IJCNN 2011: San Jose, California, USA

• Amar Saric, Jing Xiao:
  Efficient Levenberg-Marquardt minimization of the cross-entropy error function. 1-8
  
• D. Randall Wilson:
  Beyond probabilistic record linkage: Using neural networks and complex features to improve genealogical record linkage. 9-14
  
• M. A. Hasan, Mamun Bin Ibne Reaz, Muhammad I. Ibrahimy:
  Fetal electrocardiogram extraction and R-peak detection for fetal heart rate monitoring using artificial neural network and Correlation. 15-20
  
• Muhammad Raisul Alam, Mamun Bin Ibne Reaz, Fazida Hanim Hashim, Mohd. Alauddin Mohd. Ali:
  Stochastic analysis of smart home user activities. 21-23
  
• Zheng Yan, Jun Wang:
  Robust model predictive control of nonlinear affine systems based on a two-layer recurrent neural network. 24-29
  
• Xia Hong, Yu Gong, Sheng Chen:
  B-spline neural network based digital baseband predistorter solution using the inverse of De Boor algorithm. 30-36
  
• James Ting-Ho Lo:
  A low-order model of biological neural networks for hierarchical or temporal pattern clustering, detection and recognition. 37-44
  
• Thiago C. Silva, Liang Zhao:
  Network-based learning through particle competition for data clustering. 45-52
  
• Derong Liu, Ding Wang, Dongbin Zhao:
  Neural-network-based optimal control for a class of nonlinear cdiscrete-time systems with control constraints using the citerative GDHP algorithm. 53-60
  
• Qinglai Wei, Derong Liu:
  Optimal control for discrete-time nonlinear systems with unfixed initial state using adaptive dynamic programming. 61-67
  
• Shaoze Lei, Jianwen Zhang, Shifeng Weng, Changshui Zhang:
  Topic model with constrainted word burstiness intensities. 68-74
  
• Wenting Tu, Shiliang Sun:
  Semi-supervised feature extraction with local temporal regularization for EEG classification. 75-80
  
• Olivier F. Manette:
  Temporal and rate decoding in spiking neurons with dendrites. 81-85
  
• Ruxandra L. Costea, Corneliu A. Marinov:
  Continuous time recurrent neural network designed for KWTA operation. 86-89
  
• David D. Olmsted:
  Foraging behavior in a 3-D virtual sea snail having a spiking neural network brain. 90-94
  
• José F. Fontanari, Leonid I. Perlovsky, Marie-Claude Bonniot-Cabanac, Michel Cabanac:
  Emotions of cognitive dissonance. 95-102
  
• Ahmad Salman, Ke Chen:
  Exploring speaker-specific characteristics with deep learning. 103-110
  
• Petia Georgieva, Sebastião Feyo de Azevedo:
  Neural networks for model predictive control. 111-118
  
• Ting Huang, Derong Liu:
  Residential energy system control and management using adaptive dynamic programming. 119-124
  
• Jian Wang, Wei Wu, Jacek M. Zurada:
  Boundedness and convergence of MPN for cyclic and almost cyclic learning with penalty. 125-132
  
• Jean-Philippe Thivierge, Frédéric Dandurand, Denis Cousineau:
  A multi-state model of cortical memory. 133-138
  
• Lijun Wang, Ming Dong:
  On the clustering of large-scale data: A matrix-based approach. 139-144
  
• Ming-Bo Zhao, Zhao Zhang, Tommy W. S. Chow:
  ITR-Score algorithm: An efficient Trace ratio criterion based algorithm for supervised dimensionality reduction. 145-152
  
• Junbin Gao:
  Multi-task beta process sparse kernel machines. 153-158
  
• Hong-Wei Hao, Cui-Xia Mu, Xu-Cheng Yin, Zhi-Bin Wang:
  Handwritten Chinese character identification with Bagged One-Class support vector machines. 159-164
  
• Lyle N. Long:
  Adaptive spiking neural networks with Hodgkin-Huxley neurons and Hebbian learning. 165-166
  
• Paulo Varela, Edson J. R. Justino, Luiz S. Oliveira:
  Selecting syntactic attributes for authorship attribution. 167-172
  
• Sébastien Hélie, Ron Sun:
  How the core theory of CLARION captures human decision-making. 173-180
  
• Eftim Zdravevski, Petre Lameski, Andrea Kulakov:
  Weight of evidence as a tool for attribute transformation in the preprocessing stage of supervised learning algorithms. 181-188
  
• Chao Yuan:
  Conditional multi-output regression. 189-196
  
• Chong-Jia Ni, Wenju Liu, Bo Xu:
  Prosody dependent Mandarin speech recognition. 197-201
  
• Martha Pulido, Patricia Melin, Oscar Castillo:
  Genetic optimization of ensemble neural networks for complex time series prediction. 202-206
  
• Sébastien Hélie, Erick J. Paul, F. Gregory Ashby:
  Simulating Parkinson's disease patient deficits using a COVIS-based computational model. 207-214
  
• Asim Roy:
  A theory of the brain - the brain uses both distributed and localist (symbolic) representation. 215-221
  
• Fengchen Liu, Yongsheng Ding, Weixun Gao:
  Bio-inspired balanced tree structure dynamic network. 222-229
  
• Baoyuan Wu, Baogang Hu:
  Density and neighbor Adaptive Information Theoretic Clustering. 230-237
  
• Sergio Decherchi, Davide Leoncini, Paolo Gastaldo, Rodolfo Zunino, Osvaldo Faggioni, Maurizio Soldani:
  Computational intelligence methods for underwater magnetic-based protection systems. 238-245
  
• Rafael Marcos Luque, David A. Elizondo, Ezequiel López-Rubio, Esteban J. Palomo:
  GA-based feature selection approach in biometric hand systems. 246-253
  
• Piyabute Fuangkhon, Thitipong Tanprasert:
  An Outpost Vector placement evaluation of an incremental learning algorithm for Support Vector Machine. 254-261
  
• Tamás Krisztin, Matthias Koch:
  Agent teams and evolutionary computation: Optimizing semi-parametric spatial autoregressive models. 262-266
  
• Ieroham S. Baruch, Eloy E. Saldierna, Oscar Castillo:
  Distributed parameter bioprocess plant identification and I-term control using centralized recurrent neural network models. 267-274
  
• Marcos Eduardo Valle, Daniela Maria Grande Vicente:
  Some experimental results on sparsely connected autoassociative morphological memories for the reconstruction of color images corrupted by either impulsive or Gaussian noise. 275-282
  
• Aida A. Ferreira, Teresa Bernarda Ludermir:
  Comparing evolutionary methods for reservoir computing pre-training. 283-290
  
• Kyle B. Dickerson, Dan Ventura:
  A SOM-based multimodal system for musical query-by-content. 291-298
  
• Takio Kurita:
  Discriminant Kernels derived from the optimum nonlinear discriminant analysis. 299-306
  
• Jean Huertas, Liang Zhao:
  Controlled consensus time for community detection in complex networks. 307-313
  
• Fevrier Valdez, Patricia Melin, Herman Parra:
  Parallel genetic algorithms for optimization of Modular Neural Networks in pattern recognition. 314-319
  
• Hirokazu Madokoro, Masahiro Tsukada, Kazuhito Sato:
  Unsupervised feature selection and category formation for mobile robot vision. 320-327
  
• Yu Fang, Xiaodong Gu, Yuanyuan Wang:
  Attention selection model using Weight Adjusted Topological properties and quantification evaluating criterion. 328-335
  
• Ajay S. Iyer, Fredric M. Ham, Milton Garces:
  Neural classification of infrasonic signals associated with hazardous volcanic eruptions. 336-341
  
• Yi Luo, Yoo-Hsiu Yeh, Abraham K. Ishihara:
  Robot control with a fully tuned Growing Radial Basis Function neural network. 342-348
  
• Wei Wang, Baichuan Li, Irwin King:
  Improving question retrieval in community question answering with label ranking. 349-356
  
• Thomas Walther, Rolf P. Würtz:
  Autonomous learning of a human body model. 357-364
  
• Chun-Shu Wei, Li-Wei Ko, Shang-Wen Chuang, Tzyy-Ping Jung, Chin-Teng Lin:
  Genetic feature selection in EEG-based motion sickness estimation. 365-369
  
• Álvaro Barbero Jiménez, José R. Dorronsoro:
  Momentum Sequential Minimal Optimization: An accelerated method for Support Vector Machine training. 370-377
  
• Ron Sun, Nick Wilson, Robert C. Mathews:
  Mental disorders within a cognitive architecture. 378-385
  
• Yuuji Ichisugi:
  Recognition model of cerebral cortex based on approximate belief revision algorithm. 386-391
  
• Kai Keng Ang, Zhengyang Chin, Haihong Zhang, Cuntai Guan:
  Filter Bank Common Spatial Pattern (FBCSP) algorithm using online adaptive and semi-supervised learning. 392-396
  
• Eiji Mizutani, James Demmel:
  On improving trust-region variable projection algorithms for separable nonlinear least squares learning. 397-404
  
• Hiroomi Hikawa, Yusuke Araga:
  Study on gesture recognition system using posture classifier and Jordan recurrent neural network. 405-412
  
• Jorge López Lázaro, José R. Dorronsoro:
  Convergence of algorithms for solving the Nearest Point Problem in Reduced Convex Hulls. 413-420
  
• Hui Wei, Xiaomei Wang:
  A neural circuit model for nCRF's dynamic adjustment and its application on image representation. 421-429
  
• Leonid I. Perlovsky:
  Creativity and thinking according to cognition-language-music model. 430-436
  
• Thomas Villmann, Sven Haase:
  Magnification in divergence based neural maps. 437-441
  
• Robert A. Nawrocki, Richard M. Voyles:
  Artificial neural network performance degradation under network damage: Stuck-at faults. 442-449
  
• Robert A. Nawrocki, Sean E. Shaheen, Richard M. Voyles:
  A neuromorphic architecture from single transistor neurons with organic bistable devices for weights. 450-456
  
