Projects: pypi: scikit-learn
https://packages.ecosyste.ms/registries/pypi.org/packages/scikit-learn
A set of python modules for machine learning and data mining
72 versions
Latest release: almost 3 years ago
5,918 dependent packages
43,777,417 downloads last month
Enhanced Analysis
Educational Contributors:
a.joly@ulg.ac.be
vanderplas@astro.washington.edu
bh00038@cvplws63.eps.surrey.ac.uk
ha258@cornell.edu
satra@mit.edu
zl2480@columbia.edu
pinto@alum.mit.edu
jz4721@nyu.edu
matteo.visconti.gr@dartmouth.edu
vighneshbirodkar@nyu.edu
robert.l.marchman@dartmouth.edu
rs2715@stern.nyu.edu
claire.savard@colorado.edu
aaaagrawal@iitb.ac.in
ihaque@cs.stanford.edu
rspeer@mit.edu
mluessi@nmr.mgh.harvard.edu
amitibo@tx.technion.ac.il
ericchang2017@u.northwestern.edu
jkarno@seas.upenn.edu
minghui.liu@trincoll.edu
m.lyra@sussex.ac.uk
andrew.knyazev@ucdenver.edu
lamb@cs.stanford.edu
camilo@neurostat.mit.edu
martino.sorbaro@ed.ac.uk
t.sheerman-chase@surrey.ac.uk
cgohlke@uci.edu
batulaa@drexel.edu
kcarnold@alum.mit.edu
apw@seas.harvard.edu
abie@alum.mit.edu
rossbar@berkeley.edu
alceballosa@unal.edu.co
fhoang7@berkeley.edu
hechen@seas.upenn.edu
stefan@sun.ac.za
deepyaman.datta@utexas.edu
rebekah.kim@columbia.edu
shubham.bhardwaj2015@vit.ac.in
slama@berkeley.edu
nisingh@wharton.upenn.edu
kanikas3@vt.edu
jdlabal@stanford.edu
kjells@uw.edu
markus.loning.17@ucl.ac.uk
k_nzw@klis.tsukuba.ac.jp
dkirkby@uci.edu
balawson@bu.edu
c.brummitt@columbia.edu
choo8@illinois.edu
giorgio.patrini@anu.edu.au
shangwuy@andrew.cmu.edu
rafael.possas@sydney.edu.au
olsonran@msu.edu
brian.mcfee@nyu.edu
naj273@nyu.edu
dgrusak@trinity.edu
emd222@cornell.edu
voth0@sewanee.edu
trishnendu.dd2014@cs.iiests.ac.in
apeng@berkeley.edu
boucher@cs.umass.edu
lunt@ctbp.ucsd.edu
bakhbari@mgh.harvard.edu
piraka@brandeis.edu
neal.lathia@cl.cam.ac.uk
razhoshia@post.bgu.ac.il
michal.romaniuk06@ic.ac.uk
m.batchkarov@sussex.ac.uk
lemin@cs.colostate.edu
rudvlf0413@korea.ac.kr
vredev16@msu.edu
raschkas@msu.edu
ali.baharev@univie.ac.at
a.krasoulis@sms.ed.ac.uk
arokem@berkeley.edu
gabrielvr@al.insper.edu.br
eric.sanchez1234@email.bakersfieldcollege.edu
fcchou@stanford.edu
rofuyu@cs.utexas.edu
glemaitre@visor.udg.edu
naoyaiijima@hiroshima-u.ac.jp
ayushgup@iitk.ac.in
joel@vlan-2666-10-17-16-173.staff.wireless.sydney.edu.au
jam7w2@mail.missouri.edu
j.hale09@imperial.ac.uk
tw991@nyu.edu
patel_zeel@iitgn.ac.in
vincent.lostanlen@nyu.edu
stvjc@channing.harvard.edu
ritchieng@u.nus.edu
bansalsi@usc.edu
rbarnes@umn.edu
rrohan@cs.cmu.edu
liutong.zhou@columbia.edu
mdh386@nyu.edu
mlf419@nyu.edu
shreyave@usc.edu
jin.siy@northeastern.edu
samuel_ainsworth@brown.edu
cwijes1@lsu.edu
wadawson@ucdavis.edu
xinyuliu@umich.edu
rz258@cornell.edu
daniel.mallia21@myhunter.cuny.edu
argriffi@ncsu.edu
filipj@umich.edu
kms15@case.edu
sam.dixon@berkeley.edu
khong008@e.ntu.edu.sg
jnelso11@gmu.edu
jclawton@umich.edu
jaehyunahn@sogang.ac.kr
ijpulidos@unal.edu.co
gstupp@scripps.edu
justhube@umich.edu
noamkeidar@campus.technion.ac.il
nityamd@nyu.edu
css459@nyu.edu
alyee@ucsd.edu
andersk@mit.edu
dhanus@mit.edu
coreylevinson@uchicago.edu
cailean.carter@quadram.ac.uk
bral4884@colorado.edu
dschult@colgate.edu
dpwe@ee.columbia.edu
dylan.cashman@tufts.edu
pawelsendyk@berkeley.edu
qzhang90@gatech.edu
mhaberla@calpoly.edu
saketk@student.unimelb.edu.au
eunjikim@dm.snu.ac.kr
erinrhof@uw.edu
ksivaman@purdue.edu
garmstrong@ucsd.edu
konstantin.shmelkov@polytechnique.edu
e175774@ie.u-ryukyu.ac.jp
hermidal@cs.umd.edu
jbearer@hmc.edu
jmarin@csail.mit.edu
Repository Activity:
Repository Owner:
scikit-learn (organization)
Repositories related to the scikit-learn Python machine learning library. Academic
Repositories related to the scikit-learn Python machine learning library. Academic
README Analysis:
Science Score: 100/100
Starting Score: 100 points
Bonuses:
-
+2840
Educational commit emails
142 contributors with educational email addresses -
+20
Academic repository owner
Repository owned by academic institution -
+15
Institutional repository owner
Repository owned by research institution -
+6
Science terms in README
3 scientific terms found in README
Penalties:
-
-10
PyPI ecosystem
General-purpose ecosystem
Very Likely Science (100)
Papers Mentioning scikit-learn 2,431
10.3389/fneur.2021.653483
The Subarachnoid Hemorrhage–Weather Myth: A Long-Term Big Data and Deep Learning AnalysisCited by: 1
Author(s): Moritz Helsper, Aashish Agarwal, Ahmet Aker, Annika Herten, Marvin Darkwah-Oppong, Oliver Gembruch, Cornelius Deuschl, Michael Forsting, Philipp Dammann, Daniela Pierscianek, Ramazan Jabbarli, Ulrich Sure, Karsten H. Wrede
