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: about 2 years ago
5,918 dependent packages
43,777,417 downloads last month
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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:
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+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:
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PyPI ecosystem
General-purpose ecosystem
Very Likely Science (100)
Papers Mentioning scikit-learn 2,431
10.3389/fonc.2021.637794
Preoperative Prediction of Lymphovascular Space Invasion in Cervical Cancer With Radiomics –Based NomogramCited by: 9
Author(s): Wei Du, Yu Wang, Dongdong Li, Xia Xiang, Qiaoyue Tan, Xiaoming Xiong, Zhiping Li
Software Mentions: 2
Published: over 4 years ago
10.1038/s41598-018-38464-9
Four-dimensional joint visualization of electrode degradation and liquid water distribution inside operating polymer electrolyte fuel cellsCited by: 35
Author(s): Robin White, Sebastian H. Eberhardt, Yadvinder Singh, Tylynn Haddow, Monica Dutta, Francesco P. Orfino, Erik Kjeang
Software Mentions: 2
Published: over 6 years ago
10.1016/j.yjsbx.2020.100038
Structures and dynamics of the novel S1/S2 protease cleavage site loop of the SARS-CoV-2 spike glycoproteinCited by: 33
Author(s): Thomas Lemmin, David Kalbermatter, Daniel Harder, Philippe Plattet, Dimitrios Fotiadis
Software Mentions: 2
Published: almost 6 years ago
10.1098/rsos.210392
Predicting the risk of rupture for vertebral aneurysm based on geometric features of blood vesselsCited by: 1
Author(s): Shixuan Li, Ruiqi Pan, Aarushi Gupta, Shixin Xu, Yibin Fang, Huaxiong Huang
Software Mentions: 2
Published: over 4 years ago
10.1107/S1600577516017756
Automatic processing of multimodal tomography datasetsCited by: 10
Author(s): Aaron Parsons, Stephen W. T. Price, Nicola Wadeson, Mark Basham, Andrew M. Beale, Alun Ashton, J. Frederick W. Mosselmans, Paul D. Quinn
Software Mentions: 2
Published: almost 9 years ago
10.3390/s20092638
Machine Learning on Mainstream MicrocontrollersCited by: 49
Author(s): Fouad Sakr, Francesco Bellotti, Riccardo Berta, Alessandro De Gloria
Software Mentions: 2
Published: over 5 years ago
10.1038/s41598-019-39815-w
Utilisation of Ambient Laser Desorption Ionisation Mass Spectrometry (ALDI-MS) Improves Lipid-Based Microbial Species Level IdentificationCited by: 19
Author(s): Simon Cameron, Zsolt Bodai, Burak Temelkuran, Alvaro Perdones‐Montero, Frances Bolt, Adam Burke, Kate Alexander-Hardiman, Michel Salzet, Isabelle Fournier, Monica Rebec, Zoltán Takáts
Software Mentions: 2
Published: over 6 years ago
10.3389/fneur.2019.00996
The Pragmatic Classification of Upper Extremity Motion in Neurological Patients: A PrimerCited by: 8
Author(s): Avinash Parnandi, Jasim Uddin, Dawn Nilsen, Heidi M. Schambra
Software Mentions: 2
Published: about 6 years ago
10.3390/s20113129
Comparison Analysis of Machine Learning Techniques for Photovoltaic Prediction Using Weather Sensor DataCited by: 20
Author(s): Berny Carrera, Kwanho Kim
Software Mentions: 2
Published: over 5 years ago
10.1371/journal.pone.0230049
Describing the antimicrobial usage patterns of companion animal veterinary practices; free text analysis of more than 4.4 million consultation recordsCited by: 34
Author(s): Brian Hur, Laura Y. Hardefeldt, Karin Verspoor, Timothy Baldwin, James R. Gilkerson
Software Mentions: 2
Published: over 5 years ago
10.3390/s20113033
Gentle Versus Strong Touch Classification: Preliminary Results, Challenges, and PotentialsCited by: 3
