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07/04/2023
In-Domain Self-Supervised Learning Can Lead to Improvements in Remote Sensing Image Classification
Self-supervised learning (SSL) has emerged as a promising approach for r...
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07/01/2023
SHARCS: Shared Concept Space for Explainable Multimodal Learning
Multimodal learning is an essential paradigm for addressing complex real...
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06/27/2023
Enhancing Representation Learning on High-Dimensional, Small-Size Tabular Data: A Divide and Conquer Method with Ensembled VAEs
Variational Autoencoders and their many variants have displayed impressi...
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06/21/2023
ProtoGate: Prototype-based Neural Networks with Local Feature Selection for Tabular Biomedical Data
Tabular biomedical data poses challenges in machine learning because it ...
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03/16/2023
Sample size determination via learning-type curves
This paper is concerned with sample size determination methodology for p...
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11/28/2022
Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data
Tabular biomedical data is often high-dimensional but with a very small ...
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11/11/2022
Graph-Conditioned MLP for High-Dimensional Tabular Biomedical Data
Genome-wide studies leveraging recent high-throughput sequencing technol...
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08/05/2022
Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge The Discovery Challenge Workshop at ECML PKDD 2021
The volume contains selected contributions from the Machine Learning Cha...
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07/14/2022
Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image Classification
We present 'AiTLAS: Benchmark Arena' – an open-source benchmark framewor...
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01/21/2022
AiTLAS: Artificial Intelligence Toolbox for Earth Observation
The AiTLAS toolbox (Artificial Intelligence Toolbox for Earth Observatio...
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12/17/2021
Heavy-tailed denoising score matching
Score-based model research in the last few years has produced state of t...
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08/04/2021
Discovering outliers in the Mars Express thermal power consumption patterns
The Mars Express (MEX) spacecraft has been orbiting Mars since 2004. The...
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08/03/2021
GalaxAI: Machine learning toolbox for interpretable analysis of spacecraft telemetry data
We present GalaxAI - a versatile machine learning toolbox for efficient ...
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06/09/2021
Attentional meta-learners are polythetic classifiers
Polythetic classifications, based on shared patterns of features that ne...
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12/02/2020
Improving Interpretability in Medical Imaging Diagnosis using Adversarial Training
We investigate the influence of adversarial training on the interpretabi...
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11/22/2020
Using ontology embeddings for structural inductive bias in gene expression data analysis
Stratifying cancer patients based on their gene expression levels allows...
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09/29/2020
Incorporating network based protein complex discovery into automated model construction
We propose a method for gene expression based analysis of cancer phenoty...
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08/05/2020
Fuzzy Jaccard Index: A robust comparison of ordered lists
We propose Fuzzy Jaccard Index (FUJI) – a scale-invariant score for asse...
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06/18/2020
Constraining Variational Inference with Geometric Jensen-Shannon Divergence
We examine the problem of controlling divergences for latent space regul...
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06/12/2020
On Second Order Behaviour in Augmented Neural ODEs
Neural Ordinary Differential Equations (NODEs) are a new class of models...
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07/01/2019
Equation Discovery for Nonlinear System Identification
Equation discovery methods enable modelers to combine domain-specific kn...
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09/03/2018