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 Agent System -- 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.