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
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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:
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+2840
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142 contributors with educational email addresses -
+20
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Repository owned by academic institution -
+15
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Science terms in README
3 scientific terms found in README
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PyPI ecosystem
General-purpose ecosystem
Very Likely Science (100)
Papers Mentioning scikit-learn 2,431
10.7717/peerj.11382
Predicting judging-perceiving of Myers-Briggs Type Indicator (MBTI) in online social forumCited by: 15
Author(s): En Jun Choong, Kasturi Dewi Varathan
Software Mentions: 1
Published: about 5 years ago
10.1186/s12859-019-2951-x
Polled Digital Cell Sorter (p-DCS): Automatic identification of hematological cell types from single cell RNA-sequencing clustersCited by: 21
Author(s): Sergii Domanskyi, Anthony Szedlak, Nathaniel T. Hawkins, Jiayin Wang, Giovanni Paternostro, Carlo Piermarocchi
Software Mentions: 1
Published: about 7 years ago
10.1016/j.patter.2021.100242
Network-based virus-host interaction prediction with application to SARS-CoV-2Cited by: 16
Author(s): Hangyu Du, Feng Chen, Hongfu Liu, Pengyu Hong
Software Mentions: 1
Published: over 5 years ago
10.1371/journal.pone.0184216
Automatic machine-learning based identification of jogging periods from accelerometer measurements of adolescents under field conditionsCited by: 34
Author(s): Eftim Zdravevski, Biljana Risteska Stojkoska, Marie Standl, Holger Schulz
Software Mentions: 1
Published: almost 9 years ago
10.1371/journal.pone.0173647
Simple agarose micro-confinement array and machine-learning-based classification for analyzing the patterned differentiation of mesenchymal stem cellsCited by: 18
Author(s): Nobuyuki Tanaka, Tadahiro Yamashita, Asako Sato, Viola Vogel, Yo Tanaka
Software Mentions: 1
Published: over 9 years ago
10.1371/journal.pone.0247243
Registration of spatio-temporal point clouds of plants for phenotypingCited by: 17
Author(s): Nived Chebrolu, Federico Magistri, Thomas Läbe, Cyrill Stachniss
Software Mentions: 1
Published: over 5 years ago
10.1371/journal.pone.0177239
Mapping the emotional face. How individual face parts contribute to successful emotion recognitionCited by: 196
Author(s): Martin Wegrzyn, Maria Vogt, Berna Kireclioglu, Julia Schneider, Johanna Kißler
Software Mentions: 1
Published: over 9 years ago
10.1371/journal.pone.0230164
Use of relevancy and complementary information for discriminatory gene selection from high-dimensional gene expression dataCited by: 3
Author(s): Nazmul Haque, Sadia Sharmin, Amin Ahsan Ali, Abu Ashfaqur Sajib, Mohammad Shoyaib
Software Mentions: 1
Published: almost 5 years ago
10.1371/journal.pone.0153208
Automated Segmentation of Skin Strata in Reflectance Confocal Microscopy Depth StacksCited by: 15
Author(s): Samuel C. Hames, Marco Ardigò, H. Peter Soyer, Andrew P. Bradley, Tarl W. Prow
Software Mentions: 1
Published: over 10 years ago
10.1371/journal.pone.0234871
A rapid volume of interest-based approach of radiomics analysis of breast MRI for tumor decoding and phenotyping of breast cancerCited by: 28
Author(s): Aydın Demircioğlu, Johannes Grueneisen, Marc Ingenwerth, Oliver Hoffmann, Katja Pinker-Domenig, Elizabeth A. Morris, Johannes Haubold, Michael Forsting, Felix Nensa, Lale Umutlu
Software Mentions: 1
Published: about 6 years ago
10.1371/journal.pone.0145118
Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison StudyCited by: 127
Author(s): Oskar Maier, Christoph Schröder, Nils D. Forkert, Thomas Martinetz, Heinz Handels
Software Mentions: 1
Published: over 10 years ago
10.1371/journal.pone.0255693
