Ecosyste.ms: Papers
An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.
Projects: pypi: auto-sklearn
https://packages.ecosyste.ms/registries/pypi.org/packages/auto-sklearn
Automated machine learning.
42 versions
Latest release: over 1 year ago
6 dependent packages
24,375 downloads last month
Papers Mentioning auto-sklearn 10
10.1371/journal.pone.0254062
PHOTONAI—A Python API for rapid machine learning model developmentCited by: 8
Author(s): Ramona Leenings, Nils R. Winter, Lucas Plagwitz, Vincent Holstein, Jan Ernsting, Kelvin Sarink, L. Fisch, Jakob Steenweg, Leon Kleine-Vennekate, Julian Gebker, Daniel Emden, Dominik Grotegerd, Nils Opel, Benjamin Risse, Xiaoyi Jiang, Udo Dannlowski, Tim Hahn
Software Mentions: 15
Published: almost 3 years ago
10.1186/s12859-020-03774-1
Hypercluster: a flexible tool for parallelized unsupervised clustering optimizationCited by: 7
Author(s): Lili M. Blumenberg, Kelly V. Ruggles
Software Mentions: 13
Published: over 3 years ago
10.1371/journal.pone.0225577
Designing machine learning workflows with an application to topological data analysisCited by: 4
Author(s): Eric Cawi, Patricio S. La Rosa, Arye Nehorai
Software Mentions: 7
Published: over 4 years ago
10.1093/bioinformatics/btz796
Model selection for metabolomics: predicting diagnosis of coronary artery disease using automated machine learningCited by: 38
Author(s): Alena Orlenko, Daniel Kofink, Leo-Pekka Lyytikäinen, Kjell Nikus, Pashupati P. Mishra, Pekka Kuukasjärvi, Pekka J. Karhunen, Mika Kähönen, Jari Laurikka, Terho Lehtimäki, Folkert W. Asselbergs, Jason H. Moore
Software Mentions: 5
Published: over 4 years ago
10.1093/bioinformatics/btz470
Scaling tree-based automated machine learning to biomedical big data with a feature set selectorCited by: 216
Author(s): Trang T. Le, Weixuan Fu, Jason H. Moore
Software Mentions: 4
Published: almost 5 years ago
10.3390/s20092734
Identification of Risk Factors Associated with Obesity and Overweight—A Machine Learning OverviewCited by: 91
Author(s): Ayan Chatterjee, Martin Gerdes, Santiago Martínez
Software Mentions: 3
Published: about 4 years ago
10.1016/j.patter.2020.100178
SIMON: Open-Source Knowledge Discovery PlatformCited by: 14
Author(s): Adriana Tomić, Ivan Tomić, Levi Waldron, Ludwig Geistlinger, Max Kühn, Rachel L. Spreng, Lindsay C. Dahora, Kelly E. Seaton, Georgia D. Tomaras, Jennifer Hill, Niharika Arora Duggal, Ross D. Pollock, Norman R. Lazarus, Stephen Harridge, Janet M. Lord, Purvesh Khatri, Andrew J. Pollard, Mark M. Davis
Software Mentions: 3
Published: over 3 years ago
10.3390/jcm8071050
Physician-Friendly Machine Learning: A Case Study with Cardiovascular Disease Risk PredictionCited by: 40
Author(s): Meghana Padmanabhan, Pengyu Yuan, Govind Chada, Hien Van Nguyen
Software Mentions: 2
Published: almost 5 years ago
10.1038/s41398-019-0607-2
Recommendations and future directions for supervised machine learning in psychiatryCited by: 63
Author(s): Micah Cearns, Tim Hahn, Bernhard T. Baune
Software Mentions: 2
Published: over 4 years ago
10.1038/s41398-020-00962-8
A machine-learning framework for robust and reliable prediction of short- and long-term treatment response in initially antipsychotic-naïve schizophrenia patients based on multimodal neuropsychiatric dataCited by: 23
Author(s): Karen S Ambrosen, Martin W Skjerbæk, Jonathan Foldager, Martin Christian Axelsen, Nikolaj Bak, Lars Arvastson, Søren Rahn Christensen, Louise Baruël Johansen, Jayachandra Mitta Raghava, Bob Oranje, Egill Rostrup, Mette Ødegaard Nielsen, Merete Osler, Birgitte Fagerlund, Christos Pantelis, Bruce J. Kinon, Birte Glenthøj, Lars Kai Hansen, Bjørn H Ebdrup
Software Mentions: 2
Published: almost 4 years ago