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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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/fncom.2020.580632
DNNBrain: A Unifying Toolbox for Mapping Deep Neural Networks and BrainsCited by: 11
Author(s): Xiayu Chen, Ming Zhou, Zhengxin Gong, Wei Xu, Xingyu Liu, Taicheng Huang, Zonglei Zhen, Jia Liu
Software Mentions: 4
Published: almost 6 years ago
10.3389/fncom.2018.00056
Modern Machine Learning as a Benchmark for Fitting Neural ResponsesCited by: 52
Author(s): Ari S. Benjamin, Hugo L. Fernandes, Tucker Tomlinson, Pavan Ramkumar, Chris VerSteeg, Raeed H. Chowdhury, Lee E. Miller, Konrad Kording
Software Mentions: 4
Published: about 8 years ago
10.1371/journal.pbio.3001306
Dynamic landscape of protein occupancy across the Escherichia coli chromosomeCited by: 18
Author(s): Peter L. Freddolino, Haley M. Amemiya, Thomas J. Goss, Saeed Tavazoie
Software Mentions: 4
Published: over 5 years ago
10.1186/s12859-019-2680-1
Probabilistic ancestry maps: a method to assess and visualize population substructures in geneticsCited by: 19
Author(s): Héléna A. Gaspar, Gerome Breen
Software Mentions: 4
Published: over 7 years ago
10.7150/thno.55676
A panel of selected serum protein biomarkers for the detection of aggressive prostate cancerCited by: 12
Author(s): Jin Song, Shiyong Ma, Lori J. Sokoll, Rodrigo Vargas Eguez, Naseruddin Höti, Hui Zhang, Phaedre Mohr, Renu Dua, Dattatraya Patil, Kristen Douglas May, Sierra Williams, Rebecca S. Arnold, Martin G. Sanda, Daniel W. Chan, Zhen Zhang
Software Mentions: 4
Published: almost 6 years ago
10.1186/1752-0509-7-S6-S16
Active enhancer positions can be accurately predicted from chromatin marks and collective sequence motif dataCited by: 14
Author(s): Agnieszka Podsiadło, Mariusz Wrzesień, Wiesław Paja, Witold R. Rudnicki, Bartek Wilczyński
Software Mentions: 4
Published: almost 13 years ago
10.3390/diagnostics11050738
Automated CT Lung Density Analysis of Viral Pneumonia and Healthy Lungs Using Deep Learning-Based Segmentation, Histograms and HU ThresholdsCited by: 8
Author(s): Andrej Romanov, Michael Bach, Shan Yang, Fabian Franzeck, Gregor Sommer, Constantin Anastasopoulos, Jens Bremerich, Bram Stieltjes, Thomas Weikert, Alexander Sauter
Software Mentions: 4
Published: over 5 years ago
10.34133/2020/5839856
“Macrobot”: An Automated Segmentation-Based System for Powdery Mildew Disease QuantificationCited by: 15
Author(s): Stefanie Lück, Marc Strickert, Maximilian Lorbeer, Friedrich Melchert, Andreas Backhaus, David Kilias, Udo Seiffert, Dimitar Douchkov
Software Mentions: 4
Published: almost 7 years ago
10.1371/journal.pcbi.1009014
Galaxy-ML: An accessible, reproducible, and scalable machine learning toolkit for biomedicineCited by: 8
Author(s): Qiang Gu, Anup Kumar, Simon Bray, Allison Creason, Alireza Khanteymoori, Vahid Jalili, Björn Grüning, Jeremy Goecks
Software Mentions: 4
Published: over 5 years ago
10.3389/fgene.2019.01182
Graph Embedding Deep Learning Guides Microbial Biomarkers' IdentificationCited by: 19
Author(s): Qiang Zhu, Xingpeng Jiang, Qing Zhu, Min Pan, Tingting He
Software Mentions: 4
Published: almost 7 years ago
10.3389/fncel.2021.668230
Impaired Adaptation and Laminar Processing of the Oddball Paradigm in the Primary Visual Cortex of Fmr1 KO MouseCited by: 4
Author(s): Alexandr Pak, Samuel T. Kissinger, Alexander A. Chubykin
Software Mentions: 4
Published: over 5 years ago
10.3390/s21134546
Diagnostic of Operation Conditions and Sensor Faults Using Machine Learning in Sucker-Rod Pumping WellsCited by: 6
Author(s): João Nascimento, André Laurindo Maitelli, C. W. S. P. Maitelli, Anderson Luiz de Oliveira Cavalcanti
Software Mentions: 4
Published: over 5 years ago
10.1371/journal.pmed.1002683
Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional studyCited by: 809
Author(s): John R. Zech, Marcus A. Badgeley, Manway Liu, Anthony Costa, J. Titano, Eric K. Oermann