Prediction of HIV drug resistance based on the 3D protein structure: Proposal of molecular field mappingCited by: 4
Author(s): Ryosaku Ota, Kanako So, Masahiro Tsuda, Yuriko Higuchi, Fumiyoshi Yamashita
Software Mentions: 1
Published: about 5 years ago
10.1371/journal.pone.0211770
Visual cues that predict intuitive risk perception in the case of HIVCited by: 4
Author(s): Ralf Schmälzle, Freda–Marie Hartung, Alexander Barth, Martin A. Imhof, Alex Kenter, Britta Renner, Harald T. Schupp
Software Mentions: 1
Published: over 7 years ago
10.1371/journal.pone.0217053
Automatic classification of focal liver lesions based on MRI and risk factorsCited by: 39
Author(s): Mariëlle J. A. Jansen, Hugo J. Kuijf, Wouter B. Veldhuis, Frank J. Wessels, Max A. Viergever, Josien P. W. Pluim
Software Mentions: 1
Published: over 7 years ago
10.1371/journal.pone.0166866
Towards the Automatic Classification of Avian Flight Calls for Bioacoustic MonitoringCited by: 68
Author(s): Justin Salamon, Juan Pablo Bello, Andrew Farnsworth, Matt Robbins, Sara Keen, Holger Klinck, Steve Kelling
Software Mentions: 1
Published: almost 10 years ago
10.1371/journal.pone.0248737
Differential privacy fuzzy C-means clustering algorithm based on gaussian kernel functionCited by: 4
Author(s): Yaling Zhang, Jie Han
Software Mentions: 1
Published: over 5 years ago
10.1371/journal.pone.0122287
Comparison of Sequencing Based CNV Discovery Methods Using Monozygotic Twin QuartetsCited by: 15
Author(s): Marc‐André Legault, Simon L. Girard, Louis‐Philippe Lemieux Perreault, Guy A. Rouleau, Marie‐Pierre Dubé
Software Mentions: 1
Published: over 11 years ago
10.1371/journal.pone.0137241
Estimating Regions of Oceanographic Importance for Seabirds Using A-Spatial DataCited by: 4
Author(s): Grant R. W. Humphries
Software Mentions: 1
Published: about 11 years ago
10.1186/s13071-019-3651-0
Assessment of a metabarcoding approach for the characterisation of vector-borne bacteria in canines from Bangkok, ThailandCited by: 22
Author(s): Lucas G. Huggins, Anson V. Koehler, Dinh Ng-Nguyen, Stephen Wilcox, Bettina Schunack, Tawin Inpankaew, Rebecca J. Traub
Software Mentions: 1
Published: about 7 years ago
10.5811/westjem.2020.12.49370
Clinical Features of Emergency Department Patients from Early COVID-19 Pandemic that Predict SARS-CoV-2 Infection: Machine-learning ApproachCited by: 6
Author(s): Eric Chou, Chih‐Hung Wang, Yu-Lin Hsieh, Babak Namazi, Jon Wolfshohl, Toral Bhakta, Ching‐Lin Tsai, W. C. Lien, Ganesh Sankaranarayanan, Chien‐Chang Lee, Tsung-Chien Lu
Software Mentions: 1
Published: over 5 years ago
10.1371/journal.pone.0193128
Most yeast SH3 domains bind peptide targets with high intrinsic specificityCited by: 13
Author(s): Tom Brown, Nils Brown, Elliott J. Stollar
Software Mentions: 1
Published: over 8 years ago
10.1371/journal.pone.0086703
Sequence Based Prediction of DNA-Binding Proteins Based on Hybrid Feature Selection Using Random Forest and Gaussian Naïve BayesCited by: 155
Author(s): Wangchao Lou, Xiaoqing Wang, Fan Chen, Yixiao Chen, Bo Jiang, Hua Zhang
Software Mentions: 1
Published: over 12 years ago
10.1371/journal.pone.0237285
PI Prob: A risk prediction and clinical guidance system for evaluating patients with recurrent infectionsCited by: 13
Author(s): Nicholas L. Rider, Gina Cahill, Tina Motazedi, Lei Wei, Ashok Kurian, Lenora M. Noroski, Filiz O. Seeborg, Iván K. Chinn, Kirk Roberts
Software Mentions: 1
Published: over 5 years ago
10.1371/journal.pone.0193765
On the nature of real and perceived bias in the mainstream mediaCited by: 30
Author(s): Erick Elejalde, Leo Ferres, Eelco Herder
Software Mentions: 1
Published: over 8 years ago
10.1371/journal.pone.0195328
A note on the analysis of two-stage task results: How changes in task structure affect what model-free and model-based strategies predict about the effects of reward and transition on the stay probabilityCited by: 14
Author(s): Carolina Feher da Silva, Todd A. Hare
Software Mentions: 1
Published: over 8 years ago
10.1186/s12859-020-3512-z