Software Mentions: 1
Published: over 5 years ago
10.3389/fneur.2020.538052
Prediction of Clinical Outcome at Discharge After Rupture of Anterior Communicating Artery Aneurysm Using the Random Forest TechniqueCited by: 8
Author(s): Nengzhi Xia, Jie Chen, Chenyi Zhan, Xiaoyang Jia, Yingying Xiang, Yongchun Chen, Yuxia Duan, Lan Li, Boli Lin, Chao Chen, Bing Zhao, Xiaoyu Chen, Yunjun Yang, Jinjin Liu
Software Mentions: 1
Published: almost 6 years ago
10.3389/fneur.2018.00975
Identification of Mild Cognitive Impairment From Speech in Swedish Using Deep Sequential Neural NetworksCited by: 35
Author(s): Charalambos Themistocleous, Marie Eckerström, Dimitrios Kokkinakis
Software Mentions: 1
Published: almost 8 years ago
10.3389/fneur.2019.01173
Quantifying the Metabolic Signature of Multiple Sclerosis by in vivo Proton Magnetic Resonance Spectroscopy: Current Challenges and Future Outlook in the Translation From Proton Signal to Diagnostic BiomarkerCited by: 35
Author(s): Kelley M. Swanberg, Karl Landheer, David Pitt, Christoph Juchem
Software Mentions: 1
Published: almost 7 years ago
10.3389/fnbot.2021.704226
A Novel sEMG-Based Gait Phase-Kinematics-Coupled Predictor and Its Interaction With ExoskeletonsCited by: 3
Author(s): Baichun Wei, Zhen Ding, Chunzhi Yi, Hao Guo, Zhipeng Wang, Jianfei Zhu, Feng Jiang
Software Mentions: 1
Published: about 5 years ago
10.3389/fnbot.2021.659311
Toward More Robust Hand Gesture Recognition on EIT DataCited by: 5
Author(s): David P. Leins, Christian Gibas, Rainer Brück, Robert Haschke
Software Mentions: 1
Published: about 5 years ago
10.3389/fnins.2021.697870
Autism Spectrum Disorder Studies Using fMRI Data and Machine Learning: A ReviewCited by: 19
Author(s): Meijie Liu, Baojuan Li, Dewen Hu
Software Mentions: 1
Published: about 5 years ago
10.3389/fnins.2021.611962
Adaptive Filtering for Improved EEG-Based Mental Workload Assessment of Ambulant UsersCited by: 19
Author(s): Olivier Rosanne, Isabela Albuquerque, Raymundo Cassani, Jean‐François Gagnon, Sébastien Tremblay, Tiago H. Falk
Software Mentions: 1
Published: over 5 years ago
10.3389/fnins.2021.669595
Predicting Brain Amyloid Using Multivariate Morphometry Statistics, Sparse Coding, and Correntropy: Validation in 1,101 Individuals From the ADNI and OASIS DatabasesCited by: 13
Author(s): Jianfeng Wu, Qunxi Dong, Jie Gui, Jie Zhang, Yi Su, Kewei Chen, Paul M. Thompson, Richard J. Caselli, Eric M. Reiman, Jieping Ye, Yalin Wang
Software Mentions: 1
Published: about 5 years ago
10.3389/fnins.2019.01023
Investigating the Effects of Mechanical Stimulation on Retinal Ganglion Cell Spontaneous Spiking ActivityCited by: 10
Author(s): Marica Marrese, Davide Lonardoni, Fabio Boi, Hedde van Hoorn, Alessandro Maccione, Stefano Zordan, Davide Iannuzzi, Luca Berdondini
Software Mentions: 1
Published: almost 7 years ago
10.3389/fnins.2015.00328
Identification of resilient individuals and those at risk for performance deficits under stressCited by: 17
Author(s): Brent Winslow, Meredith Carroll, Jonathan W. Martin, Glenn Surpris, George L. Chadderdon
Software Mentions: 1
Published: almost 11 years ago
10.3389/fnins.2014.00167
Which fMRI clustering gives good brain parcellations?Cited by: 248
Author(s): Bertrand Thirion, Gaël Varoquaux, Elvis Dohmatob, Jean‐Baptiste Poline
Software Mentions: 1
Published: about 12 years ago
10.3389/fnins.2020.00593
EEG Channel-Selection Method for Epileptic-Seizure Classification Based on Multi-Objective OptimizationCited by: 45
Author(s): Luis Alfredo Moctezuma, Marta Molinas
Software Mentions: 1
Published: about 6 years ago
10.3389/fnins.2021.661504
Multiparametric MRI for Characterization of the Basal Ganglia and the MidbrainCited by: 4
Author(s): Till Schneider, Jackie Ma, Patrick Wagner, Nicolas G.R. Behl, Armin M. Nagel, Mark E. Ladd, Sabine Heiland, Martin Bendszus
Software Mentions: 1
Published: about 5 years ago
10.3389/fnins.2021.664490
Imaging Time Series of Eye Tracking Data to Classify Attentional StatesCited by: 7
Author(s): Lisa-Marie Vortmann, Jannes Knychalla, Sonja Annerer‐Walcher, Mathias Benedek, Felix Putze
Software Mentions: 1
Published: over 5 years ago
10.3389/fnins.2018.00038
Multivariate Classification of Major Depressive Disorder Using the Effective Connectivity and Functional ConnectivityCited by: 45
Author(s): Xiang-Fei Geng, Junhai Xu, Baolin Liu, Yonggang Shi
