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

Towards a roadmap for development of intelligent data analysis based cyber attack detection systems

Evaluating the Quality of Opponent Models in Automated Bilateral Negotiations

Sample reusability in importance-weighted active learning

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

Event correlation for detecting advanced multi-stage cyber-attacks

An Exploratory Study on Authorship Verification Models for Forensic Purpose

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

Interpretable classification of tumours through multiple instance learning and somatic mutations

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

Using the Multiple Instance Learning framework to address differential regulation