Direct comparison shows that mRNA-based diagnostics incorporate information which cannot be learned directly from genomic mutationsCited by: 2
Author(s): Hersh D. Ravkin, Ofer Givton, David Geffen, Eitan Rubin
Software Mentions: 1
Published: over 6 years ago
10.1371/journal.pone.0153331
Divide and Conquer: Sub-Grouping of ASD Improves ASD Detection Based on Brain MorphometryCited by: 36
Author(s): Gajendra Jung Katuwal, Stefi A. Baum, Nathan D. Cahill, Andrew M. Michael
Software Mentions: 1
Published: over 10 years ago
10.1371/journal.pone.0246236
Use of artificial intelligence on Electroencephalogram (EEG) waveforms to predict failure in early school grades in children from a rural cohort in PakistanCited by: 4
Author(s): Muneera A. Rasheed, Prem Chand, Saad M. Saleh Ahmed, Hamza Sharif, Zahra Hoodbhoy, Ayat Siddiqui, Babar Hasan
Software Mentions: 1
Published: over 5 years ago
10.1371/journal.pone.0249868
Heart rate n-variability (HRnV) measures for prediction of mortality in sepsis patients presenting at the emergency departmentCited by: 9
Author(s): Nan Liu, Marcel Lucas Chee, Mabel Z.Q. Foo, Jeremy Zhenwen Pong, Di Guo, Zhi Xiong Koh, Andrew Fu Wah Ho, Chenglin Niu, Shu-Ling Chong, Marcus Eng Hock Ong
Software Mentions: 1
Published: about 5 years ago
10.1371/journal.pone.0250780
Risk of rapid evolutionary escape from biomedical interventions targeting SARS-CoV-2 spike proteinCited by: 61
Author(s): Debra Van Egeren, Alexander Novokhodko, Madison Stoddard, Uyen Tran, Bruce R. Zetter, Michael S. Rogers, Bradley L. Pentelute, Jonathan M. Carlson, Mark S. Hixon, Diane Joseph‐McCarthy, Arijit Chakravarty
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-019-48295-x
Reconstructing commuters network using machine learning and urban indicatorsCited by: 36
Author(s): Gabriel Spadon, André C. P. L. F. de Carvalho, José F. Rodrigues-Jr, Luiz G. A. Alves
Software Mentions: 1
Published: about 7 years ago
10.1371/journal.pone.0197177
Comparative genotypic and phenotypic analysis of human peripheral blood monocytes and surrogate monocyte-like cell lines commonly used in metabolic disease researchCited by: 27
Author(s): Darren Riddy, Emily Goy, Philippe Delerive, Roger J. Summers, Patrick M. Sexton, Christopher J. Langmead
Software Mentions: 1
Published: over 8 years ago
10.12688/wellcomeopenres.14069.2
Classification and characterisation of brain network changes in chronic back pain: A multicenter studyCited by: 54
Author(s): Hiroaki Matsubara, Gopal Kotecha, Kenji Leibnitz, Takashi Matsubara, Christian Sprenger, Aya Nakae, Nicholas Shenker, Masahiko Shibata, Valerie Voon, Wako Yoshida, Michael C. Lee, Toshio Yanagida, Mitsuo Kawato, Maria J. Rosa, Ben Seymour
Software Mentions: 1
Published: almost 8 years ago
10.1371/journal.pone.0236962
MISTIC: A prediction tool to reveal disease-relevant deleterious missense variantsCited by: 21
Author(s): Kirsley Chennen, Thomas Weber, Xavière Lornage, Arnaud Kress, Johann Böhm, Julie Thompson, Jocelyn Laporte, Olivier Poch
Software Mentions: 1
Published: about 6 years ago
10.1371/journal.pone.0225991
Reconstruction error based deep neural networks for coronary heart disease risk predictionCited by: 20
Author(s): Tsatsral Amarbayasgalan, Kwang-Ho Park, Jong Yun Lee, Keun Ho Ryu
Software Mentions: 1
Published: almost 7 years ago
10.1371/journal.pone.0232573
Automatic segmentation of multiple cardiovascular structures from cardiac computed tomography angiography images using deep learningCited by: 20
Author(s): Lohendran Baskaran, Subhi J. Al’Aref, Gabriel Maliakal, Benjamin C. Lee, Zhuoran Xu, Jeong Won Choi, Sang Eun Lee, Ji Min Sung, Fay Y. Lin, Simon Dunham, Bobak Mosadegh, Yong Jin Kim, Ilan Gottlieb, Byoung Kwon Lee, Eun Ju Chun, Filippo Cademartiri, Erica Maffei, Hugo Marques, Sanghoon Shin, Jung Hyun Choi, Kavitha M. Chinnaiyan, Martin Hadamitzky, Edoardo Conte, Daniele Andreini, Gianluca Pontone, Matthew J. Budoff, Jonathon Leipsic, Gilbert Raff, Renu Virmani, Habib Samady, Peter H. Stone, Daniel S. Berman, Jagat Narula, Jeroen J. Bax, Hyuk Jae Chang, James K. Min, Leslee J. Shaw
