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
10.3390/e21121181
Nonlinear Information BottleneckCited by: 71
Author(s): Artemy Kolchinsky, Brendan D. Tracey, David H. Wolpert
Software Mentions: 1
Published: almost 7 years ago
10.1007/s10661-020-08403-1
Prioritizing river basins for intensive monitoring and assessment by the US Geological SurveyCited by: 3
Author(s): Peter C. Van Metre, Sharon L. Qi, Jeffrey R. Deacon, Cheryl A. Dieter, Jessica M. Driscoll, Michael N. Fienen, Terry A. Kenney, Patrick M. Lambert, David Lesmes, Christopher A. Mason, Anke Mueller–Solger, MaryLynn Musgrove, Jaime A. Painter, Donald O. Rosenberry, Lori A. Sprague, Anthony J. Tesoriero, Lisamarie Windham‐Myers, David M. Wolock
Software Mentions: 1
Published: about 6 years ago
10.3390/curroncol28040275
A Machine Learning Approach to Predict Stress Hormones and Inflammatory Markers Using Illness Perception and Quality of Life in Breast Cancer PatientsCited by: 3
Author(s): Irina Crumpei-Tanasă, Iulia Crumpei
Software Mentions: 1
Published: about 5 years ago
10.1007/s00294-020-01070-2
Fungal Kti12 proteins display unusual linker regions and unique ATPase p-loopsCited by: 3
Author(s): Rościsław Krutyhołowa, Annekathrin Reinhardt-Tews, Andrzej Chramiec‐Głąbik, Karin D. Breunig, Sebastian Glatt
Software Mentions: 1
Published: over 6 years ago
10.1007/s00330-020-07417-0
Machine learning in cardiovascular radiology: ESCR position statement on design requirements, quality assessment, current applications, opportunities, and challengesCited by: 13
Author(s): Thomas Weikert, Marco Francone, Suhny Abbara, Bettina Baeßler, Byoung Wook Choi, Matthias Gutberlet, Elizabeth M. Hecht, Christian Loewe, Élie Mousseaux, Luigi Natale, Konstantin Nikolaou, Karen Ordovás, Charles Peebles, Claudia Prieto, Rodrigo Salgado, Birgitta K. Velthuis, Rozemarijn Vliegenthart, Jens Bremerich, Tim Leiner
Software Mentions: 1
Published: almost 6 years ago
10.1155/2019/3515080
Prediction of Chemotherapy Response of Osteosarcoma Using Baseline <sup>18</sup>F-FDG Textural Features Machine Learning Approaches with PCACited by: 25
Author(s): Su Young Jeong, Wook Kim, Byung Hyun Byun, Chang-Bae Kong, Won Seok Song, Ilhan Lim, Sang Moo Lim, Sang-Keun Woo
Software Mentions: 1
Published: about 7 years ago
10.1016/j.csbj.2020.10.032
Accurate prediction of RNA 5-hydroxymethylcytosine modification by utilizing novel position-specific gapped k-mer descriptorsCited by: 8
Author(s): Sajid Ahmed, Hossain Md. Zahid, Mahtab Uddin, Ghazaleh Taherzadeh, Alok Sharma, Swakkhar Shatabda, Abdollah Dehzangi
Software Mentions: 1
Published: over 6 years ago
10.1007/s00330-020-07531-z
Systematic volumetric analysis predicts response to CSF drainage and outcome to shunt surgery in idiopathic normal pressure hydrocephalusCited by: 9
Author(s): Dan Wu, Abhay Moghekar, Wen Shi, Ari M. Blitz, Susumu Mori
Software Mentions: 1
Published: over 5 years ago
10.1080/20013078.2020.1792683
<i>In vivo</i> identification of apoptotic and extracellular vesicle‐bound live cells using image‐based deep learningCited by: 14
Author(s): Jan Kranich, Nikolaos-Kosmas Chlis, Lisa Rausch, Ashretha Latha, Martina Schifferer, Tilman Kurz, Agnieszka Foltyn-Arfa Kia, Mikael Simons, Fabian J. Theis, Thomas Brocker
Software Mentions: 1
Published: about 6 years ago
10.1186/s12915-020-00807-2
