 - Jyun-Guo Wang, Shen-Chuan Tai, Chin-Ling Lee, Cheng-Jian Lin, Tsung-Hung Lin:
Using a hybrid of fuzzy theory and neural network filter for image dehazing applications. 692-697 - Victor Oliveira Antonino, Aluízio F. R. Araújo:
Local adaptive receptive field dimension selective self-organizing map for multi-view clustering. 698-705 - Leandro J. Moreira, Leandro Augusto da Silva:
Data classification combining Self-Organizing Maps and Informative Nearest Neighbor. 706-713 - M. Elena Antonio-Toledo, Edgar N. Sánchez, Alma Y. Alanis:
Robust neural decentralized control for a quadrotor UAV. 714-719 - Yunchang He, Jian Xu, Bo Yuan:
Community structure analysis using label propagation and flow-based ensemble learning. 720-726 - Gabriel Trierweiler Ribeiro, Marcos Cesar Gritti, Helon Vicente Hultmann Ayala, Viviana Cocco Mariani, Leandro dos Santos Coelho:
Short-term load forecasting using wavenet ensemble approaches. 727-734 - Migel D. Tissera, Mark D. McDonnell:
Enhancing deep extreme learning machines by error backpropagation. 735-739 - Rodolfo Carneiro Cavalcante, Leandro L. Minku, Adriano L. I. Oliveira:
FEDD: Feature Extraction for Explicit Concept Drift Detection in time series. 740-747 - Lydia Fischer, Barbara Hammer, Heiko Wersing:
Online metric learning for an adaptation to confidence drift. 748-755 - Cesare Alippi, Stavros Ntalampiras, Manuel Roveri:
Online model-free sensor fault identification and dictionary learning in Cyber-Physical Systems. 756-762 - Haider Raza, Hubert Cecotti, Girijesh Prasad:
A combination of transductive and inductive learning for handling non-stationarities in motor imagery classification. 763-770 - Rashid Bakirov, Bogdan Gabrys, Damien Fay:
Augmenting adaptation with retrospective model correction for non-stationary regression problems. 771-779 - Kylie Chen, Yun Sing Koh, Patricia Riddle:
Proactive drift detection: Predicting concept drifts in data streams using probabilistic networks. 780-787 - Priscila Lima Rocha, Washington Luis Santos Silva:
Intelligent system of speech recognition using Neural Networks based on DCT parametric models of low order. 788-795 - Renan Gomes Vieira, Cláudio M. S. Medeiros, Elias Teodoro Silva Jr.:
Classification and sensitivity analysis to detect fault in induction motors using an MLP network. 796-802 - Ryotaro Kamimura:
Repeated potentiality assimilation: Simplifying learning procedures by positive, independent and indirect operation for improving generalization and interpretation. 803-810 - Son Nguyen, Kanishka Tyagi, Parastoo Kheirkhah, Michael T. Manry:
Partially affine invariant back propagation. 811-818 - Lauraine Tiogning Kueti, Norbert Tsopzé, Cezar Mbiethieu, Engelbert Mephu Nguifo, Laure Pauline Fotso:
Boolean factors based Artificial Neural Network. 819-825 - N. Lotfi, Ehsan Lotfi, R. Mirzaei, Abbas Khosravi, Saeid Nahavandi:
Nonlinear programming problem solving based on winner take all emotional neural network for tensegrity structure design. 826-831 - Man Lan, GuoShun Wu, Chunyun Xiao, Yuanbin Wu, Ju Wu:
Building mutually beneficial relationships between question retrieval and answer ranking to improve performance of community question answering. 832-839 - Xun Wang, Chang-Dong Wang, Jian-Huang Lai:
Modularity optimization by Global-Local Search. 840-846 - Zhi-Lin Zhao, Chang-Dong Wang, Yuan-Yu Wan, Jian-Huang Lai, Dong Huang:
FTMF: Recommendation in social network with Feature Transfer and Probabilistic Matrix Factorization. 847-854 - Suncong Zheng, Hongyun Bao, Jiaming Xu, Yuexing Hao, Zhenyu Qi, Hongwei Hao:
A Bidirectional Hierarchical Skip-Gram model for text topic embedding. 855-862 - Kung-Hua Chang, Douglas Stott Parker:
Complementary prioritized ensemble selection. 863-872 - Bruno Grisci, Márcio Dorn:
Predicting protein structural features with NeuroEvolution of Augmenting Topologies. 873-880 - Nattapong Thammasan, Ken-ichi Fukui, Masayuki Numao:
Application of deep belief networks in eeg-based dynamic music-emotion recognition. 881-888 - Jeffery Jonathan Davis, Robert Kozma, Chin-Teng Lin, Walter J. Freeman:
Spatio-temporal EEG pattern extraction using high-density scalp arrays. 889-896 - Xue-Qin Huo, Wei-Long Zheng, Bao-Liang Lu:
Driving fatigue detection with fusion of EEG and forehead EOG. 897-904 - Li-Li Wang, Wei-Long Zheng, Hai-Wei Ma, Bao-Liang Lu:
Measuring sleep quality from EEG with machine learning approaches. 905-912 - Sim Kuan Goh, Hussein A. Abbass, Kay Chen Tan, Abdullah Al Mamun, Cuntai Guan, Chuanchu Wang:
Multiway analysis of EEG artifacts based on Block Term Decomposition. 913-920 - Pablo V. A. Barros, Cornelius Weber, Stefan Wermter:
Learning auditory neural representations for emotion recognition. 921-928 - Sapan Agarwal, Steven J. Plimpton, David R. Hughart, Alexander H. Hsia, Isaac Richter, Jonathan A. Cox, Conrad D. James, Matthew J. Marinella:
Resistive memory device requirements for a neural algorithm accelerator. 929-938 - Yun Long, Eui Min Jung, Jaeha Kung, Saibal Mukhopadhyay:
ReRAM Crossbar based Recurrent Neural Network for human activity detection. 939-946 - Christopher H. Bennett, Selina La Barbera, Adrien F. Vincent, Jacques-Olivier Klein, Fabien Alibart, Damien Querlioz:
Exploiting the short-term to long-term plasticity transition in memristive nanodevice learning architectures. 947-954 - Susmita Dey Manasi, Amit Ranjan Trivedi:
Gate/source-overlapped heterojunction Tunnel FET-based LAMSTAR neural network and its Application to EEG Signal Classification. 955-962 - Chris Yakopcic, Md. Zahangir Alom, Tarek M. Taha:
Memristor crossbar deep network implementation based on a Convolutional neural network. 963-970 - Bing Han, Abhronil Sengupta, Kaushik Roy:
On the energy benefits of spiking deep neural networks: A case study. 971-976 - Kunihiko Fukushima:
Margined Winner-Take-All: New learning rule for pattern recognition. 977-984 - Gonçalo Oliveira, Xavier Frazão, André Pimentel, Bernardete Ribeiro:
Automatic graphic logo detection via Fast Region-based Convolutional Networks. 985-991 - Saikat Basu, Manohar Karki, Supratik Mukhopadhyay, Sangram Ganguly, Ramakrishna R. Nemani, Robert DiBiano, Shreekant Gayaka:
A theoretical analysis of Deep Neural Networks for texture classification. 992-999 - James Ting-Ho Lo, Yichuan Gui, Yun Peng:
Training deep neural networks with gradual deconvexification. 1000-1007 - Zhenyang Wang, Zhidong Deng, Shiyao Wang:
SAM: A rethinking of prominent convolutional neural network architectures for visual object recognition. 1008-1014 - Suwon Suh, Daniel H. Chae, Hyon-Goo Kang, Seungjin Choi:
Echo-state conditional variational autoencoder for anomaly detection. 1015-1022 - Julie A. Wall, Cornelius Glackin, Nigel Cannings, Gérard Chollet, Nazim Dugan:
Recurrent lateral inhibitory spiking networks for speech enhancement. 1023-1028 - Yesim Oniz, Okyay Kaynak:
Wheel slip regulation using fuzzy spiking neural networks. 1029-1036 - Samya Bagchi, Srikrishna S. Bhat, Atul Kumar:
O(1) time sorting algorithms using spiking neurons. 1037-1043 - Khadeer Ahmed, Amar Shrestha, Qinru Qiu:
Simulation of bayesian learning and inference on distributed stochastic spiking neural networks. 1044-1051 - Alexander Hadjiivanov:
Adaptive conversion of real-valued input into spike trains. 1052-1059 - Takashi Matsubara, Kuniaki Uehara:
A novel homeostatic plasticity model realized by random fluctuations in excitatory synapses. 1060-1067 - Raj Samant, Laxmidhar Behera, Gaurav Pandey:
Adaptive learning of dynamic movement primitives through demonstration. 1068-1075 - Snehalika Lall, Anuradha Saha, Amit Konar, Mousumi Laha, Anca L. Ralescu, Kalyan kumar Mallik, Atulya K. Nagar:
EEG-based mind driven type writer by fuzzy radial basis function neural classifier. 1076-1082 - Benjamin Wingfield, Sonya A. Coleman, T. Martin McGinnity, Anthony J. Bjourson:
A metagenomic hybrid classifier for paediatric inflammatory bowel disease. 1083-1089 - Mario Ignacio Chacon Murguia, Oscar Alejandro Chavez-Montes, Juan A. Ramirez-Quintana:
Background modeling on depth video sequences using self-organizing retinotopic maps. 1090-1095 - Lídio Mauro Lima de Campos, Roberto Célio Limão de Oliveira, Mauro Roisenberg:
A hybrid neuro-evolutive algorithm for neural network optimization. 1096-1103 - Timothy Rawlins, Andrew Lewis, Timoleon Kipouros:
Repairing blackbox constraint violations in Multi-Objective Optimisation by use of decision trees. 1104-1111 - Rodrigo F. B. de Brito, Adriano L. I. Oliveira:
A probabilistic and dynamic chart pattern recognition hybrid system applied to foreign exchange rate prediction. 1112-1119 - Marcus Vinícius Mazega Figueredo, Emerson Cabrera Paraiso, Júlio César Nievola:
A constructive algorithm for neural networks inspired on decision trees and evolutionary algorithms. 1120-1127 - Miquel L. Alomar, Vincent Canals, Antoni Morro, Antoni Oliver, Josep L. Rosselló:
Stochastic hardware implementation of Liquid State Machines. 1128-1133 - Ricardo de Azambuja, Angelo Cangelosi, Samantha V. Adams:
Diverse, noisy and parallel: a New Spiking Neural Network approach for humanoid robot control. 1134-1142 - Abdelkerim Souahlia, Ammar Belatreche, Abdelkader Benyettou, Kevin Curran:
An experimental evaluation of echo state network for colour image segmentation. 1143-1150 - Toufique Ahmed Soomro, Junbin Gao:
Neural network based denoised methods for retinal fundus images and MRI brain images. 1151-1157 - Yingyezhe Jin, Peng Li:
AP-STDP: A novel self-organizing mechanism for efficient reservoir computing. 1158-1165 - Susanna Mosleh, Cenk Sahin, Lingjia Liu, R. Y. Zheng, Yang Yi:
An energy efficient decoding scheme for nonlinear MIMO-OFDM network using reservoir computing. 1166-1173 - Guopeng Zhang, Chun Zhang, Shigang Yue:
LGMD and DSNs neural networks integration for collision predication. 1174-1179 - Peijie Yin, Lu Qi, Xuanyang Xi, Bo Zhang, Hong Qiao:
NFLB dropout: Improve generalization ability by dropping out the best -A biologically inspired adaptive dropout method for unsupervised learning. 1180-1186 - Daniel E. Padilla, Mark D. McDonnell:
Integrating convolutional neural networks into a sparse distributed representation model based on mammalian cortical learning. 1187-1194 - Mahbubul Alam, Lasitha Vidyaratne, Khan M. Iftekharuddin:
Efficient feature extraction with simultaneous recurrent network for metric learning. 1195-1201 - Lasitha Vidyaratne, Alexander Glandon, Mahbubul Alam, Khan M. Iftekharuddin:
Deep recurrent neural network for seizure detection. 1202-1207 - Gil Segal, Amiram Moshaiov, Guy Amichay, Amir Ayali:
Neuro-fuzzy learning of locust's marching in a Swarm. 1208-1215 - Yang Han, Xing-Ming Zhao:
A hybrid sequential feature selection approach for the diagnosis of Alzheimer's Disease. 1216-1220 - Muhammad Javed Iqbal, Ibrahima Faye, Samir Brahim Belhaouari:
Classification of GPCRs proteins using a statistical encoding method. 1224-1228 - R. Shamima, Suresh Sundaram:
Prediction of membrane protein structures using a Projection based Meta-cognitive Radial Basis Function Network. 1229-1235 - Peng-Wei, Keith C. C. Chan, Zhu-Hong You:
Large-scale prediction of drug-target interactions from deep representations. 1236-1243 - Buwen Cao, Jiawei Luo, Cheng Liang, Shulin Wang:
Detecting overlapping protein complexes in weighted protein-protein interaction networks using pseudo-clique extension based on fuzzy relation. 1244-1252 - Xu Han, Chee Keong Kwoh, Jung-Jae Kim:
Clustering based active learning for biomedical Named Entity Recognition. 1253-1260 - Alberto F. De Souza, Jacson Rodrigues Correia da Silva, Filipe Wall Mutz, Claudine Badue, Thiago Oliveira-Santos:
Simulating robotic cars using time-delay neural networks. 1261-1268 - Linzhi Su, Jiao Shi, Puzhao Zhang, Zhao Wang, Maoguo Gong:
Detecting multiple changes from multi-temporal images by using stacked denosing autoencoder based change vector analysis. 1269-1276 - Z. M. Chen, Mengshi Li, Tianyao Ji, Q. H. Wu:
Detection and classification of power quality disturbances in time domain using probabilistic neural network. 1277-1282 - Yong Wee Foo, Cindy Goh, Yun Li:
Speciation and diversity balance for Genetic Algorithms and application to structural neural network learning. 1283-1290 - Corina Nentwich, Sebastian Engell:
Application of surrogate models for the optimization and design of chemical processes. 1291-1296 - Di Wang, Ah-Hwee Tan:
Self-regulated incremental clustering with focused preferences. 1297-1304 - Sam Leroux, Steven Bohez, Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt:
Multi-fidelity matryoshka neural networks for constrained IoT devices. 1305-1309 - Babajide O. Ayinde, Jacek M. Zurada:
Clustering of receptive fields in Autoencoders. 1310-1317 - Ihsan Ullah, Alfredo Petrosino:
About pyramid structure in convolutional neural networks. 1318-1324 - Zhidong Deng, Chengzhi Mao, Xiong Chen:
Deep self-organizing reservoir computing model for visual object recognition. 1325-1332 - Yazhi Gao, Wenge Rong, Yikang Shen, Zhang Xiong:
Convolutional Neural Network based sentiment analysis using Adaboost combination. 1333-1338 - Spyridon Samothrakis, Tom Vodopivec, Maria Fasli, Michael Fairbank:
Match memory recurrent networks. 1339-1346 - Mark E. Dean, Jason Chan, Christopher Daffron, Adam Disney, John Reynolds, Garrett S. Rose, James S. Plank, J. Douglas Birdwell, Catherine D. Schuman:
An Application Development Platform for neuromorphic computing. 1347-1354 - Mikhail V. Kiselev:
Rate coding vs. temporal coding - is optimum between? 1355-1359 - Elisa Capecci, Zohreh Gholami Doborjeh, Nadia Mammone, Fabio La Foresta, Francesco Carlo Morabito, Nikola K. Kasabov:
Longitudinal study of alzheimer's disease degeneration through EEG data analysis with a NeuCube spiking neural network model. 1360-1366 - Anne Abbott, Neelava Sengupta, Nikola K. Kasabov:
Which method to use for optimal structure and function representation of large spiking neural networks: A case study on the NeuCube architecture. 1367-1372 - Maryam Gholami Doborjeh, Nikola K. Kasabov:
Personalised modelling on integrated clinical and EEG Spatio-Temporal Brain Data in the NeuCube Spiking Neural Network system. 1373-1378 - Junxiu Liu, Jim Harkin, Liam McDaid, David M. Halliday, Andy M. Tyrrell, Jon Timmis:
Self-repairing mobile robotic car using astrocyte-neuron networks. 1379-1386 - Chamika M. Liyanagedera, Karthik Yogendra, Kaushik Roy, Deliang Fan:
Spin torque nano-oscillator based Oscillatory Neural Network. 1387-1394 - Jun Yan, Bo Tang, Haibo He:
Detection of false data attacks in smart grid with supervised learning. 1395-1402 - Zheng Cao, Shujian Yu, Guibiao Xu, Badong Chen, José C. Príncipe:
Multiple adaptive kernel size KLMS for Beijing PM2.5 prediction. 1403-1407 - Lei Sun, Badong Chen, Jie Yang, Ronghua Zhou, Qing Nie, Aihua Wang:
A dictionary based survival error compensation for robust adaptive filtering. 1408-1414 - Zongze Wu, Hongchen Chen, Shaoyi Du:
Robust affine iterative closest point algorithm based on correntropy for 2D point set registration. 1415-1419 - Fei Zhu, Abderrahim Halimi, Paul Honeine, Badong Chen, Nanning Zheng:
ADMM for maximum correntropy criterion. 1420-1427 - Liangjun Chen, Hua Qu, Ji-hong Zhao:
Generalized correntropy induced loss function for deep learning. 1428-1433 - Guibiao Xu, Bao-Gang Hu, José C. Príncipe:
Robust bounded logistic regression in the class imbalance problem. 1434-1441 - Zay Maung Maung Aye, Kotagiri Ramamohanarao, Benjamin I. P. Rubinstein:
Large Scale Metric learning. 1442-1449 - Aron I. Maciel, Ivan G. Costa, Ana Carolina Lorena:
Measuring the complexity of regression problems. 1450-1457 - Benhui Chen, Weite Li, Yuqing Zhang, Jinglu Hu:
Enhancing multi-label classification based on local label constraints and classifier chains. 1458-1463 - Ivan Jordanov, Nedyalko Petrov, Alessio Petrozziello:
Supervised radar signal classification. 1464-1471 - Yasusi Kanada:
Optimizing neural-network learning rate by using a genetic algorithm with per-epoch mutations. 1472-1479 - Ligang Zhang, Brijesh K. Verma, David R. B. Stockwell, Sujan Chowdhury:
Spatially Constrained Location Prior for scene parsing. 1480-1486 - Zheng Wang, Irena Koprinska, Mashud Rana:
Clustering based methods for solar power forecasting. 1487-1494 - Jörg D. Wichard:
An adaptive forecasting strategy with hybrid ensemble models. 1495-1498 - Mirko Kück, Sven F. Crone, Michael Freitag:
Meta-learning with neural networks and landmarking for forecasting model selection an empirical evaluation of different feature sets applied to industry data. 1499-1506 - Vitor Nazário Coelho, Igor Machado Coelho, Ivan Reinaldo Meneghini, Marcone J. F. Souza, Frederico G. Guimarães:
An automatic calibration framework applied on a metaheuristic fuzzy model for the CIF competition. 1507-1514 - Sven F. Crone, Stephan Hager:
Feature selection of autoregressive Neural Network inputs for trend Time Series Forecasting. 1515-1522 - Moumita Saha, Pabitra Mitra:
Recurrent neural network based prediction of indian summer monsoon using global climatic predictors. 1523-1529 - Yuwei Cui, Chetan Surpur, Subutai Ahmad, Jeff Hawkins:
A comparative study of HTM and other neural network models for online sequence learning with streaming data. 1530-1538 - Satya Katragadda, Shahid Virani, Ryan G. Benton, Vijay V. Raghavan:
Detection of event onset using Twitter. 1539-1546 - Asma Musabah Alkalbani, Ahmed Mohamed Ghamry, Farookh Khadeer Hussain, Omar Khadeer Hussain:
Predicting the sentiment of SaaS online reviews using supervised machine learning techniques. 1547-1553 - Yun Sing Koh:
CD-TDS: Change detection in transactional data streams for frequent pattern mining. 1554-1561 - Yong Zhang, Meng Joo Er, Rajasekar Venkatesan, Ning Wang, Mahardhika Pratama:
Sentiment classification using Comprehensive Attention Recurrent models. 1562-1569 - Jia Li, Hua Xu, Xingwei He, Junhui Deng, Xiaomin Sun:
Tweet modeling with LSTM recurrent neural networks for hashtag recommendation. 1570-1577 - Alberto Garcia-Garcia, Francisco Gomez-Donoso, José García Rodríguez, Sergio Orts-Escolano, Miguel Cazorla, Jorge Azorín López:
PointNet: A 3D Convolutional Neural Network for real-time object class recognition. 1578-1584 - Jorge Azorín López, Marcelo Saval-Calvo, Andrés Fuster Guilló, José García Rodríguez, Miguel Cazorla, María Teresa Signes Pont:
Group activity description and recognition based on trajectory analysis and neural networks. 1585-1592 - Becerra Priego, Richard J. Duro, Javier Lopez-Fandino, Dora Blanco Heras, Francisco Argüello:
Evolutionary cellular automata based approach to high-dimensional image segmentation for GPU projection. 1593-1600 - Bo Tang, Chao Jiang, Haibo He, Yi Guo:
Probabilistic human mobility model in indoor environment. 1601-1608 - Humberto Sossa, Ángel Carreón, Elizabeth Guevara, Raúl Santiago-Montero:
Computing the 2-D image euler number by an Artificial Neural Network. 1609-1616 - Hemir da Cunha Santiago, Tsang Ing Ren, George D. C. Cavalcanti:
Facial expression Recognition based on Motion Estimation. 1617-1624 - Hasari Tosun, Ben Mitchell, John W. Sheppard:
Assessing diffusion of spatial features in Deep Belief Networks. 1625-1632 - Erol Gelenbe, Yongha Yin:
Deep learning with random neural networks. 1633-1638 - Weite Li, Jinglu Hu, Benhui Chen:
A deep quasi-linear kernel composition method for support vector machines. 1639-1645 - Allan Campbell, Vic Ciesielski, A. Kai Qin:
Node label matching improves classification performance in Deep Belief Networks. 1646-1653 - Ruoxu Ren, Li Ma, Kay Chen Tan:
Deep inverse regression with modified document probability for text classification. 1654-1659 - Shengke Wang, Cui Zhang, Lianghua Duan, Lina Wang, Shan Wu, Long Chen:
Person re-identification based on deep spatio-temporal features and transfer learning. 1660-1665 - Azarakhsh Jalalvand, Wesley De Neve, Rik Van de Walle, Jean-Pierre Martens:
Towards using Reservoir Computing Networks for noise-robust image recognition. 1666-1672 - Ajay M. Patrikar, John P. Baker:
Improving accuracy of Gaussian mixture model classifiers with additional discriminative training. 1673-1677 - Julio J. Valdés:
Heterogeneous extreme learning machines. 1678-1685 - Jiang-Ling Song, Rui Zhang:
Automatic seizure detection using a novel EEG feature based on nonlinear complexity. 1686-1695 - Fengxue Li, Huaping Liu, Xinying Xu, Fuchun Sun:
Multi-Modal Local Receptive Field Extreme Learning Machine for object recognition. 1696-1701 - Youngwoo Yoo, Se-Young Oh:
Fast training of convolutional neural network classifiers through extreme learning machines. 1702-1708 - Jun Guo, Yanqing Guo, Bo Wang, Xiangwei Kong, Ran He:
Topology preserving dictionary learning for pattern classification. 1709-1715 - Xiong Luo, Jing Deng, Ji Liu, Ayong Li, Weiping Wang, Wenbing Zhao:
A novel entropy optimized kernel least-mean mixed-norm algorithm. 1716-1722 - Carlos A. Loza, José C. Príncipe:
Generalized Correntropy Matching Pursuit: A novel, robust algorithm for sparse decomposition. 1723-1727 - Shuang Luo, Yang Yang, Shaoyi Du, Qian Kou:
Robust image registration with rotation, scale and translation using Best-Buddies Pairs. 1728-1732 - Xi Liu, Hua Qu, Ji-hong Zhao, Badong Chen:
Extended Kalman filter under maximum correntropy criterion. 1733-1737 - Yicong He, Fei Wang, Jing Yang, Hai-Jun Rong, Badong Chen:
Kernel adaptive filtering under generalized Maximum Correntropy Criterion. 1738-1745 - Pin Lim, Chi Keong Goh, Kay Chen Tan:
A time window neural network based framework for Remaining Useful Life estimation. 1746-1753 - Sriparna Saha, Rimita Lahiri, Amit Konar, Bonny Banerjee, Atulya K. Nagar:
Human skeleton matching for e-learning of dance using a probabilistic neural network. 1754-1761 - Xia Hong, Junbin Gao:
Manifold optimization for nonnegative coefficient logistic regression. 1762-1766 - Matous Cejnek, Ivo Bukovsky:
Online data centering modifications for adaptive filtering with NLMS algorithm. 1767-1771 - Hasna Njah, Salma Jamoussi, Walid Mahdi:
Semi-hierarchical naïve Bayes classifier. 1772-1779 - Soumitro Swapan Auddy, Kanishka Tyagi, Son Nguyen, Michael T. Manry:
Discriminant vector tranformations in neural network classifiers. 1780-1786 - Leonid I. Perlovsky:
Gödel vs. aristotle: Algorithmic complexity, models of the Mind, and top representations. 1787-1794 - Sheng Li, Yun Fu:
Unsupervised transfer learning via Low-Rank Coding for image clustering. 1795-1802 - Boris Kovalerchuk:
Super-intelligence challenges and lossless visual representation of high-dimensional data. 1803-1810 - Daniel S. Levine:
Toward a neuro-developmental theory of decision attribute weighting. 1811-1816 - Juyang Weng:
Brains as optimal emergent Turing Machines. 1817-1824 - Mei Mei, Ali A. Minai:
Divergent thinking in a neurodynamical model of ideation. 1825-1832 - Rajasekar Venkatesan, Meng Joo Er, Shiqian Wu, Mahardhika Pratama:
A novel online real-time classifier for multi-label data streams. 1833-1840 - Mahardhika Pratama, Edwin Lughofer, Meng Joo Er, J. Wenny Rahayu, Tharam S. Dillon:
Evolving type-2 recurrent fuzzy neural network. 1841-1848 - João Roberto Bertini Jr., Maria do Carmo Nicoletti:
Functionally expanded streaming data as input to classification processes using ensembles of constructive neural networks. 1849-1856 - Jorge Luis Rivero Pérez, Bernardete Ribeiro, Carlos Morell Pérez:
Mahalanobis distance metric learning algorithm for instance-based data stream classification. 1857-1862 - Thameur Dhieb, Wael Ouarda, Houcine Boubaker, Adel M. Alimi:
Deep neural network for online writer identification using Beta-elliptic model. 1863-1870 - Roberto Souto Maior de Barros, Silas Garrido Teixeira de Carvalho Santos, Paulo Mauricio Gonçalves Júnior:
A Boosting-like Online Learning Ensemble. 1871-1878 - Bo Mao, Zhengchun Yu, Jie Cao:
Large scale spatial temporal data visualization based on spark and 3D volume rendering. 1879-1882 - Yong Lu, Shaohe Lv, Xue Yang, Xiaodong Wang, Min-ne Li, Xingming Zhou:
Learning from wireless: A prospective approach to Human-Centered Computing. 1883-1889 - Yunxiang Zhao, Songtao Guo, Yuanyuan Yang:
Hermes: An Optimization of HyperLogLog Counting in real-time data processing. 1890-1895 - Yaozheng Wang, Dawei Feng, Dongsheng Li, Xinyuan Chen, Yunxiang Zhao, Xin Niu:
A mobile recommendation system based on logistic regression and Gradient Boosting Decision Trees. 1896-1902 - T. Hitendra Sarma, P. Viswanath, Atul Negi:
Speeding-up the prototype based kernel k-means clustering method for large data sets. 1903-1910 - Thanh Tam Nguyen, Insu Song:
Centrality clustering-based sampling for big data visualization. 1911-1917 - Jihun Kim, Seonggyu Kim, Rammohan Mallipeddi, Gil-Jin Jang, Minho Lee:
Adaptive driver assistance system based on Traffic Information Saliency Map. 1918-1923 - Cheng Wang, Haojin Yang, Christoph Meinel:
Exploring multimodal video representation for action recognition. 1924-1931 - Daniel Jiwoong Im, Graham W. Taylor:
Learning a metric for class-conditional KNN. 1932-1939 - Kavya Gupta, Angshul Majumdar:
Sparsely connected autoencoder. 1940-1947 - Yaroslav Koshka, Dilina Perera, Spencer Hall, Mark A. Novotny:
Empirical investigation of the low temperature energy function of the Restricted Boltzmann Machine using a 1000 qubit D-Wave 2X. 1948-1954 - Ilyes Rebai, Yassine Ben Ayed, Walid Mahdi:
Deep kernel-SVM network. 1955-1960 - Xiong Luo, Yixuan Lv, Weiping Wang, Mi Zhou, Wenbing Zhao:
Direct heuristic dynamic programming design with extreme learning machine. 1961-1967 - Jing Yang, Pengpeng Chen, Hai-Jun Rong, Badong Chen:
Least mean p-power extreme learning machine for obstacle avoidance of a mobile robot. 1968-1976 - Amita P. Mahuli, B. Niranjana Krupa, Koshy George:
Prediction of photoplethysmogram signals using sequential ELM. 1977-1984 - Yantao Wei, Yicong Zhou:
Stacked Tensor Subspace Learning for hyperspectral image classification. 1985-1992 - Vijay Manikandan Janakiraman, David Nielsen:
Anomaly detection in aviation data using extreme learning machines. 1993-2000 - Chandan Gautam, Aruna Tiwari, Sriram Ravindran:
Construction of multi-class classifiers by Extreme Learning Machine based one-class classifiers. 2001-2007 - Benoit Chappet de Vangel, Jérémy Fix:
In the quest of efficient hardware implementations of dynamic neural fields: An experimental study on the influence of the kernel shape. 2008-2014 - Damir Vodenicarevic, Nicolas Locatelli, Julie Grollier, Damien Querlioz:
Synchronization detection in networks of coupled oscillators for pattern recognition. 2015-2022 - Catalina Elzo, Pablo A. Estévez, Robert Kozma:
Modeling quasi-periodic lightcurves using neuropercolation. 2023-2030 - Ryuji Sato, Kazuma Makita, Toshimichi Saito:
Analysis of various periodic orbits in simple dynamic binary neural networks. 2031-2038 - Rongye Shi, Thomas C. Jackson, Brian Swenson, Soummya Kar, Lawrence T. Pileggi:
On the design of phase locked loop oscillatory neural networks: Mitigation of transmission delay effects. 2039-2046 - M. Furqan Afzal, Ali A. Minai:
Reliable storage and recall of aperiodic spatiotemporal activity patterns using scaffolded attractors. 2047-2054 - Dheeraj Rathee, Hubert Cecotti, Girijesh Prasad:
Estimation of Effective Fronto-Parietal connectivity during Motor Imagery using partial granger causality analysis. 2055-2062 - Jiahui Pan, Yuanqing Li, Jun Wang:
An EEG-Based brain-computer interface for emotion recognition. 2063-2067 - Hiromichi Iwase, Teruki Horie, Yasuo Matsuyama:
Verification of fraudulent PIN holders by brain waves. 2068-2075 - Kentaro Takakura, Tomohiro Yoshikawa, Takeshi Furuhashi:
A study on relationship between age and oddball-task difficulty on peak latency of P300. 2076-2080 - Trongmun Jiralerspong, Sato Fumiya, Chao Liu, Jun Ishikawa:
Spectral analysis and artificial neural network based classification of three mental states for brain machine interface applications. 2081-2089 - Shiu Kumar, Ronesh Sharma, Alok Sharma, Tatsuhiko Tsunoda:
Decimation filter with Common Spatial Pattern and Fishers Discriminant Analysis for motor imagery classification. 2090-2095 - Jussi H. Poikonen, Mika Laiho, Eero Lehtonen, Timo Knuutila:
Hidden Markov model inference in an Associative memory architecture. 2096-2103 - Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira:
Applying a general hybrid intelligent system for ultra-high-frequency stock market forecasting. 2104-2109 - Russell Ainslie, John A. W. McCall, Siddhartha Shakya, Gilbert Owusu:
Predictive planning with neural networks. 2110-2117 - Tomás Barton, Petr Musílek:
Derivative based prediction with look ahead. 2118-2123 - Koshy George, Prabhanjan Mutalik:
Online time series prediction with meta-cognition. 2124-2131 - Sergio García-Vega, Germán Castellanos-Domínguez, Michel Verleysen, John Aldo Lee:
Multi-step-ahead forecasting using kernel adaptive filtering. 2132-2139 - Kelwin Fernandes, Jaime S. Cardoso, Héctor Palacios:
Learning and ensembling lexicographic preference trees with multiple kernels. 2140-2147 - Ad Feelders, Tijmen Kolkman:
Exploiting monotonicity constraints to reduce label noise: An experimental evaluation. 2148-2155 - María Pérez-Ortiz, Aurora Sáez, Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Tackling the ordinal and imbalance nature of a melanoma image classification problem. 2156-2163 - Sebastian Breker, Bernhard Sick:
Combination of uncertain ordinal expert statements: The combination rule EIDMR and its application to low-voltage grid classification with SVM. 2164-2173 - Pedro Antonio Gutiérrez, María Pérez-Ortiz, Javier Sánchez-Monedero, César Hervás-Martínez:
Representing ordinal input variables in the context of ordinal classification. 2174-2181 - Ricardo P. M. Cruz, Kelwin Fernandes, Jaime S. Cardoso, Joaquim F. Pinto da Costa:
Tackling class imbalance with ranking. 2182-2187 - Zhengming Ding, Ming Shao, Yun Fu:
Transfer learning for image classification with incomplete multiple sources. 2188-2195 - Na Li, Zhisong Pan, MingChu Jiang, Yanyan Zhang, Haimin Yang:
A community discovery approach in multi-label data. 2196-2203 - Ding Wang, Prakash Mandayam Comar, Pang-Ning Tan:
Crowdsourcing of network data. 2204-2211 - Divya Padmanabhan, Satyanath Bhat, Dinesh Garg, Shirish K. Shevade, Y. Narahari:
A Robust UCB scheme for active learning in regression from strategic crowds. 2212-2219 - Lei Zhang, Sunil Kr. Jha, Tao Liu, Guangshu Pei:
Discriminative kernel transfer learning via l2, 1-norm minimization. 2220-2227 - Jiayi Fu, Jinhong Zhong, Yunfeng Liu, Zhenyu Wang, Ke Tang:
A non-parametric approach for learning from crowds. 2228-2235 - Guoqiang Zhong, Hui Xu, Pan Yang, Sijiang Wang, Junyu Dong:
Deep hashing learning networks. 2236-2243 - Guoqiang Zhong, Yaxin Shi, Mohamed Cheriet:
Relational Fisher Analysis: A general framework for dimensionality reduction. 2244-2251 - Guoqiang Zhong, Yan Zheng, Sheng Li, Yun Fu:
Scalable large margin online metric learning. 2252-2259 - Chengcheng Jia, Ming Shao, Yun Fu:
Sparse alignment for video analysis in discriminant Tensor space. 2260-2266 - Zhimei Zhang, Kun Liu, Feng Gao, Xianyun Li, Guodong Wang:
Vision-based vehicle detecting and counting for traffic flow analysis. 2267-2273 - Yifan Xia, Jie Li, Lin Qi, Hao Fan:
Loop closure detection for visual SLAM using PCANet features. 2274-2281 - Jinmeng Song, Chun Yuan:
Learning Boltzmann machine with EM-like method. 2282-2289 - Mark D. McDonnell, Robby G. McKilliam, Philip de Chazal:
On the importance of pair-wise feature correlations for image classification. 2290-2297 - Dongshun Cui, Guang-Bin Huang, Tianchi Liu:
Smile detection using Pair-wise Distance Vector and Extreme Learning Machine. 2298-2305 - Tianchi Liu, Yue Li, Zuo Bai, Jaydeep De, Cao Vinh Le, Zhiping Lin, Shih-Hsiang Lin, Guang-Bin Huang, Dongshun Cui:
Two-stage structured learning approach for stable occupancy detection. 2306-2312 - Hui Song, A. Kai Qin, Flora D. Salim:
Multivariate electricity consumption prediction with Extreme Learning Machine. 2313-2320 - Zhi-Xin Yang, Peng-Bo Zhang:
ELM Meets RAE-ELM: A hybrid intelligent model for multiple fault diagnosis and remaining useful life predication of rotating machinery. 2321-2328 - Ruoxia Li, Jinde Cao, Ying Wan:
Finite-time stability analysis of fractional order delayed memristive neural networks. 2329-2335 - Chunhua Feng, Rejean Plamondon:
Periodic and partly periodic oscillation in Hopfield recurrent neural networks with time-varying input and delays. 2336-2343 - James Ting-Ho Lo, Yu Guo:
Accommodative neural filters. 2344-2351 - Rama Murthy Garimella, Anil Rayala, Sai Dileep Munugoti:
Dynamics of structured Complex Recurrent Hopfield Networks. 2352-2358 - Ulises Davalos G., Carlos E. Castañeda, Pedro Esquivel, F. Jurado Z., Onofre A. Morfin:
Recurrent Neural Identification on Xilinx system generator using V7 FPGA for a 2DOF robot manipulator. 2359-2365 - Liang Deng, Rudolf J. Seethaler, YangQuan Chen, Ping Yang, Qiming Cheng:
Modified Elman neural network based neural adaptive inverse control of rate-dependent hysteresis. 2366-2373 - Moses Effiong Ekpenyong, Udoinyang G. Inyang:
Unsupervised mining of under-resourced speech corpora for tone features classification. 2374-2381 - Yoshitatsu Matsuda, Kazunori Yamaguchi:
Adaptive objective function of ICA by Gaussian approximation in second-order polynomial feature space. 2382-2389 - Duc-Son Pham, Ognjen Arandjelovic, Svetha Venkatesh:
Achieving stable subspace clustering by post-processing generic clustering results. 2390-2396 - Marek Smieja, Szymon Nakoneczny, Jacek Tabor:
Fast Entropy Clustering of sparse high dimensional binary data. 2397-2404 - Plamen P. Angelov, Xiaowei Gu, Germán Gutiérrez, José Antonio Iglesias, Araceli Sanchis:
Autonomous Data Density based clustering method. 2405-2413 - James C. Bezdek, Xiuyi Ye, Mihail Popescu, James Keller, Alina Zare:
Random projection below the JL limit. 2414-2423 - Huifang Ma, Meihuizi Jia, Xianghong Lin, Fuzhen Zhuang:
Tag correlation and user social relation based microblog recommendation. 2424-2430 - Bing Han, Lixia Zhang, Xinbo Gao, Xiaojing Zhao, Dacheng Tao:
Embedded locality discriminant GPLVM for dimensionality reduction. 2431-2438 - Yuting Mai, Weihong Li, Yongyi Tang, Xixi Bi, Wei-Shi Zheng:
Sketch metric learning. 2439-2446 - Bartosz Krawczyk:
Cost-sensitive one-vs-one ensemble for multi-class imbalanced data. 2447-2452 - Shifei Ding, Xiekai Zhang:
Granular multiple birth support vector machine based on weighted linear loss. 2453-2459 - Di Shang, Xinyu Dai, Shujian Huang, Yi Li, Jiajun Chen:
Tagging Chinese microblogger via sparse feature selection. 2460-2467 - Ibrahim Louhi, Lydia Boudjeloud-Assala, Thomas Tamisier:
Incremental nearest neighborhood graph for data stream clustering. 2468-2475 - Zahra Ghafoori, Sarah M. Erfani, Sutharshan Rajasegarar, Shanika Karunasekera, Christopher A. Leckie:
Anomaly detection in non-stationary data: Ensemble based self-adaptive OCSVM. 2476-2483 - Annamalai Narayanan, Yang Liu, Lihui Chen, Jinliang Liu:
Adaptive and scalable Android malware detection through online learning. 2484-2491 - Jason M. Allred, Kaushik Roy:
Unsupervised incremental STDP learning using forced firing of dormant or idle neurons. 2492-2499 - Justin Lovinger, Iren Valova:
Neural Field: Supervised apportioned incremental learning (SAIL). 2500-2506 - Sérgio Aurélio Ferreira Soares, Guenther Schwedersky Neto, Mauro Roisenberg:
Improving the Incremental Gaussian Mixture Neural Network model for spatial interpolation and geostatistical simulation. 2507-2514 - Liang Chen, Ruimin Hu, Zhen Han, Zhongyuan Wang, Qing Li, Zheng Lu:
Face Super Resolution for VLQ facial images via parent patch matching. 2515-2521 - Xin Zhang, Zifeng Wang, Gui-Song Xia, Liangpei Zhang:
Accurate object tracking by combining correlation filters and keypoints. 2522-2525 - Liuyi Hu, Zhongyuan Wang, Mang Ye, Jing Xiao, Ruimin Hu:
Spatiotemporal saliency based on location prior model. 2526-2533 - Xi Lu, Xiaobin Chang, Xiaohua Xie, Jianfang Hu, Wei-Shi Zheng:
Facial skin beautification via sparse representation over learned layer dictionary. 2534-2539 - Jianwen Lou, Lin Qi, Junyu Dong, Hui Yu, Guoqiang Zhong:
Learning perceptual texture similarity and relative attributes from computational features. 2540-2546 - Louis B. Rosenberg:
Artificial Swarm Intelligence vs human experts. 2547-2551 - Chao Guo, Yan Yang, Hong Pan, Tianrui Li, Weidong Jin:
Fault analysis of High Speed Train with DBN hierarchical ensemble. 2552-2559 - Fabio Alexandre Spanhol, Luiz S. Oliveira, Caroline Petitjean, Laurent Heutte:
Breast cancer histopathological image classification using Convolutional Neural Networks. 2560-2567 - Zhipeng Jin, Ruoran Liu, Qiudan Li, Daniel Dajun Zeng, YongCheng Zhan, Lei Wang:
Predicting user's multi-interests with network embedding in health-related topics. 2568-2575 - Luiz G. Hafemann, Robert Sabourin, Luiz S. Oliveira:
Writer-independent feature learning for Offline Signature Verification using Deep Convolutional Neural Networks. 2576-2583 - Shahrzad Faghih-Roohi, Siamak Hajizadeh, Alfredo Núñez, Robert Babuska, Bart De Schutter:
Deep convolutional neural networks for detection of rail surface defects. 2584-2589 - Peng Zhang, Xin Niu, Yong Dou, Fei Xia:
Airport detection from remote sensing images using transferable convolutional neural networks. 2590-2595 - Yuanlong Yu, Zhenzhen Sun:
A pruning algorithm for extreme learning machine based on sparse coding. 2596-2602 - Shuhei Ikemoto, Fabio Dalla Libera, Koh Hosoda:
Stochastic resonance induced continuous activation functions in a neural network consisting of threshold elements. 2603-2608 - Yiqiang Chen, Meiyu Huang, Chunyu Hu, Yicheng Zhu, Fei Han, Chunyan Miao:
A coarse-to-fine feature selection method for accurate detection of cerebral small vessel disease. 2609-2616 - Andrey Gritsenko, Anton Akusok, Yoan Miché, Kaj-Mikael Björk, Stephen Baek, Amaury Lendasse:
Combined nonlinear visualization and classification: ELMVIS++C. 2617-2624 - Muhammad Rizwan, Babafemi O. Odelowo, David V. Anderson:
Word based dialect classification using extreme learning machines. 2625-2629 - Siqi Wang, En Zhu, Jianping Yin:
Video anomaly detection based on ULGP-OF descriptor and one-class ELM. 2630-2637 - Nistor Grozavu, Guénaël Cabanes, Hatim Chahdi, Nicoleta Rogovschi:
Automated topological co-clustering using fuzzy features partition. 2638-2645 - Arnulfo P. Azcarraga, Arturo Caronongan, Rudy Setiono, Sean Manalili:
Validating the stable clustering of songs in a structured 3D SOM. 2646-2653 - Baile Xu, Furao Shen, Jinxi Zhao:
Density Based Self Organizing Incremental Neural Network for data stream clustering. 2654-2661 - Nilupulee Nathawitharana, Damminda Alahakoon, Daswin De Silva:
Using semantic relatedness measures with dynamic self-organizing maps for improved text clustering. 2662-2671 - Sascha Saralajew, Thomas Villmann:
Adaptive tangent distances in generalized learning vector quantization for transformation and distortion invariant classification learning. 2672-2679 - Gerardo Noriega:
Encoding auditory-visual interactions in a neural model of sensory abnormalities in autism. 2680-2686 - Son Ngoc Tran, Artur S. d'Avila Garcez:
Adaptive Transferred-profile Likelihood Learning. 2687-2692 - Qing-Yi Liu, Lin Zhu, De-Shuang Huang, Gang Wang, Xiao-Ping (Steven) Zhang, Li Shang, Zhi-Kai Huang:
Visual data completion via local sensitive low rank tensor learning. 2693-2698 - Yang Zhao, Yong Dou, Xinwang Liu, Teng Li:
ELM based multiple kernel k-means with diversity-induced regularization. 2699-2705 - Ambedkar Dukkipati, Debarghya Ghoshdastidar, Jinu Krishnan:
Mixture modeling with compact support distributions for unsupervised learning. 2706-2713 - Weixiang Shao, Jiawei Zhang, Lifang He, Philip S. Yu:
Multi-source Multi-view Clustering via discrepancy penalty. 2714-2721 - Zahra Karevan, Johan A. K. Suykens:
Clustering-based feature selection for black-box weather temperature prediction. 2722-2729 - Shiva Poudel, Zhen Ni, Xiangnan Zhong, Haibo He:
Comparative studies of power grid security with network connectivity and power flow information using unsupervised learning. 2730-2737 - Joris Lueckenga, Dominik Engel, Robert Green:
Weighted vote algorithm combination technique for anomaly based Smart Grid Intrusion Detection systems. 2738-2742 - Wei Lee Woon, Oliver Kramer:
Enhanced SVR ensembles for wind power prediction. 2743-2748 - Ding Li, Scott Dick:
Whole-house Non-Intrusive Appliance Load Monitoring via multi-label classification. 2749-2755 - Eduardo Quintero-Manríquez, Edgar N. Sánchez, Ramon A. Felix:
Induction motor torque control via discrete-time neural sliding mode. 2756-2761 - Yili Xia, Kai Wang, Wenjiang Pei, Zoran Blazic, Danilo P. Mandic:
A least squares enhanced smart DFT technique for frequency estimation of unbalanced three-phase power systems. 2762-2766 - Pavan Holla, Srinivasa Chakravarthy:
Decision making with long delays using networks of flip-flop neurons. 2767-2773 - Stefan Oehmcke, Oliver Zielinski, Oliver Kramer:
kNN ensembles with penalized DTW for multivariate time series imputation. 2774-2781 - Avelino Forechi, Alberto Ferreira de Souza, Claudine Badue, Thiago Oliveira-Santos:
Sequential appearance-based Global Localization using an ensemble of kNN-DTW classifiers. 2782-2789 - Jan Tkacik, Pavel Kordík:
Neural Turing Machine for sequential learning of human mobility patterns. 2790-2797 - Sivanand Achanta, Ayushi Pandey, Suryakanth V. Gangashetty:
Analysis of sequence to sequence neural networks on grapheme to phoneme conversion task. 2798-2804 - Rakia Jaziri, Faicel Chamroukhi, Mustapha Lebbah, Younès Bennani:
GTM Mixture through time for sequential data. 2805-2810 - Daniel Nikovski, Kiran Byadarhaly:
Regularized covariance matrix estimation with high dimensional data for supervised anomaly detection problems. 2811-2818 - Georgios M. Milis, Demetrios G. Eliades, Christos G. Panayiotou, Marios M. Polycarpou:
A cognitive fault-detection design architecture. 2819-2826 - Sara Ghanavati, Jemal H. Abawajy, Davood Izadi:
An alternative sensor Cloud architecture for vital signs monitoring. 2827-2833 - Alexander Loginov, Malcolm I. Heywood, Garnett Carl Wilson:
Benchmarking a coevolutionary streaming classifier under the individual household electric power consumption dataset. 2834-2841 - Pierre-Alexandre Murena, Antoine Cornuéjols:
Minimum Description Length Principle applied to structure adaptation for classification under concept drift. 2842-2849 - Ahmet Kose, Eduard Petlenkov:
System identification models and using neural networks for Ground Source Heat Pump with Ground Temperature Modeling. 2850-2855 - Angshul Majumdar, Rabab Kreidieh Ward:
Real-time reconstruction of EEG signals from compressive measurements via deep learning. 2856-2863 - Antonio Sze-To, Hamid R. Tizhoosh, Andrew K. C. Wong:
Binary codes for tagging x-ray images via deep de-noising autoencoders. 2864-2871 - Xinran Liu, Hamid R. Tizhoosh, Jonathan Kofman:
Generating binary tags for fast medical image retrieval based on convolutional nets and Radon Transform. 2872-2878 - Antreas Antoniou, Plamen Angelov:
A general purpose intelligent surveillance system for mobile devices using Deep Learning. 2879-2886 - Chunhui Jiang, Guiying Li, Junlong Liu, Yunfeng Liu, Ke Tang:
A trajectory-based approach for object detection from video. 2887-2893 - Hasari Tosun, John W. Sheppard:
Fast classifier learning under bounded computational resources using Partitioned Restricted Boltzmann Machines. 2894-2900 - Krishna Kumar N, R. Savitha, Abdullah Al Mamun:
An ensemble of Extreme Learning Machine for prediction of wind force and moment coefficients in marine vessels. 2901-2908 - Weizhong Yan:
One-class extreme learning machines for gas turbine combustor anomaly detection. 2909-2914 - Julio J. Valdés, Fawaz A. Alsulaiman, Abdulmotaleb El-Saddik:
Extreme Learning Machines for approximating nonlinear dimensionality reduction mappings: Application to Haptic handwritten signatures. 2915-2922 - Emerson Grzeidak, José Alfredo Ruiz Vargas, Sadek Crisóstomo Absi Alfaro:
Online neuro-identification of nonlinear systems using Extreme Learning Machine. 2923-2930 - Paula Lauren, Guangzhi Qu, Feng Zhang, Amaury Lendasse:
Clinical narrative classification using discriminant word embeddings with ELM. 2931-2938 - Migel D. Tissera, Mark D. McDonnell:
Modular expansion of the hidden layer in Single Layer Feedforward neural Networks. 2939-2945 - Seiki Tokunaga, Hiroyasu Horiuchi, Hiroki Takatsuka, Sachio Saiki, Shinsuke Matsumoto, Masahide Nakamura, Kiyoshi Yasuda:
Towards personalized and context-aware reminder service for people with dementia. 2946-2953 - Ashfaqur Rahman, Daniel V. Smith, James Hills, Greg Bishop-Hurley, David Henry, Richard Rawnsley:
A comparison of autoencoder and statistical features for cattle behaviour classification. 2954-2960 - Katsuhiro Honda, Hikaru Sakamoto, Seiki Ubukata, Akira Notsu:
MMMs-induced k-member co-clustering for k-anonymization of cooccurrence information. 2961-2966 - Kengo Matsumoto, Kenji Oyama, Takeshi Honda, Takenao Ohkawa:
Extraction of interaction information between breeding cows with GPS and its application to estrus detection. 2967-2972 - Yoji Hosomi, Kenji Oyama, Takeshi Honda, Takenao Ohkawa:
A method of detecting interaction between breeding cows from time-series bird's eye pictures of pasture. 2973-2978 - Siti Hajar Aminah Ali, Seiichi Ozawa, Tao Ban, Junji Nakazato, Jumpei Shimamura:
A neural network model for detecting DDoS attacks using darknet traffic features. 2979-2985 - Islam El-Nabarawy, Donald C. Wunsch II, Ashraf M. Abdelbar:
Biclustering ARTMAP collaborative filtering recommender system. 2986-2991 - Rania Ibrahim, Ahmed Elbagoury, Mohamed S. Kamel, Fakhri Karray:
LVC: Local Variance-based Clustering. 2992-2999 - Faicel Chamroukhi:
Skew-normal Mixture of Experts. 3000-3007 - Haiping Lu, Jianxin Wu, Yu Zhang:
Learning compact binary codes from higher-order tensors via Free-Form Reshaping and Binarized Multilinear PCA. 3008-3015 - Mingli Zhang, Qiang Qu, Sadegh Nobari, Christian Desrosiers:
LRI: A low rank approach to non-local sparse representation for image interpolation. 3016-3022 - Leonardo Enzo Brito da Silva, Donald C. Wunsch II:
An information theoretic ART for robust unsupervised learning. 3023-3029 - Warren Rieutort-Louis, Ognjen Arandjelovic:
Descriptor transition tables for object retrieval using unconstrained cluttered video acquired using a consumer level handheld mobile device. 3030-3037 - Xiaofeng Shi, Furao Shen, Jinxi Zhao:
Image segmentation based on Prototypes Extraction and Merging of clusters in multiple spaces. 3038-3045 - Kunal Dahiya, Dinesh Singh, C. Krishna Mohan:
Automatic detection of bike-riders without helmet using surveillance videos in real-time. 3046-3051 - Le Zhang, Ying Wen:
Log-Demons with driving force for large deformation image registration. 3052-3059 - Muhammad Ahmad, Adil Mehmood Khan, Joseph Alexander Brown, Stanislav I. Protasov, Asad Masood Khattak:
Gait fingerprinting-based user identification on smartphones. 3060-3067 - Dimah Dera, Nidhal Bouaynaya, Robi Polikar, Hassan M. Fathallah-Shaykh:
Non-negative matrix factorization for non-parametric and unsupervised image clustering and segmentation. 3068-3075 - Andrea Manno, Simone Sagratella, Lorenzo Livi:
A convergent and fully distributable SVMs training algorithm. 3076-3080 - Julian Dorner, Samuel Favrichon, Arif Selçuk Ögrenci:
Weight exchange in distributed learning. 3081-3084 - Yawei Wei, Ganesh Kumar Venayagamoorthy:
A lite cellular generalized neuron network for frequency prediction of synchronous generators in a multimachine power system. 3085-3092 - Simone Scardapane, Rosa Altilio, Massimo Panella, Aurelio Uncini:
Distributed spectral clustering based on Euclidean distance matrix completion. 3093-3100 - Michele Donini, David Martínez-Rego, Martin Goodson, John Shawe-Taylor, Massimiliano Pontil:
Distributed variance regularized Multitask Learning. 3101-3109 - Gaël Beck, Tarn Duong, Hanene Azzag, Mustapha Lebbah:
Distributed mean shift clustering with approximate nearest neighbours. 3110-3115 - Thanh Tam Nguyen, Insu Song:
Learning space model for educational social networks. 3116-3123 - Yu Bai, Haishuai Wang, Jia Wu, Yun Zhang, Jing Jiang, Guodong Long:
Evolutionary lazy learning for Naive Bayes classification. 3124-3129 - Wentao Li, Min Gao, Hua Li, Qingyu Xiong, Junhao Wen, Zhongfu Wu:
Dropout prediction in MOOCs using behavior features and multi-view semi-supervised learning. 3130-3137 - Anna Koufakou, Justin Gosselin, Dahai Guo:
Using data mining to extract knowledge from student evaluation comments in undergraduate courses. 3138-3142 - Stanislav Kuznetsov, Pavel Kordík, Tomas Rehorek, Josef Dvorak, Petr Kroha:
Reducing cold start problems in educational recommender systems. 3143-3149 - Ju-Youn Park, Woo-Ri Ko, Jong-Hwan Kim:
Multimedia recommendation system using Adaptive Resonance Theory neural model for digital storytelling. 3150-3156 - Haibing Wu, Yiwei Gu, Shangdi Sun, Xiaodong Gu:
Aspect-based Opinion Summarization with Convolutional Neural Networks. 3157-3163 - Qiuwen Chen, Qinru Qiu:
Enhancing bidirectional association between deep image representations and loosely correlated texts. 3164-3171 - Man Lan, Zhihua Zhang, Yue Lu, Ju Wu:
Three Convolutional Neural Network-based models for learning Sentiment Word Vectors towards sentiment analysis. 3172-3179 - Mingliang Wang, Han-Xiong Li, Wenjing Shen:
Deep auto-encoder in model reduction of lage-scale spatiotemporal dynamics. 3180-3186 - Zhenbing Zhao, Guozhi Xu, Yincheng Qi, Ning Liu, Tiefeng Zhang:
Multi-patch deep features for power line insulator status classification from aerial images. 3187-3194 - Ridha Soua, Arief Koesdwiady, Fakhri Karray:
Big-data-generated traffic flow prediction using deep learning and dempster-shafer theory. 3195-3202 - Franck Dufrenois, Jean-Charles Noyer:
A null space based one class kernel Fisher discriminant. 3203-3210 - Anh Le, Trung Le, Khanh Nguyen, Van Nguyen, Thai Hoang Le, Dat Tran:
Fast Kernel-based method for anomaly detection. 3211-3217 - David Clifte da S. Vieira, Ajalmar R. da Rocha Neto, Antonio Wendell De Oliveira Rodrigues:
Sparse Least squares support vector regression via Multiresponse Sparse Regression. 3218-3225 - Tuan Nguyen, Phuong Duong, Trung Le, Anh Le, Viet Ngo, Dat Tran, Wanli Ma:
Fuzzy Kernel Stochastic Gradient Descent machines. 3226-3232 - Yilong Hao, Kanishka Tyagi, Rohit Rawat, Michael T. Manry:
Second order design of multiclass kernel machines. 3233-3240 - Mohamed Elleuch, Raouia Mokni, Monji Kherallah:
Offline Arabic Handwritten recognition system with dropout applied in Deep networks based-SVMs. 3241-3248 - Ligang Zhang, Brijesh K. Verma, David R. B. Stockwell, Sujan Chowdhury:
Aggregating pixel-level prediction and cluster-level texton occurrence within superpixel voting for roadside vegetation classification. 3249-3255 - Natraj Raman, Stephen J. Maybank:
Non-parametric Hidden Conditional Random Fields for action classification. 3256-3263 - Cong-Zhe You, Xiaojun Wu, Vasile Palade, Abdulrahman Altahhan:
Manifold locality constrained low-rank representation and its applications. 3264-3271 - Xing Sun, Nan Meng, Zhimin Xu, Edmund Y. Lam, Hayden Kwok-Hay So:
Sparse Hierarchical Nonparametric Bayesian learning for light field representation and denoising. 3272-3279 - Qian Li, Wenjia Niu, Gang Li, Jianlong Tan, Gang Xiong, Li Guo:
Riemannian optimization with subspace tracking for low-rank recovery. 3280-3287 - Antonio Robles-Kelly, Lin Gu, Ran Wei:
Classification from a Riemannian graph embedding viewpoint. 3288-3295 - Eder Santana, Matthew Emigh, José C. Príncipe:
Information Theoretic-Learning auto-encoder. 3296-3301 - Ivo Bukovsky, Matous Cejnek, Jan Vrba, Noriyasu Homma:
Study of Learning Entropy for onset detection of epileptic seizures in EEG time series. 3302-3305 - Yuxin Su, Haiqin Yang, Irwin King, Michael R. Lyu:
Distributed Information-Theoretic Metric Learning in Apache Spark. 3306-3313 - Lorenzo Livi, Cesare Alippi:
One-class classification through mutual information minimization. 3314-3321 - Pablo Huentelemu, Pablo A. Estévez, Francisco Förster:
Correntropy based filtering for supernova detection. 3322-3329 - Pedro M. Ferreira:
Unsupervised entropy-based selection of data sets for improved model fitting. 3330-3337 - Roberto Calandra, Jan Peters, Carl Edward Rasmussen, Marc Peter Deisenroth:
Manifold Gaussian Processes for regression. 3338-3345 - Przemyslaw Spurek, Wieslaw Palka:
Clustering of Gaussian distributions. 3346-3353 - Alexander Grigorievskiy, Juha Karhunen:
Gaussian Process kernels for popular state-space time series models. 3354-3363 - Narutaka Awaya, Jun Kitazono, Toshiaki Omori, Seiichi Ozawa:
Stochastic collapsed variational Bayesian inference for biterm topic model. 3364-3370 - Mohammad Ahangar Kiasari, Minho Lee, Jixiang Shen:
Content-based image retrieval by using deep kernel Machine with Gaussian Mixture Model. 3371-3377 - Xinwei Jiang, Xin Song, Junbin Gao, Zhihua Cai, Dongmei Zhang:
Nonparametrically Guided Autoencoder with Laplace Approximation for dimensionality reduction. 3378-3384 - Michele Gasparini, Fabio Vesperini, Stefania Cecchi, Stefano Squartini, Francesco Piazza, Romolo Toppi:
Combining evolution strategies and neural network procedures for compression driver design. 3385-3390 - Fabio Vesperini, Paolo Vecchiotti, Emanuele Principi, Stefano Squartini, Francesco Piazza:
Deep neural networks for Multi-Room Voice Activity Detection: Advancements and comparative evaluation. 3391-3398 - Emre Cakir, Ezgi Can Ozan, Tuomas Virtanen:
Filterbank learning for deep neural network based polyphonic sound event detection. 3399-3406 - Lars Hertel, Huy Phan, Alfred Mertins:
Comparing time and frequency domain for audio event recognition using deep learning. 3407-3411 - Gil Keren, Björn W. Schuller:
Convolutional RNN: An enhanced model for extracting features from sequential data. 3412-3419 - Vinal Patel, Danilo Comminiello, Michele Scarpiniti, Nithin V. George, Aurelio Uncini:
Design of hybrid nonlinear spline adaptive filters for active noise control. 3420-3425 - Bing-Jiang Qiu, Wensheng Chen, Bo Chen, Binbin Pan:
A new parallel MRI image reconstruction model with elastic net regularization. 3426-3432 - Haiyan Liu, Yuping Wang, Xuyan Liu, Shiwei Guan:
Empirical study of effect of grouping strategies for large scale optimization. 3433-3439 - He Zhang, Xin Liu, Yiu-ming Cheung:
Efficient single image dehazing via scene-adaptive segmentation and improved dark channel model. 3440-3445 - Wensheng Chen, Yugao Li, Binbin Pan, Chen Xu:
Block kernel Nonnegative Matrix Factorization and its application to Face Recognition. 3446-3452 - Ke Wang, Ping Guo, Qian Yin, A-Li Luo, Xin Xin:
A pseudoinverse incremental algorithm for fast training deep neural networks with application to spectra pattern recognition. 3453-3460 - Bin Guo, Kai Dou, Li Kuang:
Life stage based recommendation in e-commerce. 3461-3468 - Mauro Brunato, Roberto Battiti:
X-MIFS: Exact Mutual Information for feature selection. 3469-3476 - Raywat Makkhongkaew, Khalid Benabdeslem, Haytham Elghazel:
Semi-supervised co-selection: Features and instances by a weighting approach. 3477-3484 - Yinxiang Huang, Yun Li, Baohua Qiang:
Internet traffic classification based on Min-Max Ensemble Feature Selection. 3485-3492 - Fannia Pacheco, Mariela Cerrada, René-Vinicio Sánchez, Diego Cabrera, Chuan Li, José Valente de Oliveira:
Clustering algorithm using rough set theory for unsupervised feature selection. 3493-3499 - Fahimeh Alaei, Alireza Alaei, Michael Blumenstein, Umapada Pal:
A brief review of document image retrieval methods: Recent advances. 3500-3507 - Rogerio C. P. Fragoso, Roberto H. W. Pinheiro, George D. C. Cavalcanti:
Class-dependent feature selection algorithm for text categorization. 3508-3515 - Yongfeng Lv, Jing Na, Qinmin Yang, Guido Herrmann:
Adaptive optimal tracking control of unknown nonlinear systems using system augmentation. 3516-3521 - Eric Chalmers, Edgar Bermudez Contreras, Brandon Robertson, Artur Luczak, Aaron J. Gruber:
Context-switching and adaptation: Brain-inspired mechanisms for handling environmental changes. 3522-3529 - Bo Zhao, Derong Liu, Yuanchun Li, Guang Shi:
Adaptive dynamic programming based fault compensation control for nonlinear systems with actuator failures. 3530-3535 - Tohid Sardarmehni, Ali Heydari:
Policy iteration for optimal switching with continuous-time dynamics. 3536-3543 - Qinglai Wei, Derong Liu:
Optimal self-learning control scheme for discrete-time nonlinear systems using local value iteration. 3544-3549 - Bin Wang, Dongbin Zhao, Jin Cheng, Yuan Xu, Yueyang Li:
A general adaptive dynamic programming approach with experience replay. 3550-3555 - Prerna Khurana, Angshul Majumdar, Rabab Kreidieh Ward:
Class-wise deep dictionaries for EEG classification. 3556-3563 - Bao Xi, Lei Sun, Badong Chen, Jianji Wang, Nanning Zheng, José C. Príncipe:
Density-dependent quantized kernel least mean square. 3564-3569 - Ranganath B. N., Shalabh Bhatnagar:
Scalable focussed entity resolution. 3570-3577 - Warren Adam Shier, Svetlana N. Yanushkevich:
Pain recognition and intensity classification using facial expressions. 3578-3583 - Mohamed Bahy Bader-El-Den, Eleman Teitei, Mo Adda:
Hierarchical classification for dealing with the Class imbalance problem. 3584-3591 - Fan Zhang, Hua Xu, Jiushuo Wang, Xiaomin Sun, Junhui Deng:
Grasp the implicit features: Hierarchical emotion classification based on topic model and SVM. 3592-3599 - Ying Wen, Shicheng Yang, Lili Hou, Hongda Zhang:
Face recognition using locality sparsity preserving projections. 3600-3607 - Bo Li, Zhang-Tao Fan, Xiaolong Zhang:
Feature space distance metric learning for discriminant graph embedding. 3608-3613 - Min Han, Chengkun Zhang, Jun Wang:
Superpixel-based sparse representation classifier for hyperspectral image. 3614-3619 - Hidenori Ide, Takio Kurita:
Low level visual feature extraction by learning of multiple tasks for Convolutional Neural Networks. 3620-3627 - Hubert Cecotti:
Deep Random Vector Functional Link Network for handwritten character recognition. 3628-3633 - Songlin Hu, Dong Yue, Xiuxia Yin, Xiangpeng Xie:
Neural network-based event-triggered control design of nonlinear continuous-time systems with variable sampling. 3634-3641 - Quynh Ngoc Thuy Do, Alexey Zhilin, Caibre Zordan Pio Junior, Gaoxiang Wang, Farookh Khadeer Hussain:
A network-based approach to detect spammer groups. 3642-3648 - Jean-Charles Lamirel, Nicolas Dugué, Pascal Cuxac:
New efficient clustering quality indexes. 3649-3657 - Ming-Bo Zhao, Zhao Zhang, Wenlong Cheng, Zhao Zhang:
Joint lp- and l2, p-norm minimization for subspace clustering with outlier pursuit. 3658-3665 - Marian B. Gorzalczany, Filip Rudzinski, Jakub Piekoszewski:
Gene expression data clustering using tree-like SOMs with evolving splitting-merging structures. 3666-3673 - Jian Hou, Wei-Xue Liu, Hongxia Cui:
An enhanced dominant sets clustering method. 3674-3681 - Xiaojie Li, Jian Cheng Lv, Lili Li, Feng Ao:
An angle and density-based method for key points detection. 3682-3688 - Iván Sánchez, Zay Maung Maung Aye, Benjamin I. P. Rubinstein, Kotagiri Ramamohanarao:
Fast trajectory clustering using Hashing methods. 3689-3696 - Lei Gu:
A novel sample weighting K-means clustering algorithm based on angles information. 3697-3702 - Duo Wang, Toshihisa Tanaka:
Sparse kernel principal component analysis based on elastic net regularization. 3703-3708 - Raghvendra Mall, Halima Bensmail, Rocco Langone, Carolina Varon, Johan A. K. Suykens:
Denoised Kernel Spectral data Clustering. 3709-3716 - Hongliang Li, Miao He, Xunan Zhang, Changrui Ren:
Manifold regularization based approximate value iteration for learning control. 3717-3722 - Seaar Al Dabooni, Donald Wunsch:
Heuristic dynamic programming for mobile robot path planning based on Dyna approach. 3723-3730 - Matej Mojzes, Martin Klimt, Jaromír Kukal, Ivo Bukovsky, Jan Vrba, Jan Pitel:
Feature selection via competitive levy flights. 3731-3736 - Murillo G. Carneiro, Liang Zhao, Ran Cheng, Yaochu Jin:
Network structural optimization based on swarm intelligence for highlevel classification. 3737-3744 - Javier Echanobe, Inés del Campo, M. Victoria Martínez:
Design and optimization of a Neural Network-based driver recognition system by means of a multiobjective genetic algorithm. 3745-3750 - Muhammad Ali, Junbin Gao, Michael Antolovich:
Classification on Stiefel and Grassmann manifolds via maximum Likelihood estimation of matrix distributions. 3751-3757 - Yan Zhang, Zhao Zhang, Lei Jia, Fanzhang Li:
Joint nuclear-norm nonlinear Manifold Learning and robust Classification by linear embedding. 3758-3764 - Junyang Qiu, Yanyan Zhang, Zhisong Pan, Haimin Yang, Huifeng Ren, Xin Li:
A novel semi-supervised approach for feature extraction. 3765-3770 - Hui Zhang, Huaping Liu, Rui Song, Fuchun Sun:
Nonlinear dictionary learning based deep neural networks. 3771-3776 - Ismail Uluturk, Ismail Uysal:
A novel approach for generating fast multi-class SVM topologies with nested dichotomies. 3777-3784 - Barry D. Nichols:
A comparison of action selection methods for implicit policy method reinforcement learning in continuous action-space. 3785-3792 - Yifeng Li:
Advances in multi-view matrix factorizations. 3793-3800 - Jones Granatyr, Jean Paul Barddal, Adriano Weihmayer Almeida, Fabrício Enembreck, Adaiane Pereira dos Santos Granatyr:
Towards emotion-based reputation guessing learning agents. 3801-3808 - Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri:
A multi-view multi-dimensional ensemble learning approach to mining business process deviances. 3809-3816 - Alberto Torres-Barrán, José R. Dorronsoro:
Conjugate descent for the SMO algorithm. 3817-3824 - José Aguilar, Jose Torres, Kristell Aguilar:
Autonomie decision making based on bayesian networks and ontologies. 3825-3832 - Clark Kendrick Go, Bryan Lao, Junichiro Yoshimoto, Kazushi Ikeda:
A reinforcement learning approach to the shepherding task using SARSA. 3833-3836 - Pegah Alizadeh, Yann Chevaleyre, François Lévy:
Advantage based value iteration for Markov decision processes with unknown rewards. 3837-3844 - Weite Li, Bo Zhou, Jinglu Hu:
A kernel level composition of multiple local classifiers for nonlinear classification. 3845-3850 - Djallel Bouneffouf, Inanç Birol:
Ensemble Minimum Sum of Squared Similarities sampling for Nyström-based spectral clustering. 3851-3855 - Djallel Bouneffouf, Inanç Birol:
Theoretical analysis of the Minimum Sum of Squared Similarities sampling for Nyström-based spectral clustering. 3856-3862 - Yanan Guo, Wei Ma, Lijuan Duan, Qing En, Juncheng Chen:
Human action recognition based on discriminative supervoxels. 3863-3869 - Reza Derakhshani, Sriram Pavan K. Tankasala, Simona Crihalmeanu, Arun Ross, Rohit Krishna:
A comparative analysis of wavelets for vascular similarity measurement. 3870-3876 - Xiangmei Zheng, Huaping Liu, Fuchun Sun, Meng Gao, Jiakui Li, Qing Zhang:
Sonar-based place recognition using joint sparse coding method. 3877-3882 - Mohammad Abu Jami'in, Jinglu Hu, Eko Julianto:
A Lyapunov based switching control to track maximum power point of WECS. 3883-3888 - Ronaldo R. B. de Aquino, Luiz F. A. Cordeiro, Davidson C. Marques, Jeydson L. Silva, Camila M. Bandeira, Andre L. M. M. Andrade:
An emotional controller PLC implementation for an industrial fan system. 3889-3895 - Gabriel Garcia, Gladston J. P. Moreira, Eduardo José da S. Luz, David Menotti:
Improving automatic cardiac arrhythmia classification: Joining temporal-VCG, complex networks and SVM classifier. 3896-3900 - Yuxin Ding, Sheng Chen, Jun Xu:
Application of Deep Belief Networks for opcode based malware detection. 3901-3908 - Shengxiang Gao, Zhuo Wang, Zhengtao Yu, Jin Jiang, Lin Wu:
An expert disambiguation method based on attributed graph clustering. 3909-3914 - Ronaldo R. B. de Aquino, Jonata C. de Albuquerque, Otoni Nóbrega Neto, Milde M. S. Lira, Manoel A. Carvalho, Alcides Codeceira Neto, Aida Araujo Ferreira:
Assessment of power curves in models of wind power forecasting. 3915-3922 - Hemant Kumar Aggarwal, Angshul Majumdar:
Robust estimation for subspace based classifiers. 3923-3929 - Wei Zhang, Daoyi Dong, Ian R. Petersen:
Learning control of population transfer between subspaces of quantum systems using an adaptive target scheme. 3930-3934 - Wei-Chang Yeh, Siang-Tai Wang, Chyh-Ming Lai, Yen-Cheng Huang, Yuk Ying Chung, Jsen-Shung Lin:
Simplified swarm optimization for repairable redundancy allocation problem in multi-state systems with bridge topology. 3935-3941 - Haishuai Wang, Jia Wu, Chuan Zhou, Zhenyan Ji, Jun Wu:
Mining subcascade features for cascade outbreak prediction in big networks. 3942-3949 - Siqi Deng, Kan Gao, Changying Du, Wenjing Ma, Guoping Long, Yucheng Li:
Online variational Bayesian Support Vector Regression. 3950-3957 - Daniele Ferretti, Emanuele Principi, Stefano Squartini, Luigi Mandolini:
An experimental study on new features for activity of daily living recognition. 3958-3965 - Elson Claudio Correa Moraes, Danton Diego Ferreira:
A principal curve-based method for data clustering. 3966-3971 - Shengke Wang, Lianghua Duan, Cui Zhang, Long Chen, Guoan Cheng, Jingai Yu:
Fast pedestrian detection based on object proposals and HOG. 3972-3977 - Wen-Bo Huang, Dunwei Wen, Yang Yan, Man Yuan, Ke Wang:
Multi-target osteosarcoma MRI recognition with texture context features based on CRF. 3978-3983 - Slim Abdelhedi, Ali Wali, Adel M. Alimi:
Human activity recognition based on mid-level representations in video surveillance applications. 3984-3989 - Yu-Bin Yoon, Lae-Kyoung Lee, Se-Young Oh:
Semi-rotation invariant feature descriptors using Zernike moments for MLP classifier. 3990-3994 - Srikanta Pal, Jean-Christophe Burie, Umapada Pal, Jean-Marc Ogier:
Line-wise text identification in comic books: A support vector machine-based approach. 3995-4000 - Jacqueline Christmas:
Theoretical motion functions for video analysis, with a passive navigation example. 4001-4008 - Siamak Mehrkanoon, Johan A. K. Suykens:
Multi-label semi-supervised learning using regularized kernel spectral clustering. 4009-4016 - Celso André R. de Sousa:
An inductive semi-supervised learning approach for the Local and Global Consistency algorithm. 4017-4024 - Hossein Soleimani, David J. Miller:
Exploiting the value of class labels in topic models for semi-supervised document classification. 4025-4031 - Yawei Li, Lizuo Jin, A. Kai Qin, Changyin Sun, Yew-Soon Ong, Tong Cui:
Semi-supervised auto-encoder based on manifold learning. 4032-4039 - Adrian Calma, Tobias Reitmaier, Bernhard Sick:
Resp-kNN: A probabilistic k-nearest neighbor classifier for sparsely labeled data. 4040-4047 - Ibrahim Hossain, Abbas Khosravi, Saeid Nahavandi:
Active transfer learning and selective instance transfer with active learning for motor imagery based BCI. 4048-4055 - Judith Neugebauer, Jörg Bremer, Christian Hinrichs, Oliver Kramer, Michael Sonnenschein:
Generalized cascade classification model with customized transformation based ensembles. 4056-4063 - Li Bu, Cesare Alippi, Dongbin Zhao:
Ensemble LSDD-based change detection tests. 4064-4069 - Yong Liu:
How to confine errors in negative correlation learning. 4070-4075 - Ahmed Al-Ani, Irena Koprinska, Ganesh R. Naik, Rami N. Khushaba:
A dynamic channel selection algorithm for the classification of EEG and EMG data. 4076-4081 - Chao Lan, Yujie Deng, Jun Huan:
A disagreement-based active matrix completion approach with provable guarantee. 4082-4088 - Ricardo T. A. de Oliveira, Thaize Fernandes O. de Assis, Paulo Renato A. Firmino, Tiago A. E. Ferreira, Adriano L. I. Oliveira:
Copulas-based ensemble of Artificial Neural Networks for forecasting real world time series. 4089-4096 - Sheng Chen, Xia Hong, Emad Khalaf, Fuad E. Alsaadi, Chris J. Harris:
Complex-valued B-spline neural network and its application to iterative frequency-domain decision feedback equalization for Hammerstein communication systems. 4097-4104 - Maoki Hikosaka, Tianben Ding, Akira Hirose:
Proposal of polarization state prediction using quaternion neural networks for fading channel prediction in mobile communications. 4105-4111 - Minh Tuan Pham, Phuc Hao Do, Kanta Tachibana:
Feature extraction for classification method using principal component based on conformal geometric algebra. 4112-4117 - Seiya Satoh, Ryohei Nakano:
How complex-valued multilayer perceptron can predict the behavior of deterministic chaos. 4118-4124 - Christian Hacker, Igor N. Aizenberg, Jeffrey Wilson:
GPU simulator of multilayer neural network based on multi-valued neurons. 4125-4132 - Toshifumi Minemoto, Teijiro Isokawa, Nobuyuki Matsui, Masaki Kobayashi, Haruhiko Nishimura:
Retrieval performance of Hopfield Associative Memory with Complex-valued and Real-valued neurons. 4133-4138 - Yiqun Zhang, Yiu-ming Cheung, Yang Liu:
Quality preserved data summarization for fast hierarchical clustering. 4139-4146 - Peng Wu, Qian Yin, Ping Guo:
Kernel selection with evolutionary algorithm for multiple kernel independent component analysis. 4147-4153 - Wenjing Geng, Shuzhen Li, Tongwei Ren, Gangshan Wu:
Object proposals using SVM-based integrated model. 4154-4161 - Min Yan, Qian Yin, Ping Guo:
Image stitching with single-hidden layer feedforward neural networks. 4162-4169 - Chaoda Peng, Hai-Lin Liu, Fangqing Gu:
Solving constrained optimization using decomposition-based EMO algorithm. 4170-4176 - Hao Lan Zhang, Jiming Liu, Chunyu Feng, Chaoyi Pang, Tongliang Li, Jing He:
Complex social network partition for balanced subnetworks. 4177-4182 - Ronaldo Vigo, Basawaraj:
Structural manifold analysis: A new method for dimensionality reduction based on a computational theory of human concept learning. 4183-4190 - K. Ramachandra Murthy, Ajoy Mondal, Ashish Ghosh:
Maximum Class Boundary Criterion for supervised dimensionality reduction. 4191-4198 - Yu Tang, Zhao Zhang, Yan Zhang, Fanzhang Li:
Robust L1-norm matrixed locality preserving projection for discriminative subspace learning. 4199-4204 - Feng Wang, Qi Rao, Yongquan Zhang, Xu Chen:
Robust Sparse Subspace Learning for unsupervised feature selection. 4205-4212 - Rômulo de O. Nunes, Carine A. Dantas, Anne M. P. Canuto, João C. Xavier Junior:
An unsupervised-based dynamic feature selection for classification tasks. 4213-4220 - Fadi A. Thabtah, Rami Mustafa A. Mohammad, Lee McCluskey:
A dynamic self-structuring neural network model to combat phishing. 4221-4226 - Hamidreza Modares, Frank L. Lewis, Ali Davoudi:
Optimal output synchronization of nonlinear multi-agent systems using approximate dynamic programming. 4227-4232 - Kyriakos G. Vamvoudakis:
Game-theoretic tracking control for actuator attack attenuation in cyber-physical systems. 4233-4240 - Lu Dong, Changyin Sun, Haibo He:
Dual heuristic dynamic programming based event-triggered control for nonlinear continuous-time systems. 4241-4248 - Haifeng Niu, Sarangapani Jagannathan:
Neural network-based attack detection in nonlinear networked control systems. 4249-4254 - Ali Heydari:
Finite and infinite horizon optimal triggering of networked control systems. 4255-4262 - Ali Heydari:
Optimal switching of DC-DC voltage converters using approximate dynamic programming. 4263-4269 - Wei-Yu Tsai, Davis R. Barch, Andrew S. Cassidy, Michael V. DeBole, Alexander Andreopoulos, Bryan L. Jackson, Myron D. Flickner, Dharmendra S. Modha, Jack Sampson, Vijaykrishnan Narayanan:
LATTE: Low-power Audio Transform with TrueNorth Ecosystem. 4270-4277 - Peter U. Diehl, Bruno U. Pedroni, Andrew Cassidy, Paul Merolla, Emre Neftci, Guido Zarrella:
TrueHappiness: Neuromorphic emotion recognition on TrueNorth. 4278-4285 - Khadeer Ahmed, Amar Shrestha, Qinru Qiu, Qing Wu:
Probabilistic inference using stochastic spiking neural networks on a neurosynaptic processor. 4286-4293 - Antonio Jimeno-Yepes, Jianbin Tang, Shreya Saxena, Tobias Brosch, Arnon Amir:
Weighted Population Code for low power neuromorphic image classification. 4294-4301 - Kaitlin Lindsay Fair, David V. Anderson:
Sparse approximation on energy efficient hardware. 4302-4307 - Alexander Andreopoulos, Rodrigo Alvarez-Icaza, Andrew S. Cassidy, Myron D. Flickner:
A low-power neurosynaptic implementation of Local Binary Patterns for texture analysis. 4308-4316 - Shahed K. Mohammed, Farah Deeba, Francis M. Bui, Khan A. Wahid:
Application of modified ant colony optimization for computer aided bleeding detection system. 4317-4324 - Michael J. Watts:
Sleep learning and Max-Min aggregation of Evolving Connectionist Systems. 4325-4330 - Michael Freitag, Yoonsuck Choe:
Analysis of tool use strategies in evolved neural circuits controlling an articulated limb. 4331-4338 - Han Wang, Qinbo Li, Jaewook Yoo, Yoonsuck Choe:
Dynamical analysis of recurrent neural circuits in articulated limb controllers for tool use. 4339-4345 - Rodrigo Calvo, Ademir Aparecido Constantino, Maurício F. Figueiredo:
Individual distinguishing pheromone in a multi-robot system for a Balanced Partitioned Surveillance task. 4346-4353 - Amey Parulkar, Yoonsuck Choe:
Motor-based autonomous grounding in a model of the fly optic flow system. 4354-4361 - Chong Zhang, Kay Chen Tan, Ruoxu Ren:
Training cost-sensitive Deep Belief Networks on imbalance data problems. 4362-4367 - Shoujin Wang, Wei Liu, Jia Wu, Longbing Cao, Qinxue Meng, Paul J. Kennedy:
Training deep neural networks on imbalanced data sets. 4368-4374 - Chunyang Liu, Ling Chen:
Summarizing uncertain transaction databases by Probabilistic Tiles. 4375-4382 - Yisen Wang, Shu-Tao Xia:
A novel feature subspace selection method in random forests for high dimensional data. 4383-4389 - Shan Xue, Jie Lu, Jia Wu, Guangquan Zhang, Li Xiong:
Multi-instance graphical transfer clustering for traffic data learning. 4390-4395 - Andre L. Brun, Alceu S. Britto Jr., Luiz S. Oliveira, Fabrício Enembreck, Robert Sabourin:
Contribution of data complexity features on dynamic classifier selection. 4396-4403 - Igor N. Aizenberg, Antonio Luchetta, Stefano Manetti, Maria Cristina Piccirilli:
System identification using FRA and a modified MLMVN with arbitrary complex-valued inputs. 4404-4411 - Ryusuke Hata, Kazuyuki Murase:
Multi-valued autoencoders for multi-valued neural networks. 4412-4417 - Marcos Eduardo Valle, Fidelis Zanetti de Castro:
Theoretical and computational aspects of quaternionic multivalued Hopfield neural networks. 4418-4425 - Yasuaki Kuroe, Hitoshi Iima:
A model of Hopfield-type octonion neural networks and existing conditions of energy functions. 4426-4430 - Masaya Ishikawa, Kazuyuki Murase:
Complex-valued online classifier. 4431-4437 - B. Chandra, Rajesh Kumar Sharma:
On improving the efficiency of complex-valued ELM. 4438-4442 - Ahmed Talal Suliman, Khaled Al Kaabi, Di Wang, Ahmad Al-Rubaie, Ahmed Al Dhanhani, Dymitr Ruta, John Davies, Sandra Stincic Clarke:
Event identification and assertion from social media using auto-extendable knowledge base. 4443-4450 - Xiaoqian Yi, Xiao Shen, Wei Lu, Tung Shan Chan, Korris Fu-Lai Chung:
Persuasion driven influence analysis in online social networks. 4451-4456 - Ya Le, Eric Bax, Nicola Barbieri, David García-Soriano, Jitesh Mehta, James Li:
Validation of matching. 4457-4464 - Soujanya Poria, Iti Chaturvedi, Erik Cambria, Federica Bisio:
Sentic LDA: Improving on LDA with semantic similarity for aspect-based sentiment analysis. 4465-4473 - Iti Chaturvedi, Erik Cambria, David Vilares:
Lyapunov filtering of objectivity for Spanish Sentiment Model. 4474-4481 - Bo Zhao, Yongji He, Chunfeng Yuan, Yihua Huang:
Stock market prediction exploiting microblog sentiment analysis. 4482-4488 - Nengwen Zhao, Lefei Zhang, Bo Du, Liangpei Zhang, Dacheng Tao, Jane You:
Sparse tensor discriminative locality alignment for gait recognition. 4489-4495 - Nataliya Sokolovska, Thierry Artières:
A probabilistic prior knowledge integration method: Application to generative and discriminative models. 4496-4503 - Maryam Farajzadeh-Zanjani, Roozbeh Razavi-Far, Mehrdad Saif, Luis Rueda:
Efficient feature extraction of vibration signals for diagnosing bearing defects in induction motors. 4504-4511 - Apurba Gorai, Rajarshi Pal, Phalguni Gupta:
Document fraud detection by ink analysis using texture features and histogram matching. 4512-4517 - Ava Sheikhi Shoshtari, Sue-Jin Lin, Martin J. McKeown, Z. Jane Wang:
A Multimodal data fusion approach efficiently predicts disease duration in multiple sclerosis. 4518-4524 - Zhou Jin, Yujiu Yang, Xianyu Bao, Biqing Huang:
Combining user-based and global lexicon features for sentiment analysis in twitter. 4525-4532 - Qichao Zhang, Dongbin Zhao, Yuanheng Zhu, Xi Chen:
Model-free reinforcement learning for nonlinear zero-sum games with simultaneous explorations. 4533-4538 - Dongbin Zhao, Yuanheng Zhu, Le Lv, Yaran Chen, Qichao Zhang:
Convolutional fitted Q iteration for vision-based control problems. 4539-4544 - Chao Li, Ding Wang, Derong Liu:
Neural-network-based robust optimal control of uncertain nonlinear systems using model-free policy iteration algorithm. 4545-4550 - Guang Shi, Qinglai Wei, Derong Liu:
An adaptive dynamic programming based method for optimization of electricity consumption in office buildings. 4551-4556 - Xiangnan Zhong, Zhen Ni, Haibo He:
Convergence analysis of GrDHP-based optimal control for discrete-time nonlinear system. 4557-4564 - Abdulrahman Altahhan:
Self-reflective deep reinforcement learning. 4565-4570 - Xipeng Wang, Yi Lu Murphey, Dev S. Kochhar:
MTS-DeepNet for lane change prediction. 4571-4578 - Viviane Dal Molin de Souza, André Pinz Borges, Denise Maria Vecino Sato, Bráulio Coelho Ávila, Edson Emílio Scalabrin:
Automatic knowledge learning using Case-Based Reasoning: A case study approach to automatic train conduction. 4579-4585 - Dexing Zhong, Xuefei Zhang, Haotian Sun, Zhigang Ren, Jiuqiang Han:
A vision-based auxiliary system of multirotor unmanned aerial vehicles for autonomous rendezvous and docking. 4586-4592 - Zejia Zheng, Juyang Weng:
Challenges in visual parking and how a developmental network approaches the problem. 4593-4600 - Rafael A. Berri, Fernando Santos Osório, Rafael S. Parpinelli, Alexandre Gonçalves Silva:
A hybrid vision system for detecting use of mobile phones while driving. 4601-4610 - Phuong Thi Mai Nguyen, Benjamin N. Passow, Yingjie Yang:
Improving anytime behavior for traffic signal control optimization based on NSGA-II and local search. 4611-4618 - Shaima Ibraheem Jabbar, Charles R. Day, Nicholas Heinz, Edward K. Chadwick:
Using Convolutional Neural Network for edge detection in musculoskeletal ultrasound images. 4619-4626 - Guanglin Xu, Shaoyi Du, Jianru Xue:
Precise 2D point set registration using iterative closest algorithm and correntropy. 4627-4631 - Xueli Yu, Xiaojie Zhao:
Modularity analysis of brain network under real-time working memory feedback training. 4632-4636 - Tali Bitan, Alex Frid, Hananel Hazan, Larry M. Manevitz, Haim Shalelashvili, Yael Weiss:
Classification from generation: Recognizing deep grammatical information during reading from rapid event-related fMRI. 4637-4642 - Pramod Gadde, Xiao-Hua Yu:
Image registration with artificial neural networks using spatial and frequency features. 4643-4649 - Farah Deeba, Francis M. Bui, Khan A. Wahid:
Automated Growcut for segmentation of endoscopic images. 4650-4657 - Fang Liao, Xuyang Lou, Baotong Cui, Wei Wu:
State filtering and parameter estimation for Hodgkin-Huxley model. 4658-4663 - Jérémie Cabessa, Alessandro E. P. Villa:
Attractor-based complexity of a Boolean model of the basal ganglia-thalamocortical network. 4664-4671 - Filipa dos Santos, Jannetta S. Steyn, Peter Andras:
Modelling the restoration of activity in a biological neural network. 4672-4679 - Sriparna Saha, Amit Konar, Anuradha Saha, Arup Kumar Sadhu, Bonny Banerjee, Atulya K. Nagar:
EEG based gesture mimicking by an artificial limb using cascade-correlation learning architecture. 4680-4687 - Jeff Orchard, Lin Wang:
The evolution of a generalized neural learning rule. 4688-4694 - Ehsan Karami, Arash Ahmadi, Majid Ahmadi, Mehrdad Saif:
Hardware implementation of deep brain stimulator on a biophysical neural population model. 4695-4700 - Annamalai Narayanan, Guozhu Meng, Yang Liu, Jinliang Liu, Lihui Chen:
Contextual Weisfeiler-Lehman graph kernel for malware detection. 4701-4708 - Weixue Lu, Chuan Zhou, Jia Wu, Chun-Yi Liu, Li Gao, Yue Hu:
A recursive method for big network influence estimation. 4709-4714 - Li Gao, Yao Lu, Qin Zhang, Hong Yang, Yue Hu:
Query expansion for exploratory search with subtopic discovery in Community Question Answering. 4715-4720 - Wei Xiong, Bo Du, Lefei Zhang, Liangpei Zhang, Dacheng Tao:
Denoising auto-encoders toward robust unsupervised feature representation. 4721-4728 - Yisen Wang, Chao-Bing Song, Shu-Tao Xia:
Improving decision trees by Tsallis Entropy Information Metric method. 4729-4734 - Hassan Abdelbari, Kamran Shafi:
Optimising a constrained echo state network using evolutionary algorithms for learning mental models of complex dynamical systems. 4735-4742 - Kofi Appiah, Pedro Machado, Alicia Costalago Meruelo, T. Martin McGinnity:
C. elegans behavioural response germane to Hardware modelling. 4743-4750 - Hongxin Wang, Jigen Peng, Shigang Yue:
Bio-inspired small target motion detector with a new lateral inhibition mechanism. 4751-4758 - Sijing Cheng, Qiuyan Peng, Bertram E. Shi:
A two layer disparity selective simple cell model. 4759-4766 - Nicola Politi, Jianfeng Feng, Wenlian Lu:
Comparing data assimilation filters for parameter estimation in a neuron model. 4767-4774 - Alicia Costalago Meruelo, Pedro Machado, Kofi Appiah, T. Martin McGinnity:
Challenges in clustering C. elegans neurons using computational approaches. 4775-4781 - Alexey Petrushin, Lorenzo Ferrara, Axel W. Blau:
Optimization of an electro-optical representation of the C. elegans connectome through neural network cluster analysis. 4782-4788 - Xin Wen, Yaping Zhu:
Intermittent fault estimation for satellite attitude control systems based on the unknown input observer. 4789-4794 - Linlin Cao, Ran He, Bao-Gang Hu:
Locally imposing function for Generalized Constraint Neural Networks - A study on equality constraints. 4795-4802 - G. Sateesh Babu, Xiaoli Li, Suresh Sundaram:
Meta-cognitive Regression Neural Network for function approximation: Application to Remaining Useful Life estimation. 4803-4810 - Maryam Pazouki, Sonia Seyed Allaei, M. Hossein Pazouki, Dietmar P. F. Möller:
Adaptive learning algorithm for RBF Neural Networks in kernel spaces. 4811-4818 - Ladislav Zjavka, Václav Snásel, Varun Kumar Ojha, Witold Pedrycz:
A substitution of the general partial differential equation with extended polynomial networks. 4819-4826 - Vivek Srivastava, Bipin K. Tripathi, Vinay K. Pathak, Anand Tiwari:
On the synergism of evolutionary neuro-fuzzy system. 4827-4834 - Paulo Varela, Edson J. R. Justino, Alceu S. Britto Jr., Flávio Bortolozzi:
A computational approach for authorship attribution of literary texts using sintatic features. 4835-4842 - Julian Belz, Konrad Bamberger, Oliver Nelles:
Order of experimentation for metamodeling tasks. 4843-4849 - Shuai Pang, Yuhan Jia, Rebecca J. Stones, Gang Wang, Xiaoguang Liu:
A combined Bayesian network method for predicting drive failure times from SMART attributes. 4850-4856 - Raouia Mokni, Mohamed Elleuch, Monji Kherallah:
Biometric Palmprint identification via efficient texture features fusion. 4857-4864 - Rohitash Chandra, Ratneel Deo, Christian W. Omlin:
An architecture for encoding two-dimensional cyclone track prediction problem in coevolutionary recurrent neural networks. 4865-4872 - Liquan Nie, Yuanyuan Wang, Xiang Zhang, Xuhui Huang, Zhigang Luo:
Enhancing temporal alignment with autoencoder regularization. 4873-4879 - Yanli Du, Dongyang Sun, Jian Fu, Peng Zhang:
Adaptive maneuver control of hypersonic re-entry flight via self-organizing recurrent functional link network. 4880-4886 - Zifu Li, Tieshan Li, Gang Feng:
Adaptive neural control of pure-feedback stochastic nonlinear systems with multiple unknown time-varying delays. 4887-4894 - Ivo Bukovsky, Peter Benes, Martin Vesely, Jan Pitel, Madan M. Gupta:
Model reference multiple-degree-of-freedom adaptive control with HONUs. 4895-4900 - Mohammad Anwar Hosen, Abbas Khosravi, Saeid Nahavandi, Lachlan Sinnott:
Prediction interval-based ANFIS controller for nonlinear processes. 4901-4907 - Shin Wakitani, Toru Yamamoto:
A learning algorithm for a data-driven controller based on fictitious reference iterative tuning. 4908-4913 - Rui-Zhen Gao, Yujuan Wang, Jun-Feng Lai, Yongduan Song:
Self-organizing Neural adaptive tracking control of high speed trains subject to unexpected traction-breaking failures. 4914-4920 - Qichang Zheng, Sheng Li, Boyu Hou, Haoxiang Lang, Ying Wang:
An autonomous robot tracking system through fusing vision with sonar measurements. 4921-4926 - Uriel Martinez-Hernandez, Adrian Rubio Solis, Tony J. Prescott:
Bayesian perception of touch for control of robot emotion. 4927-4933 - Danilo Habermann, Carlos E. O. Vido, Fernando Santos Osório, Fabio Tozeto Ramos:
Road junction detection from 3D point clouds. 4934-4940 - Vignesh Narayanan, Sarangapani Jagannathan:
Event-sampled adaptive neural network control of robot manipulators. 4941-4946 - Marwen Belkaid, Nicolas Cuperlier, Philippe Gaussier:
Combining local and global visual information in context-based neurorobotic navigation. 4947-4954 - Augusto Gomez Eguiluz, Iñaki Rañó, Sonya A. Coleman, T. Martin McGinnity:
Continuous material identification through tactile sensing. 4955-4961 - Mashud Rana, Irena Koprinska, Vassilios G. Agelidis:
Solar power forecasting using weather type clustering and ensembles of neural networks. 4962-4969 - Swasti R. Khuntia, José L. Rueda, Mart A. M. M. van der Meijden:
Neural network-based load forecasting and error implication for short-term horizon. 4970-4975 - Andre Gensler, Bernhard Sick:
Forecasting wind power - an ensemble technique with gradual coopetitive weighting based on weather situation. 4976-4984 - Seyyed A. Fatemi, Anthony Kuh, Matthias Fripp:
Solar radiation forecast under convex piecewise linear cost functions. 4985-4990 - Liying Ma, Naoto Yorino, Khashayar Khorasani:
Solar radiation (insolation) forecasting using constructive neural networks. 4991-4998 - Mattia Morina, Francesco Grimaccia, Sonia Leva, Marco Mussetta:
Hybrid weather-based ANN for forecasting the production of a real wind power plant. 4999-5005 - Haijun Zhang, Shuang Wang, Xiong Cao, Heng Yue, Ke Wang:
Learning to link human objects in videos and advertisements with clothes retrieval. 5006-5013 - Hui Wei, Zheng Dong:
Contour representation and shape matching based on mechanism of visual cortex. 5014-5020 - Joseph Constantin, Ibtissam Constantin, André Bigand, Denis Hamad:
Perception of noise in global illumination based on inductive learning. 5021-5028 - Xiao Feng, Weibei Dou:
A biologically plausible spiking model for interaural level difference processing auditory pathway in human brain. 5029-5036 - Richard Gault, T. Martin McGinnity, Sonya A. Coleman:
Modelling the generation of tinnitus in a silent environment. 5037-5042 - A. Ravishankar Rao:
A spatio-temporal model of multi-sensory learning that demonstrates improved object recall. 5043-5050 - Devvi Sarwinda, Alhadi Bustamam:
Detection of Alzheimer's disease using advanced local binary pattern from hippocampus and whole brain of MR images. 5051-5056 - Bahareh Pourbabaee, Mehrsan Javan Roshtkhari, Khashayar Khorasani:
Feature leaning with deep Convolutional Neural Networks for screening patients with paroxysmal atrial fibrillation. 5057-5064 - Shujin Zhu, Hamid R. Tizhoosh:
Radon features and barcodes for medical image retrieval via SVM. 5065-5071 - Salety Ferreira Baracho, Daniel Jose Lins Leal Pinheiro, Vinícius Veloso de Melo, Regina Célia Coelho:
A hybrid neural system for the automatic segmentation of the interventricular septum in echocardiographic images. 5072-5078 - Nataliya Sokolovska, Nguyen Thanh Hai, Karine Clément, Jean-Daniel Zucker:
Deep Self-Organising Maps for efficient heterogeneous biomedical signatures extraction. 5079-5086 - Thanh Nguyen, Saeid Nahavandi, Douglas C. Creighton, Abbas Khosravi:
RNA-seq data analysis using nonparametric Gaussian process models. 5087-5093 - Xiaotian Yu, Haiqin Yang, Irwin King, Michael R. Lyu:
Online non-negative dictionary learning via moment information for sparse Poisson coding. 5094-5101 - Jun Zhang, Yuanqing Li, Zhu Liang Yu, Zhenghui Gu:
Sufficient conditions for sparse recovery by weighted ℓ1-constrained quadratic programming. 5102-5105 - Demetrio Ferro, Vincent Gripon, Xiaoran Jiang:
Nearest Neighbour Search using binary neural networks. 5106-5112 - Bingxin Xu, Qian Yin, Ping Guo, Hongzhe Liu:
Image representation via sub-dictionary based sparse coding. 5113-5118 - Nareg Berberian, Zoya Aamir, Sébastien Hélie, Sylvain Chartier:
Encoding sparse features in a Bidirectional Associative Memory. 5119-5126 - Rong Du, Yong Zhang, Boyue Wang, Hao Liu, Guanglei Qi, Baocai Yin:
Low-rank representation based traffic data completion method. 5127-5134 - Michal Dolecki, Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz:
Face recognition by humans performed on basis of linguistic descriptors and neural networks. 5135-5140 - Peipei Lv, Peng Yang, Yongqiang Dong, Liang Gu:
BALLKNN: An efficient and scalable KNN based on Euclidean similarity. 5141-5148 - Marcelo J. Cossetin, Júlio C. Nievola, Alessandro L. Koerich:
Facial expression recognition using a pairwise feature selection and classification approach. 5149-5155 - Junya Shimada, Satoko Sakajo:
A statistical approach to reduce failure facilities based on predictive maintenance. 5156-5160 - Ari Wibisono, Hanif Arief Wisesa, Wisnu Jatmiko, Petrus Mursanto, Devvi Sarwinda:
Perceptron rule improvement on FIMT-DD for large traffic data stream. 5161-5167 - Ahmed J. Aljaaf, Abir Jaafar Hussain, Paul Fergus, Andrzej Przybyla, Gabor J. Barton:
Evaluation of machine learning methods to predict knee loading from the movement of body segments. 5168-5173 - Gyeong-Moon Park, Jong-Hwan Kim:
Deep Adaptive Resonance Theory for learning biologically inspired episodic memory. 5174-5180 - Craig M. Vineyard, Stephen J. Verzi, Conrad D. James, James B. Aimone:
Quantifying neural information content: A case study of the impact of hippocampal adult neurogenesis. 5181-5188 - Motonobu Hattori, Yoshinori Kobayashi:
A hippocampal model for episodic memory using neurogenesis and asymmetric STDP. 5189-5193 - Jussi H. Poikonen, Eero Lehtonen, Mika Laiho:
Recursive functions in high-dimensional computing with random vectors. 5194-5201 - David Bhowmik, Kyriacos Nikiforou, Murray Shanahan, Michail Maniadakis, Panos E. Trahanias:
A reservoir computing model of episodic memory. 5202-5209 - James C. Knight, Aaron R. Voelker, Andrew Mundy, Chris Eliasmith, Steve B. Furber:
Efficient SpiNNaker simulation of a heteroassociative memory using the Neural Engineering Framework. 5210-5217 - Haolin Yang, Fuchun Sun, Wen-bing Huang, Le-le Cao, Bin Fang:
Tactile sequence based object categorization: A Bag of features modeled by Linear Dynamic System with Symmetric Transition Matrix. 5218-5225 - Hamid Khodabandehlou, Mohammed Sami Fadali:
Networked control of unmanned vehicle using wavelet-based generalized predictive controller. 5226-5233 - Mahdi Souzanchi-K, Moein Owhadi-Kareshk, Mohammad R. Akbarzadeh-Totonchi:
Control of elastic joint robot based on electromyogram signal by pre-trained Multi-Layer Perceptron. 5234-5240 - Etienne Dumesnil, Philippe-Olivier Beaulieu, Mounir Boukadoum:
Robotic implementation of classical and Operant Conditioning as a single STDP learning process. 5241-5247 - Tao Zhou, Bertram E. Shi:
Simultaneous learning of the structure and kinematic model of an articulated body from point clouds. 5248-5255 - C. S. Chen, Yaqing Hou, Yew-Soon Ong:
A conceptual modeling of flocking-regulated multi-agent reinforcement learning. 5256-5262 - Hongwen Ma, Derong Liu, Ding Wang:
Distributed control of second-order nonlinear time-delayed multiagent systems with disturbance using neural networks. 5263-5268 - Fatima B. Seeme, David G. Green:
Pluralistic ignorance: Emergence and hypotheses testing in a multi-agent system. 5269-5274 - Yanming Wu, Zhanshan Wang, Guotao Hui, Huaguang Zhang:
Cluster cooperative output regulation of heterogeneous linear multi-agent systems with multiple leaders. 5275-5280 - Lianghao Ji, Yi Tang, Qun Liu, Xiaofeng Liao:
On adaptive pinning consensus for dynamic multi-agent networks with general connected topology. 5281-5287 - Ana L. C. Bazzan, Ricardo Grunitzki:
A multiagent reinforcement learning approach to en-route trip building. 5288-5295 - Saurav Gupta, Nitin Anand Shrivastava, Abbas Khosravi, Bijaya Ketan Panigrahi:
Wind ramp event prediction with parallelized gradient boosted regression trees. 5296-5301
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