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Sophia Tsoka

2 papers indexed

arxivcs.LG2026-07-06

Biologically Informed Deep Neural Networks for Multi-Omic Integration, Pathway Activity Inference and Risk Stratification in Cancer

Pedro Henrique da Costa Avelar, Le Ou-Yang, Min Wu, Sophia Tsoka

Integrating complex, multi-omics data presents significant challenges. Existing approaches often face a trade-off between model interpretability and representational capacity, with most either relying on post-hoc interpretation or use linear models that may overlook complex inter…

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crossrefMachine Learning and Knowledge Extraction2025-04-05Cited by 2

Optimisation-Based Feature Selection for Regression Neural Networks Towards Explainability

Georgios I. Liapis, Sophia Tsoka, Lazaros G. Papageorgiou

Regression is a fundamental task in machine learning, and neural networks have been successfully employed in many applications to identify underlying regression patterns. However, they are often criticised for their lack of interpretability and commonly referred to as black-box m…

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