• Juha Karhunen, Tele Hao:
  Finding dependent and independent components from two related data sets. 457-466
  
• Francesca Stramandinoli, Angelo Cangelosi, Davide Marocco:
  Towards the grounding of abstract words: A Neural Network model for cognitive robots. 467-474
  
• R. Díaz-Morales, H. Y. Molina-Bulla, Angel Navia-Vázquez:
  Parallel Semiparametric Support Vector Machines. 475-481
  
• Jiangye Yuan, DeLiang Wang, Rongxing Li:
  Image segmentation based on local spectral histograms and linear regression. 482-488
  
• Goktug T. Cinar, Jose C. Principe:
  Adaptive background estimation using an information theoretic cost for hidden state estimation. 489-494
  
• Janusz A. Starzyk:
  Mental saccades in control of cognitive process. 495-502
  
• Gerhard X. Ritter, Gonzalo Urcid:
  Perfect recall from noisy input patterns with a dendritic lattice associative memory. 503-510
  
• David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos:
  Power wind mill fault detection via one-class ν-SVM vibration signal analysis. 511-518
  
• Alexis Bondu, Marc Boullé:
  A supervised approach for change detection in data streams. 519-526
  
• Alexander Mehler, Andy Lücking, Peter Menke:
  From neural activation to symbolic alignment: A network-based approach to the formation of dialogue lexica. 527-536
  
• Nguyen Thai-Nghe, Zeno Gantner, Lars Schmidt-Thieme:
  A new evaluation measure for learning from imbalanced data. 537-542
  
• Mark Rowan:
  Effects of compensation, connectivity and tau in a computational model of Alzheimer's Disease. 543-550
  
• Isabel Volpe, Viviane Moreira, Christian R. Huyck:
  Cell assemblies for query expansion in Information Retrieval. 551-558
  
• Alexander A. Frolov, Dusan Húsek, Pavel Yu. Polyakov:
  Expectation-maximization approach to Boolean factor analysis. 559-566
  
• Simon de Montigny, Richard Labib:
  Learning algorithms for a specific configuration of the quantron. 567-572
  
• Leonid I. Perlovsky:
  Embodied cognition, language, and mirror neuron system. 573-579
  
• Levy Boccato, Amauri Lopes, Romis Attux, Fernando J. Von Zuben:
  An echo state network architecture based on volterra filtering and PCA with application to the channel equalization problem. 580-587
  
• Ricardo de A. Araújo, Adriano L. I. Oliveira, Sérgio C. B. Soares, Silvio R. L. Meira:
  Gradient-based morphological approach for software development cost estimation. 588-594
  
• Ricardo de A. Araújo, Adriano L. I. Oliveira, Sérgio C. B. Soares, Silvio R. L. Meira:
  Designing dilation-erosion perceptrons with differential evolutionary learning for air pressure forecasting. 595-602
  
• Pawel Raif, Janusz A. Starzyk:
  Motivated learning in autonomous systems. 603-610
  
• Eva Kaslik, Seenith Sivasundaram:
  Dynamics of fractional-order neural networks. 611-618
  
• Manan Suri, Veronique Sousa, Luca Perniola, Dominique Vuillaume, Barbara DeSalvo:
  Phase change memory for synaptic plasticity application in neuromorphic systems. 619-624
  
• John A. Bullinaria:
  Text to phoneme alignment and mapping for speech technology: A neural networks approach. 625-632
  
• Sauptik Dhar, Vladimir Cherkassky:
  Application of SOM to analysis of Minnesota soil survey data. 633-639
  
• Joshua G. Hughes, George G. Lendaris:
  Explorations on system identification via higher-level application of Adaptive-Critic Approximate Dynamic Programming. 640-647
  
• Pitoyo Hartono:
  Ensemble of perceptrons with confidence measure for piecewise linear decomposition. 648-653
  
• B. V. Phani, Bala Chandra, Vijay Raghav:
  Quest for efficient option pricing prediction model using machine learning techniques. 654-657
  
• Adam H. Peterson, Tony R. Martinez, George L. Rudolph:
  On the structure of algorithm spaces. 658-665
  
• Vladimir Cherkassky, Sohini Roy Chowdhury, Volker Landenberger, Saurabh Tewari, Paul Bursch:
  Prediction of electric power consumption for commercial buildings. 666-672
  
• Rohitash Chandra, Marcus R. Frean, Mengjie Zhang:
  A memetic framework for cooperative coevolution of recurrent neural networks. 673-680
  
• Rohitash Chandra, Marcus R. Frean, Mengjie Zhang:
  Modularity adaptation in cooperative coevolution of feedforward neural networks. 681-688
  
• Ryotaro Kamimura:
  Cooperation control and enhanced class structure in self-organizing maps. 689-695
  
• Le An, Bir Bhanu:
  Improved image super-resolution by Support Vector Regression. 696-700
  
• Ryota Yokote, Toshikazu Nakamura, Yasuo Matsuyama:
  Independent component analysis with graphical correlation: Applications to multi-vision coding. 701-708
  
• Sepideh Sadeghi, Kiruthika Ramanathan:
  A Hubel Wiesel model of early concept generalization based on local correlation of input features. 709-716
  
• Yutaro Yamashita, Hiroyuki Torikai:
  A novel piece-wise constant analog spiking neuron model and its neuron-like excitabilities. 717-724
  
• José García Rodríguez, Anastassia Angelopoulou, Juan Manuel García Chamizo, Alexandra Psarrou, Sergio Orts, Vicente Morell:
  Fast Autonomous Growing Neural Gas. 725-732
  
• Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan:
  Simultaneous learning of several Bayesian and Mahalanobis discriminant functions by a neural network with additional nodes. 733-740
  
• Takashi Matsubara, Hiroyuki Torikai:
  A novel asynchronous digital spiking neuron model and its various neuron-like bifurcations and responses. 741-748
  
• Aram Kawewong, Sirinart Tangruamsub, Pichai Kankuekul, Osamu Hasegawa:
  Fast online incremental transfer learning for unseen object classification using self-organizing incremental neural networks. 749-756
  
• Reza Khosrowabadi, Chai Quek, Kai Keng Ang, Sau Wai Tung, Michel Heijnen:
  A Brain-Computer Interface for classifying EEG correlates of chronic mental stress. 757-762
  
• John C. Murray, Harry R. Erwin:
  A neural network classifier for notch filter classification of sound-source elevation in a mobile robot. 763-769
  
• Matthew Cook, Luca Gugelmann, Florian Jug, Christoph Krautz, Angelika Steger:
  Interacting maps for fast visual interpretation. 770-776
  
• Franck Dufrenois, Jean-Charles Noyer:
  Discriminative Hat Matrix: A new tool for outlier identification and linear regression. 777-784
  
• Ronaldo R. B. de Aquino, Otoni Nóbrega Neto, Milde M. S. Lira, Manoel A. Carvalho:
  Solving a real large scale mid-term scheduling for power plants via hybrid intelligent neural networks systems. 785-792
  
• Isabelle Guyon, Gideon Dror, Vincent Lemaire, Graham W. Taylor, David W. Aha:
  Unsupervised and transfer learning challenge. 793-800
  
• Ashfaqur Rahman, Brijesh Verma:
  Ensemble classifier composition: Impact on feature based offline cursive character recognition. 801-807
  
• Yasuo Matsuyama:
  Hidden Markov model estimation based on alpha-EM algorithm: Discrete and continuous alpha-HMMs. 808-816
  
• Cheng-Jian Lin, Chin-Ling Lee, Chun-Cheng Peng:
  A self-organizing neural network using hierarchical particle swarm optimization. 817-820
  
• Cheng-Jian Lin, Chin-Ling Lee, Chun-Cheng Peng:
  Chord recognition using neural networks based on Particle Swarm Optimization. 821-827
  
• Daniel Calderon Reyes, Tatiana Baidyk, Ernst M. Kussul:
  Information coding with neural ensembles for a mobile robot. 828-835
  
• Nishal Shah, Frédéric Alexandre:
  Reinforcement learning and dimensionality reduction: A model in computational neuroscience. 836-842
  
• Washington W. Azevedo, Cleber Zanchettin:
  A MLP-SVM hybrid model for cursive handwriting recognition. 843-850
  
• Rakia Jaziri, Mustapha Lebbah, Nicoleta Rogovschi, Younès Bennani:
  Probabilistic Self-Organizing Maps for multivariate sequences. 851-858
  
• Olivier Bichler, Damien Querlioz, Simon J. Thorpe, Jean-Philippe Bourgoin, Christian Gamrat:
  Unsupervised features extraction from asynchronous silicon retina through Spike-Timing-Dependent Plasticity. 859-866
  
• Mario Malcangi:
  Smart recognition and synthesis of emotional speech for embedded systems with natural user interfaces. 867-871
  
• Nistor Grozavu, Mohamad Ghassany, Younès Bennani:
  Learning confidence exchange in Collaborative Clustering. 872-879
  
• Sivalogeswaran Ratnasingam, T. Martin McGinnity:
  A spiking neural network for tactile form based object recognition. 880-885
  
• Daniel S. Levine:
  The pitfalls of doing the right thing for the wrong reason. 886-891
  
• Sandeep Tiwari, Kiruthika Ramanathan:
  Utilizing Hubel Wiesel models for semantic associations and topics extraction from unstructured text. 892-898
  
• Koichiro Yamauchi:
  Pruning with replacement and automatic distance metric detection in limited general regression neural networks. 899-906
  
• R. Rajesh, K. Rajeev, K. Suchithra, Lekhesh V. Prabhu, V. Gopakumar, N. K. Ragesh:
  Coherence vector of Oriented Gradients for traffic sign recognition using Neural Networks. 907-910
  
• Zhitang Chen, Laiwan Chan:
  New approaches for solving permutation indeterminacy and scaling ambiguity in frequency domain separation of convolved mixtures. 911-918
  