Software Mentions: 1
Published: over 8 years ago
10.3389/fnins.2020.588357
Hyperscanning EEG and Classification Based on Riemannian Geometry for Festive and Violent Mental State DiscriminationCited by: 5
Author(s): Cédric Simar, Ana Maria Cebolla, Gaëlle Chartier, Mathieu Petieau, Gianluca Bontempi, Alain Berthoz, Guy Chéron
Software Mentions: 1
Published: over 5 years ago
10.3389/fnins.2020.605697
Machine Learning-Based Identification of Suicidal Risk in Patients With Schizophrenia Using Multi-Level Resting-State fMRI FeaturesCited by: 8
Author(s): Bartosz Bohaterewicz, Anna Maria Sobczak, Igor T. Podolak, Bartosz Wójcik, Dagmara Mętel, Adrian Andrzej Chrobak, Magdalena Fa Frowicz, Marcin Siwek, Dominika Dudek, Tadeusz Marek
Software Mentions: 1
Published: over 5 years ago
10.3389/fnins.2019.00891
Effect of User Practice on Prosthetic Finger Control With an Intuitive Myoelectric DecoderCited by: 32
Author(s): Agamemnon Krasoulis, Sethu Vijayakumar, Kianoush Nazarpour
Software Mentions: 1
Published: about 7 years ago
10.3389/fnins.2018.00967
Longitudinal Connectomes as a Candidate Progression Marker for Prodromal Parkinson’s DiseaseCited by: 13
Author(s): Óscar Peña‐Nogales, Timothy M. Ellmore, Rodrigo de Luis‐García, Jessika Suescun, Mya C. Schiess, Luca Giancardo
Software Mentions: 1
Published: over 7 years ago
10.3389/fnins.2020.558434
Investigation on the Alteration of Brain Functional Network and Its Role in the Identification of Mild Cognitive ImpairmentCited by: 10
Author(s): Lulu Zhang, Huangjing Ni, Yu Zhang, Jun Wang, Qin Jiang, Fengzhen Hou, Albert C. Yang, Alzheimer’s Disease Neuroimaging Initiative
Software Mentions: 1
Published: almost 6 years ago
10.3389/fonc.2020.585767
Multiregional-Based Magnetic Resonance Imaging Radiomics Combined With Clinical Data Improves Efficacy in Predicting Lymph Node Metastasis of Rectal CancerCited by: 23
Author(s): Xiangchun Liu, Qi Yang, Chunyu Zhang, Jianqing Sun, Kan He, Yunming Xie, Yiying Zhang, Yu Fu, Huimao Zhang
Software Mentions: 1
Published: over 5 years ago
10.3389/fonc.2020.607923
Deep Neural Networks Outperform the CAPRA Score in Predicting Biochemical Recurrence After ProstatectomyCited by: 6
Author(s): P. Sargos, Nicolas Leduc, Nicolas Giraud, Giorgio Gandaglia, M. Roumiguié, Guillaume Ploussard, François Rozet, M. Soulié, Romain Mathiéu, P. Mongiat Artus, Tamim Niazi, Vincent Vinh-Hung, Jean-Baptiste Beauval
Software Mentions: 1
Published: over 5 years ago
10.3389/fonc.2020.01676
Machine Learning-Based Radiomics Predicting Tumor Grades and Expression of Multiple Pathologic Biomarkers in GliomasCited by: 18
Author(s): Min Gao, Siying Huang, Xuequn Pan, Xiangyun Liao, Ru Yang, Jun Liu
Software Mentions: 1
Published: about 6 years ago
10.3389/fonc.2021.642945
Prediction of Target-Drug Therapy by Identifying Gene Mutations in Lung Cancer With Histopathological Stained Image and Deep Learning TechniquesCited by: 6
Author(s): Kaimei Huang, Zhiyi Mo, Wen Zhu, Bo Liao, Yachao Yang, Fang‐Xiang Wu
Software Mentions: 1
Published: over 5 years ago
10.3389/fonc.2020.00937
Radiomics Features Predict CIC Mutation Status in Lower Grade GliomaCited by: 15
Author(s): Luyuan Zhang, Felipe Giuste, Juan C. Vizcarra, Xuejun Li, David Gutman
Software Mentions: 1
Published: about 6 years ago
10.3389/fonc.2020.01186
CT-Based Deep Learning Model for Invasiveness Classification and Micropapillary Pattern Prediction Within Lung AdenocarcinomaCited by: 15
Author(s): Huang Ding, Wenjie Xia, Lei Zhang, Qixing Mao, Bowen Cao, Yihang Zhao, Lin Xu, Feng Jiang, Gaochao Dong
Software Mentions: 1
Published: about 6 years ago
10.3389/fonc.2020.00752
Machine-Learning Classifiers in Discrimination of Lesions Located in the Anterior Skull BaseCited by: 22
Author(s): Yang Zhang, Lan Shang, Chaoyue Chen, Xuelei Ma, Xuejin Ou, Jian Wang, Fan Xia, Jianguo Xu
Software Mentions: 1
Published: over 6 years ago
10.3389/fonc.2021.709137
Prediction of EGFR Mutation Status Based on 18F-FDG PET/CT Imaging Using Deep Learning-Based Model in Lung AdenocarcinomaCited by: 8
Author(s): Guang Yin, Ziyang Wang, Yan Song, Xiaofeng Li, Yiwen Chen, Lihong Zhu, Qian Su, Diansheng Dong, Wengui Xu
Software Mentions: 1
Published: about 5 years ago
10.3389/fonc.2020.608598
Machine Learning for Histologic Subtype Classification of Non-Small Cell Lung Cancer: A Retrospective Multicenter Radiomics StudyCited by: 16
Author(s): Fang Yang, Wei Chen, Haifeng Wei, Xianru Zhang, Shuanghu Yuan, Qiao Xu, Yen‐Wei Chen
