Pre-Wirn workshop on Computational Intelligence Methods for Bioinformatics and Bistatistics (CIBB).- Progengrid: A Grid Framework for Bioinformatics.- A Preliminary Investigation on Connecting Genotype to Oral Cancer Development through XCS.- Mass Spectrometry Data Analysis for Early Detection of Inherited Breast Cancer.- Feature Selection Combined with Random Subspace Ensemble for Gene Expression Based Diagnosis of Malignancies.- Pruning the Nodule Candidate Set in Postero Anterior Chest Radiographs.- Protein Structure Assembly from Knowledge of ?-Sheet Motifs and Secondary Structure.- Analysis of Oligonucleotide Microarray Images Using a Fuzzy Sets Approach in HLA Typing.- Combinatorial and Machine Learning Approaches in Clustering Microarray Data.- Gene Expression Data Modeling and Validation of Gene Selection Methods.- Mining Yeast Gene Microarray Data with Latent Variable Models.- Recent Applications of Neural Networks in Bioinformatics.- Pre-WIRN workshop on Computational Intelligence on Hardware: Algorithms, Implementations and Applications (CIHAIA).- An Algorithm for Reducing the Number of Support Vectors.- Genetic Design of Linear Block Error-Correcting Codes.- Neural Hardware Based on Kernel Methods for Industrial and Scientific Applications.- Stratistical Learning for Parton Identification.- Time-Varying Signals Classification Using a Liquid State Machine.- FPGA Based Statistical Data Mining Processor.- Neural Classification of HEP Experimental Data.- WIRN Regular Sessions Architectures and Algorithms.- The Random Neural Network Model for the On-Line Multicast Problem.- ERAF: A R Package for Regression and Forecasting.- Novel Pheromone Updating Strategy for Speeding up ACO Applied to VRP.- Inducing Communication Protocols from Conversations in a Multi AgentSystem.- Wordnet and Semidiscrete Decomposition for Sub-Symbolic Representation of Words.- The Hopfield and Kohonen Networks: an in Vivo Test.- Support Vector Regression with a Generalized Quadratic Loss.- A Flexible ICA Approach to a Novel BSS Convolutive Nonlinear Problem: Preliminary Results.- Models.- Computing Confidence Intervals for the Risk of A SVM Classifier through Algorithmic Inference.- Learning Continuous Functions through a New Linear Regression Method.- A Novel Kernel Method for Clustering.- Genetic Monte Carlo Markov Chains.- Consistency of Empirical Risk Minimization for Unbounded Loss Functions.- A Probabilistic PCA Clustering Approach to the SVD Estimate of Signal Subspaces.- Fast Dominant-Set Clustering.- Neural Network Classification Using Error Entropy Minimization.- Applications.- An ICA Approach to Unsupervised Change Detection in Multispectral Images.- A Comparison of ICA Algorithms in Biomedical Signal Processing.- Time-Frequency Analysis for Characterizing EMG Signals During fMRI Acquisitions.- A Neural Algorithm for Object Positioning in 3D Space Using Optoelectronic System.- Human Visual System Modelling for Real-Time Salt and Pepper Noise Removal.- Virtual Sensors to Support the Monitoring of Cultural Heritage Damage.- A Computer Aided Analysis on Digital Images.- Recursive Neural Networks for the Classification of Vehicles in Image Sequences.- Neural Network in Modeling Glucose-Insulin Behavior.- Assessing the Reliability of Communication Networks Through Maghine Learning Techniques.- Dynamical Reconstruction and Chaos for Disruption Prediction in Tokamak Reactors.