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Overview of BioASQ 2025: The Thirteenth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
This is an overview of the thirteenth edition of the BioASQ challenge in the context of the Conference and Labs of the Evaluation Forum (CLEF) 2025....
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Partially trained graph convolutional networks resist oversmoothing
In this work we investigate an observation made by Kipf and Welling (5th International Conference on Learning Representations, 2017), who suggested...
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Analyzing the effect of residual connections to oversmoothing in graph neural networks
The performance of Graph Neural Networks (GNNs) diminishes as their depth increases. That is mainly attributed to oversmoothing, which leads to...
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Reducing oversmoothing through informed weight initialization in graph neural networks
In this work, we generalize the ideas of Kaiming initialization to Graph Neural Networks (GNNs) and propose a new scheme (G-Init) that reduces...
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BioASQ at CLEF2025: The Thirteenth Edition of the Large-Scale Biomedical Semantic Indexing and Question Answering Challenge
During the last twelve years, the large-scale biomedical semantic indexing and question-answering challenge (BioASQ) has been pushing towards the...
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Calibrating TabTransformer for financial misstatement detection
In this paper, we deal with the task of identifying the probability of misstatements in the annual financial reports of public companies. In...
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ENTRANT: A Large Financial Dataset for Table Understanding
Tabular data is a way to structure, organize, and present information conveniently and effectively. Real-world tables present data in two dimensions...
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EURO-NMD registry: federated FAIR infrastructure, innovative technologies and concepts of a patient-centred registry for rare neuromuscular disorders
BackgroundThe EURO-NMD Registry collects data from all neuromuscular patients seen at EURO-NMD's expert centres. In-kind contributions from three...
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Learning Automata-Based Complex Event Patterns in Answer Set Programming
Complex Event Recognition and Forecasting (CER/F) techniques attempt to detect, or even forecast ahead of time, event occurrences in streaming input...
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Overview of BioASQ 2024: The Twelfth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
This is an overview of the twelfth edition of the BioASQ challenge in the context of the Conference and Labs of the Evaluation Forum (CLEF) 2024....
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Efficient Complex Network Representation Using Prime Numbers
In this work, we propose a novel representation of complex networks, which is compact and enables very efficient network analysis. Multi-relational...
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BioASQ at CLEF2024: The Twelfth Edition of the Large-Scale Biomedical Semantic Indexing and Question Answering Challenge
The large-scale biomedical semantic indexing and question-answering challenge (BioASQ) aims at the continuous advancement of methods and tools to...
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Online semi-supervised learning of composite event rules by combining structure and mass-based predicate similarity
Symbolic event recognition systems detect event occurrences using first-order logic rules. Although existing online structure learning approaches...
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Improving Graph Neural Networks by combining active learning with self-training
In this paper, we propose a novel framework, called STAL, which makes use of unlabeled graph data, through a combination of Active Learning and...
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Comparing methods for drug–gene interaction prediction on the biomedical literature knowledge graph: performance versus explainability
This paper applies different link prediction methods on a knowledge graph generated from biomedical literature, with the aim to compare their ability...
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BioASQ-QA: A manually curated corpus for Biomedical Question Answering
The BioASQ question answering (QA) benchmark dataset contains questions in English, along with golden standard (reference) answers and related...
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Overview of BioASQ 2023: The Eleventh BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
This is an overview of the eleventh edition of the BioASQ challenge in the context of the Conference and Labs of the Evaluation Forum (CLEF) 2023....
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BioASQ at CLEF2023: The Eleventh Edition of the Large-Scale Biomedical Semantic Indexing and Question Answering Challenge
The large-scale biomedical semantic indexing and question-answering challenge (BioASQ) aims at the continuous advancement of methods and tools to...
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Identifying the presence and severity of dementia by applying interpretable machine learning techniques on structured clinical records
BackgroundDementia develops as cognitive abilities deteriorate, and early detection is critical for effective preventive interventions. However,...
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Optimizing vessel trajectory compression for maritime situational awareness
We present an open-source system that can optimize compressed trajectory representations for large fleets of vessels. We take into account the type...
