200 citations
- GESIS - Leibniz Institute for the Social SciencesDE4 papers
- TH Köln - University of Applied SciencesDE4 papers
- Barcelona Supercomputing CenterES3 papers
- Centre for Research and Technology HellasGR3 papers
- National and Kapodistrian University of AthensGR3 papers
- Universitat Politècnica de CatalunyaES3 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Institute of Biomembranes, Bioenergetics and Molecular BiotechnologiesIT2 papers
- Leiden University Medical CenterNL2 papers
- SIB Swiss Institute of BioinformaticsCH2 papers
- Université de MontpellierFR2 papers
- Université Libre de BruxellesBE2 papers
4 papers · 1 filter
DOME Registry: Implementing community-wide recommendations for reporting supervised machine learning in biology
Omar Abdelghani Attafi, Damiano Clementel, Konstantinos Kyritsis +17
Supervised machine learning (ML) is used extensively in biology and deserves closer scrutiny. The DOME recommendations aim to enhance the validation and reproducibility of ML resea…
Synthetic data: How could it be used for infectious disease research?
Styliani-Christina Fragkouli, Dhwani Solanki, Leyla J Castro +4
Over the last three to five years, it has become possible to generate machine learning synthetic data for healthcare-related uses. However, concerns have been raised about potentia…
Enriched BERT Embeddings for Scholarly Publication Classification
Benjamin Wolff, Eva Seidlmayer, Konrad U. Förstner
With the rapid expansion of academic literature and the proliferation of preprints, researchers face growing challenges in manually organizing and labeling large volumes of article…
FAIR 2.0: Extending the FAIR Guiding Principles to Address Semantic Interoperability
Lars Vogt, Philip Strömert, Nicolas Matentzoglu +4
FAIR data presupposes their successful communication between machines and humans while preserving their meaning and reference, requiring all parties involved to share the same back…