• Bala Chandra, Kuppili Venkata Naresh Babu:
  An improved architecture for Probabilistic Neural Networks. 919-924
  
• Sungmoon Jeong, Minho Lee:
  Incremental object classification using hierarchical generative Gaussian mixture and topology based feature representation. 925-932
  
• Katsutoshi Miyahara, Masaru Kuroiwa, Gang Wang:
  A statistical parametric method for the extraction of stimulus dependent activity from intrinsic optical signals. 933-936
  
• Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu:
  A fast learning algorithm with Promising Convergence Capability. 937-942
  
• Francesco Galluppi, Steve Furber:
  Representing and decoding rank order codes using polychronization in a network of spiking neurons. 943-950
  
• Toshiki Wakamatsu, Haruhiko Takase, Hiroharu Kawanaka, Shinji Tsuruoka:
  A training algorithm for SpikeProp improving stability of learning process. 951-955
  
• Jean-Charles Lamirel, Raghvendra Mall, Pascal Cuxac, Ghada Safi:
  Variations to incremental growing neural gas algorithm based on label maximization. 956-965
  
• Nima Reyhani, Erkki Oja:
  Non-Gaussian component analysis using Density Gradient Covariance matrix. 966-972
  
• Markus Thom, Roland Schweiger, Günther Palm:
  Supervised Matrix Factorization with sparseness constraints and fast inference. 973-979
  
• Naho Ito, Masafumi Hagiwara:
  Natural language generation using automatically constructed lexical resources. 980-987
  
• Bala Chandra, Shalini Bhaskar:
  A new algorithm for graph mining. 988-995
  
• Yu-Ju Lee, Chuan-Yung Tsai, Liang-Gee Chen:
  A cortex-like model for rapid object recognition using feature-selective hashing. 996-1002
  
• Cornelius Glackin, Liam P. Maguire, Liam McDaid, John J. Wade:
  Lateral inhibitory networks: Synchrony, edge enhancement, and noise reduction. 1003-1009
  
• Christophe Salperwyck, Vincent Lemaire:
  Learning with few examples: An empirical study on leading classifiers. 1010-1019
  
• Frank Samuelson, David G. Brown:
  Application of Cover's theorem to the evaluation of the performance of CI observers. 1020-1026
  
• Aurel A. Lazar, Yiyin Zhou:
  Realizing Video Time Decoding Machines with recurrent neural networks. 1027-1034
  
• Yasuaki Kuroe:
  Models of clifford recurrent neural networks and their dynamics. 1035-1041
  
• Diego Viejo, José García Rodríguez, Miguel Cazorla, David Gil Mendez, Magnus Johnsson:
  Using 3D GNG-based reconstruction for 6DoF egomotion. 1042-1048
  
• Gonzalo Safont, Addisson Salazar, Luis Vergara, Raul Llinares, Jorge Igual:
  Wiener systems for reconstruction of missing seismic traces. 1049-1053
  
• Marcilio C. P. de Souto, Jose C. M. Oliveira, Teresa Bernarda Ludermir:
  A tool to implement probabilistic automata in RAM-based neural networks. 1054-1060
  
• Pierre Cagnac, Noel Di Noia, Chao-Hui Huang, Daniel Racoceanu, Laurent Chaudron:
  Consciousness-driven model for visual attention. 1061-1066
  
• Alma Y. Alanis, Michel López-Franco, Nancy Arana-Daniel, Carlos López-Franco:
  Discrete-time neural identifier for electrically driven nonholonomic mobile robots. 1067-1073
  
• Nathan Green, Manjeet Rege, Xumin Liu, Reynold Bailey:
  Evolutionary spectral co-clustering. 1074-1081
  
• Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, Teresa Bernarda Ludermir:
  Uncertainty sampling methods for selecting datasets in active meta-learning. 1082-1089
  
• Ioana Sporea, André Grüning:
  Reference time in SpikeProp. 1090-1092
  
• Kou-Yuan Huang, Liang-Chi Shen, Li-Sheng Weng:
  Radial basis function network for well log data inversion. 1093-1098
  
• Thomas Sharp, Cameron Patterson, Steve Furber:
  Distributed configuration of massively-parallel simulation on SpiNNaker neuromorphic hardware. 1099-1105
  
• Golrokh Mirzaei, Mohammad Wadood Majid, Mohsin M. Jamali, Jeremy Ross, Joseph P. Frizado, Peter V. Gorsevski, Verner P. Bingman:
  The application of Evolutionary Neural Network for bat echolocation calls recognition. 1106-1111
  
• Laura Emmanuella A. Santana, Anne M. P. Canuto, Ligia Silva:
  Bio-inspired meta-heuristic as feature selector in ensemble systems: A comparative analysis. 1112-1119
  
• Olivier Temam, Rodolphe Héliot:
  Implementation of signal processing tasks on neuromorphic hardware. 1120-1125
  
• Rafael M. O. Cruz, George D. C. Cavalcanti, Ing Ren Tsang:
  A method for dynamic ensemble selection based on a filter and an adaptive distance to improve the quality of the regions of competence. 1126-1133
  
• Richard C. Windecker:
  Stochastic Artificial Neural Networks and random walks. 1134-1140
  
• Vladimir Pestov:
  PAC learnability versus VC dimension: A footnote to a basic result of statistical learning. 1141-1145
  
• Ming Gao, Xia Hong, Sheng Chen, Chris J. Harris:
  On combination of SMOTE and particle swarm optimization based radial basis function classifier for imbalanced problems. 1146-1153
  
• Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella:
  In-sample model selection for Support Vector Machines. 1154-1161
  
• Arfan Ghani, Liam McDaid, Ammar Belatreche, Peter M. Kelly, Steve Hall, Thomas Dowrick, Shou Huang, John Marsland, Andy Smith:
  Evaluating the training dynamics of a CMOS based synapse. 1162-1168
  
• Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella:
  Selecting the hypothesis space for improving the generalization ability of Support Vector Machines. 1169-1176
  
• A. Ravishankar Rao, Guillermo A. Cecchi:
  The effects of feedback and lateral connections on perceptual processing: A study using oscillatory networks. 1177-1184
  
• Rigoberto Fonseca, Pilar Gómez-Gil, Jesus A. Gonzalez, Ivan Olmos:
  Finding patterns in labeled graphs using spectrum feature vectors in a SOM network. 1185-1190
  
• Leo Pape, Faustino J. Gomez, Juergen Ring, Jürgen Schmidhuber:
  Modular deep belief networks that do not forget. 1191-1198
  
• Lidio Mauro Lima de Campos, Mauro Roisenberg, Roberto Celio Limao de Oliveira:
  Automatic design of Neural Networks with L-Systems and genetic algorithms - A biologically inspired methodology. 1199-1206
  
• David Gil Mendez, José García Rodríguez, Miguel Cazorla, Magnus Johnsson:
  Predictions tasks with words and sequences: Comparing a novel recurrent architecture with the Elman network. 1207-1213
  
• Baohua Li, Jennie Si:
  Belief function model for reliable optimal set estimation of transition matrices in discounted infinite-horizon Markov decision processes. 1214-1221
  
• Renato R. da Silva, Roseli Aparecida Francelin Romero:
  Relational reinforcement learning and recurrent neural network with state classification to solve joint attention. 1222-1229
  
• Atsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda, Masa-aki Sato:
  Phase diagrams of a variational Bayesian approach with ARD prior in NIRS-DOT. 1230-1236
  
• William Cukierski, Benjamin Hamner, Bo Yang:
  Graph-based features for supervised link prediction. 1237-1244
  
• Mojtaba Seyedhosseini, António R. C. Paiva, Tolga Tasdizen:
  Fast AdaBoost training using weighted novelty selection. 1245-1250
  
• Jindong Liu, Harry R. Erwin, Guang-Zhong Yang:
  Attention driven computational model of the auditory midbrain for sound localization in reverberant environments. 1251-1258
  
• Jing Chao, Furao Shen, Jinxi Zhao:
  Forecasting exchange rate with deep belief networks. 1259-1266
  
• Daniela Sánchez, Patricia Melin, Oscar Castillo:
  Hierarchical genetic optimization of modular neural networks and their type-2 fuzzy response integrators for human recognition based on multimodal biometry. 1267-1274
  
• Shuqing Zeng, Yanhua Chen:
  Online-learned classifiers for robust multitarget tracking. 1275-1280
  
• Songlin Zhao, José Carlos Príncipe:
  A nonparametric information theoretic approach for change detection in time series. 1281-1284
  
• Akio Yoshida, Yuko Osana:
  Chaotic Complex-valued Multidirectional Associative Memory with variable scaling factor - One-to-many association ability -. 1285-1292
  
• Xueyi Wang:
  A fast exact k-nearest neighbors algorithm for high dimensional search using k-means clustering and triangle inequality. 1293-1299
  
• Akira Cho, Yuko Osana:
  Melody retrieval by self-organizing map with refractoriness which has robustness for fluctuation of key input. 1300-1307
  
• Eduardo Vázquez-Santacruz, Eduardo Bayro-Corrochano:
  An improved geometric Radial Basis function Network for Hand-Eye Calibration. 1308-1315
  
• Steven Gutstein, Olac Fuentes, Eric Freudenthal:
  Latent learning - What your net also learned. 1316-1321
  
• Weike Pan, James T. Kwok:
  Structured clustering with automatic kernel adaptation. 1322-1327
  
• Igor N. Aizenberg, Jacob Jackson, Shane Alexander:
  Classification of blurred textures using multilayer neural network based on multi-valued neurons. 1328-1335
  
• Subha Danushika Fernando, Koichi Yamada, Ashu Marasinghe:
  Observed Stent's anti-Hebbian postulate on dynamic stochastic computational synapses. 1336-1343
  
• Anwesha Khasnobish, Saugat Bhattacharyya, Amit Konar, D. N. Tibarewala, Atulya K. Nagar:
  A Two-fold classification for composite decision about localized arm movement from EEG by SVM and QDA techniques. 1344-1351
  