Software Mentions: 1
Published: over 6 years ago
10.1371/journal.pone.0237937
Man vs. machine: Predicting hospital bed demand from an emergency departmentCited by: 3
Author(s): Filipe Rissieri Lucini, Mateus Augusto dos Reis, Giovani J.C. da Silveira, Flávio Sanson Fogliatto, Michel J. Anzanello, Giordanna Guerra Andrioli, Rafael Nicolaidis, Rafael Coimbra Ferreira Beltrame, Jeruza Lavanholi Neyeloff, Beatriz D’Agord Schaan
Software Mentions: 1
Published: about 6 years ago
10.1371/journal.pone.0206409
An open-source k-mer based machine learning tool for fast and accurate subtyping of HIV-1 genomesCited by: 63
Author(s): Stephen Solis-Reyes, Mariano Avino, Art F. Y. Poon, Lila Kari
Software Mentions: 1
Published: almost 8 years ago
10.1371/journal.pone.0229620
Evaluation of machine learning models for automatic detection of DNA double strand breaks after irradiation using a γH2AX foci assayCited by: 8
Author(s): Tim Hohmann, Jacqueline Keßler, Dirk Vordermark, Faramarz Dehghani
Software Mentions: 1
Published: over 6 years ago
10.1371/journal.pone.0253027
Automatic ladybird beetle detection using deep-learning modelsCited by: 8
Author(s): Pablo Venegas, Francisco Calderón, Daniel Riofrío, Diego S. Benítez, Giovanni Ramón, Diego F. Cisneros‐Heredia, Miguel Coimbra, José Luis Rojo-Álvarez, Noel Pérez
Software Mentions: 1
Published: about 5 years ago
10.1371/journal.pone.0235663
Inexpensive, non-invasive biomarkers predict Alzheimer transition using machine learning analysis of the Alzheimer’s Disease Neuroimaging (ADNI) databaseCited by: 17
Author(s): Juan Felipe Beltrán, Brandon Malik Wahba, Nicole Hose, Dennis Shasha, Richard Kline
Software Mentions: 1
Published: about 6 years ago
10.1371/journal.pone.0209738
‘A world of competing sorrows’: A mixed methods analysis of media reports of children with cancer abandoning conventional treatmentCited by: 4
Author(s): Caroline Diorio, Michael Afanasiev, Kristen Salena, Stacey Marjerrison
Software Mentions: 1
Published: over 7 years ago
10.1371/journal.pone.0255748
Regional performance variation in external validation of four prediction models for severity of COVID-19 at hospital admission: An observational multi-centre cohort studyCited by: 2
Author(s): Kristin Wickstrøm, Valeria Vitelli, Ewan Carr, Aleksander Rygh Holten, Rebecca Bendayan, Andrew H. Reiner, Daniel Bean, Thomas Searle, Anthony Shek, Željko Kraljević, James Teo, Richard Dobson, Kristian Tonby, Alvaro Köhn‐Luque, E Amundsen
Software Mentions: 1
Published: about 5 years ago
10.1128/mSystems.01013-20
Elucidating the Regulatory Elements for Transcription Termination and Posttranscriptional Processing in the Streptomyces clavuligerus GenomeCited by: 5
Author(s): Soonkyu Hwang, Namil Lee, Donghui Choe, Yong Jae Lee, Woori Kim, Yu‐Jin Jeong, Suhyung Cho, Jaehyung Kim, Byung-Kwan Cho
Software Mentions: 1
Published: about 5 years ago
10.1371/journal.pone.0171207
Data-driven system to predict academic grades and dropoutCited by: 73
Author(s): S Domínguez Rovira, Eloi Puertas, Laura Igual
Software Mentions: 1
Published: over 9 years ago
10.1186/s12859-017-1843-1
Interpretation of microbiota-based diagnostics by explaining individual classifier decisionsCited by: 20
Author(s): Anat Eck, Luisa Zintgraf, E. F. J. de Groot, Tim G. J. de Meij, Taco Cohen, Paul H. M. Savelkoul, Max Welling, Andries E. Budding
Software Mentions: 1
Published: almost 9 years ago
10.1371/journal.pone.0185458
Predictors of all-cause mortality among 514,866 participants from the Korean National Health Screening CohortCited by: 14
Author(s): Cheol–Hee Ahn, Yunji Hwang, Sung Sup Park
Software Mentions: 1
Published: almost 9 years ago
10.1371/journal.pone.0216493
Large-area, high-resolution characterisation and classification of damage mechanisms in dual-phase steel using deep learningCited by: 42