New targeted approaches for epigenetic age predictionsCited by: 46
Author(s): Yang Han, Julia Franzen, Thomas Stiehl, Michael Gobs, Chao-Chung Kuo, Miloš Nikolić, Jan Hapala, Barbara Koop, Klaus Strathmann, Stefanie Ritz‐Timme, Wolfgang Wagner
Software Mentions: 1
Published: about 6 years ago
10.1038/s12276-020-00501-x
Brain tumor diagnostic model and dietary effect based on extracellular vesicle microbiome data in serumCited by: 11
Author(s): Jinho Yang, Hyo Eun Moon, Hyoung Woo Park, Andrea McDowell, Tae-Seop Shin, Young Koo Jee, Sungmin Kym, Sun Ha Paek, Eui Chong Kim
Software Mentions: 1
Published: about 6 years ago
10.1007/s11548-016-1376-5
Robust near real-time estimation of physiological parameters from megapixel multispectral images with inverse Monte Carlo and random forest regressionCited by: 36
Author(s): Sebastian J. Wirkert, Hannes Kenngott, Benjamin F. B. Mayer, Patrick Mietkowski, Martin Wagner, Peter Sauer, Neil T. Clancy, Daniel S. Elson, Lena Maier-Hein
Software Mentions: 1
Published: over 10 years ago
10.1016/j.csbj.2017.07.001
A random forest classifier for detecting rare variants in NGS data from viral populationsCited by: 5
Author(s): Raunaq Malhotra, Manjari Jha, Mary Poss, Raj Acharya
Software Mentions: 1
Published: over 9 years ago
10.1186/s12911-020-01380-y
Isotypes of autoantibodies against novel differential 4-hydroxy-2-nonenal-modified peptide adducts in serum is associated with rheumatoid arthritis in Taiwanese womenCited by: 7
Author(s): Kai-Leun Tsai, Che-Chang Chang, Yu‐Sheng Chang, Yiying Lu, I-Jung Tsai, Jinhua Chen, Sheng-Hong Lin, Chih-Chun Tai, Yi-Fang Lin, Hui‐Wen Chang, Chun–Ming Lin, Emily Chia-Yu Su
Software Mentions: 1
Published: over 5 years ago
10.1155/2018/6565241
Prediction of GPCR-Ligand Binding Using Machine Learning AlgorithmsCited by: 12
Author(s): Sangmin Seo, Jonghwan Choi, Soon Kil Ahn, Kil Won Kim, Jae Kwang Kim, Jeong-Hwa Choi, Jin-Ho Kim, Jaegyoon Ahn
Software Mentions: 1
Published: over 8 years ago
10.1155/2019/6915850
Using Machine Learning Algorithms to Predict Hepatitis B Surface Antigen SeroclearanceCited by: 33
Author(s): Xiaolu Tian, Yutian Chong, Yutao Huang, Pi Guo, Mengjie Li, Wangjian Zhang, Zhicheng Du, Xiangyong Li, Yuantao Hao
Software Mentions: 1
Published: about 7 years ago
10.12688/f1000research.14050.1
Gene Unprediction with Spurio: A tool to identify spurious protein sequencesCited by: 10
Author(s): Wolfram Höps, Matt Jeffryes, Alex Bateman
Software Mentions: 1
Published: over 8 years ago
10.1155/2021/6663977
Pixel-Wise Classification in Hippocampus Histological ImagesCited by: 2
Author(s): Alfonso Vizcaíno, Hermilo Sánchez-Cruz, Humberto Sossa, J. Luis Quintanar
Software Mentions: 1
Published: over 5 years ago
10.3390/foods10051111
Advances in Atypical FT-IR Milk Screening: Combining Untargeted Spectra Screening and Cluster AlgorithmsCited by: 1
Author(s): Lukas Spieß, Peter de Peinder, H. van den Bijgaart
Software Mentions: 1
Published: over 5 years ago
10.1155/2020/5714714
Modeling the Spread of COVID-19 Infection Using a Multilayer PerceptronCited by: 137
Author(s): Zlatan Car, Sandi Baressi Šegota, Nikola Anđelić, Ivan Lorencin, Vedran Mrzljak
Software Mentions: 1
Published: over 6 years ago
10.3390/foods10040809
A Comparative Analysis of Novel Deep Learning and Ensemble Learning Models to Predict the Allergenicity of Food ProteinsCited by: 11
