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Publication search results
found 78 matches
- 2014
- Mark Abernethy, Shri M. Rai:
Cooperative Feature Level Data Fusion for Authentication Using Neural Networks. ICONIP (1) 2014: 578-585 - Altaf Hussain Abro, Michel C. A. Klein
, Adnan R. Manzoor, Seyed Amin Tabatabaei
, Jan Treur
:
A Computational Model of the Relation between Regulation of Negative Emotions and Mood. ICONIP (1) 2014: 59-68 - Robin Allesiardo, Raphaël Féraud, Djallel Bouneffouf:
A Neural Networks Committee for the Contextual Bandit Problem. ICONIP (1) 2014: 374-381 - Khairul Anam, Adel Al-Jumaily
:
Adaptive Wavelet Extreme Learning Machine (AW-ELM) for Index Finger Recognition Using Two-Channel Electromyography. ICONIP (1) 2014: 471-478 - Davide Bacciu, Alessio Micheli
, Alessandro Sperduti:
Modeling Bi-directional Tree Contexts by Generative Transductions. ICONIP (1) 2014: 543-550 - Mirza Mubasher Baig, Mian M. Awais, El-Sayed M. El-Alfy:
BOOSTRON: Boosting Based Perceptron Learning. ICONIP (1) 2014: 199-206 - Djallel Bouneffouf, Romain Laroche, Tanguy Urvoy, Raphaël Féraud, Robin Allesiardo:
Contextual Bandit for Active Learning: Active Thompson Sampling. ICONIP (1) 2014: 405-412 - Ruichu Cai, Chang Yuan, Zhifeng Hao, Wen Wen, Lijuan Wang, Weiqi Chen, Zhihao Li:
A Causal Model for Disease Pathway Discovery. ICONIP (1) 2014: 350-357 - Desiree Maldonado Carvalho
, Hugo Resende, Mariá C. V. Nascimento:
Modularity Maximization Adjusted by Neural Networks. ICONIP (1) 2014: 287-294 - B. Chandra, Rajesh Kumar Sharma:
Adaptive Noise Schedule for Denoising Autoencoder. ICONIP (1) 2014: 535-542 - Leana Copeland, Tom Gedeon, B. Sumudu U. Mendis:
Fuzzy Output Error as the Performance Function for Training Artificial Neural Networks to Predict Reading Comprehension from Eye Gaze. ICONIP (1) 2014: 586-593 - Tianben Ding
, Akira Hirose:
Fading Channel Prediction Based on Self-optimizing Neural Networks. ICONIP (1) 2014: 175-182 - El-Sayed M. El-Alfy:
ANFIS-Based Model for Improved Paraphrase Rating Prediction. ICONIP (1) 2014: 397-404 - Saeed Panahian Fard, Zarita Zainuddin:
Toroidal Approximate Identity Neural Networks Are Universal Approximators. ICONIP (1) 2014: 135-142 - Ruibin Feng, Chi-Sing Leung, Kai-Tat Ng
, John Sum:
The Performance of the Stochastic DNN-kWTA Network. ICONIP (1) 2014: 279-286 - Kenzaburo Fujiwara, Takuma Tanaka, Kiyohiko Nakamura:
Invariant Multiparameter Sensitivity of Oscillator Networks. ICONIP (1) 2014: 183-190 - Kunihiko Fukushima:
Add-if-Silent Rule for Training Multi-layered Convolutional Network Neocognitron. ICONIP (1) 2014: 78-85 - Tom Gedeon, Xuanying Zhu, Kun He, Leana Copeland:
Fuzzy Signature Neural Networks for Classification: Optimising the Structure. ICONIP (1) 2014: 335-341 - Mohammed Ghesmoune, Hanene Azzag, Mustapha Lebbah:
G-Stream: Growing Neural Gas over Data Stream. ICONIP (1) 2014: 207-214 - Sim Kuan Goh, Hussein A. Abbass, Kay Chen Tan
, Abdullah Al Mamun:
Artifact Removal from EEG Using a Multi-objective Independent Component Analysis Model. ICONIP (1) 2014: 570-577 - Pey Yun Goh
, Shing Chiang Tan
, Wooi Ping Cheah:
A Nodes Reduction Procedure for RBFNDDA through Histogram. ICONIP (1) 2014: 127-134 - Yingjie Gu, Zhong Jin, Steve C. Chiu:
Active Learning with Maximum Density and Minimum Redundancy. ICONIP (1) 2014: 103-110 - Yingjie Gu, Zhong Jin, Steve C. Chiu:
Combining Active Learning and Semi-supervised Learning Using Local and Global Consistency. ICONIP (1) 2014: 215-222 - Kasun Gunawardana, Jayantha Rajapakse, Damminda Alahakoon:
Improving Quantization Quality in Brain-Inspired Self-organization for Non-stationary Data Spaces. ICONIP (1) 2014: 519-526 - Yoichi Hayashi, Yuki Tanaka, Tomoki Izawa, Shota Fujisawa:
Characteristics and Potential Developments of Multiple-MLP Ensemble Re-RX Algorithm. ICONIP (1) 2014: 619-627 - Akira Hirose:
Complex-Valued Neural Networks - Recent Progress and Future Directions (Invited Paper). ICONIP (1) 2014: 223-230 - Hirotaka Inoue:
Self-organizing Neural Grove. ICONIP (1) 2014: 143-150 - Manjusri Ishwara, Jayantha Rajapakse, Damminda Alahakoon:
A Novel Architecture for Capturing Discrete Sequences Using Self-organizing Maps. ICONIP (1) 2014: 551-558 - Oumaima Alaoui Ismaili, Vincent Lemaire, Antoine Cornuéjols:
A Supervised Methodology to Measure the Variables Contribution to a Clustering. ICONIP (1) 2014: 159-166 - Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan:
Estimation of Hidden Markov Chains by a Neural Network. ICONIP (1) 2014: 602-609
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