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Development of a Pipeline for Adverse Drug Reaction Identification in Clinical Notes: Word Embedding Models and String Matching2022 JMIR Medical Informatics article Pharmacology, Toxicology and Pharmaceutics Pharmacovigilance and Adverse Drug Reactions Open access
Klaske R Siegersma, Maxime Evers, Sophie H. Bots, Floor Groepenhoff, Yolande Appelman, Leonard Hofstra, +5 more
6citations -
Development of a Pipeline for Adverse Drug Reaction Identification in Clinical Notes: Word Embedding Models and String Matching (Preprint)2021 preprint Pharmacology, Toxicology and Pharmaceutics Pharmacovigilance and Adverse Drug Reactions Open access
Klaske R Siegersma, Maxime Evers, Sophie H. Bots, Floor Groepenhoff, Yolande Appelman, Leonard Hofstra, +5 more
0citations -
Advanced Characterization Approaches with Pad-Model De-Embedding of sub-THz Devices for 6G Applications2024 European Microwave Integrated Circuits Conference conference-paper Engineering Terahertz technology and applications
Aniello Franzese, Batuhan Sütbaş, Thomas Mausolf, Nicolò Moroni, Renato Negra, Alfredo Ramos, +5 more
5citations -
Interpreting Black-box Machine Learning Models for High Dimensional Datasets2023 IEEE International Conference on Data Science and Advanced Analytics (DSAA) conference-paper Computer Science Explainable Artificial Intelligence (XAI) Open access
Md Shajalal, Alexander Graß, Till Döhmen, Sisay Adugna Chala, Alexander Boden, Christian Beecks, +1 more
19citations -
Making Models That Matter: How to Build Trustworthy and Useful Systems Biology Models2026 arXiv (Cornell University) preprint Decision Sciences Scientific Computing and Data Management Open access
John M. Hancock, Mihail Anton, Frank Bergmann, Irina Balaur, Carissa Bleker, Thomas C. Collin, +20 more
0citations -
Medical foundation models converge less under label supervision2026 arXiv (Cornell University) preprint Medicine Artificial Intelligence in Healthcare and Education Open access
Soroosh Tayebi Arasteh, Sebastian Ziegelmayer, Mahshad Lotfinia, Lisa Adams, Sven Nebelung, Jakob Nikolas Kather, +1 more
0citations -
Genolator: A Multimodal Large Language Model Fusing Natural Language, Genomic, and Structural Tokens for Protein Function Interpretation2025 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Machine Learning in Bioinformatics Open access
Martin Danner, Tanhim Islam, Matthias Begemann, Florian Kraft, Miriam Elbracht, Ingo Kurth, +1 more
0citations -
scAGG: Sample-level embedding and classification of Alzheimer's disease from single-nucleus data2025 Computational and Structural Biotechnology Journal article Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Timo Verlaan, Gerard A. Bouland, Ahmed Essam Mahfouz, Marcel J. T. Reinders
1citations -
From Prose to Prototype: Synthesising Executable UML Models from Natural Language2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) conference-paper Computer Science Model-Driven Software Engineering Techniques Open access
Guus J. Ramackers, Pepijn Griffioen, Martijn B. J. Schouten, Michel R. V. Chaudron
8citations