Projects: pypi: scikit-learn
https://packages.ecosyste.ms/registries/pypi.org/packages/scikit-learn
A set of python modules for machine learning and data mining
72 versions
Latest release: almost 3 years ago
5,918 dependent packages
43,777,417 downloads last month
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a.joly@ulg.ac.be
vanderplas@astro.washington.edu
bh00038@cvplws63.eps.surrey.ac.uk
ha258@cornell.edu
satra@mit.edu
zl2480@columbia.edu
pinto@alum.mit.edu
jz4721@nyu.edu
matteo.visconti.gr@dartmouth.edu
vighneshbirodkar@nyu.edu
robert.l.marchman@dartmouth.edu
rs2715@stern.nyu.edu
claire.savard@colorado.edu
aaaagrawal@iitb.ac.in
ihaque@cs.stanford.edu
rspeer@mit.edu
mluessi@nmr.mgh.harvard.edu
amitibo@tx.technion.ac.il
ericchang2017@u.northwestern.edu
jkarno@seas.upenn.edu
minghui.liu@trincoll.edu
m.lyra@sussex.ac.uk
andrew.knyazev@ucdenver.edu
lamb@cs.stanford.edu
camilo@neurostat.mit.edu
martino.sorbaro@ed.ac.uk
t.sheerman-chase@surrey.ac.uk
cgohlke@uci.edu
batulaa@drexel.edu
kcarnold@alum.mit.edu
apw@seas.harvard.edu
abie@alum.mit.edu
rossbar@berkeley.edu
alceballosa@unal.edu.co
fhoang7@berkeley.edu
hechen@seas.upenn.edu
stefan@sun.ac.za
deepyaman.datta@utexas.edu
rebekah.kim@columbia.edu
shubham.bhardwaj2015@vit.ac.in
slama@berkeley.edu
nisingh@wharton.upenn.edu
kanikas3@vt.edu
jdlabal@stanford.edu
kjells@uw.edu
markus.loning.17@ucl.ac.uk
k_nzw@klis.tsukuba.ac.jp
dkirkby@uci.edu
balawson@bu.edu
c.brummitt@columbia.edu
choo8@illinois.edu
giorgio.patrini@anu.edu.au
shangwuy@andrew.cmu.edu
rafael.possas@sydney.edu.au
olsonran@msu.edu
brian.mcfee@nyu.edu
naj273@nyu.edu
dgrusak@trinity.edu
emd222@cornell.edu
voth0@sewanee.edu
trishnendu.dd2014@cs.iiests.ac.in
apeng@berkeley.edu
boucher@cs.umass.edu
lunt@ctbp.ucsd.edu
bakhbari@mgh.harvard.edu
piraka@brandeis.edu
neal.lathia@cl.cam.ac.uk
razhoshia@post.bgu.ac.il
michal.romaniuk06@ic.ac.uk
m.batchkarov@sussex.ac.uk
lemin@cs.colostate.edu
rudvlf0413@korea.ac.kr
vredev16@msu.edu
raschkas@msu.edu
ali.baharev@univie.ac.at
a.krasoulis@sms.ed.ac.uk
arokem@berkeley.edu
gabrielvr@al.insper.edu.br
eric.sanchez1234@email.bakersfieldcollege.edu
fcchou@stanford.edu
rofuyu@cs.utexas.edu
glemaitre@visor.udg.edu
naoyaiijima@hiroshima-u.ac.jp
ayushgup@iitk.ac.in
joel@vlan-2666-10-17-16-173.staff.wireless.sydney.edu.au
jam7w2@mail.missouri.edu
j.hale09@imperial.ac.uk
tw991@nyu.edu
patel_zeel@iitgn.ac.in
vincent.lostanlen@nyu.edu
stvjc@channing.harvard.edu
ritchieng@u.nus.edu
bansalsi@usc.edu
rbarnes@umn.edu
rrohan@cs.cmu.edu
liutong.zhou@columbia.edu
mdh386@nyu.edu
mlf419@nyu.edu
shreyave@usc.edu
jin.siy@northeastern.edu
samuel_ainsworth@brown.edu
cwijes1@lsu.edu
wadawson@ucdavis.edu
xinyuliu@umich.edu
rz258@cornell.edu
daniel.mallia21@myhunter.cuny.edu
argriffi@ncsu.edu
filipj@umich.edu
kms15@case.edu
sam.dixon@berkeley.edu
khong008@e.ntu.edu.sg
jnelso11@gmu.edu
jclawton@umich.edu
jaehyunahn@sogang.ac.kr
ijpulidos@unal.edu.co
gstupp@scripps.edu
justhube@umich.edu
noamkeidar@campus.technion.ac.il
nityamd@nyu.edu
css459@nyu.edu
alyee@ucsd.edu
andersk@mit.edu
dhanus@mit.edu
coreylevinson@uchicago.edu
cailean.carter@quadram.ac.uk
bral4884@colorado.edu
dschult@colgate.edu
dpwe@ee.columbia.edu
dylan.cashman@tufts.edu
pawelsendyk@berkeley.edu
qzhang90@gatech.edu
mhaberla@calpoly.edu
saketk@student.unimelb.edu.au
eunjikim@dm.snu.ac.kr
erinrhof@uw.edu
ksivaman@purdue.edu
garmstrong@ucsd.edu
konstantin.shmelkov@polytechnique.edu
e175774@ie.u-ryukyu.ac.jp
hermidal@cs.umd.edu
jbearer@hmc.edu
jmarin@csail.mit.edu
Repository Activity:
Repository Owner:
scikit-learn (organization)