Software Mentions: 4
Published: almost 8 years ago
10.3390/s21186020
Biometric Identification Based on Eye Movement Dynamic FeaturesCited by: 3
Author(s): Katarzyna Harężlak, Michal Blasiak, Paweł Kasprowski
Software Mentions: 4
Published: about 5 years ago
10.1016/j.cels.2019.11.006
Guiding the Refinement of Biochemical Knowledgebases with Ensembles of Metabolic Networks and Machine LearningCited by: 44
Author(s): Gregory L. Medlock, Jason A. Papin
Software Mentions: 4
Published: almost 7 years ago
10.3390/s21124172
Uplink vs. Downlink: Machine Learning-Based Quality Prediction for HTTP Adaptive Video StreamingCited by: 7
Author(s): Frank Loh, Fabian Poignée, Florian Wamser, Ferdinand Leidinger, Tobias Hoßfeld
Software Mentions: 4
Published: over 5 years ago
10.1093/scan/nsaa141
HyPyP: a Hyperscanning Python Pipeline for inter-brain connectivity analysisCited by: 38
Author(s): Anaël Ayrolles, Florence Brun, Yi‐Ping Phoebe Chen, Amir Djalovski, Yann Beauxis, Richard Delorme, Thomas Bourgeron, Suzanne Dikker, Guillaume Dumas
Software Mentions: 4
Published: almost 6 years ago
10.3389/fimmu.2020.552596
Toward a Better Understanding of Bioassays for the Development of Biopharmaceuticals by Exploring the Structure-Antibody-Dependent Cellular Cytotoxicity Relationship in Human Primary CellsCited by: 2
Author(s): Sébastien Wieckowski, Cécile Avenal, Arturo V. Orjalo, Daniel Gygax, Florian Cymer
Software Mentions: 4
Published: almost 6 years ago
10.1186/s12870-021-03070-x
Natural variation in wild tomato trichomes; selecting metabolites that contribute to insect resistance using a random forest approachCited by: 13
Author(s): Ruy Kortbeek, Marc Galland, Aleksandra Muras, Frans van der Kloet, Bart André, Maurice Heilijgers, Sacha A. F. T. van Hijum, Michel A. Haring, Robert C. Schuurink, Petra Bleeker
Software Mentions: 4
Published: over 5 years ago
10.1186/s12870-014-0276-5
Populus tremula (European aspen) shows no evidence of sexual dimorphismCited by: 46
Author(s): Kathryn M. Robinson, Nicolas Delhomme, Niklas Mähler, Bastian Schiffthaler, Jenny Önskog, Benedicte Riber Albrectsen, Pär K. Ingvarsson, Torgeir R. Hvidsten, Stefan Jansson, Nathaniel R. Street
Software Mentions: 4
Published: almost 12 years ago
10.1371/journal.pcbi.1006520
Molecular characterization of breast and lung tumors by integration of multiple data types with functional sparse-factor analysisCited by: 13
Author(s): Tycho Bismeijer, Sander Canisius, Lodewyk Wessels
Software Mentions: 4
Published: almost 8 years ago
10.1371/journal.pcbi.1008914
WormPose: Image synthesis and convolutional networks for pose estimation in C. elegansCited by: 29
Author(s): Laetitia Hebert, Tosif Ahamed, Á. S. Costa, Liam O’Shaughnessy, Greg J. Stephens
Software Mentions: 4
Published: over 5 years ago
10.3389/fgene.2020.00513
Estimating Conformational Traits in Dairy Cattle With DeepAPS: A Two-Step Deep Learning Automated Phenotyping and Segmentation ApproachCited by: 13
Author(s): Jessica Nye, Laura M. Zingaretti, Miguel Pérez‐Enciso
Software Mentions: 4
Published: over 6 years ago
10.3390/s21093204
Hand Gesture Recognition Using EGaIn-Silicone Soft SensorsCited by: 10
Author(s): Sungtae Shin, Han Ul Yoon, Byung Hoon Yoo
Software Mentions: 4
Published: over 5 years ago
10.1128/mSystems.00211-19
Identification of Primary Antimicrobial Resistance Drivers in Agricultural Nontyphoidal Salmonella enterica Serovars by Using Machine LearningCited by: 16
Author(s): Finlay Maguire, Muhammad Attiq Rehman, Catherine D. Carrillo, Moussa S. Diarra, Robert G. Beiko
Software Mentions: 4
Published: about 7 years ago
10.3390/ijms20194833
Skin Doctor: Machine Learning Models for Skin Sensitization Prediction that Provide Estimates and Indicators of Prediction ReliabilityCited by: 12
Author(s): Anke Wilm, Conrad Stork, Christoph Bauer, Andreas Schepky, Jochen Kühnl, Johannes Kirchmair
Software Mentions: 4