Author(s): Liyang Wang, Dantong Niu, Xinjie Zhao, Xiaoya Wang, Mengzhen Hao, Huilian Che
Software Mentions: 1
Published: over 5 years ago
10.1515/cmb-2020-0001
Atom-specific persistent homology and its application to protein flexibility analysisCited by: 7
Author(s): David Bramer, Guo-Wei Wei
Software Mentions: 1
Published: over 6 years ago
10.3390/foods10040785
Detection of Adulteration in Infant Formula Based on Ensemble Convolutional Neural Network and Near-Infrared SpectroscopyCited by: 9
Author(s): Yisen Liu, Songbin Zhou, Wei Han, Chang Li, Weixin Liu, Zefan Qiu, Hong Chen
Software Mentions: 1
Published: over 5 years ago
10.3390/foods10051010
Exploration of Spanish Olive Oil Quality with a Miniaturized Low-Cost Fluorescence Sensor and Machine Learning TechniquesCited by: 11
Author(s): Francesca Venturini, Michela Sperti, Umberto Michelucci, Ivo Herzig, Michael Baumgärtner, Josep Palau Caballero, Arturo Jiménez, Marco Agostino Deriu
Software Mentions: 1
Published: over 5 years ago
10.3389/fnagi.2020.574401
Applying the Inverse Efficiency Score to Visual–Motor Task for Studying Speed-Accuracy Performance While AgingCited by: 16
Author(s): Yauhen Statsenko, Tetiana Habuza, Klaus Neidl-Van Gorkom, Nazar Zaki, Taleb M. Almansoori
Software Mentions: 1
Published: almost 6 years ago
10.3389/fnagi.2021.661514
Predicting Age From Behavioral Test Performance for Screening Early Onset of Cognitive DeclineCited by: 7
Author(s): Yauhen Statsenko, Tetiana Habuza, Inna Charykova, Klaus Neidl-Van Gorkom, Nazar Zaki, Taleb M. Almansoori, Gordon C. Baylis, Miloš Ljubisavljević, Maroua Belghali
Software Mentions: 1
Published: about 5 years ago
10.1093/gerona/glaa090
Probiotic Supplementation Improves Cognitive Function and Mood with Changes in Gut Microbiota in Community-Dwelling Older Adults: A Randomized, Double-Blind, Placebo-Controlled, Multicenter TrialCited by: 172
Author(s): Chong-Su Kim, Lina Cha, Min Sub Sim, Sungwoong Jung, Woo Young Chun, Hyun Wook Baik, Dong Mi Shin
Software Mentions: 1
Published: over 6 years ago
10.3389/fnagi.2020.592979
Regional Gray Matter Volume Identifies High Risk of Unsafe Driving in Healthy Older PeopleCited by: 7
Author(s): Yasuharu Yamamoto, Bun Yamagata, Jinichi Hirano, Ryo Ueda, Hiroshi Yoshitake, Kazuno Negishi, Mika Yamagishi, M. Kimura, Kei Kamiya, Motoki Shino, Masaru Mimura
Software Mentions: 1
Published: almost 6 years ago
10.3389/fnagi.2019.00205
Predicting MCI Status From Multimodal Language Data Using Cascaded ClassifiersCited by: 54
Author(s): Kathleen Fraser, Kristina Lundholm Fors, Marie Eckerström, Fredrik Öhman, Dimitrios Kokkinakis
Software Mentions: 1
Published: about 7 years ago
10.3389/fnagi.2021.642033
Language Impairment in Alzheimer’s Disease—Robust and Explainable Evidence for AD-Related Deterioration of Spontaneous Speech Through Multilingual Machine LearningCited by: 15
Author(s): Hali Lindsay, J. Tröger, Alexandra König
Software Mentions: 1
Published: over 5 years ago
10.3389/fnagi.2020.00266
Predictive Value of Odor Identification for Incident Dementia: The Shanghai Aging StudyCited by: 4
Author(s): Ding Ding, Zhenxu Xiao, Xiaoniu Liang, Wanqing Wu, Qianhua Zhao, Yang Cao
Software Mentions: 1
Published: about 6 years ago
10.3389/fnagi.2015.00231
Discrimination between Alzheimer’s Disease and Late Onset Bipolar Disorder Using Multivariate AnalysisCited by: 23