Repositories related to the scikit-learn Python machine learning library. Academic
Repositories related to the scikit-learn Python machine learning library. Academic
README Analysis:
Science Score: 100/100
Starting Score: 100 points
Bonuses:
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+2840
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142 contributors with educational email addresses -
+20
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Repository owned by academic institution -
+15
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Repository owned by research institution -
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Science terms in README
3 scientific terms found in README
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PyPI ecosystem
General-purpose ecosystem
Very Likely Science (100)
Papers Mentioning scikit-learn 2,431
10.1155/2019/6915850
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
10.1155/2018/6565241
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
10.1016/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
10.3390/medicina57020099
A Machine Learning-Based Investigation of Gender-Specific Prognosis of Lung CancersCited by: 9
Author(s): Yueying Wang, Shuai Liu, Zhao Wang, Yongchang Fan, Jingxuan Huang, Lan Huang, Zhijun Li, Xinwei Li, Mengdi Jin, Qiong Yu, Fengfeng Zhou
Software Mentions: 1
Published: over 5 years ago
10.3390/ma14081822
A Strategy for Dimensionality Reduction and Data Analysis Applied to Microstructure–Property Relationships of Nanoporous MetalsCited by: 9
Author(s): N. Huber
Software Mentions: 1
Published: over 5 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
10.1155/2019/3515080
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
10.1007/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
10.3390/ma13153266
Analysis of Environmental Factors Affecting the Atmospheric Corrosion Rate of Low-Alloy Steel Using Random Forest-Based ModelsCited by: 9
Author(s): Luchun Yan, Yupeng Diao, Kewei Gao
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
10.1016/j.dib.2021.107431
Dataset for modeling Beck’s cognitive triad to understand depressionCited by: 1
Author(s): Shreekant Jere, Annapurna P. Patil, Ganeshayya Shidaganti, Shweta S. Aladakatti, Laxmi Jayannavar
Software Mentions: 1
Published: almost 5 years ago
10.3390/ma14010228
Four-Fold Multi-Modal X-ray Microscopy Measurements of a Cu(In,Ga)Se2 Solar CellCited by: 11
Author(s): Christina Ossig, Christian Strelow, Jan Flügge, Andreas Kolditz, Jan Siebels, Jan Garrevoet, Kathryn Spiers, Martin Seyrich, Dennis Brückner, Niklas Pyrlik, J. Hagemann, Frank Seiboth, Andreas Schropp, Romain Carron, Gerald Falkenberg, Alf Mews, Christian G. Schroer, Tobias Kipp, Michael Stückelberger
Software Mentions: 1
Published: over 5 years ago
10.1093/database/baw133
ASAP: a machine learning framework for local protein propertiesCited by: 18
Author(s): Nadav Brandes, Dan Ofer, Michal Linial
Software Mentions: 1
Published: over 10 years ago
10.1093/database/bay122
BioCreative VI Precision Medicine Track system performance is constrained by entity recognition and variations in corpus characteristicsCited by: 4
Author(s): Qingyu Chen, Nagesh C. Panyam, Aparna Elangovan, Karin Verspoor
Software Mentions: 1
Published: over 8 years ago
10.1093/database/bax070
First steps in automatic summarization of transcription factor properties for RegulonDB: classification of sentences about structural domains and regulated processesCited by: 6
