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: shap

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

A unified approach to explain the output of any machine learning model.
98 versions
Latest release: 12 months ago
203 dependent packages
7,339,538 downloads last month

Papers Mentioning shap 13

Non-linear dimensionality reduction on extracellular waveforms reveals cell type diversity in premotor cortex
Cited by: 27
Author(s): Eric Lee, Hymavathy Balasubramanian, Alexandra Tsolias, Stephanie Udochukwu Anakwe, Maria Medalla, Krishna V. Shenoy, Chandramouli Chandrasekaran
Software Mentions: 10
Published: about 3 years ago

10.1007/978-3-030-61527-7_24

Explaining Sentiment Classification with Synthetic Exemplars and Counter-Exemplars
Cited by: 11
Author(s): Orestis Lampridis, Riccardo Guidotti, Salvatore Ruggieri
Software Mentions: 9
Published: over 4 years ago

10.3390/genes10100778

DNA Methylation Markers for Pan-Cancer Prediction by Deep Learning
Cited by: 48
Author(s): Biao Liu, Yulu Liu, Xingxin Pan, Mengyao Li, Shuang Yang, Shuai Cheng Li
Software Mentions: 7
Published: almost 5 years ago

10.1186/s12933-019-0879-0

Machine-learning to stratify diabetic patients using novel cardiac biomarkers and integrative genomics
Cited by: 45
Author(s): Quincy A. Hathaway, Skyler M. Roth, Mark V. Pinti, Daniel C. Sprando, Amina Kunovac, Andrya J. Durr, Chris C. Cook, Garrett K. Fink, Tristen B. Cheuvront, Jasmine H. Grossman, Ghadah A. Aljahli, Andrew Taylor, Andrew Giromini, Jessica L. Allen, John M. Hollander
Software Mentions: 6
Published: over 5 years ago

10.2196/13822

Detecting Developmental Delay and Autism Through Machine Learning Models Using Home Videos of Bangladeshi Children: Development and Validation Study
Cited by: 76
Author(s): Qandeel Tariq, Scott L. Fleming, Jessey Schwartz, Kaitlyn Dunlap, Conor K. Corbin, Peter Washington, Haik Kalantarian, Naila Zaman Khan, Gary L. Darmstadt, Dennis P. Wall
Software Mentions: 5
Published: over 5 years ago

10.3389/fonc.2021.604584

Analysis of Gut Microbiome Using Explainable Machine Learning Predicts Risk of Diarrhea Associated With Tyrosine Kinase Inhibitor Neratinib: A Pilot Study
Cited by: 13
Author(s): Chi Wah Wong, Susan E. Yost, Jin Sung Lee, John D. Gillece, Megan Folkerts, Lauren Reining, Sarah K. Highlander, Zahra Eftekhari, Joanne Mortimer, Yuan Yuan
Software Mentions: 5
Published: over 3 years ago

10.1002/advs.201903392

Immune Modulation by Design: Using Topography to Control Human Monocyte Attachment and Macrophage Differentiation
Cited by: 85
Author(s): Matthew Vassey, Grazziela P. Figueredo, David J. Scurr, Aliaksei Vasilevich, Steven Vermeulen, Aurélie Carlier, Jeni Luckett, Nick R. M. Beijer, Paul Williams, David A. Winkler, Jan de Boer, Amir M. Ghaemmaghami, Morgan R. Alexander
Software Mentions: 5
Published: over 4 years ago

10.2196/19069

Multidimensional Machine Learning Personalized Prognostic Model in an Early Invasive Breast Cancer Population-Based Cohort in China: Algorithm Validation Study
Cited by: 8
Author(s): Xiaorong Zhong, Ting Luo, Ling Deng, Pei Liu, Kejia Hu, Donghao Lü, Dan Zheng, Chunying Luo, Yuxin Xie, Jiayuan Li, Ping He, Tianjie Pu, Feng Ye, Hong Bu, Bo Fu, Hong Zheng
Software Mentions: 4
Published: almost 4 years ago

10.1186/s13321-020-00479-8

Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models
Cited by: 178
Author(s): Dejun Jiang, Zhenxing Wu, Chang‐Yu Hsieh, Guangyong Chen, Ben Liao, Zhe Wang, Chao Shen, Dong‐Sheng Cao, Jian Wu, Tingjun Hou
Software Mentions: 3
Published: over 3 years ago

10.1038/s41598-021-94275-5

Discovery of novel Li SSE and anode coatings using interpretable machine learning and high-throughput multi-property screening
Cited by: 13
Author(s): Shreyas Honrao, Xin Yang, Balachandran Radhakrishnan, Shigemasa Kuwata, Hideyuki Komatsu, Atsushi Ohma, Maarten Sierhuis, John W. Lawson
Software Mentions: 2
Published: about 3 years ago

10.1186/s13054-021-03505-9

Predicting neurological outcome after out-of-hospital cardiac arrest with cumulative information; development and internal validation of an artificial neural network algorithm
Cited by: 21
Author(s): Peder Andersson, Jesper Johnsson, Ola Björnsson, Tobias Cronberg, Christian Hassager, Henrik Zetterberg, Pascal Stammet, Johan Undén, Jesper Kjærgaard, Hans Friberg, Kaj Blennow, Gisela Lilja, Matt P. Wise, Josef Dankiewicz, Niklas Nielsen, Attila Frigyesi
Software Mentions: 2
Published: over 3 years ago

10.36834/cmej.69289

Fundamental trends within falling match rates: insights from the past decade of Canadian residency matching data
Cited by: 3
Author(s): Andy G.X. Zeng, Connor T. A. Brenna, Silvio Ndoja
Software Mentions: 2
Published: over 4 years ago

10.3390/cancers13010057

Interpretable Machine Learning Model for Locoregional Relapse Prediction in Oropharyngeal Cancers
Cited by: 12
Author(s): P Giraud, P. Giraud, Eliot Nicolas, P. Boisselier, M. Alfonsi, M. Rives, É. Bardet, Valentin Calugaru, Georges Noël, É. Chajon, P. Pommier, Magali Morelle, Lionel Perrier, X. Liem, Anita Burgun, Jean‐Emmanuel Bibault
Software Mentions: 1
Published: over 3 years ago