Author(s): Ariadna Besga, I Gonzalez, Enrique Echeburúa, Alexandre Savio, Borja Ayerdi, Darya Chyzhyk, José L. M. Madrigal, Juan C. Leza, Manuel Graña, Ana González‐Pinto
Software Mentions: 1
Published: over 10 years ago
10.3389/fnagi.2021.727654
Using Machine Learning for Predicting the Best Outcomes With Electrical Muscle Stimulation for Tremors in Parkinson’s DiseaseCited by: 4
Author(s): Onanong Phokaewvarangkul, Peerapon Vateekul, Itsara Wichakam, Chanawat Anan, Roongroj Bhidayasiri
Software Mentions: 1
Published: almost 5 years ago
10.1155/2021/8813806
Cost-Sensitive Classification for Evolving Data Streams with Concept Drift and Class ImbalanceCited by: 4
Author(s): Yuan Sun, Meng Li, Lei Li, Han Shao, Yi Sun
Software Mentions: 1
Published: about 5 years ago
10.1155/2020/7307252
Using Deep Convolutional Neural Networks for Image-Based Diagnosis of Nutrient Deficiencies in RiceCited by: 21
Author(s): Zhe Xu, Xiaomin Guo, Anfan Zhu, Xiaolin He, Zhao Xiao-min, Yi Han, Roshan Subedi
Software Mentions: 1
Published: about 6 years ago
10.1155/2016/6425257
Mitigation of Effects of Occlusion on Object Recognition with Deep Neural Networks through Low-Level Image CompletionCited by: 10
Author(s): Benjamin Chandler, Ennio Mingolla
Software Mentions: 1
Published: over 10 years ago
10.1186/s12942-018-0132-1
Residential scene classification for gridded population sampling in developing countries using deep convolutional neural networks on satellite imageryCited by: 21
Author(s): Robert Chew, Safaa Amer, Kasey Jones, Jennifer Unangst, James Cajka, Justine Allpress, Mark Bruhn
Software Mentions: 1
Published: over 8 years ago
10.1155/2021/8840156
An Efficient Automatic Gait Anomaly Detection Method Based on Semisupervised ClusteringCited by: 6
Author(s): Zhenlun Yang
Software Mentions: 1
Published: over 5 years ago
10.1155/2016/7420984
Active Player Modeling in the Iterated Prisoner’s DilemmaCited by: 1
Author(s): Hyunsoo Park, Kyung Joong Kim
Software Mentions: 1
Published: over 10 years ago
10.3389/frai.2020.00003
Interpretability With Accurate Small ModelsCited by: 3
Author(s): Abhishek Ghose, Balaraman Ravindran
Software Mentions: 1
Published: over 6 years ago
10.7150/ijms.47193
Risk factors related to the severity of COVID-19 in WuhanCited by: 25
Author(s): Zhao Chen, Yan Bai, Cencen Wang, Yanyan Zhong, Na Lü, Li Tian, Fucheng Cai, Runming Jin
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 7 years ago
10.1155/2016/1638936
Improving Feature Representation Based on a Neural Network for Author Profiling in Social Media TextsCited by: 24
Author(s): Helena Gómez-Adorno, Ilia Markov, Grigori Sidorov, Juan-Pablo Posadas-Durán, Miguel A. Sánchez-Pérez, Liliana Chanona-Hernández
Software Mentions: 1
Published: over 10 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 5 years ago
10.1155/2018/6401645
A Reweighted Scheme to Improve the Representation of the Neural Autoregressive Distribution EstimatorCited by: 0
Author(s): Zheng Wang, Qingbiao Wu
Software Mentions: 1
Published: over 7 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 6 years ago
10.1155/2021/8387680
Prediction of Heart Disease Using a Combination of Machine Learning and Deep LearningCited by: 175
Author(s): Rohit Bharti, Aditya Khamparia, Mohammad Shabaz, Gaurav Dhiman, Sagar Pande, Parneet Singh