Published: about 7 years ago
10.1371/journal.pone.0246689
Can we detect conditioned variation in political speech? two kinds of discussion and types of conversationCited by: 2
Author(s): Sabina Sloman, Daniel M. Oppenheimer, Simon DeDeo
Software Mentions: 4
Published: over 5 years ago
10.1371/journal.pone.0222907
A comparison of machine learning algorithms for the surveillance of autism spectrum disorderCited by: 18
Author(s): Scott H. Lee, Matthew J. Maenner, Charles M. Heilig
Software Mentions: 4
Published: about 7 years ago
10.7554/eLife.19760
Compact and highly active next-generation libraries for CRISPR-mediated gene repression and activationCited by: 551
Author(s): Max A. Horlbeck, Luke A. Gilbert, Jacqueline E. Villalta, Brittany Susan Adamson, Ryan A. Pak, Yu‐Wen Chen, Alexander P. Fields, Chong Yon Park, Jacob E. Corn, Martin Kampmann, Jonathan S. Weissman
Software Mentions: 4
Published: about 10 years ago
10.1371/journal.pone.0241253
CaBagE: A Cas9-based Background Elimination strategy for targeted, long-read DNA sequencingCited by: 16
Author(s): Amelia D. Wallace, Thomas A Sasani, Jordan Swanier, Brooke L. Gates, Jeff Greenland, Brent S. Pedersen, Katherine E. Varley, Aaron R. Quinlan
Software Mentions: 4
Published: over 5 years ago
10.3389/fonc.2021.699789
Machine Learning-Based Analysis of Magnetic Resonance Radiomics for the Classification of Gliosarcoma and GlioblastomaCited by: 7
Author(s): Zenghui Qian, Lingling Zhang, Jie Hu, Shuguang Chen, Hongyan Chen, Huicong Shen, Fei Zheng, Yan-Nan Zang, Xuzhu Chen
Software Mentions: 4
Published: about 5 years ago
10.1371/journal.pone.0224143
Assessing reliability of intra-tumor heterogeneity estimates from single sample whole exome sequencing dataCited by: 14
Author(s): J. Abecassis, Anne-Sophie Hamy, Cécile Laurent, Benjamin Sadacca, Hélène Bonsang-Kitzis, Fabien Reyal, Jean-Philippe Vert
Software Mentions: 4
Published: almost 7 years ago
10.7554/eLife.38173
CaImAn an open source tool for scalable calcium imaging data analysisCited by: 495
Author(s): Andrea Giovannucci, Johannes Friedrich, Pat Gunn, Jérémie Kalfon, Brandon Brown, S. A. Koay, Jiannis Taxidis, Farzaneh Najafi, Jeffrey Gauthier, Pengcheng Zhou, Baljit S. Khakh, David W. Tank, Dmitri B. Chklovskii, Eftychios A. Pnevmatikakis
Software Mentions: 4
Published: over 7 years ago
10.3389/fnins.2021.626723
Beta and Theta Oscillations Correlate With Subjective Time During Musical Improvisation in Ecological and Controlled Settings: A Single Subject StudyCited by: 5
Author(s): Nicolas Farrugia, Alix Lamouroux, Christophe Rocher, Jules Bouvet, Giulia Lioi
Software Mentions: 4
Published: over 5 years ago
10.3390/s20092594
Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep LearningCited by: 21
Author(s): Delaram Jarchi, Javier Andreu-Pérez, Mehrin Kiani, Oldřich Vyšata, Jiří Kuchyňka, Aleš Procházka, Saeid Sanei
Software Mentions: 4
Published: over 6 years ago
10.2196/19069
Multidimensional Machine Learning Personalized Prognostic Model in an Early Invasive Breast Cancer Population-Based Cohort in China: Algorithm Validation StudyCited by: 8
Author(s): Xiaorong Zhong, Ting Luo, Ling Deng, Pei Liu, Kejia Hu, Donghao Lü, Dan Zheng, Chunying Luo, Yuxin Xie, Jiayuan Li, Ping He, Tianjie Pu, Feng Ye, Hong Bu, Bo Fu, Hong Zheng
Software Mentions: 4
Published: almost 6 years ago
10.2196/17364
Predicting Breast Cancer in Chinese Women Using Machine Learning Techniques: Algorithm DevelopmentCited by: 25
Author(s): Can Hou, Xiaorong Zhong, Ping He, Bin Xu, Sha Diao, Yi Fang, Hong Zheng, Jiayuan Li
Software Mentions: 4
Published: over 6 years ago
10.1186/s13321-021-00513-3
Deep learning integration of molecular and interactome data for protein–compound interaction predictionCited by: 4
Author(s): Narumi Watanabe, Yuuto Ohnuki, Yasubumi Sakakibara
Software Mentions: 4
Published: over 5 years ago
10.3389/fnins.2017.00398
