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: hyperopt

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

Distributed Asynchronous Hyperparameter Optimization
13 versions
Latest release: almost 3 years ago
110 dependent packages
2,124,623 downloads last month

Papers Mentioning hyperopt 34

10.1371/journal.pcbi.1008982
Predicting mean ribosome load for 5’UTR of any length using deep learning
Cited by: 14
Author(s): Alexander Karollus, Žiga Avsec, Julien Gagneur
Software Mentions: 9
Published: over 3 years ago
10.3390/nu11123045
Nutrient Estimation from 24-Hour Food Recalls Using Machine Learning and Database Mapping: A Case Study with Lactose
Cited by: 20
Author(s): Elizabeth Chin, Gabriel Simmons, Yasmine Bouzid, Annie Kan, D. D. Burnett, Ilias Tagkopoulos, Danielle G. Lemay
Software Mentions: 7
Published: almost 5 years ago
10.1186/s12859-019-2969-0
Exploring the druggable space around the Fanconi anemia pathway using machine learning and mechanistic models
Cited by: 24
Author(s): Marina Esteban-Medina, María Peña‐Chilet, Carlos Loucera, Joaquı́n Dopazo
Software Mentions: 5
Published: over 5 years ago
10.1093/bioinformatics/btx727
Modeling positional effects of regulatory sequences with spline transformations increases prediction accuracy of deep neural networks
Cited by: 31
Author(s): Žiga Avsec, Mohammadamin Barekatain, Jianghua Cheng
Software Mentions: 5
Published: almost 7 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/fneur.2021.649521
Prediction of 30-Day Readmission After Stroke Using Machine Learning and Natural Language Processing
Cited by: 16
Author(s): Christina Lineback, Ravi Prakash Garg, Elissa Oh, Andrew M. Naidech, Jane L. Holl, Shyam Prabhakaran
Software Mentions: 5
Published: over 3 years ago
10.18632/oncotarget.23748
Use of deep neural network ensembles to identify embryonic-fetal transition markers: repression of <i>COX7A1</i> in embryonic and cancer cells
Cited by: 27
Author(s): Michael West, Ivan Labat, Hal Sternberg, Dana Larocca, Igor O. Nasonkin, Karen Chapman, Ratnesh Singh, Eugene Makarev, Alex Aliper, Andrey Kazennov, Andrey Alekseenko, Nikolai Shuvalov, Evgenia Cheskidova, Aleksandr Alekseev, Artemov Av, Evgeny Putin, Polina Mamoshina, Nikita Pryanichnikov, Jacob Larocca, Karen A. F. Copeland, Evgeny Izumchenko, Mikhail Korzinkin, Alex Zhavoronkov
Software Mentions: 5
Published: almost 7 years ago
10.1371/journal.pone.0232609
The two types of society: Computationally revealing recurrent social formations and their evolutionary trajectories
Cited by: 3
Author(s): Lux Miranda, Jacob Freeman
Software Mentions: 4
Published: over 4 years ago
10.1371/journal.pcbi.1006484
Prediction of gene regulatory enhancers across species reveals evolutionarily conserved sequence properties
Cited by: 68
Author(s): Ling Chen, Alexandra E. Fish, John A. Capra
Software Mentions: 4
Published: about 6 years ago
10.1186/s13059-019-1653-z
MMSplice: modular modeling improves the predictions of genetic variant effects on splicing
Cited by: 122
Author(s): Jianghua Cheng, Thi Yen Duong Nguyen, Kamil J. Cygan, Muhammed Hasan Çelik, William G. Fairbrother, Žiga Avsec
Software Mentions: 3
Published: over 5 years ago
10.1186/s12859-019-3165-y