• Zhengyang Chin, Kai Keng Ang, Cuntai Guan, Chuanchu Wang, Haihong Zhang:
  Filter Bank Feature Combination (FBFC) approach for brain-computer interface. 1352-1357
  
• Jacques A. Dolan, Ritchie Lee, Yoo-Hsiu Yeh, Chiping Yeh, Daniel Y. Nguyen, Shahar Ben-Menahem, Abraham K. Ishihara:
  Neural network estimation of photovoltaic I-V curves under partially shaded conditions. 1358-1365
  
• Masaaki Kimura, Teijiro Isokawa, Haruhiko Nishimura, Nobuyuki Matsui:
  On retrieval performance of associative memory by Complex-valued Synergetic Computer. 1366-1371
  
• Sundaram Suresh, Ramaswamy Savitha, Narasimhan Sundararajan:
  A fast learning Fully Complex-valued Relaxation Network (FCRN). 1372-1377
  
• Ying Hu, Anthony Kuh, Aleksandar Kavcic, Dora Nakafuji:
  Real-time state estimation on micro-grids. 1378-1385
  
• Michael J. Newton, Leslie S. Smith:
  Biologically-inspired neural coding of sound onset for a musical sound classification task. 1386-1393
  
• Alberione Braz da Silva, João Luís Garcia Rosa:
  Advances on criteria for biological plausibility in artificial neural networks: Think of learning processes. 1394-1401
  
• Pingping Zhu, Badong Chen, Jose C. Principe:
  Extended Kalman filter using a kernel recursive least squares observer. 1402-1408
  
• Alexandre Pitti, Yasuo Kuniyoshi:
  Modeling the cholinergic innervation in the infant cortico-hippocampal system and its contribution to early memory development and attention. 1409-1416
  
• Nadia Mammone, Francesco Carlo Morabito:
  Analysis of absence seizure EEG via Permutation Entropy spatio-temporal clustering. 1417-1422
  
• Yoshihiro Kato, Yasuhiro Ueda, Yoko Uwate, Yoshifumi Nishio:
  Cellular Neural Networks with switching two types of templates. 1423-1428
  
• Nathan Rose:
  Selective adjustment of rotationally-asymmetric neuron σ-widths. 1429-1436
  
• Tao Zhou, Piotr Dudek, Bertram E. Shi:
  Self-Organizing Neural Population Coding for improving robotic visuomotor coordination. 1437-1444
  
• Katsunari Shibata, Hiroki Utsunomiya:
  Discovery of pattern meaning from delayed rewards by reinforcement learning with a recurrent neural network. 1445-1452
  
• Johannes Stallkamp, Marc Schlipsing, Jan Salmen, Christian Igel:
  The German Traffic Sign Recognition Benchmark: A multi-class classification competition. 1453-1460
  
• Enrico Heinrich, Ralf Joost, Ralf Salomon:
  A digital implementation of the nucleus laminaris. 1461-1465
  
• Lester L. Solbakken, Steffen Junge:
  Online parts-based feature discovery using competitive activation neural networks. 1466-1473
  
• Irena Koprinska, Mashud Rana, Vassilios G. Agelidis:
  Yearly and seasonal models for electricity load forecasting. 1474-1481
  
• Luciana C. D. Campos, Marley Maria Bernardes Rebuzzi Vellasco, Juan G. Lazo Lazo:
  A stochastic model based on neural networks. 1482-1488
  
• Md. Faijul Amin, Ramaswamy Savitha, Muhammad Ilias Amin, Kazuyuki Murase:
  Complex-valued functional link network design by orthogonal least squares method for function approximation problems. 1489-1496
  
• Chin-Teng Lin, Shi-An Chen, Li-Wei Ko, Yu-Kai Wang:
  EEG-based brain dynamics of driving distraction. 1497-1500
  
• Saeed Khakmardan, Hanieh Poostchi, M.-R. Akbarzadeh-T:
  Solving Traveling Salesman Problem by a hybrid combination of PSO and Extremal Optimization. 1501-1507
  
• Telmo de M. Silva Filho, Renata M. C. R. de Souza:
  Pattern classifiers with adaptive distances. 1508-1514
  
• Sergey Tarasenko:
  A general framework for development of the cortex-like visual object recognition system: Waves of spikes, predictive coding and universal dictionary of features. 1515-1522
  
• Shuhei Ohno, Hideyuki Kato, Tohru Ikeguchi:
  Neuronal avalanche induced by multiplicative spike-timing-dependent plasticity. 1523-1529
  
• Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos:
  On the behavior of feature selection methods dealing with noise and relevance over synthetic scenarios. 1530-1537
  
• Frank-Michael Schleif:
  Sparse kernelized vector quantization with local dependencies. 1538-1545
  
• Rajiv Khosla, Mei-Tai Chu, K. G. Yamada, K. Kuneida, S. Oga:
  Innovative embodiment of job interview in emotionally aware communication robot. 1546-1552
  
• Corneliu T. C. Arsene, Paulo J. G. Lisboa:
  PLANN-CR-ARD model predictions and Non-parametric estimates with Confidence Intervals. 1553-1561
  
• Norbert Tsopzé, Engelbert Mephu Nguifo, Gilbert Tindo:
  Towards a generalization of decompositional approach of rule extraction from multilayer artificial neural network. 1562-1569
  
• Keiji Tatsumi, Masato Tai, Tetsuzo Tanino:
  Nonlinear extension of multiobjective multiclass support vector machine based on the one-against-all method. 1570-1576
  
• Juri Belikov, Eduard Petlenkov:
  Neuro-fuzzy dynamic pole placement control of nonlinear discrete-time systems. 1577-1582
  
• Vaibhav Gandhi, Vipul Arora, Laxmidhar Behera, Girijesh Prasad, Damien Coyle, T. Martin McGinnity:
  EEG denoising with a recurrent quantum neural network for a brain-computer interface. 1583-1590
  
• KongFatt Wong-Lin, Girijesh Prasad, T. Martin McGinnity:
  A spiking neuronal network model of the dorsal raphe nucleus. 1591-1598
  
• Leandro F. Cupertino, Omar Paranaiba Vilela Neto, Marco Aurélio Cavalcanti Pacheco, Marley B. R. Vellasco, Jose Roberto d'Almeida:
  Modeling the young modulus of nanocomposites: A neural network approach. 1599-1605
  
• Ken Saito, Kazuto Okazaki, Kentaro Sakata, Tatsuya Ogiwara, Yoshifumi Sekine, Fumio Uchikoba:
  Pulse-Type Hardware Inhibitory Neural Networks for MEMS micro robot using CMOS technology. 1606-1611
  
• Bruno J. T. Fernandes, George D. C. Cavalcanti, Tsang Ing Ren:
  Autoassociative Pyramidal Neural Network for face verification. 1612-1617
  
• Gavin C. Cawley, Steven Hayward, Gareth J. Janacek, Geoff R. Moore:
  Sparse Bayesian prediction of disordered residues and disordered regions based on amino-acid composition. 1618-1623
  
• Esteban J. Palomo, Enrique Domínguez:
  Image compression based on growing hierarchical Self-Organizing Maps. 1624-1628
  
• Jean-Charles Quinton, Bernard Girau:
  Predictive neural fields for improved tracking and attentional properties. 1629-1636
  
• Si-Yao Fu, Guosheng Yang, Zeng-Guang Hou:
  Spiking neural networks based cortex like mechanism: A case study for facial expression recognition. 1637-1642
  
• Takayuki Kimura, Tohru Ikeguchi:
  Chaotic routing strategy with load-balanced effects for communication networks. 1643-1650
  
• Davide Bacciu, Alessio Micheli, Alessandro Sperduti:
  Adaptive tree kernel by multinomial generative topographic mapping. 1651-1658
  
• Kazuhito Sato, Hirokazu Madokoro, Toshimitsu Otani, Sakura Kadowaki:
  Experimental studies with a hybrid model of unsupervised neural networks. 1659-1666
  
• Robinson E. Pino, Michael J. Moore, Jason Rogers, Qing Wu:
  A columnar V1/V2 visual cortex model and emulation using a PS3 cell-BE array. 1667-1674
  
• Cesare Alippi, Giacomo Boracchi, Manuel Roveri:
  An effective just-in-time adaptive classifier for gradual concept drifts. 1675-1682
  
• Bruno Apolloni, Simone Bassis, Lorenzo Valerio:
  Training a network of mobile neurons. 1683-1691
  
• Nam H. Nguyen, Martin Hagan:
  Stability analysis of layered digital dynamic networks using dissipativity theory. 1692-1699
  
• Yili Xia, Scott C. Douglas, Danilo P. Mandic:
  Widely linear adaptive frequency estimation in three-phase power systems under unbalanced voltage sag conditions. 1700-1705
  
• Kristina Vassiljeva, Juri Belikov, Eduard Petlenkov:
  Neural networks based minimal or reduced model representation for control of nonlinear MIMO systems. 1706-1713
  
• Qinru Qiu, Qing Wu, Richard W. Linderman:
  Unified perception-prediction model for context aware text recognition on a heterogeneous many-core platform. 1714-1721
  
• Talitha Rubio, Tiantian Zhang, Michael Georgiopoulos, Assem Kaylani:
  Multi-objective evolutionary optimization of exemplar-based classifiers: A PNN test case. 1722-1731
  
• Manuel Martín-Merino:
  A semi-supervised clustering algorithm that integrates heterogeneous dissimilarities and data sources. 1732-1739
  
• Esteban J. Palomo, John North, David A. Elizondo, Rafael Marcos Luque, Tim Watson:
  Visualisation of network forensics traffic data with a self-organising map for qualitative features. 1740-1747
  
• Jean-Christophe Sarrazin, Vanessa González, Bruno Berberian, Arnaud Tonnelier:
  The temporality of consciousness: Computational principles of a single information integration-propagation process (I2P2). 1748-1752
  