Machine Learning Approach for Classifying Multiple Sclerosis Courses by Combining Clinical Data with Lesion Loads and Magnetic Resonance Metabolic FeaturesCited by: 45
Author(s): Adrian Ion-Mărgineanu, G. Kocevar, Claudio Stamile, Diana M. Sima, Françoise Durand‐Dubief, Sabine Van Huffel, Dominique Sappey-Marinier
Software Mentions: 4
Published: about 9 years ago
10.1186/s13321-018-0313-8
Chemlistem: chemical named entity recognition using recurrent neural networksCited by: 27
Author(s): Peter Corbett, John P. Boyle
Software Mentions: 4
Published: almost 8 years ago
10.7554/eLife.63377
DeepEthogram, a machine learning pipeline for supervised behavior classification from raw pixelsCited by: 61
Author(s): James P Bohnslav, Nivanthika K Wimalasena, Kelsey J Clausing, Yu Dai, David A. Yarmolinsky, Tomás Cruz, Adam D Kashlan, M. Eugenia Chiappe, Lauren L. Orefice, Clifford J. Woolf, Christopher D. Harvey
Software Mentions: 4
Published: about 5 years ago
10.3390/ijerph181910438
COVID-19 Vaccine Hesitancy in the Month Following the Start of the Vaccination ProcessCited by: 25
Author(s): Liviu‐Adrian Cotfas, Camelia Delcea, Rareș Gherai
Software Mentions: 4
Published: about 5 years ago
10.7554/eLife.57023
Retrieval practice facilitates memory updating by enhancing and differentiating medial prefrontal cortex representationsCited by: 14
Author(s): Zhifang Ye, Liang Shi, Anqi Li, Chuansheng Chen, Gui Xue
Software Mentions: 4
Published: over 6 years ago
10.1001/jamanetworkopen.2019.10399
Prevalence of Financial Considerations Documented in Primary Care Encounters as Identified by Natural Language Processing MethodsCited by: 5
Author(s): Meliha Skaljic, Ihsaan Patel, Amelia M. Pellegrini, Víctor M. Castro, Roy H. Perlis, Deborah D. Gordon
Software Mentions: 4
Published: about 7 years ago
10.1109/tbdata.2020.3035935
COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical LiteratureCited by: 47
Author(s): Yifan Peng, Yuxing Tang, Sungwon Lee, Yingying Zhu, Ronald M. Summers, Zhiyong Lu
Software Mentions: 4
Published: over 5 years ago
10.1371/journal.pone.0249424
miRGTF-net: Integrative miRNA-gene-TF network analysis reveals key drivers of breast cancer recurrenceCited by: 15
Author(s): Stepan Nersisyan, A. V. Galatenko, Vladimir Galatenko, M. Yu. Shkurnikov, Alexander G. Tonevitsky
Software Mentions: 4
Published: over 5 years ago
10.3389/fonc.2020.01065
Integrative Network Fusion: A Multi-Omics Approach in Molecular ProfilingCited by: 28
Author(s): Marco Chierici, Nicole Bussola, Alessia Marcolini, Margherita Francescatto, Alessandro Zandonà, Lucia Trastulla, Claudio Agostinelli, Giuseppe Jurman, Cesare Furlanello
Software Mentions: 4
Published: over 6 years ago
10.3390/s20174771
Scan-Chain-Fault Diagnosis Using Regressions in Cryptographic Chips for Wireless Sensor NetworksCited by: 4
Author(s): Hyun-Kyu Lim, Minho Cheong, Sungho Kang
Software Mentions: 4
Published: about 6 years ago
10.1371/journal.pone.0203839
Using wearable sensors to classify subject-specific running biomechanical gait patterns based on changes in environmental weather conditionsCited by: 40
Author(s): Nizam Uddin Ahamed, Dylan Kobsar, Lauren C. Benson, Christian A. Clermont, Russell Kohrs, Sean T. Osis, Reed Ferber
Software Mentions: 4
Published: about 8 years ago
10.1371/journal.pone.0213245
Optimizing predictive performance of criminal recidivism models using registration data with binary and survival outcomesCited by: 14
Author(s): Nikolaj Tollenaar, P.G.M. van der Heijden
Software Mentions: 4
Published: over 7 years ago
10.1038/s41598-021-98423-9
Non-invasive diagnostic tool for Parkinson’s disease by sebum RNA profile with machine learningCited by: 11
Author(s): Yuya Uehara, Shinichi Ueno, Haruka Amano-Takeshige, Shuji Suzuki, Yoko Imamichi, Mitsuhisa Fujimaki, Noriyasu Ota, Takatoshi Murase, Tsukasa Inoue, Sachio Saiki, Nobutaka Hattori
Software Mentions: 4
Published: about 5 years ago
10.1038/s41598-021-98249-5