Author(s): Soheil Keshmiri, Masahiro Shiomi, Hidenobu Sumioka, Takashi Minato, Hiroshi Ishiguro
Software Mentions: 2
Published: over 5 years ago
10.1107/S1600577521007153
Improving reproducibility in synchrotron tomography using implementation-adapted filtersCited by: 0
Author(s): Poulami Somanya Ganguly, Daniël M. Pelt, Doğa Gürsoy, Francesco De Carlo, Kees Joost Batenburg
Software Mentions: 2
Published: over 4 years ago
10.1016/j.isci.2021.103068
Use of metamodels for rapid discovery of narrow bandgap oxide photocatalystsCited by: 15
Author(s): Haoxin Mai, Tu C. Le, Takashi Hisatomi, Dehong Chen, Kazunari Domen, David A. Winkler, Rachel A. Caruso
Software Mentions: 2
Published: about 4 years ago
10.3390/s20164512
A Random Forest-Based Accuracy Prediction Model for Augmented Biofeedback in a Precision Shooting Training SystemCited by: 0
Author(s): Junqi Guo, Yang Lan, Anton Umek, Rongfang Bie, Sašo Tomažič, Anton Kos
Software Mentions: 2
Published: over 5 years ago
10.1126/sciadv.aav0693
New tolerance factor to predict the stability of perovskite oxides and halidesCited by: 666
Author(s): Christopher J. Bartel, Christopher Sutton, Bryan R. Goldsmith, Runhai Ouyang, Charles B. Musgrave, Luca M. Ghiringhelli, Matthias Scheffler
Software Mentions: 2
Published: almost 7 years ago
10.1038/s41598-019-43403-3
Recognition of 3′-end L1, Alu, processed pseudogenes, and mRNA stem-loops in the human genome using sequence-based and structure-based machine-learning modelsCited by: 0
Author(s): Alexander Shein, Anton Zaikin, Maria Poptsova
Software Mentions: 2
Published: over 6 years ago
10.1126/sciadv.abd7954
Prostaglandin E <sub>2</sub> promotes intestinal inflammation via inhibiting microbiota-dependent regulatory T cellsCited by: 39
Author(s): Siobhan Crittenden, Marie Goepp, Jolinda Pollock, Calum T. Robb, Danielle J. Smyth, You Zhou, Robert Andrews, Victoria J. Tyrrell, Konstantinos Gkikas, Alexander Adima, Richard A. O’Connor, Luke C. Davies, Xuefeng Li, Hatti X. Yao, Gwo‐Tzer Ho, Xiaozhong Zheng, Amil Mair, Sonja Vermeren, Bin‐Zhi Qian, Damian J. Mole, Konstantinos Gerasimidis, Jürgen Schwarze, Richard M. Breyer, Mark J. Arends, Valerie Bridget O'Donnell, John P. Iredale, Stephen M. Anderton, Shuh Narumiya, Rick M. Maizels, Adriano G. Rossi, Sarah Howie, Chengcan Yao
Software Mentions: 2
Published: over 4 years ago
10.7554/eLife.10134
Affinity and dose of TCR engagement yield proportional enhancer and gene activity in CD4+ T cellsCited by: 62
Author(s): Karmel A. Allison, Enikö Sajti, Jana G. Collier, David Gosselin, Ty D. Troutman, Erica L. Stone, Stephen M. Hedrick, Christopher K. Glass
Software Mentions: 2
Published: over 9 years ago
10.7554/eLife.61277
Neuronal timescales are functionally dynamic and shaped by cortical microarchitectureCited by: 122
Author(s): Richard Gao, Ruud L. van den Brink, Thomas Pfeffer, Bradley Voytek
Software Mentions: 2
Published: almost 5 years ago
10.7554/eLife.63591
Functional specialization within the inferior parietal lobes across cognitive domainsCited by: 49
Author(s): Ole Numssen, Danilo Bzdok, Gesa Hartwigsen
Software Mentions: 2
Published: over 4 years ago
10.7554/eLife.42138
Motor context dominates output from purkinje cell functional regions during reflexive visuomotor behavioursCited by: 35
Author(s): Laura D. Knogler, Andreas M. Kist, Rubén Portugues
Software Mentions: 2
Published: almost 7 years ago
10.1038/s41598-019-45333-6
EEG Decoding Reveals the Strength and Temporal Dynamics of Goal-Relevant RepresentationsCited by: 31