Author(s): Carlos-Francisco Méndez-Cruz, Socorro Gama-Castro, Citlalli Mejía-Almonte, Marco-Polo Castillo-Villalba, Luis-José Muñiz-Rascado, Julio Collado‐Vides
Software Mentions: 1
Published: over 9 years ago
10.3390/ma14195784
Exploring Dielectric Constant and Dissipation Factor of LTCC Using Machine LearningCited by: 5
Author(s): Yuchen Liu, Tzu-Yu Liu, Tien-Heng Huang, Kuo-Chuang Chiu, Shih‐kang Lin
Software Mentions: 1
Published: almost 5 years ago
10.7554/eLife.34700
Chronic 2P-STED imaging reveals high turnover of dendritic spines in the hippocampus in vivoCited by: 124
Author(s): Thomas Pfeiffer, Stefanie Poll, Stéphane Bancelin, Julie Angibaud, Vvg Krishna Inavalli, Kevin Keppler, Manuel Mittag, Martin Fuhrmann, U. Valentin Nägerl
Software Mentions: 1
Published: about 8 years ago
10.3390/diagnostics10040209
The Combination of Adaptive Convolutional Neural Network and Bag of Visual Words in Automatic Diagnosis of Third Molar Complications on Dental X-Ray ImagesCited by: 7
Author(s): Võ Trương Như Ngọc, Agwu Chinedu Agwu, Lê Hoàng Sơn, Trần Mạnh Tuấn, Cu Nguyen Giap, Mai Thi Giang Thanh, Hoang Bao Duy, Trần Thị Ngân
Software Mentions: 1
Published: over 6 years ago
10.3390/diagnostics11081429
Predicting Depression in Community Dwellers Using a Machine Learning AlgorithmCited by: 6
Author(s): Seo‐Eun Cho, Zong Woo Geem, Jin-Seong Lee
Software Mentions: 1
Published: about 5 years ago
10.3390/ma13214757
Predicting Ultra-High-Performance Concrete Compressive Strength Using Tabular Generative Adversarial NetworksCited by: 46
Author(s): Afshin Marani, Armin Jamali, Moncef L. Nehdi
Software Mentions: 1
Published: almost 6 years ago
10.3390/diagnostics11020347
Females and Males Show Differences in Early-Stage Transcriptomic Biomarkers of Lung Adenocarcinoma and Lung Squamous Cell CarcinomaCited by: 1
Author(s): Quewang Liu, Yueying Wang, Meiyu Duan, Yongchang Fan, Pan Xing-yuan, Shuai Liu, Yu Qian, Lan Huang, Fengfeng Zhou
Software Mentions: 1
Published: over 5 years ago
10.3390/diagnostics11071255
Prediction of In-Hospital Cardiac Arrest Using Shallow and Deep LearningCited by: 9
Author(s): Minsu Chae, Sang-Wook Han, Hyo‐Wook Gil, Namjun Cho, HwaMin Lee
Software Mentions: 1
Published: about 5 years ago
10.3390/diagnostics11061096
Forecasting the Walking Assistance Rehabilitation Level of Stroke Patients Using Artificial IntelligenceCited by: 7
Author(s): Kanghyeon Seo, Bokjin Chung, Hamsa Priya Panchaseelan, Taewoo Kim, Hye-Jung Park, Byung Mo Oh, Min-Ho Chun, Sunjae Won, Don-Kyu Kim, Jaewon Beom, Doyoung Jeon, Jihoon Yang
Software Mentions: 1
Published: about 5 years ago
10.3390/diagnostics11060943
Machine Learning-Based Cardiovascular Disease Prediction Model: A Cohort Study on the Korean National Health Insurance Service Health Screening DatabaseCited by: 22
Author(s): Joung Ouk Ryan Kim, Yong-Suk Jeong, Jin Ho Kim, Jong Weon Lee, Dougho Park, Hyoung Seop Kim
Software Mentions: 1
Published: over 5 years ago
10.3390/diagnostics11040612
Prediction Models for Obstructive Sleep Apnea in Korean Adults Using Machine Learning TechniquesCited by: 14
Author(s): Young Jae Kim, Ji Soo Jeon, Seo‐Eun Cho, Kwang Gi Kim, Kyoung-Sae Na
Software Mentions: 1
Published: over 5 years ago
10.3390/ma13143083
Surface-Related Features Responsible for Cytotoxic Behavior of MXenes Layered Materials Predicted with Machine Learning ApproachCited by: 21
Author(s): Maciej Marchwiany, Magdalena Birowska, Mariusz Popielski, J. A. Majewski, Agnieszka Jastrzębska
Software Mentions: 1
Published: about 6 years ago
10.3390/ma14030542
Predictive Models for the Binary Diffusion Coefficient at Infinite Dilution in Polar and Nonpolar FluidsCited by: 10
