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

Event correlation for detecting advanced multi-stage cyber-attacks

An Exploratory Study on Authorship Verification Models for Forensic Purpose

Interpretable classification of tumours through multiple instance learning and somatic mutations

Using the Multiple Instance Learning framework to address differential regulation

Classification of valence using facial expressions of TV-viewers

Anomaly detection for internet banking using supervised learning on high dimensional data

Real-time estimation of surgical procedure duration

Kernel based LTI and LPV subspace identification: A synergy between machine learning and system identification methods

Enhancing Real-Time Twitter Filtering and Classification using a Semi-Automatic Dynamic Machine Learning setup approach

Supervised Learning for Measuring Hip Joint Distance in Digital X-ray Images

High-Speed Object Detection: Design, Study and Implementation of a Detection Framework using Channel Features and Boosting

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Tuning of Optical Beamforming Networks: A Deep Learning Approach

Wave climate reduction for medium term process based morphodynamic simulations: With application to the Durban coast

Micro-Activity Recognition using Wearables for Human Augmentation

Tabular Reinforcement Learning Aided by Generalisation Methods

Early Fault Detection in Industrial Plants: Is it possible to decrease unscheduled downtime?