Software Mentions: 1
Published: about 5 years ago
10.1155/2021/6911192
A Multiattention-Based Supervised Feature Selection Method for Multivariate Time SeriesCited by: 0
Author(s): Li Cao, Yanting Chen, Zhiyang Zhang, Ning Gui
Software Mentions: 1
Published: about 5 years ago
10.1155/2019/3076324
Fusion of Motif- and Spectrum-Related Features for Improved EEG-Based Emotion RecognitionCited by: 16
Author(s): Abhishek Tiwari, Tiago H. Falk
Software Mentions: 1
Published: over 7 years ago
10.1186/s12915-020-00938-6
Prokaryotic virus host predictor: a Gaussian model for host prediction of prokaryotic viruses in metagenomicsCited by: 40
Author(s): Congyu Lu, Zheng Zhang, Zena Cai, Zhaozhong Zhu, Ye Qiu, Aiping Wu, Taijiao Jiang, Heping Zheng, Yousong Peng
Software Mentions: 1
Published: over 5 years ago
10.1016/j.compbiomed.2020.103895
A computational investigation into rate-dependant vectorcardiogram changes due to specific fibrosis patterns in non-ischæmic dilated cardiomyopathyCited by: 7
Author(s): Philip Gemmell, Karli Gillette, Gabriel Balaban, Ronak Rajani, Edward J. Vigmond, Martin J. Bishop
Software Mentions: 1
Published: about 6 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 5 years ago
10.1007/s40747-021-00371-4
O-WCNN: an optimized integration of spatial and spectral feature map for arrhythmia classificationCited by: 7
Author(s): Manisha Jangra, Sanjeev Kumar Dhull, Krishna Kant Singh, Akansha Singh, Xiaochun Cheng
Software Mentions: 1
Published: over 5 years ago
10.1038/s42003-021-01709-x
HDXmodeller: an online webserver for high-resolution HDX-MS with auto-validationCited by: 8
Author(s): Ramin Ekhteiari Salmas, Antoni J. Borysik
Software Mentions: 1
Published: over 5 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: over 7 years ago
10.1038/s42003-019-0456-9
GECKO is a genetic algorithm to classify and explore high throughput sequencing dataCited by: 16
Author(s): Aubin Thomas, Sylvain Barriere, Lucile Broseus, Julie Brooke, Claudio Lorenzi, Jean-Philippe Villemin, Grégory Beurier, Robert Sabatier, Christelle Reynès, Alban Mancheron, William Ritchie
Software Mentions: 1
Published: about 7 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: almost 8 years ago
10.1038/s42003-021-02393-7
Systems biology informed neural networks (SBINN) predict response and novel combinations for PD-1 checkpoint blockadeCited by: 6
Author(s): Michelle Przedborski, Munisha Smalley, Saravanan Thiyagarajan, Aaron Goldman, Mohammad Kohandel
Software Mentions: 1
Published: about 5 years ago
10.1155/2020/3743171
Classification of Alzheimer’s Disease and Mild Cognitive Impairment Based on Cortical and Subcortical Features from MRI T1 Brain Images Utilizing Four Different Types of DatasetsCited by: 20
Author(s): Saidjalol Toshkhujaev, Kun Ho Lee, Kyu Yeong Choi, Jang Jae Lee, Goo‐Rak Kwon, Yubraj Gupta, Ramesh Kumar Lama
Software Mentions: 1
Published: about 6 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
10.1371/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
10.1371/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.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.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.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
10.1371/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
10.1371/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