Author(s): José P.S. Aniceto, Bruno Zêzere, Carlos M. Silva
Software Mentions: 1
Published: over 5 years ago
10.3390/md16090332
Characterization of the Microbial Population Inhabiting a Solar Saltern Pond of the Odiel Marshlands (SW Spain)Cited by: 16
Author(s): Patricia Gómez‐Villegas, Javier Vigara, Rosa León
Software Mentions: 1
Published: almost 8 years ago
10.1186/s13634-021-00755-1
A comparative study of multiple neural network for detection of COVID-19 on chest X-rayCited by: 28
Author(s): Shazia Anis, Tan Zi Xuan, Joon Huang Chuah, Juliana Usman, Pengjiang Qian, Khin Wee Lai
Software Mentions: 1
Published: about 5 years ago
10.3390/e22020193
Deep Residual Learning for Nonlinear RegressionCited by: 37
Author(s): Dongwei Chen, Fei Hu, Guokui Nian, Tiantian Yang
Software Mentions: 1
Published: over 6 years ago
10.3390/e22111191
Analysis of Factors Contributing to the Severity of Large Truck CrashesCited by: 16
Author(s): Jinhong Li, Jinli Liu, Pengfei Liu, Yi Qi
Software Mentions: 1
Published: almost 6 years ago
10.1186/s12859-020-3512-z
Direct comparison shows that mRNA-based diagnostics incorporate information which cannot be learned directly from genomic mutationsCited by: 2
Author(s): Hersh D. Ravkin, Ofer Givton, David Geffen, Eitan Rubin
Software Mentions: 1
Published: over 6 years ago
10.3390/e23040407
Differential Replication for Credit Scoring in Regulated EnvironmentsCited by: 0
Author(s): Irene Unceta, Jordi Nin, Oriol Pujol
Software Mentions: 1
Published: over 5 years ago
10.3390/e23081047
Toward Learning Trustworthily from Data Combining Privacy, Fairness, and Explainability: An Application to Face RecognitionCited by: 5
Author(s): Danilo Franco, Luca Oneto, Nicolò Navarin, Davide Anguita
Software Mentions: 1
Published: about 5 years ago
10.3390/e23080964
Learning Ordinal Embedding from SetsCited by: 0
Author(s): Aïssatou Diallo, Johannes Fürnkranz
Software Mentions: 1
Published: about 5 years ago
10.3390/e23030286
Conditional Entropy: A Potential Digital Marker for StressCited by: 8
Author(s): Soheil Keshmiri
Software Mentions: 1
Published: over 5 years ago
10.3390/e23081009
A Hybrid Analysis-Based Approach to Android Malware Family ClassificationCited by: 16
Author(s): Chao Ding, Nurbol Luktarhan, Bei Lu, Wenhui Zhang
Software Mentions: 1
Published: about 5 years ago
10.3390/e22070797
Multi-Label Feature Selection Based on High-Order Label Correlation AssumptionCited by: 17
Author(s): Ping Zhang, Wanfu Gao, Juncheng Hu, Yonghao Li
Software Mentions: 1
Published: about 6 years ago
10.1186/s12936-019-2822-y
Using mid-infrared spectroscopy and supervised machine-learning to identify vertebrate blood meals in the malaria vector, Anopheles arabiensisCited by: 22
Author(s): Emmanuel P. Mwanga, Salum A. Mapua, Doreen J. Siria, Halfan S. Ngowo, Francis Nangacha, Joseph P. Mgando, Francesco Baldini, Mario González‐Jiménez, Heather M. Ferguson, Klaas Wynne, Prashanth Selvaraj, Simon A. Babayan, Fredros O. Okumu
Software Mentions: 1
Published: over 7 years ago
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
10.1186/s12936-019-2982-9
Detection of malaria parasites in dried human blood spots using mid-infrared spectroscopy and logistic regression analysisCited by: 28
Author(s): Emmanuel P. Mwanga, Elihaika G. Minja, Emmanuel C. Mrimi, Mario González‐Jiménez, Johnson Kyeba Swai, Said Abbasi, Halfan S. Ngowo, Doreen J. Siria, Salum A. Mapua, Caleb Stica, Marta Maia, Ally Olotu, Maggy T. Sikulu-Lord, Francesco Baldini, Heather M. Ferguson, Klaas Wynne, Prashanth Selvaraj, Simon A. Babayan, Fredros O. Okumu