Psychological factors shaping public responses to COVID-19 digital contact tracing technologies in GermanyCited by: 14
Author(s): Anastasia Kozyreva, Philipp Lorenz-Spreen, Stephan Lewandowsky, Paul Michael Garrett, Stefan M. Herzog, Thorsten Pachur, Ralph Hertwig
Software Mentions: 4
Published: about 5 years ago
10.3389/fonc.2021.694102
CEUS-Based Radiomics Can Show Changes in Protein Levels in Liver Metastases After Incomplete Thermal AblationCited by: 5
Author(s): Haiwei Bao, Ting Chen, Jianjun Zhu, Haiyang Xie, Fen Chen
Software Mentions: 4
Published: about 5 years ago
10.3390/s20133645
OpCode-Level Function Call Graph Based Android Malware Classification Using Deep LearningCited by: 24
Author(s): Weina Niu, Rong Cao, Xiaosong Zhang, Kangyi Ding, Kaimeng Zhang, Ting Li
Software Mentions: 4
Published: over 6 years ago
10.3389/fonc.2020.00418
Comparison and Fusion of Deep Learning and Radiomics Features of Ground-Glass Nodules to Predict the Invasiveness Risk of Stage-I Lung Adenocarcinomas in CT ScanCited by: 36
Author(s): Xianwu Xia, Jing Gong, Hao Wen, Ting Yang, Yeqing Lin, Shengping Wang, Weijun Peng
Software Mentions: 4
Published: over 6 years ago
10.1021/acs.jctc.1c00159
Beyond Tripeptides Two-Step Active Machine Learning for Very Large Data setsCited by: 18
Author(s): Alexander van Teijlingen, Tell Tuttle
Software Mentions: 4
Published: over 5 years ago
10.1371/journal.pone.0240200
Development of a severity of disease score and classification model by machine learning for hospitalized COVID-19 patientsCited by: 27
Author(s): Miguel Marcos, Moncef Belhassen‐García, Antonio Sánchez-Puente, Jesús Sampedro-Gómez, Raúl Azibeiro, P. Ignacio Dorado-Díaz, Edgard Marcano-Millán, Carolina García-Vidal, María-Teresa Moreiro-Barroso, Noelia Cubino-Bóveda, M. Ángeles Pérez-García, Beatriz Rodríguez‐Alonso, Daniel Encinas-Sánchez, Sonia Peña-Balbuena, Eduardo Sobejano-Fuertes, Sandra Inés, Cristina Carbonell, Miriam López-Parra, Fernanda Andrade-Meira, Amparo López‐Bernús, C. Lorenzo, Adela Carpio, David Polo-San-Ricardo, Miguel-Vicente Sánchez-Hernández, Rafael Borrás, Víctor Sagredo-Meneses, Pedro-Luis Sánchez, Àlex Soriano, José-Ángel Martín-Oterino
Software Mentions: 4
Published: over 5 years ago
10.3390/insects12020097
Anopheles gambiae Genome Conservation as a Resource for Rational Gene Drive Target Site SelectionCited by: 8
Author(s): Nace Kranjc, Andrea Crisanti, Tony Nolan, Federica Bernardini
Software Mentions: 4
Published: over 5 years ago
10.1186/s40246-021-00357-w
Evaluation of low-pass genome sequencing in polygenic risk score calculation for Parkinson’s diseaseCited by: 2
Author(s): Sung-Jae Kim, Jong-Yeon Shin, Nak‐Jung Kwon, Chang-Uk Kim, Changhoon Kim, Chong Sik Lee, Jeong‐Sun Seo
Software Mentions: 4
Published: about 5 years ago
10.3389/fnbot.2019.00076
Hybrid Brain-Computer-Interfacing for Human-Compliant Robots: Inferring Continuous Subjective Ratings With Deep RegressionCited by: 3
Author(s): Lukas Dominique Josef Fiederer, Martin A. Volker, Robin Tibor Schirrmeister, Wolfram Burgard, Joschka Boedecker, Tonio Ball
Software Mentions: 4
Published: almost 7 years ago
10.2196/mhealth.7820
Well-Being Tracking via Smartphone-Measured Activity and Sleep: Cohort StudyCited by: 38
Author(s): Orianna DeMasi, Sidney Feygin, Aluma Dembo, Adrián Aguilera, Benjamin Recht
Software Mentions: 4
Published: about 9 years ago
10.1107/S2052252520000895
The predictive power of data-processing statisticsCited by: 6
Author(s): M. Vollmar, James M. Parkhurst, Dominic Jaques, Arnaud Baslé, Garib N. Murshudov, David Waterman, Gwyndaf Evans
Software Mentions: 4
Published: over 6 years ago
10.7554/eLife.54082
Topology-driven protein-protein interaction network analysis detects genetic sub-networks regulating reproductive capacityCited by: 10
Author(s): Tarun Kumar, Leo Blondel, Cassandra G. Extavour
Software Mentions: 4
Published: about 6 years ago
10.1107/S2052252520008830
