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: catboost

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

CatBoost Python Package
105 versions
Latest release: about 1 year ago
146 dependent packages
2,091,385 downloads last month

Papers Mentioning catboost 9

10.3390/ani11072131
Predicting Subclinical Ketosis in Dairy Cows Using Machine Learning Techniques
Cited by: 7
Author(s): Alicja Satoła, Edyta Bauer
Software Mentions: 12
Published: over 3 years ago
10.3390/jpm10030096
Prediction of Coronary Artery Calcium Score Using Machine Learning in a Healthy Population
Cited by: 7
Author(s): Jong-Seok Lee, Jae Sung Lim, Younggi Chu, Changhee Lee, Ohk Hyun Ryu, Hyun-Soo Choi, Yongsoon Park, Chul‐Ho Kim
Software Mentions: 6
Published: over 4 years ago
10.1371/journal.pone.0246464
Is it feasible to detect FLOSS version release events from textual messages? A case study on Stack Overflow
Cited by: 0
Author(s): Artur Sokolovsky, Thomas Groß, Jaume Bacardit
Software Mentions: 6
Published: almost 4 years ago
10.3390/diagnostics11091686
Radiomics and Machine Learning Can Differentiate Transient Osteoporosis from Avascular Necrosis of the Hip
Cited by: 15
Author(s): Michail E. Klontzas, Georgios C. Manikis, Katerina Nikiforaki, Evangelia E. Vassalou, Konstantinos Spanakis, Ioannis Stathis, George A. Kakkos, Nikolas Matthaiou, Aristeidis Zibis, Kostas Marias, Apostolos H. Karantanas
Software Mentions: 6
Published: about 3 years ago
10.1186/s40537-020-00369-8
CatBoost for big data: an interdisciplinary review
Cited by: 258
Author(s): John Hancock, Taghi M. Khoshgoftaar
Software Mentions: 6
Published: about 4 years ago
10.1038/s41598-020-60932-4
An empirical comparison of neural networks and machine learning algorithms for EEG gait decoding
Cited by: 44
Author(s): Sho Nakagome, Trieu Phat Luu, Yongtian He, Akshay Sujatha Ravindran, José L. Contreras-Vidal
Software Mentions: 5
Published: over 4 years ago
10.26508/lsa.201800098
An integrative machine learning approach for prediction of toxicity-related drug safety
Cited by: 38
Author(s): Artem Lysenko, Alok Sharma, Keith A. Boroevich, Tatsuhiko Tsunoda
Software Mentions: 4
Published: almost 6 years ago
10.3390/jcm10194393
Clinical Predictors of Prolonged Hospital Stay in Patients with Myasthenia Gravis: A Study Using Machine Learning Algorithms
Cited by: 10
Author(s): Che-Cheng Chang, Jiann‐Horng Yeh, Yeng Chen, Mao-Jhen Jhou, Chi-Jie Lu
Software Mentions: 3
Published: about 3 years ago
10.1186/s12887-021-02788-9
Neonatal mortality prediction with routinely collected data: a machine learning approach
Cited by: 8
Author(s): André F. M. Batista, Carmen Simone Grilo Diniz, Eliana A. Bonilha, Ichiro Kawachi, Alexandre Dias Porto Chiavegatto Filho
Software Mentions: 1
Published: over 3 years ago