The assessment of efficient representation of drug features using deep learning for drug repositioning
Cited by: 15
Author(s): Mahroo Moridi, Marzieh Ghadirinia, Ali Sharifi‐Zarchi, Fatemeh Zare-Mirakabad
Software Mentions: 3
Published: almost 5 years ago
10.1007/s12559-017-9536-7
Evaluating Integration Strategies for Visuo-Haptic Object Recognition
Cited by: 12
Author(s): Sibel Toprak, Nicolás Navarro-Guerrero, Stefan Wermter
Software Mentions: 3
Published: almost 7 years ago
10.3389/fcell.2020.594587
DeepCSO: A Deep-Learning Network Approach to Predicting Cysteine S-Sulphenylation Sites
Cited by: 16
Author(s): Xiaru Lyu, Shuhao Li, Chunyang Jiang, Ningning He, Zhe Chen, Yang Zou, Lei Li
Software Mentions: 3
Published: almost 4 years ago
10.1186/s13059-021-02273-7
MTSplice predicts effects of genetic variants on tissue-specific splicing
Cited by: 21
Author(s): Jianghua Cheng, Muhammed Hasan Çelik, Anshul Kundaje, Julien Gagneur
Software Mentions: 3
Published: over 3 years ago
10.1186/s13321-021-00486-3
ASFP (Artificial Intelligence based Scoring Function Platform): a web server for the development of customized scoring functions
Cited by: 8
Author(s): Xujun Zhang, Chao Shen, Xueying Guo, Zhe Wang, Gaoqi Weng, Qing Ye, Gaoang Wang, Qiaojun He, Bo Yang, Dong‐Sheng Cao, Tingjun Hou
Software Mentions: 3
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
10.1002/jrsm.1287
Machine learning for identifying Randomized Controlled Trials: An evaluation and practitioner's guide
Cited by: 243
Author(s): Iain J. Marshall, Anna Noel-Storr, Joël Kuiper, James Thomas, Byron C. Wallace
Software Mentions: 3
Published: almost 7 years ago
10.1038/s41598-019-56527-3
Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data
Cited by: 123
Author(s): Aleksei Tiulpin, Stefan Klein, Sita M A Bierma-Zeinstra, Jérôme Thevenot, Esa Rahtu, Joyce B. J. van Meurs, Edwin H.G. Oei, Simo Saarakkala
Software Mentions: 3
Published: almost 5 years ago
10.1007/s41061-021-00339-5
MLatom 2: An Integrative Platform for Atomistic Machine Learning
Cited by: 35
Author(s): Pavlo O. Dral, Fuchun Ge, Bao-Xin Xue, Yifan Hou, Max Pinheiro, Jianxing Huang, Mario Barbatti
Software Mentions: 2
Published: over 3 years ago
10.1371/journal.pone.0251329
Mixed-precision weights network for field-programmable gate array
Cited by: 1
Author(s): Ninnart Fuengfusin, Hakaru Tamukoh
Software Mentions: 2
Published: over 3 years ago
10.1186/s12911-018-0620-z
A machine learning model to predict the risk of 30-day readmissions in patients with heart failure: a retrospective analysis of electronic medical records data
Cited by: 156
Author(s): Sara Golas, Takuma Shibahara, Stephen Agboola, Hiroko Otaki, Jumpei Sato, Tatsuya Nakae, Toru Hisamitsu, Go Kojima, Jennifer Felsted, Sujay Kakarmath, Joseph C. Kvedar, Kamal Jethwani
Software Mentions: 2
Published: over 6 years ago
10.1371/journal.pone.0247784
Personalized prediction of early childhood asthma persistence: A machine learning approach
Cited by: 18
Author(s): Saurav Bose, Chén C. Kenyon, Aaron J. Masino
Software Mentions: 2
Published: over 3 years ago
10.3390/s20164512
A Random Forest-Based Accuracy Prediction Model for Augmented Biofeedback in a Precision Shooting Training System
Cited by: 0
