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: GPyOpt

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

The Bayesian Optimization Toolbox
10 versions
Latest release: over 4 years ago
4 dependent packages
7,312 downloads last month

Papers Mentioning GPyOpt 11

10.1038/s41598-018-29523-2

Prognostication and Risk Factors for Cystic Fibrosis via Automated Machine Learning
Cited by: 46
Author(s): Ahmed M. Alaa, Mihaela van der Schaar
Software Mentions: 8
Published: over 6 years ago

Regional mapping of species‐level continuous foliar cover: beyond categorical vegetation mapping
Cited by: 5
Author(s): Timm Nawrocki, Matthew L. Carlson, Jeanne L. D. Osnas, E. Jamie Trammell, Frank D. W. Witmer
Software Mentions: 4
Published: almost 5 years ago

10.1371/journal.pone.0222907

A comparison of machine learning algorithms for the surveillance of autism spectrum disorder
Cited by: 18
Author(s): Scott H. Lee, Matthew J. Maenner, Charles M. Heilig
Software Mentions: 4
Published: about 5 years ago

10.1186/s13321-019-0354-7

Bayesian optimization for conformer generation
Cited by: 34
Author(s): Lucian Chan, Geoffrey Hutchison, Garrett M. Morris
Software Mentions: 3
Published: over 5 years ago

10.1186/s13321-020-00435-6

kGCN: a graph-based deep learning framework for chemical structures
Cited by: 49
Author(s): Ryosuke Kojima, Shoichi Ishida, Masateru Ohta, Hiroaki Iwata, Teruki Honma, Yasushi Okuno
Software Mentions: 2
Published: over 4 years ago

10.1038/s41598-020-71856-4

Bayesian optimisation of restriction zones for bluetongue control
Cited by: 3
Author(s): Thomas Spooner, Anne E Jones, John Fearnley, Rahul Savani, Joanne Turner, Matthew Baylis
Software Mentions: 2
Published: over 4 years ago

10.1186/s13321-019-0407-y

Building attention and edge message passing neural networks for bioactivity and physical–chemical property prediction
Cited by: 101
Author(s): Michael Withnall, Edvard Lindelöf, Ola Engkvist, Hongming Chen
Software Mentions: 2
Published: almost 5 years ago

10.3390/molecules25112715

The Role of Structural Representation in the Performance of a Deep Neural Network for X-ray Spectroscopy
Cited by: 12
Author(s): Marwah M. M. Madkhali, Conor D. Rankine, Thomas J. Penfold
Software Mentions: 2
Published: over 4 years ago

10.1080/14686996.2019.1673670

Prediction and optimization of epoxy adhesive strength from a small dataset through active learning
Cited by: 50
Author(s): Sirawit Pruksawan, G. Lambard, Sadaki Samitsu, Keitaro Sodeyama, Masanobu Naito
Software Mentions: 1
Published: about 5 years ago

10.1002/minf.201700123

Application of Generative Autoencoder in <i>De Novo</i> Molecular Design
Cited by: 268
Author(s): Thomas Blaschke, Marcus Olivecrona, Ola Engkvist, Jürgen Bajorath, Hongming Chen
Software Mentions: 1
Published: about 7 years ago

10.3390/molecules25215176

A Review of Density Functional Models for the Description of Fe(II) Spin-Crossover Complexes
Cited by: 8
Author(s): Anton Römer, Lukas Hasecke, Peter E. Blöchl, Ricardo A. Mata
Software Mentions: 1
Published: about 4 years ago