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ORCID27. ICANN 2018: Rhodes, Greece
- Vera Kurková, Yannis Manolopoulos, Barbara Hammer, Lazaros S. Iliadis, Ilias Maglogiannis:
Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part II. Lecture Notes in Computer Science 11140, Springer 2018, ISBN 978-3-030-01420-9
ELM/Echo State ANN
- Jacek Kabzinski
:
Rank-Revealing Orthogonal Decomposition in Extreme Learning Machine Design. 3-13 - Figlu Mohanty, Suvendu Rup, Bodhisattva Dash:
An Improved CAD Framework for Digital Mammogram Classification Using Compound Local Binary Pattern and Chaotic Whale Optimization-Based Kernel Extreme Learning Machine. 14-23 - Hoang Minh Nguyen, Gaurav Kalra, Tae Joon Jun, Daeyoung Kim:
A Novel Echo State Network Model Using Bayesian Ridge Regression and Independent Component Analysis. 24-34
Image Processing
- Huatian Wang, Jigen Peng, Paul Baxter, Chun Zhang, Zhihua Wang, Shigang Yue:
A Model for Detection of Angular Velocity of Image Motion Based on the Temporal Tuning of the Drosophila. 37-46 - Liping Han, Yonghua Xie:
Local Decimal Pattern for Pollen Image Recognition. 47-55 - Slawomir Golak, Anna Jama, Marcin Blachnik, Tadeusz Wieczorek:
New Architecture of Correlated Weights Neural Network for Global Image Transformations. 56-65 - Guillermo Sarasa, Aaron Montero, Ana Granados, Francisco B. Rodríguez:
Compression-Based Clustering of Video Human Activity Using an ASCII Encoding. 66-75
Medical/Bioinformatics
- Mihai Teletin, Gabriela Czibula, Maria-Iuliana Bocicor, Silvana Iuliana Albert, Alessandro Pandini:
Deep Autoencoders for Additional Insight into Protein Dynamics. 79-89 - Jiri Blahuta, Tomás Soukup, Jakub Skacel:
Pilot Design of a Rule-Based System and an Artificial Neural Network to Risk Evaluation of Atherosclerotic Plaques in Long-Range Clinical Research. 90-100 - Haigen Hu, Kangjie Li, Qiu Guan, Feng Chen, Shengyong Chen, Yicheng Ni:
A Multi-channel Multi-classifier Method for Classifying Pancreatic Cystic Neoplasms Based on ResNet. 101-108 - Baolin Du, Qi Qi, Han Zheng, Yue Huang, Xinghao Ding:
Breast Cancer Histopathological Image Classification via Deep Active Learning and Confidence Boosting. 109-116 - Lucas Aparecido Silva Kitano, Miguel Angelo de Abreu de Sousa, Sara Dereste Santos, Ricardo Pires, Sigride Thome-Souza, Alexandre Brincalepe Campo:
Epileptic Seizure Prediction from EEG Signals Using Unsupervised Learning and a Polling-Based Decision Process. 117-126 - Yang Li, Wenyu Zhou, Guiwen Lv, Guibo Luo, Yuesheng Zhu, Ji Liu:
Classification of Bone Tumor on CT Images Using Deep Convolutional Neural Network. 127-136 - Wei Tang, Dongsheng Zou, Su Yang, Jing Shi:
DSL: Automatic Liver Segmentation with Faster R-CNN and DeepLab. 137-147 - Nicoló Savioli, Silvia Visentin, Erich Cosmi, Enrico Grisan, Pablo Lamata, Giovanni Montana:
Temporal Convolution Networks for Real-Time Abdominal Fetal Aorta Analysis with Ultrasound. 148-157 - Junyu Liu, Yang Liu, Cheng Wang, Anwei Li, Bowen Meng, Xiangfei Chai, Panli Zuo:
An Original Neural Network for Pulmonary Tuberculosis Diagnosis in Radiographs. 158-166 - Karima Ben Suliman, Adam Krzyzak:
Computerized Counting-Based System for Acute Lymphoblastic Leukemia Detection in Microscopic Blood Images. 167-178 - Gregory Borodin, Olga V. Senyukova:
Right Ventricle Segmentation in Cardiac MR Images Using U-Net with Partly Dilated Convolution. 179-185 - Catalina Hernández, Sergio Villagrán, Johan Enrique Ortiz Guzmán, Paulo Alonso Gaona-García:
Model Based on Support Vector Machine for the Estimation of the Heart Rate Variability. 186-194 - Antoni Mauricio, Jorge López, Roger Huauya, José Díaz:
High-Resolution Generative Adversarial Neural Networks Applied to Histological Images Generation. 195-202
Kernel
- Lynn Houthuys, Johan A. K. Suykens:
Tensor Learning in Multi-view Kernel PCA. 205-215
Reinforcement
- Xue Han, Hongping Yan, Junge Zhang, Lingfeng Wang:
ACM: Learning Dynamic Multi-agent Cooperation via Attentional Communication Model. 219-229 - Andreas Bougiouklis, Antonis Korkofigkas, Giorgos Stamou:
Improving Fuel Economy with LSTM Networks and Reinforcement Learning. 230-239 - Kyrill Schmid, Lenz Belzner, Thomas Gabor, Thomy Phan:
Action Markets in Deep Multi-Agent Reinforcement Learning. 240-249 - Marios Karamanis, Davide Zambrano, Sander M. Bohté:
Continuous-Time Spike-Based Reinforcement Learning for Working Memory Tasks. 250-262 - Wenpeng Liu, Yanan Cao, Yanbing Liu, Yue Hu, Jianlong Tan:
Reinforcement Learning for Joint Extraction of Entities and Relations. 263-272
Pattern Recognition/Text Mining/Clustering
- Hongyu Li, Junhua Qiu, Fan Zhu:
TextNet for Text-Related Image Quality Assessment. 275-285 - Jian Hou, Chengcong Lv, Aihua Zhang, Xu E:
A Target Dominant Sets Clustering Algorithm. 286-295 - Aaron Montero, Jessica Lopez-Hazas, Francisco B. Rodríguez:
Input Pattern Complexity Determines Specialist and Generalist Populations in Drosophila Neural Network. 296-303 - Xiaomao Zhou, Cornelius Weber, Chandrakant Bothe, Stefan Wermter:
A Hybrid Planning Strategy Through Learning from Vision for Target-Directed Navigation. 304-311
Optimization/Recommendation
- Taisuke Kobayashi:
Check Regularization: Combining Modularity and Elasticity for Memory Consolidation. 315-325 - Xiaofang Zhang, Qian Zhou, Tieke He, Bin Liang:
Con-CNAME: A Contextual Multi-armed Bandit Algorithm for Personalized Recommendations. 326-336 - David Lenz, Christian Schulze, Michael Guckert:
Real-Time Session-Based Recommendations Using LSTM with Neural Embeddings. 337-348 - Anping Song, Quanhua Xu:
Imbalanced Data Classification Based on MBCDK-means Undersampling and GA-ANN. 349-358 - Angel Lareo, Pablo Varona, Francisco B. Rodríguez:
Evolutionary Tuning of a Pulse Mormyrid Electromotor Model to Generate Stereotyped Sequences of Electrical Pulse Intervals. 359-368 - Rafet Sifa:
An Overview of Frank-Wolfe Optimization for Stochasticity Constrained Interpretable Matrix and Tensor Factorization. 369-379
Computational Neuroscience
- Dawei Dai, Hui Wei, Su Zihao:
A Bio-Feasible Computational Circuit for Neural Activities Persisting and Decaying. 383-392 - Alessandra Lintas, Takeshi Abe, Alessandro E. P. Villa, Yoshiyuki Asai:
Granger Causality to Reveal Functional Connectivity in the Mouse Basal Ganglia-Thalamocortical Circuit. 393-402 - Xerxes D. Arsiwalla, Daniel Pacheco, Alessandro Principe, Rodrigo Rocamora, Paul F. M. J. Verschure:
A Temporal Estimate of Integrated Information for Intracranial Functional Connectivity. 403-412
SOM/SVM
- Maryam Sabzevari, Gonzalo Martínez-Muñoz, Alberto Suárez:
Randomization vs Optimization in SVM Ensembles. 415-421 - Alexander Gepperth, Ayanava Sarkar, Thomas Kopinski:
An Energy-Based Convolutional SOM Model with Self-adaptation Capabilities. 422-433 - Lingling Li, Kan Li, Chao Xiang:
A Hierarchy Based Influence Maximization Algorithm in Social Networks. 434-443 - Antreas Dionysiou, Michalis Agathocleous, Chris Christodoulou, Vasilis J. Promponas:
Convolutional Neural Networks in Combination with Support Vector Machines for Complex Sequential Data Classification. 444-455 - Waldemar Hartwig, Christina Klüver, Adnan Aziz, Dirk Hoffstadt:
Classification of SIP Attack Variants with a Hybrid Self-enforcing Network. 456-466
Anomaly Detection/Feature Selection/Autonomous Learning
- Yue Liu, Changqing Zhang, Pengfei Zhu, Qinghua Hu:
Generalized Multi-view Unsupervised Feature Selection. 469-478 - Juan Qiu, Qingfeng Du, Yu He, YiQun Lin, Jiaye Zhu, Kanglin Yin:
Performance Anomaly Detection Models of Virtual Machines for Network Function Virtualization Infrastructure with Machine Learning. 479-488 - Thibaut Kulak, Michaël Garcia Ortiz:
Emergence of Sensory Representations Using Prediction in Partially Observable Environments. 489-498
Signal Detection
- Parisa Rastin, Guénaël Cabanes, Basarab Matei, Jean-Marc Marty:
Change Detection in Individual Users' Behavior. 501-510 - Najmeddine Abdennour, Abir Hadriche, Tarek Frikha, Nawel Jmail:
Extraction and Localization of Non-contaminated Alpha and Gamma Oscillations from EEG Signal Using Finite Impulse Response, Stationary Wavelet Transform, and Custom FIR. 511-520
Long-Short Term Memory/Chaotic Complex Models
- Daisuke Karakama, Norihito Katamura, Chigusa Nakano, Yuko Osana:
Chaotic Complex-Valued Associative Memory with Adaptive Scaling Factor. 523-531 - Stefan Reitmann, Michael Schultz:
Computation of Air Traffic Flow Management Performance with Long Short-Term Memories Considering Weather Impact. 532-541
Wavelet/Reservoir Computing
- Naziha Dhibi, Akram Elkefi, Chokri Ben Amar:
A Study on the Influence of Wavelet Number Change in the Wavelet Neural Network Architecture for 3D Mesh Deformation Using Trust Region Spherical Parameterization. 545-555 - Eleonora Di Gregorio, Claudio Gallicchio, Alessio Micheli:
Combining Memory and Non-linearity in Echo State Networks. 556-566 - Alexander Efitorov, Vladimir Shiroky, Sergey Dolenko:
A Neural Network of Multiresolution Wavelet Analysis. 567-574
Similarity Measures/PSO - RBF
- Lluís A. Belanche:
Fast Supervised Selection of Prototypes for Metric-Based Learning. 577-586 - Ioannis A. Troumbis, George E. Tsekouras, Christos Kalloniatis, Panagiotis Papachiou, Dias Haralambopoulos:
Modeling Data Center Temperature Profile in Terms of a First Order Polynomial RBF Network Trained by Particle Swarm Optimization. 587-595 - Jiyi Li, Yukino Baba, Hisashi Kashima:
Incorporating Worker Similarity for Label Aggregation in Crowdsourcing. 596-606 - Mihailo Isakov, Michel A. Kinsy:
NoSync: Particle Swarm Inspired Distributed DNN Training. 607-619
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