Author(s): Jason Hubbard, Atsushi Kikumoto, Ulrich Mayr
Software Mentions: 2
Published: over 6 years ago
10.7554/eLife.45160
Attentional amplification of neural codes for number independent of other quantities along the dorsal visual streamCited by: 47
Author(s): Elisa Castaldi, Manuela Piazza, Stanislas Dehaene, Alexandre Vignaud, Evelyn Eger
Software Mentions: 2
Published: over 6 years ago
10.1371/journal.pone.0181152
Cerebral 18F-FDG PET in macrophagic myofasciitis: An individual SVM-based approachCited by: 6
Author(s): Paul Blanc-Durand, Axel Van Der Gucht, Éric Guedj, Mukedaisi Abulizi, Mehdi Aoun-Sebaïti, Lionel Lerman, Antoine Verger, François‐Jérôme Authier, Emmanuel Itti
Software Mentions: 2
Published: over 8 years ago
10.7554/eLife.62046
Single-molecule view of coordination in a multi-functional DNA polymeraseCited by: 10
Author(s): Raymond F. Pauszek, Rajan Lamichhane, Arishma Rajkarnikar Singh, David P. Millar
Software Mentions: 2
Published: over 4 years ago
10.18632/oncotarget.10027
iHyd-PseCp: Identify hydroxyproline and hydroxylysine in proteins by incorporating sequence-coupled effects into general PseAACCited by: 144
Author(s): Wang-Ren Qiu, Bo Sun, Xuan Xiao, Zhaochun Xu, Kuo‐Chen Chou
Software Mentions: 2
Published: over 9 years ago
10.7554/eLife.08935
Human blindsight is mediated by an intact geniculo-extrastriate pathwayCited by: 101
Author(s): Sara Ajina, Franco Pestilli, Ariel Rokem, Christopher Kennard, Holly Bridge
Software Mentions: 2
Published: about 10 years ago
10.1371/journal.pone.0230136
BRAF V600E mutational load as a prognosis biomarker in malignant melanomaCited by: 9
Author(s): Arrate Sevilla, María–Celia Morales, Pilar Ariadna Ezkurra, Javier Rasero, Verónica Velasco, Goikoane Cancho-Galan, Ana Sánchez-Díez, Karmele Mujika, Cristina Penas, Isabel Smith, Aintzane Asumendi, Jesús M. Cortés, María Dolores Boyano, Santos Alonso
Software Mentions: 2
Published: over 5 years ago
10.7554/eLife.57148
Dynamic encoding of social threat and spatial context in the hypothalamusCited by: 14
Author(s): Piotr Krzywkowski, Beatrice Penna, Cornelius Gross
Software Mentions: 2
Published: about 5 years ago
10.1038/s41598-019-47484-y
Comprehensive feature selection for classifying the treatment outcome of high-intensity ultrasound therapy in uterine fibroidsCited by: 20
Author(s): Visa Suomi, Gaber Komar, Teija Sainio, Kirsi Joronen, Antti Perheentupa, Roberto Blanco Sequeiros
Software Mentions: 2
Published: over 6 years ago
10.7554/eLife.60336
The amygdala instructs insular feedback for affective learningCited by: 14
Author(s): Dominic Kargl, Joanna Kaczanowska, Sophia Ulonska, Florian Groessl, Łukasz Piszczek, Jelena Lazović, Katja Buehler, Wulf Haubensak
Software Mentions: 2
Published: almost 5 years ago
10.1186/s12967-018-1702-5
Machine-learned models using hematological inflammation markers in the prediction of short-term acute coronary syndrome outcomesCited by: 14
Author(s): Konrad Pieszko, Jarosław Hiczkiewicz, Paweł Budzianowski, Janusz Rzeźniczak, Jan Budzianowski, Jerzy Błaszczyński, Roman Słowiński, Paweł Burchardt
Software Mentions: 2
Published: almost 7 years ago
10.1371/journal.pone.0250458
Increasing prediction accuracy of pathogenic staging by sample augmentation with a GANCited by: 8
Author(s): Chang‐Hyuk Kwon, Sangjin Park, Soohyun Ko, Jaegyoon Ahn
Software Mentions: 2
Published: over 4 years ago
10.7554/eLife.36652
Functional gradients of the cerebellumCited by: 264