Author(s): Carl F. Kusche, Tom Reclik, Martina Freund, Talal Al‐Samman, U. Kerzel, Sandra Korte‐Kerzel
Software Mentions: 1
Published: over 7 years ago
10.1371/journal.pone.0167370
A Machine Learning Approach for Using the Postmortem Skin Microbiome to Estimate the Postmortem IntervalCited by: 84
Author(s): Hunter R. Johnson, Donovan Trinidad, Stephania Guzman, Zenab Khan, James V. Parziale, Jennifer M. DeBruyn, Nathan H. Lents
Software Mentions: 1
Published: over 9 years ago
10.1371/journal.pone.0114391
Systematic Classification of Disease Severity for Evaluation of Expanded Carrier Screening PanelsCited by: 84
Author(s): Gabriel A. Lazarin, Felicia Hawthorne, Nicholas S. Collins, E Platt, E. Edward Evans, Imran S. Haque
Software Mentions: 1
Published: over 11 years ago
10.3390/v13061164
Informative Regions In Viral GenomesCited by: 9
Author(s): Jaime Leonardo Moreno-Gallego, Alejandro Reyes
Software Mentions: 1
Published: about 5 years ago
10.3390/v12070769
Deploying Machine and Deep Learning Models for Efficient Data-Augmented Detection of COVID-19 InfectionsCited by: 138
Author(s): Ahmed Sedik, Abdullah M. Iliyasu, Basma Abd El-Rahiem, Mohammed E. Abdel Samea, Asmaa Abdel-Raheem, Mohamed Hammad, Jialiang Peng, Fathi E. Abd El‐Samie, Ahmed A. Abd El‐Latif
Software Mentions: 1
Published: about 6 years ago
10.1371/journal.pone.0251553
Artificial intelligence for classifying uncertain images by humans in determining choroidal vascular running pattern and comparisons with automated classification between artificial intelligenceCited by: 1
Author(s): Shozo Sonoda, Hideki Shiihara, Hiroto Terasaki, Naoko Kakiuchi, Ryoh Funatsu, Masatoshi Tomita, Yuki Shinohara, Eisuke Uchino, Takuma Udagawa, Guangzhou An, Masahiro Akïba, Hideo Yokota, Taiji Sakamoto
Software Mentions: 1
Published: over 5 years ago
10.1371/journal.pone.0256648
Random forest-integrated analysis in AD and LATE brain transcriptome-wide data to identify disease-specific gene expressionCited by: 6
Author(s): Xinxing Wu, Chong Peng, Peter T. Nelson, Qiang Cheng
Software Mentions: 1
Published: almost 5 years ago
10.5194/acp-20-4637-2020
Stratocumulus cloud clearings: statistics from satellites, reanalysis models, and airborne measurementsCited by: 7
Author(s): Hossein Dadashazar, Ewan Crosbie, Mohammad S. Majdi, Milad Panahi, Mohammad A. Moghaddam, Ali Behrangi, Michael A. Brunke, Xubin Zeng, Haflidi H. Jonsson, Armin Sorooshian
Software Mentions: 1
Published: over 6 years ago
10.1371/journal.pone.0255626
Machine learning prediction of dropping out of outpatients with alcohol use disordersCited by: 5
Author(s): So Jin Park, Sun Jung Lee, HyungMin Kim, Jae Kwon Kim, Ji Won Chun, Soo-Jung Lee, Hae Kook Lee, Daijin Kim, In Young Choi
Software Mentions: 1
Published: about 5 years ago
10.1007/s00404-020-05908-5
Optimisation and evaluation of the random forest model in the efficacy prediction of chemoradiotherapy for advanced cervical cancer based on radiomics signature from high-resolution T2 weighted imagesCited by: 12
Author(s): Defeng Liu, Xiaohang Zhang, Tao Zheng, Qinglei Shi, Yujie Cui, Yongji Wang, Lanxiang Liu
Software Mentions: 1
Published: over 5 years ago
10.1371/journal.pone.0141922
Emotional Sentence Annotation Helps Predict Fiction GenreCited by: 11
Author(s): Spyridon Samothrakis, Maria Fasli
Software Mentions: 1
Published: almost 11 years ago
10.1371/journal.pone.0226272
Predicting the occurrence of surgical site infections using text mining and machine learningCited by: 14
Author(s): Daniel A. da Silva, Carla S. ten Caten, Rodrigo Pires dos Santos, Flávio Sanson Fogliatto, Juliana Hsuan
Software Mentions: 1
Published: over 6 years ago
10.1186/s13567-018-0557-3
Control measures to prevent the increase of paratuberculosis prevalence in dairy cattle herds: an individual-based modelling approachCited by: 17
Author(s): Guillaume Camanes, Alain Joly, Christine Fourichon, Racem Ben Romdhane, Pauline Ezanno
