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06/04/2022
Interpretable Models Capable of Handling Systematic Missingness in Imbalanced Classes and Heterogeneous Datasets
Application of interpretable machine learning techniques on medical data...
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08/31/2020
Complex-valued embeddings of generic proximity data
Proximities are at the heart of almost all machine learning methods. If ...
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05/21/2020
Supervised Learning in the Presence of Concept Drift: A modelling framework
We present a modelling framework for the investigation of supervised lea...
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12/10/2019
Feature Relevance Determination for Ordinal Regression in the Context of Feature Redundancies and Privileged Information
Advances in machine learning technologies have led to increasingly power...
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10/16/2019
Hidden Unit Specialization in Layered Neural Networks: ReLU vs. Sigmoidal Activation
We study layered neural networks of rectified linear units (ReLU) in a m...
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03/18/2019
Galaxy classification: A machine learning analysis of GAMA catalogue data
We present a machine learning analysis of five labelled galaxy catalogue...
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03/18/2019
On-line learning dynamics of ReLU neural networks using statistical physics techniques
We introduce exact macroscopic on-line learning dynamics of two-layer ne...
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03/18/2019
Prototype-based classifiers in the presence of concept drift: A modelling framework
We present a modelling framework for the investigation of prototype-base...
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02/20/2019