Author(s): Xavier Guell, Jeremy D. Schmahmann, John D. E. Gabrieli, Samik Ghosh
Software Mentions: 2
Published: about 7 years ago
10.1371/journal.pone.0232376
Deep learning in rare disease. Detection of tubers in tuberous sclerosis complexCited by: 20
Author(s): Iván Sánchez Fernández, Edward Yang, Paola Calvachi, Marta Amengual‐Gual, Joyce Wu, Darcy A. Krueger, Hope Northrup, Martina Bebin, Mustafa Şahin, Kun‐Hsing Yu, Jurriaan M. Peters
Software Mentions: 2
Published: over 5 years ago
10.1371/journal.pone.0246980
Development and validation of a cellular host response test as an early diagnostic for sepsisCited by: 17
Author(s): Lionel Guillou, Roya Sheybani, Anne E. Jensen, Dino Di Carlo, Terrell Caffery, Christopher Thomas, Ajay Shah, Henry T. K. Tse, Hollis R. O’Neal
Software Mentions: 2
Published: over 4 years ago
10.3389/fneur.2019.00655
Quantifying the Confidence in fMRI-Based Language Lateralisation Through Laterality Index DeconstructionCited by: 7
Author(s): Martin Wegrzyn, Markus Mertens, Christian G. Bien, Friedrich G. Woermann, Kirsten Labudda
Software Mentions: 2
Published: over 6 years ago
10.1371/journal.pone.0254720
Evaluating the impact of multivariate imputation by MICE in feature selectionCited by: 22
Author(s): Maritza Mera-Gaona, Ursula Neumann, Rubiel Vargas-Cañas, Diego M. López
Software Mentions: 2
Published: over 4 years ago
10.1038/s41598-019-48273-3
Link clustering explains non-central and contextually essential genes in protein interaction networksCited by: 2
Author(s): Inhae Kim, Heetak Lee, Kwanghwan Lee, Seong Kyu Han, Donghyo Kim, Sanguk Kim
Software Mentions: 2
Published: over 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: about 7 years ago
10.3390/ijms22136791
Using RNA-Sequencing Data to Examine Tissue-Specific Garlic MicrobiomesCited by: 7
Author(s): Yeonhwa Jo, Chang–Gi Back, Kook‐Hyung Kim, Hyosub Chu, Jeong Hun Lee, Sang Hyun Moh, Won Kyong Cho
Software Mentions: 1
Published: over 4 years ago
10.3390/ijms22147721
Performance Comparisons of AlexNet and GoogLeNet in Cell Growth Inhibition IC50 PredictionCited by: 8
Author(s): Yeeun Lee, Seungyoon Nam
Software Mentions: 1
Published: over 4 years ago
10.3390/ijms22158027
PON-Sol2: Prediction of Effects of Variants on Protein SolubilityCited by: 9
Author(s): Yang Yang, Lianjie Zeng, Mauno Vihinen
Software Mentions: 1
Published: over 4 years ago
10.2196/28361
Developing a time-adaptive prediction model for out-of-hospital cardiac arrest: Results from a nationwide cohort study in Korea (Preprint)Cited by: 2
Author(s): Ji Woong
Software Mentions: 1
Published: over 4 years ago
10.2196/11756
Understanding User Experience: Exploring Participants’ Messages With a Web-Based Behavioral Health Intervention for Adolescents With Chronic PainCited by: 5
Author(s): Annie Chen, Aarti Swaminathan, William R. Kearns, Nicole M. Alberts, Emily F. Law, Tonya M. Palermo
Software Mentions: 1
Published: over 6 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: about 6 years ago
10.2196/12910
Using Machine Learning to Derive Just-In-Time and Personalized Predictors of Stress: Observational Study Bridging the Gap Between Nomothetic and Ideographic ApproachesCited by: 14
Author(s): Alan Rozet, Ian M. Kronish, Joseph E. Schwartz, Karina W. Davidson
Software Mentions: 1
Published: over 6 years ago
10.2196/24996
Machine Learning–Driven Models to Predict Prognostic Outcomes in Patients Hospitalized With Heart Failure Using Electronic Health Records: Retrospective StudyCited by: 11
