Papers matching “machine learning framework” 53
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Artifact and reference models for generative machine learning frameworks and build systems2021 ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences (GPCE) conference-paper Computer Science Model-Driven Software Engineering Techniques cited by 3 patents
Abdallah Atouani, Jörg Christian Kirchhof, Evgeny Kusmenko, Bernhard Rumpe⋆
15citations -
Machine Learning as a Service for DiSSCo’s Digital Specimen Architecture2021 Biodiversity Information Science and Standards article Computer Science Research Data Management Practices Open access
Jonas Grieb, Claus Weiland, Alex Hardisty, Wouter Addink, Sharif Islam, Sohaib Younis, +1 more
7citations -
A machine learning approach to mapping baryons on to dark matter haloes using the eagle and C-EAGLE simulations2021 Monthly Notices of the Royal Astronomical Society article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access
Christopher C. Lovell, Stephen M. Wilkins, Matthieu Schaller, C. M. Baugh, Giulio Fabbian, Yannick M Bahé
47citations -
The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires2021 Nature Machine Intelligence article Biochemistry, Genetics and Molecular Biology vaccines and immunoinformatics approaches Open access
Milena Pavlović, Lonneke Scheffer, Keshav Motwani, Chakravarthi Kanduri, Radmila Kompova, Nikolay Vazov, +36 more
88citations -
A Framework for Staging Personal Health Trains in the Cloud2021 International Conference on Web Information Systems and Technologies conference-paper Computer Science Privacy-Preserving Technologies in Data Open access
Virginia Graciano Martinez, Luís Ferreira Pires, Luiz Olavo Bonino da Silva Santos, João Moreira, Renata Figueiredo Ramalho Costa de Souza
1citations -
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 -
Framework for Potential Analysis by Approximating Line-Less Assembly Systems with AutoML2021 Lecture notes in mechanical engineering conference-paper Engineering Flexible and Reconfigurable Manufacturing Systems
Lea Kaven, Jonas Rachner, Amon Göppert, Sazvan Saeed, Robert Heinrich Schmitt
5citations -
Data Analytics Production Line Optimization Model (DAPLOM) - A Systematic Framework for Process Optimizations2021 Lecture notes in production engineering conference-paper Engineering Digital Transformation in Industry
Durmus Harman, Daniel Buschmann, Michael Knapp, Robert Heinrich Schmitt, H. Eigenbrod
4citations -
From Superficial to Deep: Language Bias driven Curriculum Learning for Visual Question Answering2021 ACM International Conference on Multimedia (ACM MM) conference-paper Computer Science Multimodal Machine Learning Applications
Mingrui Lao, Yanming Guo, Yu Liu, Wei Chen, Nan Pu, Michael S. Lew
22citations -
Quantum speed-ups in reinforcement learning2021 Quantum Nanophotonic Materials, Devices, and Systems conference-paper Computer Science Quantum Computing Algorithms and Architecture Open access
Valeria Saggio, Beate E. Asenbeck, Teodor Strömberg, Peter Schiansky, Vedran Dunjko, Nicolai Friis, +6 more
4citations -
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