Classification – Pattern Recognition.- Deep Bottleneck Classifiers in Supervised Dimension Reduction.- Local Modeling Classifier for Microarray Gene-Expression Data.- Learning of Lateral Connections for Representational Invariant Recognition.- Computational Properties of Probabilistic Neural Networks.- Local Minima of a Quadratic Binary Functional with a Quasi-Hebbian Connection Matrix.- A Learned Saliency Predictor for Dynamic Natural Scenes.- Learning a Combination of Heterogeneous Dissimilarities from Incomplete Knowledge.- A Bilinear Model for Consistent Topographic Representations.- Accelerating Large-Scale Convolutional Neural Networks with Parallel Graphics Multiprocessors.- Evaluation of Pooling Operations in Convolutional Architectures for Object Recognition.- Visual Shape Recognition Neural Network Using BESOM Model.- Comparing Feature Extraction Techniques and Classifiers in the Handwritten Letters Classification Problem.- The Parameter Optimization of the Pulse Coupled Neural Network for the Pattern Recognition.- The Use of Feed Forward Neural Network for Recognizing Characters of Dactyl Alphabet.- Detecting DDoS Attack towards DNS Server Using a Neural Network Classifier.- Classification Based on Multiple-Resolution Data View.- Identification of the Head-and-Shoulders Technical Analysis Pattern with Neural Networks.- Analyzing Classification Methods in Multi-label Tasks.- Learning Bimanual Coordination Patterns for Rhythmic Movements.- Classification of Voice Aging Using Parameters Extracted from the Glottal Signal.- Learning Algorithms and Systems.- TopoART: A Topology Learning Hierarchical ART Network.- Policy Gradients for Cryptanalysis.- Linear Projection Method Based on Information Theoretic Learning.- Continuous Visual Codebooks with a LimitedBranching Tree Growing Neural Gas.- An Efficient Collaborative Recommender System Based on k-Separability.- Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines.- Multitask Semi–supervised Learning with Constraints and Constraint Exceptions.- Tumble Tree – Reducing Complexity of the Growing Cells Approach.- Sentence Extraction by Graph Neural Networks.- Autonomous Generation of Internal Representations for Associative Learning.- Improving Accuracy of LVQ Algorithm by Instance Weighting.- Multifactor Expectation Maximization for Factor Graphs.- Weighted Learning Vector Quantization to Cost-Sensitive Learning.- Solution Space of Perceptron.- Natural Language Processing Neural Network for Recall and Inference.- Nominally Conditioned Linear Regression.- A Novel Continuous Dual Mode Neural Network in Stereo-Matching Process.- Learning Invariant Visual Shape Representations from Physics.- Algorithms Creating Algorithms.- Assessing Statistical Reliability of LiNGAM via Multiscale Bootstrap.- Learning with Convex Constraints.- Theoretical Analysis of Cross-Validation(CV)-EM Algorithm.- Application of BSP-Based Computational Cost Model to Predict Parallelization Efficiency of MLP Training Algorithm.- Dynamic Shape Learning and Forgetting.- On-Line Ensemble-Teacher Learning through a Perceptron Rule with a Margin.- Model of the Hippocampal Learning of Spatio-temporal Sequences.- Adding Nonlinear System Dynamics to Levenberg-Marquardt Algorithm for Neural Network Control.- Computational Intelligence.- Some Comparisons of Model Complexity in Linear and Neural-Network Approximation.- A Funny Proverb Generation System Based on Sukashi.- Supervised Neural Fuzzy Schemes in Video Transmission over Bluetooth.- A GraphBased Framework for Clustering and Characterization of SOM.- Clustering Using Elements of Information Theory.- A Path Planning Method for Human Tracking Agents Using Variable-Term Prediction.- Three-Layer Feedforward Structures Smoothly Approximating Polynomial Functions.- Neural Networks Training for Weapon Selection in First-Person Shooter Games.- Efficient Confidence Bounds for RBF Networks for Sparse and High Dimensional Data.- Large Scale Problem Solving with Neural Networks: The Netflix Prize Case.- A Cooperative and Penalized Competitive Learning Approach to Gaussian Mixture Clustering.- A Inference Mechanism for Polymer Processing Using Rough-Neuro Fuzzy Network.- IEM3 Workshop.- Data Mining Methods for Quality Assurance in an Environmental Monitoring Network.- Predicting QoL Parameters for the Atmospheric Environment in Athens, Greece.- Investigating Pollen Data with the Aid of Fuzzy Methods.- A New Neural Model for Traffic Simulation.- System Architecture for a Smart University Building.- Monitoring and Assessment of Environmental Impact by Persistent Organic Pollutants.- A Feature Selection Method for Air Quality Forecasting.- CVA Workshop.- How Do Attention, Intention, and Consciousness Interact?.- Consciousness versus Attention.- On the Fringe of Awareness: The Glance-Look Model of Attention-Emotion Interactions.- No Stopping and No Slowing: Removing Visual Attention with No Effect on Reversals of Phenomenal Appearance.- Modelling Neurotic Psychopathology: Memory, Attention and Symbolization.- SOINN Workshop.- How to Use the SOINN Software: User’s Guide (Version 1.0).- Unguided Robot Navigation Using Continuous Action Space.- Self-Organizing Incremental Neural Network and Its Application.- Machine Learning Approaches for Time-Series Data Based onSelf-Organizing Incremental Neural Network.- Online Knowledge Acquisition and General Problem Solving in a Real World by Humanoid Robots.- Incremental Learning Using Self-Organizing Neural Grove.- Fast and Incremental Attribute Transferring and Classifying System for Detecting Unseen Object Classes.