Artificial Neural Networks - ICANN 2010

ANN Applications.- IF-Inference Systems Design for Prediction of Ozone Time Series: The Case of Pardubice Micro-region.- Superior-Order Curvature-Corrected Voltage Reference Using a Current Generator.- A Neural Network-Based Method for Affine 3D Registration of FMRI Time Series Using Fourier Space Subsets.- Neural Networks Regression Inductive Conformal Predictor and Its Application to Total Electron Content Prediction.- Prediction of Compaction Characteristics of Granular Soils by Neural Networks.- Modelling Power Output at Nuclear Power Plant by Neural Networks.- Time Series Forecasting by Evolving Artificial Neural Networks Using “Shuffle”, Cross-Validation and Ensembles.- Prediction of Power Consumption for Small Power Region Using Indexing Approach and Neural Network.- Fault Prognosis of Mechanical Components Using On-Line Learning Neural Networks.- Bayesian ANN.- Discovery of Exogenous Variables in Data with More Variables Than Observations.- Bayesian Joint Optimization for Topic Model and Clustering.- An Incremental Bayesian Approach for Training Multilayer Perceptrons.- Application of Semi-Bayesian Neural Networks in the Identification of Load Causing Beam Yielding.- Globally Optimal Structure Learning of Bayesian Networks from Data.- Bio Inspired – Spiking ANN.- Action Potential Bursts Modulate the NMDA-R Mediated Spike Timing Dependent Plasticity in a Biophysical Model.- Cell Microscopic Segmentation with Spiking Neuron Networks.- Investigation of Brain-Computer Interfaces That Apply Sound-Evoked Event-Related Potentials.- Functional Connectivity Driven by External Stimuli in a Network of Hierarchically Organized Neural Modules.- Transmission of Distributed Deterministic Temporal Information through a Diverging/Converging Three-Layers Neural Network.- Noise-Induced Collective Migration for Neural Crest Cells.- Unsupervised Learning of Relations.- Learning Internal Representation of Visual Context in a Neural Coding Network.- Simulating Biological-Inspired Spiking Neural Networks with OpenCL.- Bio-inspired Architecture for Human Detection.- Multilayer and Multipathway Simulation on Retina.- Analysis of Astrophysical Ice Analogs Using Regularized Alternating Least Squares.- A BCI System Based on Orthogonalized EEG Data and Multiple Multilayer Neural Networks in Parallel Form.- Using an Artificial Neural Network to Determine Electrical Properties of Epithelia.- Machine Learning and Personalized Modeling Based Gene Selection for Acute GvHD Gene Expression Data Analysis.- Supervised Associative Learning in Spiking Neural Network.- Biomedical ANN.- Dynamics and Function of a CA1 Model of the Hippocampus during Theta and Ripples.- A Probabilistic Neural Network for Assessment of the Vesicoureteral Reflux’s Diagnostic Factors Validity.- Shape-Based Tumor Retrieval in Mammograms Using Relevance-Feedback Techniques.- Efficient Domain Decomposition for a Neural Network Learning Algorithm, Used for the Dose Evaluation in External Radiotherapy.- Towards Better Receptor-Ligand Prioritization: How Machine Learning on Protein-Protein Interaction Data Can Provide Insight Into Receptor-Ligand Pairs.- Computational Neuroscience.- The DAMNED Simulator for Implementing a Dynamic Model of the Network Controlling Saccadic Eye Movements.- A Model of Basal Ganglia in Saccade Generation.- Computational Inferences on Alteration of Neurotransmission in Chemotaxis Learning in Caenorhabditis elegans.- Neuro-symbolic Representation of Logic Programs Defining Infinite Sets.- A Model for Center-Surround Stimulus-Dependent Receptive Fields.- Simple Constraints for Zero-Lag Synchronous Oscillations under STDP.- Feature Selection/Parameter Identification and Dimensionality Reduction.- Multilinear Decomposition and Topographic Mapping of Binary Tensors.- Evolutionary q-Gaussian Radial Basis Functions for Improving Prediction Accuracy of Gene Classification Using Feature Selection.- Sparse Coding for Feature Selection on Genome-Wide Association Data.- Self-adaptive Artificial Neural Network in Numerical Models Calibration.- Measuring Adjective Spaces.- Echo State Networks with Sparse Output Connections.- On Estimating Mutual Information for Feature Selection.- Using Correlation Dimension for Analysing Text Data.- Filtering.- Designing Simple Nonlinear Filters Using Hysteresis of Single Recurrent Neurons for Acoustic Signal Recognition in Robots.- Automatic Segmentation of Color Lip Images Based on Morphological Filter.- Learning in a Unitary Coherent Hippocampus.- Collaborative Filtering through SVD-Based and Hierarchical Nonlinear PCA.- Genetic – Evolutionary Algorithms.- A Novel Tuning Method for Neural Oscillators with a Ladder-Like Structure Based on Oscillation Analysis.- Ensemble-Based Methods for Cancellable Biometrics.- A Privacy-Preserving Distributed and Incremental Learning Method for Intrusion Detection.- Using Evolutionary Multiobjective Techniques for Imbalanced Classification Data.- Modeling the Ase 20 Greek Index Using Artificial Neural Nerworks Combined with Genetic Algorithms.- A Hybrid Approach for Artifact Detection in EEG Data.- Improving the Scalability of Recommender Systems by Clustering Using Genetic Algorithms.- Image – Video and Audio Processing.- A Directional Laplacian Density for Underdetermined Audio Source Separation.- Frontal View Recognition Using Spectral Clustering and Subspace Learning Methods.- Improving the Robustness of Subspace Learning Techniques for Facial Expression Recognition.- Variational Bayesian Image Super-Resolution with GPU Acceleration.- A Novel Approach for Hardware Based Sound Localization.- Color Segmentation Using Self-Organizing Feature Maps (SOFMs) Defined Upon Color and Spatial Image Space.- Independent Component Analysis of Multi-channel Near-Infrared Spectroscopic Signals by Time-Delayed Decorrelation.- Micro Nucleus Detection in Human Lymphocytes Using Convolutional Neural Network.- Region Matching Techniques for Spatial Bag of Visual Words Based Image Category Recognition.- Application of K-Means and MLP in the Automation of Matching of 2DE Gel Images.- Robust Workflow Recognition Using Holistic Features and Outlier-Tolerant Fused Hidden Markov Models.- A Neural Approach to Image Thresholding.- Bubbles Detection on Sea Surface Images.- No-Reference Video Quality Assessment Design Framework Based on Modular Neural Networks.- Removing an Object from Video Sequence Algorithm Implemented on Analog CNN and DSP Microprocessors.