• Martin Peniak, Anthony F. Morse, Christopher Larcombe, Salomon Ramirez-Contla, Angelo Cangelosi:
  Aquila: An open-source GPU-accelerated toolkit for cognitive and neuro-robotics research. 1753-1760
  
• Daniel M. Riley, Ganesh K. Venayagamoorthy:
  Characterization and modeling of a grid-connected photovoltaic system using a Recurrent Neural Network. 1761-1766
  
• Jose Hugo Barron-Zambrano, Cesar Torres-Huitzil:
  Two-phase GA parameter tunning method of CPGs for quadruped gaits. 1767-1774
  
• Damien Querlioz, Olivier Bichler, Christian Gamrat:
  Simulation of a memristor-based spiking neural network immune to device variations. 1775-1781
  
• Kelly J. Gurubel, Edgar N. Sanchez, Salvador Carlos-Hernandez:
  Dynamic learning rate (ηD) for recurrent high order neural observer (RHONO): Anaerobic process application. 1782-1787
  
• Oana Geman, Cornel Turcu:
  Partitioning methods used in DBS treatments analysis results. 1788-1793
  
• Amirhosein Shantia, Eric Begue, Marco Wiering:
  Connectionist reinforcement learning for intelligent unit micro management in StarCraft. 1794-1801
  
• Cameron Johnson, Sinchan Roychowdhury, Ganesh Kumar Venayagamoorthy:
  A reversibility analysis of encoding methods for spiking neural networks. 1802-1809
  
• Sergio Davies, Alexander D. Rast, Francesco Galluppi, Steve Furber:
  A forecast-based biologically-plausible STDP learning rule. 1810-1817
  
• Yuxin Ding, Di Zhou, Min Xiao, Li Dong:
  Learning to rank relational objects based on the listwise approach. 1818-1824
  
• Arvind Narayanan, Elaine Shi, Benjamin I. P. Rubinstein:
  Link prediction by de-anonymization: How We Won the Kaggle Social Network Challenge. 1825-1834
  
• Daniel de Araújo, Adrião Duarte Dória Neto, Allan de Medeiros Martins, Jorge Dantas de Melo:
  Comparative study on dimension reduction techniques for cluster analysis of microarray data. 1835-1842
  
• Riemann Ruiz, Edgar N. Sanchez, Alexander G. Loukianov:
  Discrete-time neural block control for a doubly fed induction generator. 1843-1848
  
• Rocco Langone, Carlos Alzate, Johan A. K. Suykens:
  Modularity-based model selection for kernel spectral clustering. 1849-1856
  
• Riccardo Taormina, Luca Mesin, Fiammetta Orione, Eros Pasero:
  Forecasting tropospheric ozone concentrations with adaptive neural networks. 1857-1863
  
• Julio J. Valdés, Catherine Cheung, Weichao Wang:
  Computational intelligence methods for helicopter loads estimation. 1864-1871
  
• Yuhua Zheng, Yan Meng:
  A Hybrid system with what-where-memory for multi-object recognition. 1872-1879
  
• Matthew Conforth, Yan Meng:
  Self-reorganizing knowledge representation for autonomous learning in social agents. 1880-1887
  
• Rocio Carrasco, Edgar N. Sanchez, Salvador Carlos-Hernandez:
  Neural network identification for biomass gasification kinetic model. 1888-1893
  
• Matthew Conforth, Yan Meng:
  CHARISMA: A Context Hierarchy-based cognitive architecture for self-motivated social agents. 1894-1901
  
• Paolo Arena, Luca Patané, Pietro Savio Termini:
  An insect brain inspired neural model for object representation and expectation. 1902-1909
  
• Arslan Shaukat, Ke Chen:
  Emotional state recognition from speech via soft-competition on different acoustic representations. 1910-1917
  
• Dan C. Ciresan, Ueli Meier, Jonathan Masci, Jürgen Schmidhuber:
  A committee of neural networks for traffic sign classification. 1918-1921
  
• Vamsi K. Potluru, Sergey M. Plis, Shuang Luan, Vince D. Calhoun, Thomas P. Hayes:
  Sparseness and a reduction from Totally Nonnegative Least Squares to SVM. 1922-1929
  
• B. S. Mahanand, Sundaram Suresh, Narasimhan Sundararajan, M. Aswatha Kumar:
  Alzheimer's disease detection using a Self-adaptive Resource Allocation Network classifier. 1930-1934
  
• Tatiana Tambouratzis:
  Identification of key music symbols for optical music recognition and on-screen presentation. 1935-1942
  
• Carlos Affonso, Renato Jose Sassi, Ricardo P. Ferreira:
  Traffic flow breakdown prediction using feature reduction through Rough-Neuro Fuzzy Networks. 1943-1947
  
• Jacques M. Bahi, Nathalie Côté, Christophe Guyeux:
  Chaos of protein folding. 1948-1954
  
• Kypros H. Nikolaides, Kleanthis C. Neokleous, Christos Schizas, Costas Neocleous:
  Artificial neural networks to investigate the significance of PAPPA and b-hCG for the prediction of chromosomal abnormalities. 1955-1958
  
• Michael Gashler, Tony R. Martinez:
  Temporal nonlinear dimensionality reduction. 1959-1966
  
• Alexander D. Rast, Francesco Galluppi, Sergio Davies, Luis A. Plana, Thomas Sharp, Steve Furber:
  An event-driven model for the SpiNNaker virtual synaptic channel. 1967-1974
  
• Helmut A. Mayer:
  Evolution of robotic neurocontrollers with intrinsic noise and their behavior in noisy environments. 1975-1980
  
• Julie A. Wall, T. Martin McGinnity, Liam P. Maguire:
  A comparison of sound localisation techniques using cross-correlation and spiking neural networks for mobile robotics. 1981-1987
  
• Fania Mokhayeri, M.-R. Akbarzadeh-T:
  A novel facial feature extraction method based on ICM network for affective recognition. 1988-1993
  
• Rakesh Chalasani, Jose C. Principe:
  Sparse analog associative memory via L1-regularization and thresholding. 1994-1999
  
• Ronaldo R. B. de Aquino, Aida A. Ferreira, Milde M. S. Lira, Otoni Nóbrega Neto, Priscila S. Amorim, Carlos F. D. Diniz, Tatiana M. A. de Silveira:
  Short-term load forecasting for electrical regional of a distribution utility considering temperature. 2000-2004
  
• Guilherme V. Carvalho, Lailson B. Moraes, George D. C. Cavalcanti, Ing Ren Tsang:
  A weighted image reconstruction based on PCA for pedestrian detection. 2005-2011
  
• Songlin Zhao, Badong Chen, Jose C. Principe:
  Kernel adaptive filtering with maximum correntropy criterion. 2012-2017
  
• Alma Y. Alanis, Edgar N. Sanchez, Eduardo Ruiz-Velázquez, Blanca S. Leon:
  Neural model of blood glucose level for Type 1 Diabetes Mellitus Patients. 2018-2023
  
• Udhay Ravishankar, Milos Manic:
  A hardware suitable Integrated Neural System for Autonomous Vehicles - Road Structuring and Path Tracking. 2024-2030
  
• Todd K. Leen, Robert Friel:
  Perturbation theory for stochastic learning dynamics. 2031-2038
  
• Jose Lima Alexandrino, Cleber Zanchettin, Edson Costa de Barros Carvalho Filho:
  Evolving Clonal Adaptive Resonance Theory based on ECOS theory. 2039-2046
  
• Shogo Okada, Toyoaki Nishida:
  Online incremental clustering with distance metric learning for high dimensional data. 2047-2054
  
• Bernardete Ribeiro, Ning Chen:
  Graph weighted subspace learning models in bankruptcy. 2055-2061
  
• Timothy L. Andersen:
  Proving the efficacy of complementary inputs for multilayer neural networks. 2062-2066
  
• Boyu Wang, Feng Wan, Peng Un Mak, Pui-In Mak, Mang I Vai:
  Entropy penalized learning for Gaussian mixture models. 2067-2073
  
• Robyn Vandermeulen, Laurence Morissette, Sylvain Chartier:
  Modeling prosopagnosia using dynamic artificial neural networks. 2074-2079
  
• Garrett S. Rose, Robinson E. Pino, Qing Wu:
  A low-power memristive neuromorphic circuit utilizing a global/local training mechanism. 2080-2086
  
• Derrik E. Asher, Andrew Zaldivar, Brian Barton, Alyssa A. Brewer, Jeffrey L. Krichmar:
  The effects of neuromodulation on human-robot interaction in games of conflict and cooperation. 2087
  
• Jordan M. Malof, Adam E. Gaweda:
  Optimizing drug therapy with Reinforcement Learning: The case of Anemia Management. 2088-2092
  
• Shen Xu, Ruoqian Liu, Dai Li, Yi Lu Murphey:
  A hybrid system ensemble based time series signal classification on driver alertness detection. 2093-2099
  
• Craig M. Vineyard, Stephen J. Verzi, Michael L. Bernard, Shawn E. Taylor, Wendy L. Shaneyfelt, Irene Dubicka, Jonathan T. McClain, Thomas P. Caudell:
  A neurophysiologically inspired hippocampus based associative-ART Artificial neural network architecture. 2100-2105
  
• Ahmed A. Othman, Hamid R. Tizhoosh:
  Neural image thresholding with SIFT-Controlled gabor features. 2106-2112
  
• Sven Nõmm, Ülle Kotta:
  Comparison of neural networks-based ANARX and NARX models by application of correlation tests. 2113-2118
  
• Chiman Wong, Boyu Wang, Feng Wan, Peng Un Mak, Pui-In Mak, Mang I Vai:
  A Solution to harmonic frequency problem: Frequency and phase coding-based brain-computer interface. 2119-2126
  
• Guénaël Cabanes, Younès Bennani:
  Coupling clustering and visualization for knowledge discovery from data. 2127-2134
  
