26th ESANN 2018: Bruges, Belgium

Deep learning and image processing

Interaction and User Integration in Machine Learning for Information Visualisation

Nonlinear dimensionality reduction


Regression and recommendation systems

Shallow and Deep models for transfer learning and domain adaptation

Machine Learning and Data Analysis in Astroinformatics

Deep Learning in Bioinformatics and Medicine

Randomized Neural Networks

Clustering and feature selection

Mathematical aspects of learning, and reinforcement learning

Emerging trends in machine learning: beyond conventional methods and data

Temporal data, sequences and incremental learning

Impact of Biases in Big Data

Optimization and metaheuristics

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