Papers matching “explainable machine learning” 66
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Reproducibility Archive for Explainable Machine Learning Integrating Quantum Mechanical Descriptors and Matched Molecular Pair Analysis for Scaffold-Generalizable Discovery of Soluble Epoxide Hydrolase Inhibitors.2026 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Computational Drug Discovery Methods Open access
Dileep Kumar, Ajwin Joseph Martin, Maria Grishina, Mohd Shahbaaz
0citations -
Reproducibility Archive for Explainable Machine Learning Integrating Quantum Mechanical Descriptors and Matched Molecular Pair Analysis for Scaffold-Generalizable Discovery of Soluble Epoxide Hydrolase Inhibitors.2026 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Computational Drug Discovery Methods Open access
Dileep Kumar, Ajwin Joseph Martin, Maria Grishina, Mohd Shahbaaz
0citations -
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 -
Explainable Multi-Modal and Local Approaches to Modelling Injuries in Sports Data2023 IEEE ... International Conference on Data Mining workshops conference-paper Computer Science Explainable Artificial Intelligence (XAI) Open access
Dan Hudson, Ruud J. R. Den Hartigh, Laurentius A. Meerhoff, Martin Atzmueller
4citations -
MultiGML: Multimodal Graph Machine Learning for Prediction of Adverse Drug Events2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Computational Drug Discovery Methods Open access
Sophia Krix, Lauren Nicole DeLong, Sumit Madan, Daniel Domingo‐Fernándéz, Ashar Ahmad, Sheraz Gul, +2 more
3citations -
Explainable LiDAR 3D Point Cloud Segmentation and Clustering for Detecting Airplane-Generated Wind Turbulence2025 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) conference-paper Computer Science Advanced Neural Network Applications Open access
Shuzhou Yuan, Michael Färber, Marius Brennfleck, Niklas Wartha, Anton Stephan
1citations