Author(s): Haichen Lv, Xiaolei Yang, Bingyi Wang, Shaobo Wang, Xiaoyan Du, Qian Tan, Zhujing Hao, Ying Liu, Jun Yan, Yunlong Xia
Software Mentions: 1
Published: over 4 years ago
10.2196/25053
Establishing Machine Learning Models to Predict Curative Resection in Early Gastric Cancer with Undifferentiated Histology: Development and Usability StudyCited by: 23
Author(s): Chang Seok Bang, Ji Yong Ahn, Joo Hang Kim, Young Il Kim, Il Ju Choi, Woon Geon Shin
Software Mentions: 1
Published: over 4 years ago
10.2196/27059
Mining and Validating Social Media Data for COVID-19–Related Human Behaviors Between January and July 2020: Infodemiology StudyCited by: 7
Author(s): Ashlynn R. Daughton, Courtney D Shelley, Martha Underwood Barnard, Dax Gerts, Chrysm Watson Ross, Isabel Crooker, Gopal Nadiga, Nilesh Mukundan, Nidia Yadria Vaquera Chavez, Nidhi Parikh, Travis Pitts, Geoffrey Fairchild
Software Mentions: 1
Published: over 4 years ago
10.2196/11029
Mood Prediction of Patients With Mood Disorders by Machine Learning Using Passive Digital Phenotypes Based on the Circadian Rhythm: Prospective Observational Cohort StudyCited by: 100
Author(s): Chul Hyun Cho, Taek Lee, Min Gwan Kim, Hoh Peter In, Heon Jeong Lee
Software Mentions: 1
Published: over 6 years ago
10.2196/25535
Accurately Differentiating Between Patients With COVID-19, Patients With Other Viral Infections, and Healthy Individuals: Multimodal Late Fusion Learning ApproachCited by: 30
Author(s): Mengyi Xu, Liu Ouyang, Lei Han, Kai Sun, Tong-Fu Yu, Qian Li, Hua Tian, Lida Safarnejad, Hengdong Zhang, Yue Gao, Forrest Sheng Bao, Yuanfang Chen, Patrick Robinson, Yaorong Ge, Baoli Zhu, Jie Liu, Shi Chen
Software Mentions: 1
Published: almost 5 years ago
10.2196/13090
Identifying Protective Health Behaviors on Twitter: Observational Study of Travel Advisories and Zika VirusCited by: 41
Author(s): Ashlynn R. Daughton, Michael J. Paul
Software Mentions: 1
Published: over 6 years ago
10.2196/jmir.7754
Recommending Education Materials for Diabetic Questions Using Information Retrieval ApproachesCited by: 9
Author(s): Yuqun Zeng, Xusheng Liu, Yanshan Wang, Feichen Shen, Sijia Liu, Majid Rastegar-Mojarad, Liwei Wang, Hongfang Liu
Software Mentions: 1
Published: about 8 years ago
10.2196/26843
Predicting Kidney Graft Survival Using Machine Learning Methods: Prediction Model Development and Feature Significance Analysis StudyCited by: 12
Author(s): Syed Asil Ali Naqvi, Karthik Tennankore, Amanda J. Vinson, Patrice Roy, Syed Sibte Raza Abidi
Software Mentions: 1
Published: about 4 years ago
10.2196/14007
Automatically Appraising the Credibility of Vaccine-Related Web Pages Shared on Social Media: A Twitter Surveillance StudyCited by: 38
Author(s): Zubair Shah, Didi Surian, Amalie Dyda, Enrico Coiera, Kenneth D Mandl, Adam G. Dunn
Software Mentions: 1
Published: about 6 years ago
10.2196/jmir.4466
Using Twitter Data to Gain Insights into E-cigarette Marketing and Locations of Use: An Infoveillance StudyCited by: 80
Author(s): Annice Kim, Tim Hopper, Sean Simpson, James Nonnemaker, Alicea Lieberman, Heather Hansen, Jamie Guillory, Lauren Porter
Software Mentions: 1
Published: about 10 years ago
10.2196/17478
Machine Learning Classifiers for Twitter Surveillance of Vaping: Comparative Machine Learning StudyCited by: 20
Author(s): Shyam Visweswaran, Jason B. Colditz, Patrick O’Halloran, Na-Rae Han, Sanya Bathla Taneja, Joel Welling, Kar-Hai Chu, Jaime E. Sidani, Brian A. Primack
Software Mentions: 1
Published: over 5 years ago
10.1016/j.chom.2018.12.001