Software Mentions: 1
Published: over 5 years ago
10.3389/fonc.2019.01338
The Diagnostic Value of Radiomics-Based Machine Learning in Predicting the Grade of Meningiomas Using Conventional Magnetic Resonance Imaging: A Preliminary StudyCited by: 47
Author(s): Chaoyue Chen, Xinyi Guo, Jian Wang, Wen Guo, Xuelei Ma, Jianguo Xu
Software Mentions: 1
Published: almost 7 years ago
10.3389/fonc.2021.639062
Differentiation of Glioma Mimicking Encephalitis and Encephalitis Using Multiparametric MR-Based Deep LearningCited by: 9
Author(s): Wenli Wu, Jiewen Li, Junyong Ye, Qi Wang, Wentao Zhang, Shengsheng Xu
Software Mentions: 1
Published: over 5 years ago
10.3389/fonc.2021.638262
Development of a Machine Learning Classifier Based on Radiomic Features Extracted From Post-Contrast 3D T1-Weighted MR Images to Distinguish Glioblastoma From Solitary Brain MetastasisCited by: 15
Author(s): Alix de Causans, Alexandre Carré, Alexandre Roux, Arnault Tauziède‐Espariat, Samy Ammari, Edouard Dezamis, Frédéric Dhermain, Sylvain Reuzé, Éric Deutsch, Catherine Oppenheim, Pascale Varlet, Johan Pallud, Myriam Edjlali, Charlotte Robert
Software Mentions: 1
Published: about 5 years ago
10.3389/fped.2020.570834
Comparison of Machine Learning Models for Prediction of Initial Intravenous Immunoglobulin Resistance in Children With Kawasaki DiseaseCited by: 4
Author(s): Yasutaka Kuniyoshi, Haruka Tokutake, Natsuki Takahashi, Azusa Kamura, Sumie Yasuda, M. Tashiro
Software Mentions: 1
Published: almost 6 years ago
10.3389/fphar.2017.00816
Novel Two-Step Classifier for Torsades de Pointes Risk Stratification from Direct FeaturesCited by: 34
Author(s): Jaimit Parikh, Viatcheslav Gurev, John Jeremy Rice
Software Mentions: 1
Published: almost 9 years ago
10.3389/fphar.2018.01036
Identification of Antioxidant Proteins With Deep Learning From Sequence InformationCited by: 12
Author(s): Lifen Shao, Hui Gao, Zhen Liu, Juan Feng, Lixia Tang, Hao Lin
Software Mentions: 1
Published: almost 8 years ago
10.3389/fphar.2019.01570
Chinese Herbal Medicine (MaZiRenWan) Improves Bowel Movement in Functional Constipation Through Down-Regulating OleamideCited by: 9
Author(s): Tao Huang, Ling Zhao, Chengyuan Lin, Lin Lü, Ziwan Ning, Dong-Dong Hu, Linda L. D. Zhong, Zhijun Yang, Zhaoxiang Bian
Software Mentions: 1
Published: over 6 years ago
10.3389/fphar.2020.00069
Predicting or Pretending: Artificial Intelligence for Protein-Ligand Interactions Lack of Sufficiently Large and Unbiased DatasetsCited by: 71
Author(s): Jincai Yang, Cheng Shen, Niu Huang
Software Mentions: 1
Published: over 6 years ago
10.3389/fphar.2019.00913
Identification of Novel Antibacterials Using Machine Learning TechniquesCited by: 27
Author(s): Yan A. Ivanenkov, Alex Zhavoronkov, R. S. Yamidanov, Ilya А. Osterman, Петр В. Сергиев, Vladimir Aladinskiy, Anastasia V. Aladinskaya, Victor A Terentiev, Mark S. Veselov, Andrey A. Ayginin, В. Г. Карцев, Dmitry A. Skvortsov, А. В. Чемерис, Alexey Kh Baimiev, Alina A. Sofronova, Alexander S. Malyshev, Gleb I. Filkov, Dmitry S. Bezrukov, Bogdan Zagribelnyy, Evgeny Putin, Maria M Puchinina, Olga А. Dontsova
Software Mentions: 1
Published: about 7 years ago
10.3389/fphar.2020.00112
EXP2SL: A Machine Learning Framework for Cell-Line-Specific Synthetic Lethality PredictionCited by: 13
Author(s): Fangping Wan, Shuya Li, Tingzhong Tian, Yipin Lei, Dan Zhao, Jianyang Zeng
Software Mentions: 1
Published: over 6 years ago
10.3389/fphys.2020.572874
In silico Comparison of Left Atrial Ablation Techniques That Target the Anatomical, Structural, and Electrical Substrates of Atrial FibrillationCited by: 34
Author(s): Caroline Roney, Marianne Beach, Arihant Mehta, Iain Sim, Cesare Corrado, Rokas Bendikas, José Alonso Solís-Lemus, Orod Razeghi, John Whitaker, Louisa O’Neill, Gernot Plank, Edward J. Vigmond, Steven E. Williams, Mark O’Neill, Steven Niederer
Software Mentions: 1
Published: almost 6 years ago
10.3389/fphys.2021.674106
Toward Patient-Specific Prediction of Ablation Strategies for Atrial Fibrillation Using Deep LearningCited by: 10
Author(s): Marica Muffoletto, Ahmed Qureshi, Aya Mutaz Zeidan, Laila Muizniece, Xiao Fu, Jichao Zhao, Aditi Roy, Paul A. Bates, Oleg Aslanidi
Software Mentions: 1
Published: over 5 years ago
10.3389/fphys.2021.704122
Deep Learning Classification of Unipolar Electrograms in Human Atrial Fibrillation: Application in Focal Source MappingCited by: 7
