Fuzzy Probabilistic Learning and Reasoning, Rule Induction for Decision-Support Systems in Exacting Environments

Learning to recognise: A study on one-class classification and active learning

Efficient Multiclass ROC Approximation by Decomposition via Confusion Matrix Perturbation Analysis

A learning Dempster-Shafer model for automated building detection

Efficient Identification of Timed Automata: Theory and practice

Ant Colony Optimization for Control

Personalised Access to Social Media

Finding cancer genes in copy number data and insertional mutagenesis data

Can We Predict Types of Code Changes? An Empirical Analysis

Multi-Scale Pattern Recognition for Image Classification and Segmentation

Advancing the Relevance Criteria for Video Search and Visual Summarization

A NAO robot playing tic-tac-toe: Comparing alternative methods for Inverse Kinematics

Prediction Of Hydrological Models’ Uncertainty By A Committee Of Machine Learning-Models

VizBin: An application for reference-independent visualization and human-augmented binning of metagenomic data

Sequence-based learning algorithms for understanding and improving protein characteristics

Dissimilarity-Based Multiple Instance Learning

Learning about the opponent in automated bilateral negotiation: A comprehensive survey of opponent modeling techniques

Large-Scale Flight Phase Identification from ADS-B Data Using Machine Learning Methods

Efficient Learning of Communication Profiles from IP Flow Records

Nested algorithms for optimal reservoir operation and their embedding in a decision support platform