HIV-1 Neutralizing Antibody Signatures and Application to Epitope-Targeted Vaccine DesignCited by: 113
Author(s): Christine A. Bricault, Karina Yusim, Michael S. Seaman, Hyejin Yoon, James Theiler, Elena E. Giorgi, Kshitij Wagh, Maxwell Theiler, Peter Hraber, Jennifer P. Macke, Edward F. Kreider, Gerald H. Learn, Beatrice H. Hahn, Johannes F. Scheid, Julie A. Kovacs, Jennifer L. Shields, Christy L. Lavine, Fadi Ghantous, Michael Rist, Madeleine Bayne, George H. Neubauer, Katherine McMahan, Hanqin Peng, Coraline Chéneau, Jennifer Jones, Jie Zeng, Christina Ochsenbauer, Joseph P. Nkolola, Kathryn E. Stephenson, Bing Chen, S. Gnanakaran, Mattia Bonsignori, LaTonya D. Williams, Barton F. Haynes, Nicole A. Doria‐Rose, John R. Mascola, David C. Montefiori, Dan H. Barouch, Bette Korber
Software Mentions: 1
Published: almost 7 years ago
10.2196/25442
An Artificial Intelligence Model to Predict the Mortality of COVID-19 Patients at Hospital Admission Time Using Routine Blood Samples: Development and Validation of an Ensemble ModelCited by: 57
Author(s): Hoon Ko, Ho Young Chung, Wu Seong Kang, Chul Park, Do Wan Kim, Seong Eun Kim, Chi Ryang Chung, Ryoung Eun Ko, Hooseok Lee, Jae Ho Seo, Tae–Young Choi, Rafael Jaimes, Kyung Won Kim, Jin-Seok Lee
Software Mentions: 1
Published: almost 5 years ago
10.2196/15876
Leveraging Eye Tracking to Prioritize Relevant Medical Record Data: Comparative Machine Learning StudyCited by: 16
Author(s): Andrew J King, Gregory F. Cooper, Gilles Clermont, Harry Hochheiser, Miloš Hauskrecht, Dean F. Sittig
Software Mentions: 1
Published: over 5 years ago
10.1039/c9sc02677k
A deep neural network model for packing density predictions and its application in the study of 1.5 million organic moleculesCited by: 27
Author(s): Mohammad Atif Faiz Afzal, Aditya Sonpal, Mojtaba Haghighatlari, Andrew J. Schultz, Johannes Hachmann
Software Mentions: 1
Published: almost 7 years ago
10.1039/c8sc04175j
Learning continuous and data-driven molecular descriptors by translating equivalent chemical representationsCited by: 280
Author(s): Robin Winter, Floriane Montanari, Frank Noé, Djork-Arné Clevert
Software Mentions: 1
Published: almost 7 years ago
10.1039/d1sc01713f
Machine learning designs non-hemolytic antimicrobial peptidesCited by: 40
Author(s): Alice Capecchi, Xingguang Cai, Hippolyte Personne, Thilo Köhler, Christian van Delden, Jean‐Louis Reymond
Software Mentions: 1
Published: almost 5 years ago
10.1039/d0sc04235h
Data enhanced Hammett-equation: reaction barriers in chemical spaceCited by: 23
Author(s): Marco Bragato, Guido Falk von Rudorff, O. Anatole von Lilienfeld
Software Mentions: 1
Published: almost 6 years ago
10.1039/d1sc02150h
Combining machine learning and high-throughput experimentation to discover photocatalytically active organic moleculesCited by: 40
Author(s): Xiaobo Li, Phillip M. Maffettone, Yu Che, Tao Liu, Linjiang Chen, Andrew I. Cooper
Software Mentions: 1
Published: almost 5 years ago
10.3390/cancers13092190
Clinical Assay for the Early Detection of Colorectal Cancer Using Mass Spectrometric Wheat Germ Agglutinin Multiple Reaction MonitoringCited by: 8
Author(s): I-Jung Tsai, Emily Chia Yu Su, I‐Lin Tsai, Chun–Ming Lin
Software Mentions: 1
Published: over 4 years ago
10.1039/d0sc03287e
Understanding the geometric diversity of inorganic and hybrid frameworks through structural coarse-grainingCited by: 11
Author(s): Thomas C. Nicholas, Andrew L. Goodwin, Volker L. Deringer
Software Mentions: 1
Published: almost 6 years ago
10.1039/c9sc04944d