Author(s): S. Matthew Liao, Don Ragot, Sachin Nayyar, Adrian Suszko, Zhaolei Zhang, Bo Wang, Vijay S. Chauhan
Software Mentions: 1
Published: about 5 years ago
10.3389/fpls.2018.00603
Phenotyping of Arabidopsis Drought Stress Response Using Kinetic Chlorophyll Fluorescence and Multicolor Fluorescence ImagingCited by: 81
Author(s): Jieni Yao, Dawei Sun, Haiyan Cen, Haixia Xu, Haiyong Weng, Fang Yuan, Yong He
Software Mentions: 1
Published: over 8 years ago
10.3389/fpls.2016.01936
A Machine Learning Approach to Predict Gene Regulatory Networks in Seed Development in ArabidopsisCited by: 38
Author(s): Ying Ni, Delasa Aghamirzaie, Haitham Elmarakeby, Eva Collakova, Li Song, Ruth Grene, Lenwood S. Heath
Software Mentions: 1
Published: over 9 years ago
10.3389/fpls.2018.01734
A Pipeline for Classifying Deleterious Coding Mutations in Agricultural PlantsCited by: 7
Author(s): Maxim S. Kovalev, Anna A. Igolkina, Maria Samsonova, Sergey V. Nuzhdin
Software Mentions: 1
Published: almost 8 years ago
10.3389/fpls.2020.590529
Machine Learning Techniques for Soybean Charcoal Rot Disease PredictionCited by: 20
Author(s): Elham Khalili, Samaneh Kouchaki, Shahin Ramazi, Faezeh Ghanati
Software Mentions: 1
Published: almost 6 years ago
10.3389/fpls.2016.01451
Better Than Nothing? Limitations of the Prediction Tool SecretomeP in the Search for Leaderless Secretory Proteins (LSPs) in PlantsCited by: 23
Author(s): Andrew Lonsdale, Melissa J. Davis, Monika S. Doblin, Antony Bacic
Software Mentions: 1
Published: almost 10 years ago
10.3389/fpls.2019.00227
Leaf-Movement-Based Growth Prediction Model Using Optical Flow Analysis and Machine Learning in Plant FactoryCited by: 25
Author(s): Shogo Nagano, Shogo Moriyuki, Kazumasa Wakamori, Hiroshi Mineno, Hirokazu Fukuda
Software Mentions: 1
Published: over 7 years ago
10.3389/fpls.2019.01281
Mapping Aboveground Biomass of Four Typical Vegetation Types in the Poyang Lake Wetlands Based on Random Forest Modelling and Landsat ImagesCited by: 18
Author(s): Rongrong Wan, Peng Wang, Xiaolong Wang, Xing Yao, Xue Dai
Software Mentions: 1
Published: almost 7 years ago
10.1038/s41598-019-54904-6
Deep learning enables pathologist-like scoring of NASH modelsCited by: 55
Author(s): Fabian Heinemann, Gerald Birk, Birgit Stierstorfer
Software Mentions: 1
Published: almost 7 years ago
10.1038/s41598-019-55922-0
Prediction of malignant glioma grades using contrast-enhanced T1-weighted and T2-weighted magnetic resonance images based on a radiomic analysisCited by: 23
Author(s): Takahiro Nakamoto, Wataru Takahashi, Akihiro Haga, Satoshi Takahashi, Shigeru Kiryu, K. Nawa, Takao Ohta, Sho Ozaki, Yuki Nozawa, Shota Tanaka, Akitake Mukasa, Keiichi Nakagawa
Software Mentions: 1
Published: over 6 years ago
10.1038/s41598-019-56863-4
Computational exploration of molecular receptive fields in the olfactory bulb reveals a glomerulus-centric chemical mapCited by: 5
Author(s): Jan Soelter, Jan Schumacher, Hartwig Spors, Michael Schmuker
Software Mentions: 1
Published: over 6 years ago
10.1038/s41598-019-57003-8
The composition of the perinatal intestinal microbiota in horseCited by: 26
Author(s): Aleksi Husso, Jonna Jalanka, Mohammad Alipour, Petra Huhti, Maria Kareskoski, Tiina Pessa‐Morikawa, Antti Iivanainen, Mikael Niku
Software Mentions: 1
Published: over 6 years ago
10.1038/s41598-019-57325-7
The Technome - A Predictive Internal Calibration Approach for Quantitative Imaging Biomarker ResearchCited by: 11
Author(s): Alexander Mühlberg, Alexander Katzmann, Volker Heinemann, Rainer Kärgel, Michael Wels, Oliver Taubmann, Félix Lades, Thomas S. Huber, Stefan Maurus, Julian Walter Holch, J Faivre, Michael Sühling, Dominik Nörenberg, Martine Rémy‐Jardin
Software Mentions: 1
Published: over 6 years ago
10.1038/s41598-020-58074-8
Resting-state connectivity stratifies premanifest Huntington’s disease by longitudinal cognitive decline rateCited by: 12
Author(s): Pablo Polosecki, Eduardo Castro, Irina Rish, Dorian Pustina, John Harley Warner, Amanda G. Wood, Cristina Sampaio, Guillermo A. Cecchi
Software Mentions: 1
Published: over 6 years ago
10.1038/s41598-020-58021-7
Internal short circuit detection in Li-ion batteries using supervised machine learningCited by: 59
Author(s): Arunava Naha, Ashish Khandelwal, Samarth Agarwal, Piyush Tagade, Krishnan S. Hariharan, Anshul Kaushik, Ankit Yadu, Subramanya Mayya Kolake, Sangmin Han, Bookeun Oh
Software Mentions: 1
Published: over 6 years ago
10.1038/s41598-020-59821-7