• Thomas P. Caudell, Cheir T. Burch, Mustafa Zengin, Nathan Gauntt, Michael J. Healy:
  Retrospective learning of spatial invariants during object classification by embodied autonomous neural agents. 2135-2142
  
• Iveta Mrázová, Zuzana Reitermanová:
  A new sensitivity-based pruning technique for feed-forward neural networks that improves generalization. 2143-2150
  
• Fatin Zaklouta, Bogdan Stanciulescu, Omar Hamdoun:
  Traffic sign classification using K-d trees and Random Forests. 2151-2155
  
• ZhiHang Chen, Shiqi Qiu, M. Abul Masrur, Yi Lu Murphey:
  Battery state of charge estimation based on a combined model of Extended Kalman Filter and neural networks. 2156-2163
  
• Roberto Antonio Vázquez, Bernard Girau, Jean-Charles Quinton:
  Visual attention using spiking neural maps. 2164-2171
  
• Nian Zhang, Shuhua Lai:
  Water quantity prediction based on particle swarm optimization and evolutionary algorithm using recurrent neural networks. 2172-2176
  
• Mary Malliaris, Maria Pappas:
  Hospital foundation actions: Neural network model variable importance. 2177-2183
  
• Nan Zhao, Washington Mio, Xiuwen Liu:
  A hybrid PCA-LDA model for dimension reduction. 2184-2190
  
• Andrés F. Serna-Morales, Flavio Prieto, Eduardo Bayro-Corrochano, Edgar N. Sanchez:
  3D modeling of virtualized reality objects using neural computing. 2191-2198
  
• Alessandro G. Di Nuovo, Davide Marocco, Santo Di Nuovo, Angelo Cangelosi:
  A Neural Network model for spatial mental imagery investigation: A study with the humanoid robot platform iCub. 2199-2204
  
• Oresti Baños, Miguel Damas, Héctor Pomares, Ignacio Rojas:
  Recognition of human physical activity based on a novel hierarchical weighted classification scheme. 2205-2209
  
• Fabio Boi, Lorenzo Gagliardini:
  A Support Vector Machines network for traffic sign recognition. 2210-2216
  
• Olivier F. Manette:
  Local learning rules for spiking neurons with dendrite. 2217-2221
  
• Manuel Gámez, Edgar N. Sanchez, Luis J. Ricalde:
  Optimal operation via a recurrent neural network of a wind-solar energy system. 2222-2228
  
• Marta Ruiz-Llata, Guillermo Guarnizo, Carlos Boya:
  Embedded power quality monitoring system based on Independent Component Analysis and SVMs. 2229-2234
  
• Diego Silveira Costa Nascimento, Anne Magaly de Paula Canuto, Ligia Maria Moura e Silva, André Luís Vasconcelos Coelho:
  Combining different ways to generate diversity in bagging models: An evolutionary approach. 2235-2242
  
• Savitha Ramasamy, Suresh Sundaram, Ramaswamy Savitha:
  A Fast Learning Complex-valued Neural Classifier for real-valued classification problems. 2243-2249
  
• Ali Yousefi, Alireza A. Dibazar, Theodore W. Berger:
  Supervised learning in a single layer Dynamic Synapses Neural Network. 2250-2257
  
• Yoonsuck Choe, David Mayerich, Jaerock Kwon, Daniel Miller, Ji Ryang Chung, Chul Sung, John Keyser, Louise Abbott:
  Knife-edge scanning microscopy for connectomics research. 2258-2265
  
• Chao Qu, Bertram E. Shi:
  The role of orientation diversity in binocular vergence control. 2266-2272
  
• Fatma Hamdi, Younès Bennani:
  Learning random subspace novelty detection filters. 2273-2280
  
• Hially Rodrigues de Sa, Ricardo Bastos Cavalcante Prudêncio:
  Supervised link prediction in weighted networks. 2281-2288
  
• Fernando Corinto, Alon Ascoli, Marco Gilli:
  Class of all i-v dynamics for memristive elements in pattern recognition systems. 2289-2296
  
• Luciano D. S. Pacifico, Francisco de A. T. de Carvalho:
  A batch self-organizing maps algorithm based on adaptive distances. 2297-2304
  
• Manda Winlaw, Leila Samimi Dehkordy, Ali Ghodsi:
  Robust locally linear embedding using penalty functions. 2305-2312
  
• Qiao Cai, Haibo He, Hong Man:
  Hybrid learning based on Multiple Self-Organizing Maps and Genetic Algorithm. 2313-2320
  
• Trung Le, Dat Tran, Phuoc Nguyen, Wanli Ma, Dharmendra Sharma:
  Multiple distribution data description learning method for novelty detection. 2321-2326
  
• Helton Maia Peixoto, Anthony A. R. Diniz, Nathalee C. Almeida, Jorge Dantas de Melo, Ana Maria G. Guerreiro, Adrião Duarte Dória Neto:
  Modeling a system for monitoring an object using artificial neural networks and reinforcement learning. 2327-2332
  
• Zhen Ni, Haibo He, Danil V. Prokhorov, Jian Fu:
  An online actor-critic learning approach with Levenberg-Marquardt algorithm. 2333-2340
  
• Jun Miao, Lijuan Duan, Laiyun Qing, Yuanhua Qiao:
  An improved neural architecture for gaze movement control in target searching. 2341-2348
  
• Carlos Alzate, Johan A. K. Suykens:
  Out-of-sample eigenvectors in kernel spectral clustering. 2349-2356
  
• Derek Harter:
  Functional and physical constraints for evolving small-world structure in embodied networks. 2357-2362
  
• Armando A. Gonçalves, Igor Alencar, Ing Ren Tsang, George D. C. Cavalcanti:
  GA-PAT-KNN: Framework for time series forecasting. 2363-2367
  
• Leandro Augusto da Silva, Emílio Del Moral Hernandez:
  A SOM combined with KNN for classification task. 2368-2373
  
• Hyung-Ook Park, Alireza A. Dibazar, Theodore W. Berger:
  Discrete Synapse Recurrent Neural Network with time-varying delays for nonlinear system modeling and its application on seismic signal classification. 2374-2381
  
• Bao Liu, Junhong Wang, Huachao Qu:
  A novel neural network inspired from Neuroendocrine-Immune System. 2382-2386
  
• Francesco Carlo Morabito, Matteo Cacciola, Gianluigi Occhiuto:
  Creative brain and abstract art: A quantitative study on Kandinskij paintings. 2387-2394
  
• Debbie Hernandez, Wen Yu, Marco A. Moreno-Armendariz:
  Neural PD control with second-order sliding mode compensation for robot manipulators. 2395-2402
  
• Fernando Corinto, Alon Ascoli, Valentina Lanza, Marco Gilli:
  Memristor synaptic dynamics' influence on synchronous behavior of two Hindmarsh-Rose neurons. 2403-2408
  
• Cristiano de Santana Pereira, George D. C. Cavalcanti:
  Instance selection algorithm based on a Ranking Procedure. 2409-2416
  
• Isao Hayashi, Megumi Kiyotoki, Ai Kiyohara, Minori Tokuda, Suguru N. Kudoh:
  Fuzzy bio-interface: Indicating logicality from living neuronal network and learning control of bio-robot. 2417-2423
  
• Heiko Hoffmann, Michael D. Howard, Michael J. Daily:
  Fast pattern matching with time-delay neural networks. 2424-2429
  
• Shenglan Ben, Zhong Jin, Jingyu Yang:
  Guided fuzzy clustering with multi-prototypes. 2430-2436
  
• Gustavo H. T. Ribeiro, Paulo S. G. de Mattos Neto, George D. C. Cavalcanti, Ing Ren Tsang:
  Lag selection for time series forecasting using Particle Swarm Optimization. 2437-2444
  
• Pedro Henrique Gouvea Coelho, Luiz Biondi Neto:
  Preliminary studies on parameter aided EKF-CRTRL equalizer training for fast fading channels. 2445-2449
  
• Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira, George D. C. Cavalcanti:
  A simulation environment for volatility analysis of developed and in development markets. 2450-2456
  
• Heike Sichtig, Alberto Riva:
  An innovative Positional Pattern Detection tool applied to GAL4 Binding Sites in yeast. 2457-2464
  
• Shingo Nakamura, Shuji Hashimoto:
  Application of hybrid learning strategy for manipulator robot. 2465-2470
  
• Dumidu Wijayasekara, Ondrej Linda, Milos Manic:
  CAVE-SOM: Immersive visual data mining using 3D Self-Organizing Maps. 2471-2478
  
• Fahad Moiz, Prasad Natoo, Reza Derakhshani, Walter D. Leon-Salas:
  A comparative study of classification methods for gesture recognition using a 3-axis accelerometer. 2479-2486
  
• Yang Mu, Wei Ding, Dacheng Tao, Tomasz F. Stepinski:
  Biologically inspired model for crater detection. 2487-2494
  
• Noel Lopes, Bernardete Ribeiro:
  A fast optimized semi-supervised non-negative Matrix Factorization algorithm. 2495-2500
  
• Hasan Bagher-Ebadian, Siamak P. Nejad-Davarani, Meser M. Ali, Stephen Brown, Malek Makki, Quan Jiang, Douglas C. Noll, James R. Ewing:
  Magnetic resonance imaging estimation of longitudinal relaxation rate change (ΔR1) in dual gradient echo sequences using an adaptive model. 2501-2506
  
• Sundaram Suresh, Kartick Subramanian:
  A sequential learning algorithm for meta-cognitive neuro-fuzzy inference system for classification problems. 2507-2512
  
• Jin-Song Pei, Joseph P. Wright, Sami F. Masri, Eric C. Mai, Andrew W. Smyth:
  Toward constructive methods for sigmoidal neural networks - function approximation in engineering mechanics applications. 2513-2519
  
• Shuo Chen, Chengjun Liu:
  A new efficient SVM and its application to real-time accurate eye localization. 2520-2527
  
• Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
  Kernel principal subspace Mahalanobis distances for outlier detection. 2528-2535
  
