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: iml

https://packages.ecosyste.ms/registries/pypi.org/packages/iml

Interpretable Machine Learning (iML) package. Explain the predictions of any model.
20 versions
Latest release: over 6 years ago
2,030 downloads last month

Papers Mentioning iml 14

Data-driven and interpretable machine-learning modeling to explore the fine-scale environmental determinants of malaria vectors biting rates in rural Burkina Faso
Cited by: 9
Author(s): Paul Taconet, Angélique Porciani, Dieudonné Diloma Soma, Karine Mouline, Frédéric Simard, Alphonsine A. Koffi, Cédric Pennetier, Roch K. Dabiré, Morgan Mangeas, Nicolas Moiroux
Software Mentions: 21
Published: over 3 years ago

10.3389/frai.2021.628441

Interpretability Versus Accuracy: A Comparison of Machine Learning Models Built Using Different Algorithms, Performance Measures, and Features to Predict E. coli Levels in Agricultural Water
Cited by: 12
Author(s): Daniel Weller, Tanzy Love, Martin Wiedmann
Software Mentions: 16
Published: over 3 years ago

10.1371/journal.pntd.0008940

Using host traits to predict reservoir host species of rabies virus
Cited by: 27
Author(s): Katherine E. L. Worsley‐Tonks, Luis E. Escobar, Roman Biek, Mariana Castaneda-Guzman, Meggan E. Craft, Daniel G. Streicker, Lauren A. White, Nicholas M. Fountain-Jones
Software Mentions: 10
Published: almost 4 years ago

10.1371/journal.pone.0239378

The path to international medals: A supervised machine learning approach to explore the impact of coach-led sport-specific and non-specific practice
Cited by: 7
Author(s): Michael Barth, Arne Güllich, Christian Raschner, Eike Emrich
Software Mentions: 10
Published: about 4 years ago

10.7717/peerj-cs.642

Cultural differences in music features across Taiwanese, Japanese and American markets
Cited by: 2
Author(s): K. M. Liew, Yukiko Uchida, Igor de Almeida
Software Mentions: 7
Published: over 3 years ago

10.1186/s12889-021-11530-0

Onset of effects of non-pharmaceutical interventions on COVID-19 infection rates in 176 countries
Cited by: 18
Author(s): Ingo W. Nader, Elisabeth L. Zeilinger, Dana Jomar, Clemens Zauchner
Software Mentions: 7
Published: over 3 years ago

10.1038/s41598-020-61164-2

Hurricane-Induced Rainfall is a Stronger Predictor of Tropical Forest Damage in Puerto Rico Than Maximum Wind Speeds
Cited by: 43
Author(s): Jazlynn Hall, Robert Muscarella, Andrew W. Quebbeman, Gabriel Arellano, Jill Thompson, Jess K. Zimmerman, María Uríarte
Software Mentions: 6
Published: over 4 years ago

10.3758/s13428-020-01435-y

Predicting affective appraisals from facial expressions and physiology using machine learning
Cited by: 3
Author(s): Laura Israel, Felix D. Schönbrodt
Software Mentions: 6
Published: over 4 years ago

10.1038/s41598-020-71355-6

Combining genetic markers with stable isotopes in otoliths reveals complexity in the stock structure of Atlantic bluefin tuna (Thunnus thynnus)
Cited by: 16
Author(s): Deirdre Brophy, Naiara Rodríguez-Ezpeleta, Igaratza Fraile, Haritz Arrizabalaga
Software Mentions: 5
Published: about 4 years ago

10.1002/ece3.6771

A brain and a head for a different habitat: Size variation in four morphs of Arctic charr ( <i>Salvelinus alpinus</i> (L.)) in a deep oligotrophic lake
Cited by: 8
Author(s): Ana-Maria Peris Tamayo, Olivier Devineau, Kim Præbel, Kimmo K. Kahilainen, Kjartan Østbye
Software Mentions: 5
Published: about 4 years ago

10.1038/s41597-021-01016-4

Using supervised learning to develop BaRAD, a 40-year monthly bias-adjusted global gridded radiation dataset
Cited by: 2
Author(s): TC Chakraborty, Xuhui Lee
Software Mentions: 4
Published: about 3 years ago

10.1017/cts.2020.513

Lessons and tips for designing a machine learning study using EHR data
Cited by: 14
Author(s): Jaron Arbet, Cole Brokamp, Jareen Meinzen‐Derr, Katy E. Trinkley, Heidi Spratt
Software Mentions: 4
Published: over 4 years ago

10.1038/s41598-020-57879-x

Prey and predator overlap at the edge of a mesoscale eddy: fine-scale, in-situ distributions to inform our understanding of oceanographic processes
Cited by: 25
Author(s): Moritz S. Schmid, Robert K. Cowen, Kelly L. Robinson, Jessica Y. Luo, Christian Briseño‐Avena, Su Sponaugle
Software Mentions: 3
Published: almost 5 years ago

10.1007/s00268-018-4670-2

Electronic Voting to Improve Morbidity and Mortality Conferences
Cited by: 1
Author(s): Joël Zindel, Reto Kaderli, Manuel O. Jakob, Michel Dosch, Franziska Tschan, Daniel Candinas, Guido Beldi
Software Mentions: 2
Published: over 6 years ago