Software Mentions: 1
Published: almost 7 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
10.26508/lsa.201800204
Intra-individual methylomics detects the impact of early-life adversityCited by: 7
Author(s): Shan Jiang, Noriko Kamei, Jessica L. Bolton, Xinyi Ma, Hal S. Stern, Tallie Z. Baram, A Mortazavi
Software Mentions: 1
Published: over 7 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
10.1038/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
10.3390/life10090196
Integrated RNA-seq Analysis Indicates Asynchrony in Clock Genes between Tissues under SpaceflightCited by: 12
Author(s): Shin‐ichiro Fujita, Lindsay Rutter, Quang Ong, Masafumi Muratani
Software Mentions: 1
Published: almost 6 years ago
10.1016/j.lanepe.2021.100151
Different spreading dynamics throughout Germany during the second wave of the COVID-19 pandemic: a time series study based on national surveillance dataCited by: 27
Author(s): Andreas Schuppert, Katja Polotzek, Jochen Schmitt, Reinhard Busse, Jens Karschau, Christian Karagiannidis
Software Mentions: 1
Published: about 5 years ago
10.1186/s12947-020-00219-w
A novel method of calculating stroke volume using point-of-care echocardiographyCited by: 4
Author(s): Ehson Aligholizadeh, William Teeter, Rajan Patel, Peter Hu, Syeda Fatima, Shiming Yang, Gautam Ramani, Sami Safadi, Peter Olivieri, Thomas M. Scalea, Sarah B. Murthi
Software Mentions: 1
Published: about 6 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
10.3390/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
10.1186/s12859-017-1843-1
Interpretation of microbiota-based diagnostics by explaining individual classifier decisionsCited by: 20
Author(s): Anat Eck, Luisa Zintgraf, E. F. J. de Groot, Tim G. J. de Meij, Taco Cohen, Paul H. M. Savelkoul, Max Welling, Andries E. Budding
Software Mentions: 1
Published: almost 9 years ago
10.3390/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
10.1021/acs.jpclett.1c00045
Machine Learning Prediction of Allosteric Drug Activity from Molecular DynamicsCited by: 25
Author(s): Filippo Marchetti, Elisabetta Moroni, Alessandro Pandini, Giorgio Colombo
Software Mentions: 1
Published: over 5 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: over 5 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
10.3389/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
10.1186/s40644-020-00374-3
Texture analysis of iodine maps and conventional images for k-nearest neighbor classification of benign and metastatic lung nodulesCited by: 6
Author(s): Simon Lennartz, A. O. Mager, Nils Große Hokamp, Sebastian Schäfer, David Zopfs, David Maintz, Hans Christian Reinhardt, Roman K. Thomas, Liliana Caldeira, Thorsten Persigehl
Software Mentions: 1
Published: over 5 years ago
10.1186/s40644-019-0254-0
CT radiomic features for predicting resectability of oesophageal squamous cell carcinoma as given by feature analysis: a case control studyCited by: 23
Author(s): Jing Ou, Rui Li, Rui Zeng, Changqiang Wu, Yong Chen, Tianwu Chen, Xiaoming Zhang, Lun Wu, Jiang Yu, Jiajun Yang, Jinming Cao, Shengjun Tang, Mengjie Tang, Jiani Hu
Software Mentions: 1
Published: almost 7 years ago
10.3390/brainsci11081086
Neuroplasticity within and between Functional Brain Networks in Mental Training Based on Long-Term MeditationCited by: 7
Author(s): Roberto Guidotti, Cosimo Del Gratta, Mauro Gianni Perrucci, Gian Luca Romani, Antonino Raffone
Software Mentions: 1
Published: about 5 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
10.3389/fdata.2021.640868