• Chihiro Ikuta, Yoko Uwate, Yoshifumi Nishio:
  Performance and features of Multi-Layer Perceptron with impulse glial network. 2536-2541
  
• Qing Song:
  Robust Jordan network for nonlinear time series prediction. 2542-2549
  
• Reza Jafari, Martin Hagan:
  Global stability analysis using the method of Reduction Of Dissipativity Domain. 2550-2556
  
• Hasan Bagher-Ebadian, Rajan Jain, Ramesh Paudyal, Siamak P. Nejad-Davarani, Jayant Narang, Quan Jiang, Tom Mikkelsen, James R. Ewing:
  Magnetic resonance estimation of longitudinal relaxation time (T1) in spoiled gradient echo using an adaptive neural network. 2557-2562
  
• Zlatko Vasilkoski, Heather Ames, Ben Chandler, Anatoli Gorchetchnikov, Jasmin Léveillé, Gennady Livitz, Ennio Mingolla, Massimiliano Versace:
  Review of stability properties of neural plasticity rules for implementation on memristive neuromorphic hardware. 2563-2569
  
• Yi-Ren Yeh, Yung-Yu Chung, Ting-Chu Lin, Yu-Chiang Frank Wang:
  Group lasso regularized multiple kernel learning for heterogeneous feature selection. 2570-2577
  
• Kittipat Kampa, Erion Hasanbelliu, Jose C. Principe:
  Closed-form cauchy-schwarz PDF divergence for mixture of Gaussians. 2578-2585
  
• Robert C. Green II, Lingfeng Wang, Mansoor Alam:
  Composite power system reliability evaluation using support vector machines on a multicore platform. 2586-2592
  
• Praveen Jesudhas, Michael T. Manry, Rohit Rawat, Sanjeev S. Malalur:
  Analysis and improvement of multiple optimal learning factors for feed-forward networks. 2593-2600
  
• Anatoli Gorchetchnikov, Massimiliano Versace, Heather Ames, Ben Chandler, Jasmin Léveillé, Gennady Livitz, Ennio Mingolla, Greg Snider, Rick Amerson, Dick Carter, Hisham Abdalla, Muhammad Shakeel Qureshi:
  Review and unification of learning framework in Cog Ex Machina platform for memristive neuromorphic hardware. 2601-2608
  
• Babu Hemanth Kumar Aswathappa, Michael T. Manry, Rohit Rawat:
  Optimal output gain algorithm for feed-forward network training. 2609-2616
  
• Michael Gashler, Tony R. Martinez:
  Tangent space guided intelligent neighbor finding. 2617-2624
  
• Sean W. Gordon, Napoleon H. Reyes, Andre L. C. Barczak:
  A Hybrid Fuzzy Q-learning algorithm for robot navigation. 2625-2631
  
• Zhiqiang Chen, Reza Derakhshani, Ceki Halmen, John T. Kevern:
  A texture-based method for classifying cracked concrete surfaces from digital images using neural networks. 2632-2637
  
• José Antonio Ruz Hernández, Maria U. Suarez-Duran, Ramon Garcia-Hernandez, Evgen Shelomov, Edgar N. Sanchez:
  Designing associative memories implemented via recurrent neural networks for pattern recognition. 2638-2644
  
• Sohan Seth, Austin J. Brockmeier, John Choi, Mulugeta Semework, Joseph Francis, José C. Príncipe:
  Evaluating dependence in spike train metric spaces. 2645-2652
  
• Haza Nuzly Abdull Hamed, Nikola Kasabov, Siti Mariyam Shamsuddin, Harya Widiputra, Kshitij Dhoble:
  An extended Evolving Spiking Neural Network model for spatio-temporal pattern classification. 2653-2656
  
• Kristine Monteith, James L. Carroll, Kevin D. Seppi, Tony R. Martinez:
  Turning Bayesian model averaging into Bayesian model combination. 2657-2663
  
• Icamaan B. Viegas da Silva, Paulo J. L. Adeodato:
  PCA and Gaussian noise in MLP neural network training improve generalization in problems with small and unbalanced data sets. 2664-2669
  
• Hiroaki Wagatsuma, Yousuke Tomonaga:
  Problems of temporal granularity in robot control: Levels of adaptation and a necessity of self-confidence. 2670-2675
  
• Chris Yakopcic, Tarek M. Taha, Guru Subramanyam, Stanley Rogers:
  Multiple memristor read and write circuit for neuromorphic applications. 2676-2682
  
• Sangwook Kim, Byunghun Hwang, Minho Lee:
  Gaze tracking based on pupil estimation using multilayer perception. 2683-2689
  
• Michael R. Smith, Tony R. Martinez:
  Improving classification accuracy by identifying and removing instances that should be misclassified. 2690-2697
  
• Weijie Chen, David G. Brown:
  Optimistic bias in the assessment of high dimensional classifiers with a limited dataset. 2698-2703
  
• Gabriel S. Vasconcelos, Carlos A. C. M. Bastos, Ing Ren Tsang, George D. C. Cavalcanti:
  BSOM network for pupil segmentation. 2704-2709
  
• Alok Kanti Deb, Alok Juyal:
  Adaptive neuro-fuzzy control of dynamical systems. 2710-2716
  
• Kenneth L. Rice, Tarek M. Taha, Khan M. Iftekharuddin, Keith Anderson, Teddy Salan:
  GPGPU acceleration of Cellular Simultaneous Recurrent Networks adapted for maze traversals. 2717-2724
  
• J. Carlos Luna-Sanchez, Eduardo Gómez-Ramírez, Kaddour Najim, Enso Ikonen:
  Forecasting time series with a logarithmic model for the Polynomial Artificial Neural Networks. 2725-2732
  
• Sepideh Seifzadeh, Mohammad Rostami, Ali Ghodsi, Fakhreddine Karray:
  Parameter selection for smoothing splines using Stein's Unbiased Risk Estimator. 2733-2740
  
• Gregory Ditzler, Robi Polikar:
  Semi-supervised learning in nonstationary environments. 2741-2748
  
• Elliott M. Forney, Charles W. Anderson:
  Classification of EEG during imagined mental tasks by forecasting with Elman Recurrent Neural Networks. 2749-2755
  
• Hakan Yasarer, Yacoub Najjar:
  Development of a mix-design based Rapid Chloride Permeability assessment model using neuronets. 2756-2760
  
• Giovanni Egidio Pazienza, Robert Kozma, Jordi Albo-Canals:
  Percolation in memristive networks. 2761-2763
  
• Chang Su Lee:
  A rough-fuzzy hybrid approach on a Neuro-Fuzzy classifier for high dimensional data. 2764-2769
  
• Hiroshi Ninomiya:
  Parameterized online quasi-Newton training for high-nonlinearity function approximation using multilayer neural networks. 2770-2777
  
• Sejun Kim, Donald C. Wunsch II:
  A GPU based Parallel Hierarchical Fuzzy ART clustering. 2778-2782
  
• Mingxuan Wang, Clive Cheong Took, Danilo P. Mandic:
  A class of fast quaternion valued variable stepsize stochastic gradient learning algorithms for vector sensor processes. 2783-2786
  
• Ramon Garcia-Hernandez, Edgar N. Sanchez, Víctor Santibáñez, José Antonio Ruz Hernández:
  Decentralized neural block control for an industrial PA10-7CE robot arm. 2787-2794
  
• Xiaoying Song, Wenqiang Zhang, Juyang Weng:
  Where-What Network 5: Dealing with scales for objects in complex backgrounds. 2795-2802
  
• R. Venkatesh Babu, Sundaram Suresh:
  Fully complex-valued ELM classifiers for human action recognition. 2803-2808
  
• Pierre Sermanet, Yann LeCun:
  Traffic sign recognition with multi-scale Convolutional Networks. 2809-2813
  
• Faicel Chamroukhi, Allou Samé, Patrice Aknin, Gérard Govaert:
  Model-based clustering with Hidden Markov Model regression for time series with regime changes. 2814-2821
  
• Yuekai Wang, Xiaofeng Wu, Juyang Weng:
  Synapse maintenance in the Where-What Networks. 2822-2829
  
• Sho Shimomura, Haruna Matsushita, Yoshifumi Nishio:
  Ant Colony Optimization Changing the Rate of Dull Ants and its application to QAP. 2830-2835
  
• Malte Schilling:
  Integrating multi-sensory input in the body model - A RNN approach to connect visual features and motor control. 2836-2843
  
• Zhengping Ji, Wentao Huang, Garrett T. Kenyon, Luís M. A. Bettencourt:
  Hierarchical discriminative sparse coding via bidirectional connections. 2844-2851
  
• Nikolaos Kourentzes, Sven F. Crone:
  Semi-supervised monitoring of electric load time series for unusual patterns. 2852-2859
  
• Toshihiko Shimizu, Ryo Saegusa, Shuhei Ikemoto, Hiroshi Ishiguro, Giorgio Metta:
  Adaptive self-protective motion based on reflex control. 2860-2864
  
• Ryo Saegusa, Lorenzo Natale, Giorgio Metta, Giulio Sandini:
  Active perception for action mirroring. 2865-2872
  
• Michael Baskara L. A. Siek, Dimitri P. Solomatine:
  Nonlinear multi-model ensemble prediction using dynamic Neural Network with incremental learning. 2873-2880
  
• Takaomi Tokumoto, Seiichi Ozawa:
  A fast incremental Kernel Principal Component Analysis for learning stream of data chunks. 2881-2888
  
• Cesare Alippi, Giacomo Boracchi, Manuel Roveri:
  A hierarchical, nonparametric, sequential change-detection test. 2889-2896
  
• Thomas Krüger, Philipp Schnetter, Robin Placzek, Peter Voersmann:
  Nonlinear adaptive flight control using sliding mode online learning. 2897-2904
  
• Ludmilla Werbos, Robert Kozma, Rodrigo Silva-Lugo, Giovanni Egidio Pazienza, Paul J. Werbos:
  Metamodeling for large-scale optimization tasks based on object networks. 2905-2910
  
