Papers matching “explainable boosting machine” 27
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An interpretable machine learning framework with data-informed imaging biomarkers for diagnosis and prediction of Alzheimer’s disease2026 Computerized Medical Imaging and Graphics article Medicine Dementia and Cognitive Impairment Research Open access
Wenjie Kang, Bo Li, Lize Corrine Jiskoot, Peter Paul De Deyn, Geert Jan Biessels, Huiberdina L. Koek, +6 more
6citations -
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 -
A general tree-based machine learning accelerator with memristive analog CAM2022 IEEE International Symposium on Circuits and Systems proceedings conference-paper Engineering Advanced Memory and Neural Computing
Giacomo Pedretti, Sergey Serebryakov, John Paul Strachan, Catherine E. Graves
4citations -
An Interpretable Machine Learning Model with Deep Learning-Based Imaging Biomarkers for Diagnosis of Alzheimer’s Disease2023 Lecture notes in computer science conference-paper 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
7citations -
Development of a regional feature selection-based machine learning system (RFSML v1.0) for air pollution forecasting over China2022 Geoscientific model development article Environmental Science Air Quality Monitoring and Forecasting Open access
Fang Li, Jianbing Jin, Arjo J. Segers, Hai Xiang Lin, Mijie Pang, Tuo Deng, +1 more
25citations -
Machine-Learning Based Approximation of the Hierarchical Model Predictive Control of Multi-Use PV-Battery Systems in Non-Residential Buildings1citations
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Global models and predictions of plant diversity based on advanced machine learning techniques2022 New Phytologist article Environmental Science Ecology and Vegetation Dynamics Studies Open access
Lirong Cai, Holger Kreft, Amanda Taylor, Pierre Denelle, Julian Schrader, Franz Essl, +19 more
185citations -
Machine Learning Highlights Association of Body Composition with Cholangiocarcinoma Mortality2025 Zeitschrift für Gastroenterologie conference-paper Medicine Cholangiocarcinoma and Gallbladder Cancer Studies
Feng Cao, Katharina Joechle, Tobias Seibel, Niharika Jakhar, Thriveni B. Raju, Carolin Victoria Schneider, +1 more
0citations -
Transfer Learning and Machine Learning for Training Five-Year Survival Prognostic Models in Early Breast Cancer: Development and Validation Study2026 Journal of Medical Internet Research article Biochemistry, Genetics and Molecular Biology Breast Cancer Treatment Studies Open access
Lisa Pilgram, Kai Yang, Ana-Alicia Beltran-Bless, Gregory R. Pond, Lisa Vandermeer, Marie-France Savard, +18 more
0citations -
GL-ICNN: An End-To-End Interpretable Convolutional Neural Network for the Diagnosis and Prediction of Alzheimer's Disease2025 IEEE International Symposium on Biomedical Imaging (ISBI) conference-paper Medicine Dementia and Cognitive Impairment Research Open access
Wenjie Kang, Lize Corrine Jiskoot, Peter Paul De Deyn, Geert Jan Biessels, Huiberdina L. Koek, Jurgen A.H.R. Claassen, +5 more
3citations -
GL-ICNN: An End-To-End Interpretable Convolutional Neural Network for the Diagnosis and Prediction of Alzheimer's Disease2025 arXiv (Cornell University) preprint Medicine Dementia and Cognitive Impairment Research Open access
Wenjie Kang, Lize Corrine Jiskoot, Peter Paul De Deyn, Geert Jan Biessels, Huiberdina L. Koek, Jurgen A.H.R. Claassen, +5 more
0citations -
Erklärbarkeit in KI-gestützter Differenzialdiagnostik von Lungenparenchymveränderungen in einer großen multizentrischen Kohorte2025 RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren conference-paper Computer Science Explainable Artificial Intelligence (XAI)
Benedikt Wichtlhuber, Andreas Michael Bucher, Paul Jacobs, Eric Frodl, Matthias Neitzel, Diane Miriam Renz, +3 more
0citations -
Improving the Timing Resolution of Positron Emission Tomography Detectors Using Boosted Learning—A Residual Physics Approach2023 IEEE Transactions on Neural Networks and Learning Systems article Physics and Astronomy Radiation Detection and Scintillator Technologies Open access
Stephan Naunheim, Yannick Kuhl, David Schug, Volkmar Schulz, Florian Mueller
24citations -
Convolutional Embedded Networks for Population Scale Clustering and Bio-Ancestry Inferencing2020 IEEE Transactions on Computational Biology and Bioinformatics article Biochemistry, Genetics and Molecular Biology Forensic and Genetic Research Open access
Md. Rezaul Karim, Michael Cochez, Achille Zappa, Ratnesh Sahay, Oya Beyan, Stefan Decker
16citations