Public Perception of the Fifth Generation of Cellular Networks (5G) on Social MediaCited by: 3
Author(s): Kia Dashtipour, William Taylor, Shuja Ansari, Mandar Gogate, Adnan Zahid, Yusuf A. Sambo, Amir Hussain
Software Mentions: 1
Published: about 5 years ago
10.3389/fdata.2020.591315
CLUE: A Fast Parallel Clustering Algorithm for High Granularity Calorimeters in High-Energy PhysicsCited by: 15
Author(s): M. Rovere, Ziheng Chen, A. Di Pilato, F. Pantaleo, C. Seez
Software Mentions: 1
Published: almost 6 years ago
10.3390/brainsci10110784
Prediction of Suicide-Related Events by Analyzing Electronic Medical Records from PTSD Patients with Bipolar DisorderCited by: 4
Author(s): Peihao Fan, Xiaojiang Guo, Xiguang Qi, Mallika Matharu, Ravi Patel, Dara Sakolsky, Levent Kirisci, Jonathan C. Silverstein, Lirong Wang
Software Mentions: 1
Published: almost 6 years ago
10.3390/brainsci9090212
Classification of Alzheimer’s Disease with and without Imagery Using Gradient Boosted Machines and ResNet-50Cited by: 65
Author(s): Lawrence V. Fulton, Diane Dolezel, Jordan Harrop, Yan Yan, Christopher P. Fulton
Software Mentions: 1
Published: about 7 years ago
10.3390/brainsci10010008
Emergence of the Affect from the Variation in the Whole-Brain Flow of InformationCited by: 1
Author(s): Soheil Keshmiri, Masahiro Shiomi, Hiroshi Ishiguro
Software Mentions: 1
Published: over 6 years ago
10.3389/fbioe.2020.00814
Classifying Elite From Novice Athletes Using Simulated Wearable Sensor DataCited by: 6
Author(s): Gwyneth B. Ross, Brittany Dowling, Nikolaus F. Troje, Steven L. Fischer, Ryan B. Graham
Software Mentions: 1
Published: about 6 years ago
10.3389/fbioe.2019.00485
DeepSnap-Deep Learning Approach Predicts Progesterone Receptor Antagonist Activity With High PerformanceCited by: 18
Author(s): Yasunari Matsuzaka, Yoshihiro Uesawa
Software Mentions: 1
Published: over 6 years ago
10.3389/fbioe.2020.562677
Deep Learning on High-Throughput Transcriptomics to Predict Drug-Induced Liver InjuryCited by: 15
Author(s): Ting Li, Weida Tong, Ruth Roberts, Zhichao Liu, Shraddha Thakkar
Software Mentions: 1
Published: almost 6 years ago
10.3389/fbioe.2020.00897
A New Method for CTC Images Recognition Based on Machine LearningCited by: 15
Author(s): Binsheng He, Qingqing Lu, Jidong Lang, Hai Yu, Chao Peng, Pingping Bing, Shijun Li, Qichang Zhou, Yuebin Liang, Geng Tian
Software Mentions: 1
Published: about 6 years ago
10.3389/fbioe.2020.00080
AgeGuess, a Methylomic Prediction Model for Human AgesCited by: 7
Author(s): Xiaoqian Gao, Shuai Liu, Haoqiu Song, Xin Feng, Meiyu Duan, Lan Huang, Fengfeng Zhou
Software Mentions: 1
Published: over 6 years ago
10.3389/fbioe.2020.00134
RF-PseU: A Random Forest Predictor for RNA Pseudouridine SitesCited by: 64
Author(s): Zhibin Lv, Jun Zhang, Hui Ding, Quan Zou
Software Mentions: 1
Published: over 6 years ago
10.3389/fbioe.2020.00260
Systematic Comparison of the Influence of Different Data Preprocessing Methods on the Performance of Gait Classifications Using Machine LearningCited by: 26
Author(s): Johannes Burdack, Fabian Horst, Sven Giesselbach, Ibrahim Hassan, Sabrina Daffner, Wolfgang I. Schöllhorn
Software Mentions: 1
Published: over 6 years ago
10.3389/fcvm.2020.539788
Pathological Cluster Identification by Unsupervised Analysis in 3,822 UK Biobank Cardiac MRIsCited by: 9
Author(s): Zheng Qiao, Hervé Delingette, Kenneth Fung, Steffen E. Petersen, Nicholas Ayache
Software Mentions: 1
Published: almost 6 years ago
10.7554/eLife.61635
Kinetic sculpting of the seven stripes of the Drosophila even-skipped geneCited by: 27