Software Mentions: 1
Published: about 8 years ago
10.1186/s13024-019-0308-6
Differences in neurotropism and neurotoxicity among retrograde viral tracersCited by: 44
Author(s): Leqiang Sun, Ya‐Jie Tang, Keji Yan, Jinsong Yu, Yanyan Zou, Weize Xu, Ke Xiao, Zhihui Zhang, Weiming Li, Beili Wu, Zhe Hu, Kening Chen, Zhen F. Fu, Jinxia Dai, Gang Cui
Software Mentions: 1
Published: over 7 years ago
10.1371/journal.pone.0236092
Challenges of machine learning model validation using correlated behaviour data: Evaluation of cross-validation strategies and accuracy measuresCited by: 26
Author(s): Bence Ferdinandy, László Gerencsér, Luca Corrieri, Paula Carballo Pérez, Dóra Újváry, Gábor Csizmadia, Ádám Miklósi
Software Mentions: 1
Published: about 6 years ago
10.3390/molecules26051241
Classification of Greek Olive Oils from Different Regions by Machine Learning-Aided Laser-Induced Breakdown Spectroscopy and Absorption SpectroscopyCited by: 11
Author(s): Nikolaos Gyftokostas, Eleni Nanou, Dimitrios Stefas, Vasileios Kokkinos, Christos Bouras, Stelios Couris
Software Mentions: 1
Published: over 5 years ago
10.3390/molecules25153372
A Pilot Study of Multi-Input Recurrent Neural Networks for Drug-Kinase Binding PredictionCited by: 3
Author(s): Kristy A Carpenter, Alexander Pilozzi, Xudong Huang
Software Mentions: 1
Published: about 6 years ago
10.3390/molecules26092487
iT4SE-EP: Accurate Identification of Bacterial Type IV Secreted Effectors by Exploring Evolutionary Features from Two PSI-BLAST ProfilesCited by: 0
Author(s): Haitao Han, Chenchen Ding, Xin Cheng, Xiuzhi Sang, Taigang Liu
Software Mentions: 1
Published: over 5 years ago
10.1371/journal.pone.0249318
Clustered embedding using deep learning to analyze urban mobility based on complex transportation dataCited by: 1
Author(s): Sung Bae Cho, Jin Young Kim
Software Mentions: 1
Published: over 5 years ago
10.1371/journal.pone.0207926
Biomarkers of erosive arthritis in systemic lupus erythematosus: Application of machine learning modelsCited by: 28
Author(s): Fulvia Ceccarelli, Marco Sciandrone, Carlo Perricone, Giulio Galvan, Enrica Cipriano, Alessandro Galligari, Tommaso Levato, Tania Colasanti, Laura Massaro, Francesco Natalucci, Francesca Romana Spinelli, Cristiano Alessandri, Guido Valesini, Fabrizio Conti
Software Mentions: 1
Published: almost 8 years ago
10.1371/journal.pone.0228579
Towards story-based classification of movie scenesCited by: 4
Author(s): Chang Liu, Armin Shmilovici
Software Mentions: 1
Published: over 6 years ago
10.1371/journal.pone.0202652
Predicting improved protein conformations with a temporal deep recurrent neural networkCited by: 14
Author(s): Erik Pfeiffenberger, Paul A. Bates
Software Mentions: 1
Published: about 8 years ago
10.3390/molecules26061617
Predictive Capability of QSAR Models Based on the CompTox Zebrafish Embryo Assays: An Imbalanced Classification ProblemCited by: 6
Author(s): Mario Lovrić, Olga Malev, Göran Klobučar, Roman Kern, Jay Liu, Bono Lučić
Software Mentions: 1
Published: over 5 years ago
10.1371/journal.pone.0252402
Crop yield prediction integrating genotype and weather variables using deep learningCited by: 59
Author(s): Johnathon M. Shook, Tryambak Gangopadhyay, Linjiang Wu, Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh K. Singh
Software Mentions: 1
Published: about 5 years ago
10.3390/molecules21111504
Unraveling the Roots of Selectivity of Peptide Affinity Reagents for Structurally Similar Ribosomal Inactivating Protein DerivativesCited by: 6
Author(s): Deborah A. Sarkes, Margaret M. Hurley, Dimitra N. Stratis‐Cullum
Software Mentions: 1
Published: almost 10 years ago
10.1371/journal.pone.0242629
SE-stacking: Improving user purchase behavior prediction by information fusion and ensemble learningCited by: 17
Author(s): Jing Xu, Jie Wang, Ye Tian, Jiangpeng Yan, Xiu Li, Xin Gao
Software Mentions: 1
Published: almost 6 years ago
10.1371/journal.pone.0203224