10.3389/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 5 years ago
10.1155/2020/8829451
Toward Measuring Target Perception: First-Order and Second-Order Deep Network Pipeline for Classification of Fixation-Related PotentialsCited by: 0
Author(s): Hong Zeng, Junjie Shen, Wenming Zheng, Aiguo Song, Jia Liu
Software Mentions: 1
Published: almost 6 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 6 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 5 years ago
10.1155/2021/6695108
A Systematic Approach for MRI Brain Tumor Localization and Segmentation Using Deep Learning and Active ContouringCited by: 36
Author(s): Shanaka Ramesh Gunasekara, H. N. T. K. Kaldera, Maheshi B. Dissanayake
Software Mentions: 1
Published: over 5 years ago
10.3389/fneur.2020.538052
Prediction of Clinical Outcome at Discharge After Rupture of Anterior Communicating Artery Aneurysm Using the Random Forest TechniqueCited by: 8
Author(s): Nengzhi Xia, Jie Chen, Chenyi Zhan, Xiaoyang Jia, Yingying Xiang, Yongchun Chen, Yuxia Duan, Lan Li, Boli Lin, Chao Chen, Bing Zhao, Xiaoyu Chen, Yunjun Yang, Jinjin Liu
Software Mentions: 1
Published: almost 6 years ago
10.1155/2021/9917919
A Comparative Analysis of Machine Learning Algorithms to Predict Alzheimer’s DiseaseCited by: 33
Author(s): Morshedul Bari Antor, Ashfaq Jamil, Maliha Mamtaz, Mohammad Monirujjaman Khan, Sultan Aljahdali, Manjit Kaur, Parminder Singh, Mehedi Masud
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 8 years ago
10.3389/fneur.2019.01173
Quantifying the Metabolic Signature of Multiple Sclerosis by in vivo Proton Magnetic Resonance Spectroscopy: Current Challenges and Future Outlook in the Translation From Proton Signal to Diagnostic BiomarkerCited by: 35
Author(s): Kelley M. Swanberg, Karl Landheer, David Pitt, Christoph Juchem
Software Mentions: 1
Published: almost 7 years ago
10.1371/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
10.1186/s12911-020-01131-z
AutoDiscern: rating the quality of online health information with hierarchical encoder attention-based neural networksCited by: 17
Author(s): Laura Kinkead, Ahmed Allam, Michael Krauthammer
Software Mentions: 1
Published: over 6 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: about 5 years ago
10.3390/jimaging5030036
Identification of the Interface in a Binary Complex Plasma Using Machine LearningCited by: 7
Author(s): Hung-Lung Huang, Mierk Schwabe, C.-R. Du
Software Mentions: 1
Published: over 7 years ago
10.3389/fnbot.2021.704226
A Novel sEMG-Based Gait Phase-Kinematics-Coupled Predictor and Its Interaction With ExoskeletonsCited by: 3
Author(s): Baichun Wei, Zhen Ding, Chunzhi Yi, Hao Guo, Zhipeng Wang, Jianfei Zhu, Feng Jiang
Software Mentions: 1
Published: about 5 years ago
10.3389/fnbot.2021.659311
Toward More Robust Hand Gesture Recognition on EIT DataCited by: 5
Author(s): David P. Leins, Christian Gibas, Rainer Brück, Robert Haschke
Software Mentions: 1
Published: about 5 years ago
10.1371/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.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
10.1186/s12911-021-01562-2
On the predictability of postoperative complications for cancer patients: a Portuguese cohort studyCited by: 3
Author(s): Daniel Gonçalves, Rui Henriques, Lúcio Lara Santos, Rafael S. Costa
Software Mentions: 1