• Chunyu Liu, Young-Min Jang, Seiichi Ozawa, Minho Lee:
  Incremental 2-directional 2-dimensional linear discriminant analysis for multitask pattern recognition. 2911-2916
  
• James C. Daly, Jacob D. Brown, Juyang Weng:
  Neuromorphic motivated systems. 2917-2924
  
• Xianxue Fan, Jorge Igual, Raul Llinares, Addisson Salazar, Gang Wu:
  Blind signal separation in distributed space-time coding systems using the FastICA algorithm. 2925-2929
  
• Rodrigo L. S. de Arruda, Fernando J. Von Zuben:
  A neural architecture to address Reinforcement Learning problems. 2930-2935
  
• Yasuki Hirai, Masahiro Kikuchi, Hiroaki Kurokawa:
  Inferring method of the gene regulatory networks using neural networks adopting a majority rule. 2936-2943
  
• Gennady Livitz, Heather Ames, Ben Chandler, Anatoli Gorchetchnikov, Jasmin Léveillé, Zlatko Vasilkoski, Massimiliano Versace, Ennio Mingolla, Greg Snider, Rick Amerson, Dick Carter, Hisham Abdalla, Muhammad Shakeel Qureshi:
  Visually-guided adaptive robot (ViGuAR). 2944-2951
  
• Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
  Accelerated learning of Generalized Sammon Mappings. 2952-2960
  
• Kiran V. Byadarhaly, Mithun Perdoor, Ali A. Minai:
  Synergistic organization of action: A computational model. 2961-2968
  
• Ammar Mohemmed, Satoshi Matsuda, Stefan Schliebs, Kshitij Dhoble, Nikola Kasabov:
  Optimization of Spiking Neural Networks with dynamic synapses for spike sequence generation using PSO. 2969-2974
  
• Laxmi R. Iyer, Ali A. Minai:
  A neurodynamical model of context-dependent category learning. 2975-2982
  
• Juyang Weng:
  Three theorems: Brain-like networks logically reason and optimally generalize. 2983-2990
  
• Jungme Park, Dai Li, Yi Lu Murphey, Johannes Kristinsson, Ryan McGee, Ming Kuang, Tony Phillips:
  Real time vehicle speed prediction using a Neural Network Traffic Model. 2991-2996
  
• Ashish Tawari, Mohan M. Trivedi:
  Audio visual cues in driver affect characterization: Issues and challenges in developing robust approaches. 2997-3002
  
• Juan Jose Cordova, Wen Yu:
  Optimization of fixed Wavelet Neural Networks. 3003-3007
  
• Goren Gordon, Ehud Ahissar:
  Reinforcement active learning hierarchical loops. 3008-3015
  
• Stephen Paslaski, Courtland VanDam, Juyang Weng:
  Modeling dopamine and serotonin systems in a visual recognition network. 3016-3023
  
• Péter Érdi, Mihály Bányai, Vaibhav A. Diwadkar, Balázs Ujfalussy:
  The schizophrenic brain: A broken hermeneutic circle. Some new insights and results. 3024-3027
  
• Naveed Iqbal, Georgios C. Anagnostopoulos:
  Multinomial Squared Direction Cosines Regression. 3028-3035
  
• Sayed Yousef Monir Vaghefi, Sayed Mahmoud Monir Vaghefi:
  A novel multilayer neural network model for heat treatment of electroless Ni-P coatings. 3036-3041
  
• Cory E. Merkel, Nakul Nagpal, Sindhura Mandalapu, Dhireesha Kudithipudi:
  Reconfigurable N-level memristor memory design. 3042-3048
  
• Usman Ali Malik, Syed Usman Ahmed, Faraz Kunwar:
  A self-organizing neural scheme for road detection in varied environments. 3049-3054
  
• João C. Xavier Junior, Anne M. P. Canuto, Alex Alves Freitas, Luiz M. G. Gonçalves, Carlos Nascimento Silla Jr.:
  A hierarchical approach to represent relational data applied to clustering tasks. 3055-3062
  
• Supaporn Erjongmanee, Chuanyi Ji, James Momoh:
  Inferring cascading network-power disruptions and sustainability. 3063-3067
  
• Sarjoun Doumit, Ali Minai:
  Semantic knowledge inference from online news media using an LDA-NLP approach. 3068-3071
  
• Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Dipti Srinivasan:
  Optimizing the quality of bootstrap-based prediction intervals. 3072-3078
  
• Sayed Yousef Monir Vaghefi, Reza Monir Vaghefi:
  A novel multilayer neural network model for TOA-based localization in wireless sensor networks. 3079-3084
  
• Mark H. Myers, Robert Kozma:
  Modeling normal/epileptic brain dynamics with potential application in titration therapy. 3085-3092
  
• Dora Nakafuji, Thomas Aukai, Lisa Dangelmaier, Chris Reynolds, Jennifer Yoshimura, Ying Hu:
  "Back-to-basics": Operationalizing data mining and visualization techniques for utilities. 3093-3098
  
• Luciana G. Castanheira, João Antônio de Vasconcelos, Agnaldo J. Rocha Reis, Paulo H. V. Magalhaes, Savio A. Lopes da Silva:
  Application of neural networks in the classification of incipient faults in power transformers: A study of case. 3099-3104
  
• Osonde Osoba, Sanya Mitaim, Bart Kosko:
  Triply fuzzy function approximation for Bayesian inference. 3105-3111
  
• Jian Sun, Feng Liu, Jennie Si, Shengwei Mei:
  Direct heuristic dynamic programming with augmented states. 3112-3119
  
• Xun Cai, Kanishka Tyagi, Michael T. Manry:
  An optimal construction and training of second order RBF network for approximation and illumination invariant image segmentation. 3120-3126
  
• Nagendra Marupaka, Ali A. Minai:
  Connectivity and creativity in semantic neural networks. 3127-3133
  
• Moumen T. El-Melegy:
  Random sampler M-estimator algorithm for robust function approximation via feed-forward neural networks. 3134-3140
  
• Vassilis Cutsuridis, Bruce P. Graham, Stuart Cobb, Michael E. Hasselmo:
  Bio-inspired models of memory capacity, recall performance and theta phase precession in the hippocampus. 3141-3148
  
• John J. Wade, Liam McDaid, Jim Harkin, Vincenzo Crunelli, J. A. Scott Kelso, Valeriu Beiu:
  Exploring retrograde signaling via astrocytes as a mechanism for self repair. 3149-3155
  
• Stefan Schliebs, Ammar Mohemmed, Nikola Kasabov:
  Are probabilistic spiking neural networks suitable for reservoir computing? 3156-3163
  
• Dipti Srinivasan, Zhang Guofan, Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
  Hybrid neural-evolutionary model for electricity price forecasting. 3164-3169
  
• Sekou L. Remy:
  Exploring the relationship between degrees of self similarity and altered driving states. 3170-3177
  
• Osonde Osoba, Sanya Mitaim, Bart Kosko:
  Noise benefits in the expectation-maximization algorithm: Nem theorems and models. 3178-3183
  
• Mingchao Wang, Boyuan Yan, Jingzhen Hu, Peng Li:
  Simulation of large neuronal networks with biophysically accurate models on graphics processors. 3184-3193
  
• Yasuaki Kuroe, Hajimu Kawakami:
  Versatile neural network method for recovering shape from shading by model inclusive learning. 3194-3199
  
• Jérémie Cabessa, Hava T. Siegelmann:
  Evolving recurrent neural networks are super-Turing. 3200-3206
  
• Kumar Sanjeeva, Maithreye Rengaswamy, Neelima Gupte, V. Srinivasa Chakravarthy:
  Expanding the Go/NoGo depiction of the action of Basal Ganglia pathways. 3207-3212
  
• Sridhar R. Anumandla, Laurence C. Jayet Bray, Corey M. Thibeault, Roger V. Hoang, Sergiu M. Dascalu, Frederick C. Harris Jr., Philip H. Goodman:
  Modeling oxytocin induced neurorobotic trust and intent recognition in human-robot interaction. 3213-3219
  
• Andres E. Coca, Roseli A. F. Romero, Liang Zhao:
  Generation of composed musical structures through recurrent neural networks based on chaotic inspiration. 3220-3226
  
• Wlodzislaw Duch:
  Neurodynamics and the mind. 3227-3234
  
• Vishal Sharma, Dipti Srinivasan:
  Hybrid model incorporating multiple scale dynamics for time series forecasting. 3235-3242
  
• Chris Yakopcic, Tarek M. Taha, Guru Subramanyam, Robinson E. Pino, Stanley Rogers:
  Analysis of a memristor based 1T1M crossbar architecture. 3243-3247
  
• Rodrigo Calvo, Janderson de Oliveira, Mauricio Figueiredo, Roseli A. Francelin Romero:
  A distributed, bio-inspired coordination strategy for multiple agent systems applied to surveillance tasks in unknown environments. 3248-3255
  
• Moumen T. El-Melegy:
  RANSAC algorithm with sequential probability ratio test for robust training of feed-forward neural networks. 3256-3263
  
• Paul J. Werbos:
  Neural networks as a path to self-awareness. 3264-3271
  
• Kyle Ira Harrington, Megan M. Olsen, Hava T. Siegelmann:
  Communicated somatic markers benefit both the individual and the species. 3272-3278
  
• Sandra Ortega-Martorell, Alfredo Vellido, Paulo J. G. Lisboa, Margarida Julià-Sapé, Carles Arús:
  Spectral decomposition methods for the analysis of MRS information from human brain tumors. 3279-3284
  
• Sven F. Crone, Nikolaos Kourentzes:
  The impact of preprocessing on forecasting electrical load: An empirical evaluation of segmenting time series into subseries. 3285-3292
  
• Jonathan Hoyin Chan, Pitak Sootanan, Ponlavit Larpeampaisarl:
  Feature selection of pathway markers for microarray-based disease classification using negatively correlated feature sets. 3293-3299