Optimal Multi-Stage Arrhythmia Classification ApproachCited by: 40
Author(s): Jianmin Zheng, Huimin Chu, Daniele C. Struppa, Jianming Zhang, Sir Magdi Yacoub, Hesham El-Askary, Anthony Chang, Louis Ehwerhemuepha, Islam Abudayyeh, Alexander Barrett, Guohua Fu, Hai Yao, Dongbo Li, Hangyuan Guo, Cyril Rakovski
Software Mentions: 1
Published: over 6 years ago
10.1038/s41598-020-60898-3
Data-Driven Audiogram Classification for Mobile AudiometryCited by: 8
Author(s): François Charih, Matthew Bromwich, Amy E. Mark, Renée Lefrançois, James R. Green
Software Mentions: 1
Published: over 6 years ago
10.1038/s41598-020-60108-0
Author Correction: Small Molecule Accurate Recognition Technology (SMART) to Enhance Natural Products ResearchCited by: 0
Author(s): Chen Zhang, Yerlan Idelbayev, Nicholas Roberts, Yiwen Tao, Yashwanth Nannapaneni, Brendan M. Duggan, Jie Min, Eugene C. Lin, Erik Gerwick, Garrison W. Cottrell, William H. Gerwick
Software Mentions: 1
Published: over 6 years ago
10.1038/s41598-020-61737-1
Congruency and reactivation aid memory integration through reinstatement of prior knowledgeCited by: 20
Author(s): Marlieke T. R. van Kesteren, Paul Rignanese, Pierre G. Gianferrara, Lydia Krabbendam, Martijn Meeter
Software Mentions: 1
Published: over 6 years ago
10.1038/s41598-020-61899-y
Probing and predicting ganglion cell responses to smooth electrical stimulation in healthy and blind mouse retinaCited by: 13
Author(s): Larissa Höfling, Jonathan Oesterle, Philipp Berens, Günther Zeck
Software Mentions: 1
Published: over 6 years ago
10.1038/s41598-020-62342-y
Pilot study of eruption forecasting with muography using convolutional neural networkCited by: 14
Author(s): Yukihiro Nomura, Mitsutaka Nemoto, Naoto Hayashi, Shouhei Hanaoka, Masaki Murata, Tsuneo Yoshikawa, Yoshitaka Masutani, Eriko Maeda, Osamu Abe, Hiroyuki Tanaka
Software Mentions: 1
Published: over 6 years ago
10.1038/s41598-020-62729-x
Predictive Analytics for Retention in Care in an Urban HIV ClinicCited by: 20
Author(s): Arthi Ramachandran, Avishek Kumar, Hannes Koenig, Adolfo De Unánue, Christina Sung, Joe Walsh, John A. Schneider, Rayid Ghani, Jessica P Ridgway
Software Mentions: 1
Published: over 6 years ago
10.1038/s41598-020-64243-6
Identifying task-relevant spectral signatures of perceptual categorization in the human cortexCited by: 2
Author(s): Ilya Kuzovkin, Juan R. Vidal, Marcela Perrone‐Bertolotti, Philippe Kahane, Sylvain Rheims, Jaan Aru, Jean-Philippe Lachaux, Raúl Vicente
Software Mentions: 1
Published: over 6 years ago
10.1038/s41598-020-64912-6
An Automated Segmentation Pipeline for Intratumoural Regions in Animal Xenografts Using Machine Learning and Saturation Transfer MRICited by: 5
Author(s): Wilfred Lam, Wendy Oakden, Ezatollah Karami, Margaret M. Koletar, Leedan Murray, Stanley K. Liu, Ali Sadeghi‐Naini, Greg J. Stanisz
Software Mentions: 1
Published: over 6 years ago
10.1038/s41598-020-66333-x
Weakly-supervised learning for lung carcinoma classification using deep learningCited by: 111
Author(s): Fahdi Kanavati, Gouji Toyokawa, Seiya Momosaki, Michael Rambeau, Yuka Kozuma, Shoji Fukushima, Koji Yamazaki, Sadanori Takeo, Osamu Iizuka, Masayuki Tsuneki
Software Mentions: 1
Published: over 6 years ago
10.1038/s41598-020-66255-8
Prediction of prostate cancer aggressiveness using 18F-Fluciclovine (FACBC) PET and multisequence multiparametric MRICited by: 3
Author(s): Parisa Movahedi, Harri Merisaari, Ileana Montoya Perez, Pekka Taimen, Jukka Kemppainen, Anna Kuisma, Olli Eskola, Jarmo Teuho, Jani Saunavaara, M. Pesola, Esa Kähkönen, Otto Ettala, Timo Liimatainen, Tapio Pahikkala, Peter J. Boström, Hannu J. Aronen, Heikki Minn, Ivan Jambor
Software Mentions: 1
Published: over 6 years ago
10.1038/s41598-020-66424-9
An Incremental Voltage Difference Based Technique for Online State of Health Estimation of Li-ion BatteriesCited by: 37
Author(s): Arunava Naha, Sangmin Han, Samarth Agarwal, Arun K. Guha, Ashish Khandelwal, Piyush Tagade, Krishnan S. Hariharan, Subramanya Mayya Kolake, Jongmoon Yoon, Bookeun Oh
Software Mentions: 1
Published: over 6 years ago
10.1038/s41598-020-67178-0
A machine learning-based prognostic predictor for stage III colon cancerCited by: 31
Author(s): Dan Jiang, Junhua Liao, Haihan Duan, Qingbin Wu, Gemma Owen, Chang Shu, Liangyin Chen, Yanjun He, Ziqian Wu, Du He, Wenyan Zhang, Ziqiang Wang
Software Mentions: 1
Published: about 6 years ago
10.1038/s41598-020-67878-7