Bayesian analysis of isothermal titration calorimetry for binding thermodynamicsCited by: 18
Author(s): Trung Hai Nguyen, Ariën S. Rustenburg, S.G. Krimmer, Zhang He-xi, John D. Clark, Paul Novick, Kristin Branson, Vijay S. Pande, John D. Chodera, David D. L. Minh
Software Mentions: 1
Published: almost 8 years ago
10.3390/molecules24152716
Applicability Domain of Active Learning in Chemical Probe Identification: Convergence in Learning from Non-Specific Compounds and Decision Rule ClarificationCited by: 5
Author(s): Ahsan Habib Polash, Takashi Nakano, Satoru Takeda, J. Brown
Software Mentions: 1
Published: about 7 years ago
10.1371/journal.pone.0212898
Identification of genetic markers for cortical areas using a Random Forest classification routine and the Allen Mouse Brain AtlasCited by: 10
Author(s): Natalie Weed, Trygve E. Bakken, Nile Graddis, Nathan W. Gouwens, Daniel Millman, Michael Hawrylycz, Jack Waters
Software Mentions: 1
Published: about 7 years ago
10.1371/journal.pone.0249338
A soft voting ensemble classifier for early prediction and diagnosis of occurrences of major adverse cardiovascular events for STEMI and NSTEMI during 2-year follow-up in patients with acute coronary syndromeCited by: 30
Author(s): Syed Waseem Abbas Sherazi, Jang‐Whan Bae, Jong Yun Lee
Software Mentions: 1
Published: about 5 years ago
10.1371/journal.pone.0210146
A proposal of prior probability-oriented clustering in feature encoding strategiesCited by: 0
Author(s): Yuki Shinomiya, Yukinobu Hoshino
Software Mentions: 1
Published: over 7 years ago
10.1371/journal.pone.0161338
A Fast Alignment-Free Approach for De Novo Detection of Protein Conserved RegionsCited by: 2
Author(s): Armen Abnousi, Shira L. Broschat, Ananth Kalyanaraman
Software Mentions: 1
Published: about 10 years ago
10.3390/molecules25204645
Docking and QSAR of Aminothioureas at the SARS-CoV-2 S-Protein–Human ACE2 Receptor InterfaceCited by: 5
Author(s): W Płonka, Agata Paneth, Piotr Paneth
Software Mentions: 1
Published: almost 6 years ago
10.1371/journal.pone.0163041
Machine Learning Algorithms for Automatic Classification of Marmoset VocalizationsCited by: 33
Author(s): Hjalmar K. Turesson, Sidarta Ribeiro, Danillo Roberto Pereira, João Paulo Papa, Victor Hugo C. de Albuquerque
Software Mentions: 1
Published: almost 10 years ago
10.3390/molecules25061317
Prediction Model of Aryl Hydrocarbon Receptor Activation by a Novel QSAR Approach, DeepSnap–Deep LearningCited by: 16
Author(s): Yasunari Matsuzaka, Takeshi Hosaka, Anna Ogaito, Kouichi Yoshinari, Yoshihiro Uesawa
Software Mentions: 1
Published: over 6 years ago
10.1371/journal.pone.0222397
Can machine learning improve patient selection for cardiac resynchronization therapy?Cited by: 25
Author(s): Szu-Yeu Hu, Enrico Santus, Alexander W. Forsyth, Devvrat Malhotra, Josh Haimson, Neal A. Chatterjee, Daniel B. Kramer, Regina Barzilay, James A. Tulsky, Charlotta Lindvall
Software Mentions: 1
Published: almost 7 years ago
10.3390/molecules24183268
Near-Infrared Hyperspectral Imaging Combined with Deep Learning to Identify Cotton Seed VarietiesCited by: 66
Author(s): Susu Zhu, Lei Zhou, Pan Gao, Yukun Bao, Yong He, Feng Liu
Software Mentions: 1
Published: almost 7 years ago
10.3390/molecules26123630
Cytotoxicity Induction by the Oxidative Reactivity of Nanoparticles Revealed by a Combinatorial GNP Library with Diverse Redox PropertiesCited by: 3
Author(s): Shenqing Wang, Xiliang Yan, Gaoxing Su, Bing Yan
Software Mentions: 1
Published: about 5 years ago
10.1371/journal.pone.0223965
Automated detection of a nonperfusion area caused by retinal vein occlusion in optical coherence tomography angiography images using deep learningCited by: 35
Author(s): Daisuke Nagasato, Hitoshi Tabuchi, Hiroki Masumoto, Hiroki Enno, Naofumi Ishitobi, Masahiro Kameoka, Masanori Niki, Yoshinori Mitamura
Software Mentions: 1
Published: almost 7 years ago
10.22037/aaem.v9i1.1059
Early Detection of Rhabdomyolysis-Induced Acute Kidney Injury through Machine Learning Approaches.Cited by: 3
