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: optuna

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

A hyperparameter optimization framework
59 versions
Latest release: about 1 year ago
266 dependent packages
2,046,074 downloads last month

Papers Mentioning optuna 5

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
10.1371/journal.pcbi.1009183
COVIDomic: A multi-modal cloud-based platform for identification of risk factors associated with COVID-19 severity
Cited by: 5
Author(s): В. А. Наумов, Evgeny Putin, Stefan Pushkov, E. Kozlova, Konstantin Romantsov, Alexander Kalashnikov, Fedor Galkin, Nina Tihonova, Anastasia Shneyderman, Egor Galkin, Arsenii Zinkevich, Stephanie M. Cope, Ramanathan Sethuraman, Tudor I. Oprea, Alexander T. Pearson, Savaş Tay, Nishant Agrawal, Alexey Dubovenko, Quentin Vanhaelen, Ivan V. Ozerov, Alex Aliper, Evgeny Izumchenko, Alex Zhavoronkov
Software Mentions: 4
Published: over 3 years ago
10.1038/s41598-021-83922-6
Explainable AI reveals changes in skin microbiome composition linked to phenotypic differences
Cited by: 47
Author(s): Anna Paola Carrieri, Niina Haiminen, Sean Maudsley-Barton, Laura‐Jayne Gardiner, Barry Murphy, Andrew E. Mayes, Sarah Paterson, Sally Grimshaw, Martyn Winn, Cameron Shand, Panagiotis E. Hadjidoukas, Will Rowe, Stacy S. Hawkins, Ashley MacGuire-Flanagan, Jane Tazzioli, John Kenny, Laxmi Parida, Michael Hoptroff, Edward O. Pyzer‐Knapp
Software Mentions: 4
Published: over 3 years ago
10.3390/molecules26154475
Prediction of Molecular Properties Using Molecular Topographic Map
Cited by: 8
Author(s): Atsushi Yoshimori
Software Mentions: 3
Published: over 3 years ago
10.3390/s21093071
From the Laboratory to the Field: IMU-Based Shot and Pass Detection in Football Training and Game Scenarios Using Deep Learning
Cited by: 17
Author(s): Maike Stoeve, Dominik Schuldhaus, Axel Gamp, Constantin Zwick, Bjoern M. Eskofier
Software Mentions: 3
Published: over 3 years ago