Author(s): Junqi Guo, Yang Lan, Anton Umek, Rongfang Bie, Sašo Tomažič, Anton Kos
Software Mentions: 2
Published: about 4 years ago
10.3390/s21051902
Smartwatch-Based Eating Detection: Data Selection for Machine Learning from Imbalanced Data with Imperfect Labels
Cited by: 11
Author(s): Simon Stankoski, Marko Jordan, Hristijan Gjoreski, Mitja Luštrek
Software Mentions: 2
Published: over 3 years ago
10.3390/s21093243
Smartphone-Based Activity Recognition in a Pedestrian Navigation Context
Cited by: 3
Author(s): Robert Jackermeier, Bernd Ludwig
Software Mentions: 2
Published: over 3 years ago
10.12688/gatesopenres.13031.2
The Cascade Analysis Tool: software to analyze and optimize care cascades
Cited by: 3
Author(s): David J. Kedziora, Romesh Abeysuriya, Cliff C. Kerr, George L. Chadderdon, Vlad-Ștefan Harbuz, Sarah Metzger, David Wilson, Robyn M. Stuart
Software Mentions: 1
Published: almost 5 years ago
10.2196/27709
A Machine Learning Approach to Passively Informed Prediction of Mental Health Risk in People with Diabetes: Retrospective Case-Control Analysis
Cited by: 3
Author(s): Jessica Yu, Carter Chiu, Yajuan Wang, Eldin Dzubur, Wei Lü, Julia E. Hoffman
Software Mentions: 1
Published: about 3 years ago
10.1186/s40679-018-0055-8
Deep data analysis via physically constrained linear unmixing: universal framework, domain examples, and a community-wide platform
Cited by: 47
Author(s): Ramakrishnan Kannan, Anton V. Ievlev, Nouamane Laanait, Maxim Ziatdinov, Rama K. Vasudevan, Stephen Jesse, SV Kalinin
Software Mentions: 1
Published: over 6 years ago
10.2196/26211
Machine Learning Applied to Clinical Laboratory Data in Spain for COVID-19 Outcome Prediction: Model Development and Validation
Cited by: 22
Author(s): Juan L. Domínguez-Olmedo, Álvaro Gragera-Martínez, Jacinto Mata, Victoria Pachón
Software Mentions: 1
Published: over 3 years ago
10.1038/s41598-021-96838-y
Quantitative analysis of metastatic breast cancer in mice using deep learning on cryo-image data
Cited by: 6
Author(s): Yiqiao Liu, Madhusudhana Gargesha, Mohammed Q. Qutaish, Zhuxian Zhou, Peter Qiao, Lu Zhang, David L. Wilson
Software Mentions: 1
Published: about 3 years ago
10.1186/s40668-020-00034-6
Machine learning applied to simulations of collisions between rotating, differentiated planets
Cited by: 11
Author(s): Miles L. Timpe, Maria Han Veiga, Mischa Knabenhans, Joachim Stadel, Stefano Marelli
Software Mentions: 1
Published: almost 4 years ago
10.3390/ijerph18041634
Measuring Activities of Daily Living in Stroke Patients with Motion Machine Learning Algorithms: A Pilot Study
Cited by: 19
Author(s): Pin-Wei Chen, Nathan A. Baune, Igor Zwir, Jiayu Wang, Victoria Swamidass, Alex Wong
Software Mentions: 1
Published: almost 4 years ago
10.3389/fgene.2018.00585
Prediction of Drug-Likeness Using Deep Autoencoder Neural Networks
Cited by: 40
Author(s): Qiwan Hu, Mudong Feng, Luhua Lai, Jianfeng Pei
Software Mentions: 1
Published: almost 6 years ago
10.1371/journal.pone.0192011
Ant genera identification using an ensemble of convolutional neural networks
Cited by: 25
Author(s): Alan Caio R. Marques, Marcos M. Raimundo, Ellen Marianne Bernal Cavalheiro, Luis Salles, Christiano Lyra Filho, Fernando J. Von Zuben
Software Mentions: 1
Published: almost 7 years ago