Author(s): Pooria Poorsarvi Tehrani, Hamed Malek
Software Mentions: 1
Published: over 5 years ago
10.1371/journal.pone.0233079
Deep learning assisted detection of glaucomatous optic neuropathy and potential designs for a generalizable modelCited by: 19
Author(s): Yu Chieh Ko, Shih Yu Wey, Wei Ta Chen, Yu Fan Chang, Mei Ju Chen, Shih Hwa Chiou, Catherine Jui Ling Liu, Chen‐Yi Lee
Software Mentions: 1
Published: over 6 years ago
10.1371/journal.pone.0209960
Underwater hyperspectral classification of deep sea corals exposed to 2-methylnaphthaleneCited by: 13
Author(s): Paul Anton Letnes, Ingrid Myrnes Hansen, Lars Martin Sandvik, Ingvar Eide, Ragnhild Pettersen, Luca Tassara, Justine Receveur, Stéphane Le Floch, Julien Guyomarch, Lionel Camus, Jenny Bytingsvik
Software Mentions: 1
Published: over 7 years ago
10.1371/journal.pone.0210575
Predicting inadequate postoperative pain management in depressed patients: A machine learning approachCited by: 39
Author(s): Arjun Parthipan, Imon Banerjee, Keith Humphreys, Steven M. Asch, Catherine Curtin, Ian Carroll, Tina Hernandez‐Boussard
Software Mentions: 1
Published: over 7 years ago
10.3390/molecules26175272
Electronic Nose Differentiation between Quercus robur Acorns Infected by Pathogenic Oomycetes Phytophthora plurivora and Pythium intermediumCited by: 4
Author(s): Piotr Borowik, Ludwik Adamowicz, Rafał Tarakowski, Przemysław Wacławik, Tomasz Oszako, Sławomir Ślusarski, Miłosz Tkaczyk, Marcin Stocki
Software Mentions: 1
Published: about 5 years ago
10.1007/s41109-018-0081-4
Referral paths in the U.S. physician networkCited by: 8
Author(s): Chuankai An, A. James O’Malley, Daniel N. Rockmore
Software Mentions: 1
Published: about 8 years ago
10.1371/journal.pone.0202167
Efficient feature selection and classification for microarray dataCited by: 62
Author(s): Zifa Li, Weibo Xie, Tao Liu
Software Mentions: 1
Published: about 8 years ago
10.1371/journal.pone.0208422
A multifactorial model of T cell expansion and durable clinical benefit in response to a PD-L1 inhibitorCited by: 15
Author(s): Mark D.M. Leiserson, Vasilis Syrgkanis, Amy Gilson, Miroslav Dudík, Sharon Gillett, Jennifer Chayes, Christian Borgs, Dean F. Bajorin, Jonathan E. Rosenberg, Samuel A. Funt, Alexandra Snyder, Lester Mackey
Software Mentions: 1
Published: over 7 years ago
10.1371/journal.pone.0238738
Relationship between truck driver fatigue and rear-end collision riskCited by: 6
Author(s): Kei Mizuno, Daichi Ojiro, Takeshi Tanaka, Shunsuke Minusa, Hiromichi Kuriyama, Emi Yamano, Hirohiko Kuratsune, Yasuyoshi Watanabe
Software Mentions: 1
Published: almost 6 years ago
10.1371/journal.pone.0222983
Automated diagnosis of heart valve degradation using novelty detection algorithms and machine learningCited by: 6
Author(s): Bernhard Vennemann, Dominik Obrist, Thomas Rösgen
Software Mentions: 1
Published: almost 7 years ago
10.1007/s41109-017-0055-y
Predicting stock market movements using network science: an information theoretic approachCited by: 17
Author(s): Minjun Kim, Hiroki Sayama
Software Mentions: 1
Published: almost 9 years ago
10.1371/journal.pone.0227613
A brain connectivity characterization of children with different levels of mathematical achievement based on graph metricsCited by: 8
Author(s): Sulema Torres-Ramos, Ricardo A. Salido-Ruiz, Aurora Espinoza-Valdez, Fabiola R. Gómez-Velázquez, Andrés A. González-Garrido, Israel Román-Godínez
Software Mentions: 1
Published: over 6 years ago
10.1371/journal.pone.0094811
Detecting Falls as Novelties in Acceleration Patterns Acquired with SmartphonesCited by: 128
Author(s): Carlos Medrano, Raúl Igual, Inmaculada Plaza, Manuel Castro
Software Mentions: 1
Published: over 12 years ago
10.1371/journal.pone.0204999
Efficient multi-task chemogenomics for drug specificity predictionCited by: 8
Author(s): Benoit Playe, Chloé-Agathe Azencott, Véronique Stoven
Software Mentions: 1
Published: almost 8 years ago