Integrated network modeling approach defines key metabolic responses of soil microbiomes to perturbationsCited by: 9
Author(s): Ryan McClure, Joon‐Yong Lee, Taniya Roy Chowdhury, Eric Bottos, Richard Allen White, Young-Mo Kim, Carrie Nicora, Thomas O. Metz, Kirsten Hofmockel, Janet K. Jansson, Hyun‐Seob Song
Software Mentions: 1
Published: about 6 years ago
10.1038/s41598-020-67769-x
A regression algorithm for accelerated lattice QCD that exploits sparse inference on the D-Wave quantum annealerCited by: 8
Author(s): Nga T. T. Nguyen, Garrett T. Kenyon, Boram Yoon
Software Mentions: 1
Published: about 6 years ago
10.1038/s41598-020-68156-2
A machine learning workflow for raw food spectroscopic classification in a future industryCited by: 40
Author(s): Panagiοtis Tsakanikas, Apostolos Karnavas, Efstathios Ζ. Panagou
Software Mentions: 1
Published: about 6 years ago
10.1038/s41598-020-67546-w
A machine learning framework for computationally expensive transient modelsCited by: 13
Author(s): Prashant Kumar, Kushal Sinha, Nandkishor K. Nere, Yujin Shin, Raimundo Ho, Laurie Mlinar, Ahmad Y. Sheikh
Software Mentions: 1
Published: about 6 years ago
10.1038/s41598-020-68611-0
Deep learning-based classification of the mouse estrous cycle stagesCited by: 8
Author(s): Kentaro Sano, Shingo Matsuda, Suguru Tohyama, Daisuke Komura, Eiji Shimizu, Chihiro Sutoh
Software Mentions: 1
Published: about 6 years ago
10.1038/s41598-020-69056-1
Label-free detection of rare circulating tumor cells by image analysis and machine learningCited by: 29
Author(s): Wang Shen, Yuyuan Zhou, Xiaochen Qin, Suresh Nair, Xiaolei Huang, Yaling Liu
Software Mentions: 1
Published: about 6 years ago
10.1038/s41598-020-71613-7
A deep learning approach for facility patient attendance prediction based on medical booking dataCited by: 9
Author(s): Francesco Piccialli, Salvatore Cuomo, Danilo Crisci, Edoardo Prezioso, Gang Mei
Software Mentions: 1
Published: about 6 years ago
10.1038/s41598-020-71412-0
Maximizing CRISPR/Cas9 phenotype penetrance applying predictive modeling of editing outcomes in Xenopus and zebrafish embryosCited by: 26
Author(s): Thomas Naert, Dieter Tulkens, Nicole Edwards, Marjolein Carron, Nikko-Ideen Shaidani, Marcin Wlizla, Annekatrien Boel, Suzan Demuynck, Marko E. Horb, Paul Coucke, Andy Willaert, Aaron M. Zorn, Kris Vleminckx
Software Mentions: 1
Published: about 6 years ago
10.1038/s41598-020-71927-6
Machine learning improves the prediction of febrile neutropenia in Korean inpatients undergoing chemotherapy for breast cancerCited by: 11
Author(s): Bum-Joo Cho, Kyoung Min Kim, Sanchir-Erdene Bilegsaikhan, Yong Joon Suh
Software Mentions: 1
Published: about 6 years ago
10.1038/s41598-020-71693-5
Understanding and predicting ciprofloxacin minimum inhibitory concentration in Escherichia coli with machine learningCited by: 20
Author(s): Bálint Ármin Pataki, Sébastien Matamoros, Boas C L van der Putten, Daniel Remondini, Enrico Giampieri, Derya Aytan-Aktug, René S. Hendriksen, Ole Lund, István Csabai, Constance Schultsz
Software Mentions: 1
Published: about 6 years ago
10.1038/s41598-020-72455-z
Melt crystallization mechanism analyzed with dimensional reduction of high-dimensional data representing distribution function geometriesCited by: 2
Author(s): Hiroki Nada
Software Mentions: 1
Published: almost 6 years ago
10.1038/s41598-020-72317-8
Functional parcellation of the default mode network: a large-scale meta-analysisCited by: 27
Author(s): Shaoming Wang, Lindsey Tepfer, Adrienne A. Taren, David V. Smith
Software Mentions: 1
Published: almost 6 years ago
10.1038/s41598-020-73611-1
Exploration into biomarker potential of region-specific brain gene co-expression networksCited by: 3
Author(s): Yuqing Hang, Mohammed Aburidi, Benafsh Husain, Allison R Hickman, William L. Poehlman, F. Alex Feltus
Software Mentions: 1
Published: almost 6 years ago
10.1038/s41598-020-75715-0
Unsupervised and supervised learning with neural network for human transcriptome analysis and cancer diagnosisCited by: 16
Author(s): Bo Yuan, Dong Yang, Barry Rothberg, Hao Chang, Tian Xu
Software Mentions: 1
Published: almost 6 years ago
10.1038/s41598-020-75446-2
Genetic and non-genetic factors associated with the phenotype of exceptional longevity & normal cognitionCited by: 11
Author(s): Bin Han, Huashuai Chen, Yao Yao, Xiaomin Liu, Chao Nie, Junxia Min, Yi Zeng, Michael W. Lutz
Software Mentions: 1
Published: almost 6 years ago
10.1038/s41598-020-76369-8