Machine learning deciphers structural features of RNA duplexes measured with solution X-ray scatteringCited by: 11
Author(s): Yen-Lin Chen, Lois Pollack
Software Mentions: 4
Published: about 6 years ago
10.1007/s10278-017-9965-6
Toolkits and Libraries for Deep LearningCited by: 110
Author(s): Bradley J. Erickson, Panagiotis Korfiatis, Zeynettin Akkus, Timothy L. Kline, Kenneth A. Philbrick
Software Mentions: 4
Published: over 9 years ago
10.3389/fonc.2020.610513
Tumor Immune Microenvironment Characterization in Hepatocellular Carcinoma Identifies Four Prognostic and Immunotherapeutically Relevant SubclassesCited by: 15
Author(s): Xingxing Gao, Hechen Huang, Yübo Wang, Caixu Pan, Shengyong Yin, Lin Zhou, Shusen Zheng
Software Mentions: 4
Published: over 5 years ago
10.3390/s16060790
Data-Driven Design of Intelligent Wireless Networks: An Overview and TutorialCited by: 49
Author(s): Merima Kulin, Carolina Fortuna, Eli De Poorter, Dirk Deschrijver, Ingrid Moerman
Software Mentions: 4
Published: over 10 years ago
10.7554/eLife.59780
On the objectivity, reliability, and validity of deep learning enabled bioimage analysesCited by: 25
Author(s): Dennis Segebarth, Matthias Griebel, Nikolai Stein, Cora R. von Collenberg, Corinna Martin, Dominik Fiedler, Lucas B. Comeras, Anupam Sah, Victoria Schoeffler, Teresa M. Lüffe, Alexander Dürr, Rohini Gupta, Manju Sasi, Christina Lillesaar, Maren D. Lange, Ramon Tasan, Nicolas Singewald, Hans‐Christian Pape, Christoph M. Flath, Robert Blum
Software Mentions: 4
Published: almost 6 years ago
10.3389/fphar.2021.708050
A Comparison of Nine Machine Learning Mutagenicity Models and Their Application for Predicting Pyrrolizidine AlkaloidsCited by: 5
Author(s): Christoph Helma, Verena Schöning, Jürgen Drewe, Philipp Boss
Software Mentions: 4
Published: about 5 years ago
10.3390/s17010066
A Comparison Study of Classifier Algorithms for Cross-Person Physical Activity RecognitionCited by: 29
Author(s): Yago Sáez, Alejandro Baldominos, Pedro Isasi
Software Mentions: 4
Published: almost 10 years ago
10.1155/2021/6668985
Deep Learning Approach for Discovery of In Silico Drugs for Combating COVID-19Cited by: 20
Author(s): Nishant Jha, Deepak Prashar, Mamoon Rashid, Mohammad Shafiq, Razaullah Khan, Catalin I. Pruncu, Shams Tabrez Siddiqui, Manindra Kumar
Software Mentions: 4
Published: about 5 years ago
10.3390/s20092504
Hyperspectral Classification of Cyperus esculentus Clones and Morphologically Similar WeedsCited by: 9
Author(s): Marlies Lauwers, Benny De Cauwer, David Nuyttens, Simon Cool, Jan Pieters
Software Mentions: 4
Published: over 6 years ago
10.7554/eLife.63711
Standardized and reproducible measurement of decision-making in miceCited by: 72
Author(s): Valeria Aguillon-Rodriguez, Dora E. Angelaki, H Bayer, Niccolò Bonacchi, Matteo Carandini, Fanny Cazettes, Gaelle Chapuis, Anne K. Churchland, Yang Dan, Eric DeWitt, Mayo Faulkner, Hamish Forrest, Laura Haetzel, Michael Häusser, Sonja B. Hofer, Fei Hu, Anup Khanal, Christopher Krasniak, Inês Laranjeira, Zachary F. Mainen, Guido T. Meijer, Nathaniel J Miska, Thomas D. Mrsic-Flogel, Masayoshi Murakami, Jean‐Paul Noel, Alejandro Pan-Vazquez, Cyrille Rossant, Joshua I. Sanders, Karolina Socha, Rebecca Terry, Anne E Urai, Hernando Vergara, Miles J. Wells, Christian J. Wilson, Ilana B. Witten, Lauren E Wool, Anthony M. Zador
Software Mentions: 4
Published: over 5 years ago
10.3390/s19245370
Anomaly Detections for Manufacturing Systems Based on Sensor Data—Insights into Two Challenging Real-World Production SettingsCited by: 35
Author(s): Klaus Kammerer, Burkhard Hoppenstedt, Rüdiger Pryss, Steffen Stökler, Johannes Allgaier, Manfred Reichert
Software Mentions: 4
Published: almost 7 years ago
10.1186/s13321-017-0243-x
eTOX ALLIES: an automated pipeLine for linear interaction energy-based simulationsCited by: 7
Author(s): Luigi Capoferri, Marc van Dijk, Ariën S. Rustenburg, Tsjerk A. Wassenaar, Derk P. Kooi, Eko Aditya Rifai, Nico Vermeulen, Daan P. Geerke