Published: about 5 years ago
10.3389/fnins.2021.697870
Autism Spectrum Disorder Studies Using fMRI Data and Machine Learning: A ReviewCited by: 19
Author(s): Meijie Liu, Baojuan Li, Dewen Hu
Software Mentions: 1
Published: almost 5 years ago
10.3389/fnins.2021.611962
Adaptive Filtering for Improved EEG-Based Mental Workload Assessment of Ambulant UsersCited by: 19
Author(s): Olivier Rosanne, Isabela Albuquerque, Raymundo Cassani, Jean‐François Gagnon, Sébastien Tremblay, Tiago H. Falk
Software Mentions: 1
Published: over 5 years ago
10.3389/fnins.2021.669595
Predicting Brain Amyloid Using Multivariate Morphometry Statistics, Sparse Coding, and Correntropy: Validation in 1,101 Individuals From the ADNI and OASIS DatabasesCited by: 13
Author(s): Jianfeng Wu, Qunxi Dong, Jie Gui, Jie Zhang, Yi Su, Kewei Chen, Paul M. Thompson, Richard J. Caselli, Eric M. Reiman, Jieping Ye, Yalin Wang
Software Mentions: 1
Published: about 5 years ago
10.1371/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
10.3389/fnins.2019.01023
Investigating the Effects of Mechanical Stimulation on Retinal Ganglion Cell Spontaneous Spiking ActivityCited by: 10
Author(s): Marica Marrese, Davide Lonardoni, Fabio Boi, Hedde van Hoorn, Alessandro Maccione, Stefano Zordan, Davide Iannuzzi, Luca Berdondini
Software Mentions: 1
Published: almost 7 years ago
10.3389/fnins.2015.00328
Identification of resilient individuals and those at risk for performance deficits under stressCited by: 17
Author(s): Brent Winslow, Meredith Carroll, Jonathan W. Martin, Glenn Surpris, George L. Chadderdon
Software Mentions: 1
Published: almost 11 years ago
10.3389/fnins.2014.00167
Which fMRI clustering gives good brain parcellations?Cited by: 248
Author(s): Bertrand Thirion, Gaël Varoquaux, Elvis Dohmatob, Jean‐Baptiste Poline
Software Mentions: 1
Published: about 12 years ago
10.3389/fnins.2020.00593
EEG Channel-Selection Method for Epileptic-Seizure Classification Based on Multi-Objective OptimizationCited by: 45
Author(s): Luis Alfredo Moctezuma, Marta Molinas
Software Mentions: 1
Published: about 6 years ago
10.7554/eLife.63035
Canonical goal-selective representations are absent from prefrontal cortex in a spatial working memory task requiring behavioral flexibilityCited by: 13
Author(s): Claudia Böhm, Albert K. Lee
Software Mentions: 1
Published: over 5 years ago
10.3389/fnins.2021.661504
Multiparametric MRI for Characterization of the Basal Ganglia and the MidbrainCited by: 4
Author(s): Till Schneider, Jackie Ma, Patrick Wagner, Nicolas G.R. Behl, Armin M. Nagel, Mark E. Ladd, Sabine Heiland, Martin Bendszus
Software Mentions: 1
Published: about 5 years ago
10.3389/fnins.2021.664490
Imaging Time Series of Eye Tracking Data to Classify Attentional StatesCited by: 7
Author(s): Lisa-Marie Vortmann, Jannes Knychalla, Sonja Annerer‐Walcher, Mathias Benedek, Felix Putze
Software Mentions: 1
Published: over 5 years ago
10.1371/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
10.3389/fnins.2018.00038
Multivariate Classification of Major Depressive Disorder Using the Effective Connectivity and Functional ConnectivityCited by: 45
Author(s): Xiang-Fei Geng, Junhai Xu, Baolin Liu, Yonggang Shi
Software Mentions: 1
Published: over 8 years ago
10.1371/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.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