Predicting antibody affinity changes upon mutations by combining multiple predictorsCited by: 9
Author(s): Yoichi Kurumida, Yutaka Saitô, Tomoshi Kameda
Software Mentions: 1
Published: almost 6 years ago
10.1038/s41598-020-77548-3
Using machine learning tools to predict outcomes for emergency department intensive care unit patientsCited by: 20
Author(s): Qiangrong Zhai, Zi Lin, Hua Ge, Yang Liang, Nan Li, Qingbian Ma, Chuyang Ye
Software Mentions: 1
Published: almost 6 years ago
10.1038/s41598-020-78353-8
Saturation transfer properties of tumour xenografts derived from prostate cancer cell lines 22Rv1 and DU145Cited by: 1
Author(s): Ziyu Tan, Wilfred Lam, Wendy Oakden, Leedan Murray, Margaret M. Koletar, Stanley K. Liu, Greg J. Stanisz
Software Mentions: 1
Published: almost 6 years ago
10.1038/s41598-020-76874-w
Feature replacement methods enable reliable home video analysis for machine learning detection of autismCited by: 28
Author(s): Émilie Leblanc, Peter Washington, Maya Varma, Kaitlyn Dunlap, Yordan Penev, Aaron Kline, Dennis P. Wall
Software Mentions: 1
Published: almost 6 years ago
10.1038/s41598-020-77474-4
Symmetry prediction and knowledge discovery from X-ray diffraction patterns using an interpretable machine learning approachCited by: 51
Author(s): Y. Suzuki, Hideitsu Hino, Takafumi Hawai, Kotaro Saito, Masato Kotsugi, Kanta Ono
Software Mentions: 1
Published: almost 6 years ago
10.1038/s41598-020-78707-2
Collective dynamics of stock market efficiencyCited by: 20
Author(s): Luiz G. A. Alves, Higor Y. D. Sigaki, Matjaž Perc, Haroldo V. Ribeiro
Software Mentions: 1
Published: almost 6 years ago
10.1038/s41598-020-79906-7
Enhancer-derived long non-coding RNAs CCAT1 and CCAT2 at rs6983267 has limited predictability for early stage colorectal carcinoma metastasisCited by: 11
Author(s): Lai Fun Thean, Christopher Blöcker, Hui Hua Li, Michelle Lo, Marcus Wong, Choong Leong Tang, Emile Tan, Steven G. Rozen, Peh Yean Cheah
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-020-80758-4
Prediction of kinase inhibitors binding modes with machine learning and reduced descriptor setsCited by: 11
Author(s): Ibrahim Abdelbaky, Hilal Tayara, Kil To Chong
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-020-80487-8
Dynamic blood flow phantom for in vivo liquid biopsy standardizationCited by: 3
Author(s): Anastasiia Kozlova, Daniil N. Bratashov, О. В. Гришин, Arkadii Abdurashitov, Ekaterina S. Prikhozhdenko, Roman A. Verkhovskii, Natalia A. Shushunova, E. V. Shashkov, Vladimir P. Zharov, Olga A. Inozemtseva
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-020-80474-z
Development of a machine learning model for predicting pediatric mortality in the early stages of intensive care unit admissionCited by: 6
Author(s): Bong Jin Lee, Kyunghoon Kim, Hye‐Jin Hwang, You Sun Kim, Eun Hee Chung, Jong Seo Yoon, Hwa Jin Cho, June Dong Park
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-020-80751-x
Multi-scale image analysis and prediction of visual field defects after selective amygdalohippocampectomyCited by: 2
Author(s): Bastian David, Jasmine Eberle, Daniel Delev, Jennifer Gaubatz, Conrad C. Prillwitz, Jan Wagner, Jan-Christoph Schoene-Bake, Guido Luechters, Alexander Radbruch, Bettina Wabbels, Johannes Schramm, Bernd Weber, Rainer Surges, Christian E. Elger, Theodor Rüber
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-021-81525-9
Evaluation of transfer learning in deep convolutional neural network models for cardiac short axis slice classificationCited by: 23
Author(s): Namgyu Ho, Yoon‐Chul Kim
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-021-81272-x
Utility of T2-weighted MRI texture analysis in assessment of peripheral zone prostate cancer aggressiveness: a single-arm, multicenter studyCited by: 11
Author(s): Gabriel Addio Nketiah, Mattijs Elschot, Tom W. J. Scheenen, Marnix C. Maas, Tone Frost Bathen, Kirsten Margrete Selnæs
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-021-81958-2
Predicting individual emotion from perception-based non-contact sensor big dataCited by: 11
Author(s): Nobuyoshi Komuro, Tomoki Hashiguchi, Keita Hirai, Makoto Ichikawa
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-021-82649-8
Targeting barrel field spiny stellate cells using a vesicular monoaminergic transporter 2-Cre mouse lineCited by: 1
Author(s): Fábio Batista Freitag, Aikeremu Ahemaiti, Hannah M. Weman, Katharina Ambroz, Malin C. Lagerström
Software Mentions: 1
Published: over 5 years ago