Software Mentions: 3
Published: almost 9 years ago
10.3390/jcm10092030
A Multiparametric MRI-Based Radiomics Analysis to Efficiently Classify Tumor Subregions of Glioblastoma: A Pilot Study in Machine LearningCited by: 13
Author(s): Fang-Ying Chiu, Nguyen Quoc Khanh Le, Cheng-Yu Chen
Software Mentions: 3
Published: over 5 years ago
10.1017/cts.2020.531
Developing image analysis pipelines of whole-slide images: Pre- and post-processingCited by: 12
Author(s): Byron H. Smith, Meyke Hermsen, Elizabeth R. Lesser, Deepak Ravichandar, Walter K. Kremers
Software Mentions: 3
Published: about 6 years ago
10.3389/fninf.2013.00012
Toward open sharing of task-based fMRI data: the OpenfMRI projectCited by: 277
Author(s): Russell A. Poldrack, M Deanna, James Mitchell, Tor D. Wager, Anthony D. Wagner, Joseph T. Devlin, Chad Cumba, Oluwasanmi Koyejo, Michael P. Milham
Software Mentions: 3
Published: almost 14 years ago
10.1007/s10827-015-0565-5
Reconstruction of recurrent synaptic connectivity of thousands of neurons from simulated spiking activityCited by: 41
Author(s): Yury V. Zaytsev, Abigail Morrison, Moritz Deger
Software Mentions: 3
Published: over 11 years ago
10.1007/s42001-020-00073-w
Estimation of socioeconomic attributes from location informationCited by: 1
Author(s): Shohei Doi, Takayuki Mizuno, Naoya Fujiwara
Software Mentions: 3
Published: over 6 years ago
10.3389/fninf.2016.00049
Pyrcca: Regularized Kernel Canonical Correlation Analysis in Python and Its Applications to NeuroimagingCited by: 54
Author(s): Natalia Y. Bilenko, Jack L. Gallant
Software Mentions: 3
Published: almost 10 years ago
10.3390/polym12122949
Artificial Neural Networks-Based Material Parameter Identification for Numerical Simulations of Additively Manufactured Parts by Material ExtrusionCited by: 20
Author(s): Paul Meißner, Hagen Watschke, Jens Winter, Thomas Vietor
Software Mentions: 3
Published: almost 6 years ago
10.1098/rsos.181806
Accurate wisdom of the crowd from unsupervised dimension reductionCited by: 1
Author(s): Lingfei Wang, Tom Michoel
Software Mentions: 3
Published: over 7 years ago
10.1038/s41598-021-95702-3
Geographic source estimation using airborne plant environmental DNA in dustCited by: 10
Author(s): Chelsea Lennartz, Joel Kurucar, Stephen Coppola, Janice Crager, Johanna Bobrow, Laura Bortolin, James C. Comolli
Software Mentions: 3
Published: about 5 years ago
10.1038/s41598-021-96674-0
Exploring deep learning capabilities for surge predictions in coastal areasCited by: 19
Author(s): Timothy Tiggeloven, Anaïs Couasnon, Chiem van Straaten, Sanne Muis, Philip J. Ward
Software Mentions: 3
Published: about 5 years ago
10.1038/s41598-021-97007-x
Delivery mode and perinatal antibiotics influence the predicted metabolic pathways of the gut microbiomeCited by: 7
Author(s): Petri Vänni, Mysore V. Tejesvi, Sofia Ainonen, Marjo Renko, Katja Korpela, Jarmo A. Salo, Niko Paalanne, Terhi Tapiainen
Software Mentions: 3
Published: about 5 years ago
10.1038/s41598-021-97257-9
Microglial ASD-related genes are involved in oligodendrocyte differentiationCited by: 4
Author(s): Yuta Takanezawa, Shihori Tanabe, Daiki Kato, Rie Ozeki, Masayo Komoda, Tatsunori Suzuki, Hiroko Baba, Rieko Muramatsu
Software Mentions: 3
Published: about 5 years ago
10.3389/fneur.2020.578571
Cognitive Processing Impacts High Frequency Intracranial EEG Activity of Human Hippocampus in Patients With Pharmacoresistant Focal EpilepsyCited by: 5
Author(s): Jan Cimbálník, Martin Pail, Petr Klimeš, Vojtech Travnicek, Róbert Román, Adam Vajčner, Milan Brázdil
Software Mentions: 3
Published: almost 6 years ago
10.1038/s41598-021-98387-w
Predicting medication adherence using ensemble learning and deep learning models with large scale healthcare dataCited by: 14
Author(s): Yingqi Gu, Akshay Zalkikar, Mingming Liu, Lara Kelly, Amy R. Hall, Kieran Daly, Tomás E. Ward