Datasets and their influence on the development of computer assisted synthesis planning tools in the pharmaceutical domainCited by: 66
Author(s): Amol Thakkar, Thierry Kogej, Jean‐Louis Reymond, Ola Engkvist, Esben Jannik Bjerrum
Software Mentions: 1
Published: almost 6 years ago
10.1161/CIRCOUTCOMES.118.005122
Privacy-Preserving Generative Deep Neural Networks Support Clinical Data SharingCited by: 171
Author(s): Brett K. Beaulieu‐Jones, Zhiwei Steven Wu, Charles E. Williams, Ran Lee, Sanjeev P. Bhavnani, James Brian Byrd, Casey S. Greene
Software Mentions: 1
Published: over 6 years ago
10.1007/s11571-019-09543-y
A hybrid model for EEG-based gender recognitionCited by: 24
Author(s): Ping Wang, Jianfeng Hu
Software Mentions: 1
Published: over 6 years ago
10.3390/cancers12071944
Machine Learning Approach to Forecast Chemotherapy-Induced Haematological Toxicities in Patients with RhabdomyosarcomaCited by: 9
Author(s): V. Cuplov, Nicolas André
Software Mentions: 1
Published: over 5 years ago
10.3389/fncir.2019.00038
Neural Correlates of Anesthesia in Newborn Mice and HumansCited by: 25
Author(s): Mattia Chini, Sabine Gretenkord, Johanna K. Kostka, Jastyn A. Pöpplau, Laura Cornelissen, Charles B. Berde, Ileana L. Hanganu‐Opatz, Sebastian H. Bitzenhofer
Software Mentions: 1
Published: over 6 years ago
10.3389/fnana.2021.643067
Deep Learning-Based Classification of GAD67-Positive Neurons Without the ImmunosignalCited by: 6
Author(s): Kotaro Yamashiro, Jiayan Liu, Nobuyoshi Matsumoto, Yuji Ikegaya
Software Mentions: 1
Published: over 4 years ago
10.3390/cancers13164104
Blood-Based Multi-Cancer Detection Using a Novel Variant Calling Assay (DEEPGENTM): Early Clinical ResultsCited by: 6
Author(s): Frédéric Ris, Minia Hellan, Jonathan Douissard, Jorgé Nieva, Frédéric Triponez, Yanghee Woo, David Gourichon, Nicolas Buchs, Leo Hans Buehler, Stefan Paul Moenig, Christophe Iselin, Wolfram Karenovicŝ, Patrick Petignat, Giang Thanh Lam, Manuela Undurraga Malinervo, Rebecca Tuttle, James R. Ouellette, Debashish Bose, Nael Ismail, Christian Toso
Software Mentions: 1
Published: about 4 years ago
10.3389/fninf.2020.00006
Prediction of Pilot's Reaction Time Based on EEG SignalsCited by: 17
Author(s): Bartosz Binias, Dariusz Myszor, Henryk Palus, Krzysztof A. Cyran
Software Mentions: 1
Published: over 5 years ago
10.3390/cancers12123721
Establishment of an Immunocompetent Metastasis Rat Model with Hepatocyte Cancer Stem CellsCited by: 2
Author(s): Semon Wu, I-Chieh Tseng, Wen Cheng Huang, Cheng-Wen Su, Yu‐Heng Lai, Che Lin, Alan Yueh‐Luen Lee, Chan‐Yen Kuo, Li Su, Ming‐Cheng Lee, Te-Cheng Hsu, Chun-Hsien Yu
Software Mentions: 1
Published: almost 5 years ago
10.3389/fninf.2021.577451
Evaluation of Task fMRI Decoding With Deep Learning on a Small Sample DatasetCited by: 5
Author(s): Sunao Yotsutsuji, Miaomei Lei, Hiroyuki Akama
Software Mentions: 1
Published: over 4 years ago
10.3389/fninf.2018.00094
An Automated Pipeline for the Analysis of PET Data on the Cortical SurfaceCited by: 15
Author(s): Arnaud Marcoux, Ninon Burgos, Anne Bertrand, Marc Teichmann, Alexandre Routier, Junhao Wen, Jorge Samper‐Gonzàlez, Simona Bottani, Stanley Durrleman, Marie‐Odile Habert, Olivier Colliot
Software Mentions: 1
Published: almost 7 years ago
10.3390/cancers13102305
Biomarkers of Oncogenesis, Adipose Tissue Dysfunction and Systemic Inflammation for the Detection of Hepatocellular Carcinoma in Patients with Nonalcoholic Fatty Liver DiseaseCited by: 21
