Papers matching “explainable machine learning” 47
Not finding it? Sign in to also search OpenAlex live.
-
Explainable Machine Learning for prediction and monitoring of compressive strength in LC3 production2026 Zenodo (CERN European Organization for Nuclear Research) preprint Engineering Concrete and Cement Materials Research Open access
Thorsten Kalb, Ismael Kithinji Kinoti, Wilson Ricardo Leal da Silva, Chiara Masiero, Gian Antonio Susto
0citations -
Explainable Machine Learning for prediction and monitoring of compressive strength in LC3 production2026 Zenodo (CERN European Organization for Nuclear Research) preprint Engineering Mineral Processing and Grinding Open access
Thorsten Kalb, Ismael Kithinji Kinoti, Wilson Ricardo Leal da Silva, Chiara Masiero, Gian Antonio Susto
0citations -
An Interpretable Machine Learning Model with Deep Learning-based Imaging Biomarkers for Diagnosis of Alzheimer's Disease2023 arXiv (Cornell University) preprint Medicine Dementia and Cognitive Impairment Research Open access
Wenjie Kang, Bo Li, Janne M. Papma, Lize Corrine Jiskoot, Peter Paul De Deyn, Geert Jan Biessels, +6 more
1citations -
Explainable Comparison of Feature-Based and Deep Learning Models for TROPOMI Methane Plume Screening2026 arXiv (Cornell University) preprint Environmental Science Atmospheric and Environmental Gas Dynamics Open access
Solomiia Kurchaba, Joannes D. Maasakkers, Berend J. Schuit, Ilse Aben
0citations -
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 multi-view framework for dissecting intercellular signaling from highly multiplexed spatial data2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Jovan Tanevski, Ricardo O. Ramirez Flores, Attila Gábor, Denis Schapiro, Julio Sáez-Rodríguez
28citations -
Explainable multi-view framework for dissecting intercellular signaling from highly multiplexed spatial data2021 Research Square preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Jovan Tanevski, Attila Gábor, Ricardo Ramirez Flores, Denis Schapiro, Julio Sáez-Rodríguez
10citations -
Artifacts from the study "Explainable histomorphology-based survival prediction of glioblastoma, IDH-wildtype"2026 arXiv (Cornell University) preprint Medicine Radiomics and Machine Learning in Medical Imaging Open access
Jan-Philipp Redlich, Friedrich Feuerhake, Stefan Nikolin, Nadine S. Schaadt, Sarah Teuber‐Hanselmann, J Weis, +9 more
0citations