Software Mentions: 3
Published: about 5 years ago
10.1371/journal.pone.0113516
Breaking an Epigenetic Chromatin Switch: Curious Features of Hysteresis in Saccharomyces cerevisiae Telomeric SilencingCited by: 8
Author(s): Vijayalakshmi H. Nagaraj, Swagatam Mukhopadhyay, Adel Dayarian, Anirvan M. Sengupta
Software Mentions: 3
Published: almost 12 years ago
10.1371/journal.pone.0256858
A general method for estimating the prevalence of influenza-like-symptoms with Wikipedia dataCited by: 3
Author(s): Giovanni De Toni, Cristian Consonni, Alberto Montresor
Software Mentions: 3
Published: about 5 years ago
10.3389/fnbot.2018.00086
DeepDynamicHand: A Deep Neural Architecture for Labeling Hand Manipulation Strategies in Video Sources Exploiting Temporal InformationCited by: 3
Author(s): Visar Arapi, Cosimo Della Santina, Davide Bacciu, Matteo Bianchi, Antonio Bicchi
Software Mentions: 3
Published: almost 8 years ago
10.1371/journal.pone.0201264
Effective injury forecasting in soccer with GPS training data and machine learningCited by: 142
Author(s): Alessio Rossi, Luca Pappalardo, Paolo Cintia, F. Marcello Iaia, Javier Fernández, Daniel Medina
Software Mentions: 3
Published: about 8 years ago
10.3389/fnins.2021.691244
MRI Radiomic Signature of White Matter Hyperintensities Is Associated With Clinical PhenotypesCited by: 9
Author(s): Martin Bretzner, Anna K. Bonkhoff, Markus D. Schirmer, Sungmin Hong, Adrian V. Dalca, Kathleen Donahue, Anne‐Katrin Giese, Mark R. Etherton, Pamela M. Rist, Marco Nardin, Rǎzvan V. Marinescu, Clinton Wang, Robert W Regenhardt, Xavier Leclerc, Renaud Lopes, Oscar Benavente, John W. Cole, Amanda Donatti, Christoph J. Griessenauer, Laura Heitsch, Lukas Holmegaard, Katarina Jood, Jordi Jiménez‐Conde, Steven J. Kittner, Robin Lemmens, Christopher Levi, Patrick F. McArdle, Caitrin W. McDonough, James F. Meschia, Chia‐Ling Phuah, Arndt Rolfs, Stefan Ropele, Jonathan Rosand, Jaume Roquer, Tatjana Rundek, Ralph L. Sacco, Reinhold Schmidt, Pankaj Sharma, Agnieszka Słowik, Alessandro Sousa, Tara M. Stanne, Daniel Strbian, Turgut Tatlısumak, Vincent Thijs, Achala Vagal, Johan Wassélius, Daniel Woo, Ona Wu, Ramin Zand, Bradford B. Worrall, Jane Maguire, Arne Lindgren, Christina Jern, Polina Golland, Grégory Kuchcinski, Natalia S. Rost
Software Mentions: 3
Published: about 5 years ago
10.3390/s18082474
Detection of Talking in Respiratory Signals: A Feasibility Study Using Machine Learning and Wearable Textile-Based SensorsCited by: 21
Author(s): Andreas Ejupi, Carlo Menon
Software Mentions: 3
Published: about 8 years ago
10.3389/fnins.2019.01246
Whole-Brain Exploratory Analysis of Functional Task Response Following Erythropoietin Treatment in Mood Disorders: A Supervised Machine Learning ApproachCited by: 2
Author(s): Signe Tellerup Nielsen, Kristoffer Hougaard Madsen, Maj Vinberg, Lars Vedel Kessing, Hartwig R. Siebner, Kamilla Woznica Miskowiak
Software Mentions: 3
Published: almost 7 years ago
10.1371/journal.pone.0234003
Inferring transportation mode from smartphone sensors: Evaluating the potential of Wi-Fi and BluetoothCited by: 8
Author(s): Andreas Bjerre-Nielsen, Kelton Minor, Piotr Sapieżyński, Sune Lehmann, David Dreyer Lassen
Software Mentions: 3
Published: over 6 years ago
10.3390/s18113743
Characterizing Focused Attention and Working Memory Using EEGCited by: 35
Author(s): Zainab Mohamed, Mohamed El Halaby, Tamer Said, Doaa M. Shawky, Ashraf H. Badawi
Software Mentions: 3
Published: almost 8 years ago
10.3390/s18113779
Machine Learning Aided Scheme for Load Balancing in Dense IoT NetworksCited by: 29
Author(s): César Gómez, Abdallah Shami, Xianbin Wang
Software Mentions: 3
Published: almost 8 years ago
10.1371/journal.pone.0245026
Estimating pulse wave velocity from the radial pressure wave using machine learning algorithmsCited by: 17
Author(s): Wen Jin, Philip Chowienczyk, Jordi Alastruey
Software Mentions: 3
Published: over 5 years ago