Author(s): Gian Paolo Caviglia, Angelo Armandi, Chiara Rosso, Silvia Gaia, Serena Aneli, Emanuela Rolle, Maria Lorena Abate, Antonella Olivero, Aurora Nicolosi, Marta Guariglia, Davide Giuseppe Ribaldone, P. Carucci, Giorgio Maria Saracco, Elisabetta Bugianesi
Software Mentions: 1
Published: over 4 years ago
10.3390/cancers12123858
A Confidence Habitats Methodology in MR Quantitative Diffusion for the Classification of Neuroblastic TumorsCited by: 4
Author(s): L. Cerdá Alberich, C. Sangüesa Nebot, Ángel Alberich-Bayarri, José Miguel Carot Sierra, Blanca Martínez de las Heras, Diana Veiga‐Canuto, Adela Cañete, Luis Martí‐Bonmatí
Software Mentions: 1
Published: almost 5 years ago
10.3389/fninf.2018.00064
APPIAN: Automated Pipeline for PET Image AnalysisCited by: 11
Author(s): Thomas Funck, Kevin Larcher, Paule-Joanne Toussaint, Alan C. Evans, Alexander Thiel
Software Mentions: 1
Published: about 7 years ago
10.1371/journal.pone.0252068
Statistical methods versus machine learning techniques for donor-recipient matching in liver transplantationCited by: 14
Author(s): David Guijo-Rubio, Javier Briceño, Pedro Antonio Gutiérrez, María Dolores Ayllón, Rubén Ciria, César Hervás-Martı́nez
Software Mentions: 1
Published: over 4 years ago
10.1371/journal.pone.0218642
A machine learning algorithm predicts molecular subtypes in pancreatic ductal adenocarcinoma with differential response to gemcitabine-based versus FOLFIRINOX chemotherapyCited by: 48
Author(s): Georgios Kaissis, Sebastian Ziegelmayer, Fabian Lohöfer, Katja Steiger, Hana Algül, Alexander Muckenhuber, Hsi-Yu Yen, Ernst J. Rummeny, Helmut Frieß, Roland M. Schmid, Wilko Weichert, Jens T. Siveke, Rickmer Braren
Software Mentions: 1
Published: about 6 years ago
10.3389/fneur.2021.613967
Diagnostic Performance of MRI Volumetry in Epilepsy Patients With Hippocampal Sclerosis Supported Through a Random Forest Automatic Classification AlgorithmCited by: 8
Author(s): Juan Pablo Princich, Patricio Andrés Donnelly-Kehoe, Alvaro Deleglise, Mariana Nahir Vallejo-Azar, Guido Orlando Pascariello, Pablo Seoane, Jose Gabriel Veron Do Santos, Santiago Collavini, Alejandro Nasimbera, Silvia Kochen
Software Mentions: 1
Published: over 4 years ago
10.3389/fneur.2020.548305
Distinguishing Focal Cortical Dysplasia From Glioneuronal Tumors in Patients With Epilepsy by Machine LearningCited by: 6
Author(s): Yi Guo, Yushan Liu, Wenjie Ming, Zhongjin Wang, Junming Zhu, Chen Yang, Lijun Yao, Meiping Ding, Chun‐Hong Shen
Software Mentions: 1
Published: almost 5 years ago
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 4 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: about 5 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 7 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 6 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: over 4 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: over 4 years ago
10.1186/s12984-018-0446-z
Vision-based assessment of parkinsonism and levodopa-induced dyskinesia with pose estimationCited by: 68
Author(s): Michael H. Li, Tiago Mestre, Susan H. Fox, Babak Taati
Software Mentions: 1
Published: about 7 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 4 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 4 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: over 4 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: about 6 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: about 10 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: over 11 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: over 5 years ago