Not finding it? Sign in to also search OpenAlex live.
-
The transformative potential of Living Labs for biodiversity recovery2026 Agriculture and Human Values article Business, Management and Accounting Innovative Approaches in Technology and Social Development Open access
Judith Westerink, Susan de Koning, Bibi Witvliet, Huub Ploegmakers, Aafke Schaap, Henk‐Jan Kooij, +3 more
0citations -
DeepVF: a deep learning-based hybrid framework for identifying virulence factors using the stacking strategy2020 Briefings in Bioinformatics article Biochemistry, Genetics and Molecular Biology Machine Learning in Bioinformatics Open access
Ruopeng Xie, Jiahui Li, Jiawei Wang, Wei Dai, André Leier, Tatiana T. Marquez‐Lago, +4 more
90citations -
Application of Machine Learning in Nanotoxicology: A Critical Review and Perspective2024 Environmental Science & Technology article Materials Science Machine Learning in Materials Science Open access
Yunchi Zhou, Ying Wang, Willie J.G.M. Peijnenburg, Martina G. Vijver, Surendra Balraadjsing, Zhaomin Dong, +9 more
32citations -
Deep learning on CT scans to predict checkpoint inhibitor treatment outcomes in advanced melanoma2024 Scientific Reports article Medicine Radiomics and Machine Learning in Medical Imaging Open access
Laurens S. ter Maat, Rob A. J. de Mooij, Isabella A.J. van Duin, Joost J.C. Verhoeff, Sjoerd Geert Elias, Tim Leiner, +20 more
2citations -
Accurate prediction of structural and mechanical properties on amorphous materials enabled through machine-learning potentials: a case study of silicon nitride2024 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access
Ganesh Kumar Nayak, Prashanth Srinivasan, Juraj Todt, Rostislav Daniel, Paolo Nicolini, David Holec
1citations -
Computing formation enthalpies through an explainable machine learning method: the case of lanthanide orthophosphates solid solutions2024 Frontiers in Applied Mathematics and Statistics article Materials Science Machine Learning in Materials Science Open access
Edoardo Di Napoli, Xinzhe Wu, Thomas Bornhake, Piotr M. Kowalski
1citations -
DrugEx v2: de novo design of drug molecules by Pareto-based multi-objective reinforcement learning in polypharmacology2021 Journal of Cheminformatics article Computer Science Computational Drug Discovery Methods Open access cited by 1 patent
Xuhan Liu, Kai Ye, Herman van Vlijmen, Michael Emmerich, Adriaan P. IJzerman, Gerard J. P. van Westen
118citations -
Induced network-based transfer learning in injection molding for process modelling and optimization with artificial neural networks97citations