Author(s): Augusto Berrocal, Nicholas C Lammers, Hernán G. García, Michael B. Eisen
Software Mentions: 1
Published: over 5 years ago
10.3389/fcell.2021.710461
Differentiation Between Glioblastoma Multiforme and Metastasis From the Lungs and Other Sites Using Combined Clinical/Routine MRI RadiomicsCited by: 6
Author(s): Yujia Han, Lingling Zhang, Shuzi Niu, Shuguang Chen, Bo Yang, Hongyan Chen, Fei Zheng, Yan-Nan Zang, Hongbo Zhang, Xin Yu, Xuzhu Chen
Software Mentions: 1
Published: about 5 years ago
10.3389/fcimb.2019.00161
Comparative Genome-Scale Metabolic Modeling of Metallo-Beta-Lactamase–Producing Multidrug-Resistant Klebsiella pneumoniae Clinical IsolatesCited by: 28
Author(s): Charles J. Norsigian, Heba Attia, Richard Szubin, Aymen S. Yassin, Bernhard Ø. Palsson, Ramy K. Aziz, Jonathan M. Monk
Software Mentions: 1
Published: over 7 years ago
10.3389/fcimb.2021.610348
Learning From Limited Data: Towards Best Practice Techniques for Antimicrobial Resistance Prediction From Whole Genome Sequencing DataCited by: 12
Author(s): Lukas Lüftinger, Peter Marynen, Stephan Beisken, Thomas Rattei, Andreas E. Posch
Software Mentions: 1
Published: over 5 years ago
10.1186/s40708-021-00129-1
A comparison of feature extraction methods for prediction of neuropsychological scores from functional connectivity data of stroke patientsCited by: 8
Author(s): Federico Calesella, Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi
Software Mentions: 1
Published: over 5 years ago
10.3389/fncel.2018.00409
Strategic Positioning of Connexin36 Gap Junctions Across Human Retinal Ganglion Cell Dendritic ArborsCited by: 7
Author(s): Orsolya Kántor, Gergely Szarka, Zsigmond Benkő, Zoltán Somogyvári, Emese Pálfi, Gábor Baksa, Gergely Rácz, Roland Nitschke, Gábor Debertin, Béla Völgyi
Software Mentions: 1
Published: almost 8 years ago
10.1186/s40708-021-00125-5
Detecting depression using an ensemble classifier based on Quality of Life scalesCited by: 25
Author(s): Xiaohui Tao, Oliver Chi, Patrick Delaney, Lin Li, Jiajin Huang
Software Mentions: 1
Published: over 5 years ago
10.3389/fchem.2019.00385
Prediction of the Antioxidant Response Elements' Response of Compound by Deep LearningCited by: 6
Author(s): Fang Bai, Hong Ding, Yingying Lü, Huanxiang Liu, Cunlu Xu, Xiaojun Yao
Software Mentions: 1
Published: over 7 years ago
10.3389/fchem.2018.00362
Prediction Is a Balancing Act: Importance of Sampling Methods to Balance Sensitivity and Specificity of Predictive Models Based on Imbalanced Chemical Data SetsCited by: 83
Author(s): Priyanka Banerjee, Frederic O. Dehnbostel, Robert Preißner
Software Mentions: 1
Published: about 8 years ago
10.3389/fchem.2019.00895
SPVec: A Word2vec-Inspired Feature Representation Method for Drug-Target Interaction PredictionCited by: 44
Author(s): Yufang Zhang, Xiangeng Wang, Aman Chandra Kaushik, Yanyi Chu, Xiaoqi Shan, Mingzhu Zhao, Qin Xu, Dong‐Qing Wei
Software Mentions: 1
Published: over 6 years ago
10.3389/fchem.2021.662688
Applications of Virtual Screening in Bioprospecting: Facts, Shifts, and Perspectives to Explore the Chemo-Structural Diversity of Natural ProductsCited by: 33
Author(s): Kauê Santana, Lidiane Diniz do Nascimento, Anderson Lima e Lima, Vinícius de Oliveira Damasceno, Claudio Nahum, Rodolpho C. Braga, Jerônimo Lameira
Software Mentions: 1
Published: over 5 years ago
10.3389/fchem.2020.00344
Hybrid Molecular Dynamics for Elucidating Cooperativity Between Halogen Bond and Water Molecules During the Interaction of p53-Y220C and the PhiKan5196 ComplexCited by: 4
Author(s): Tiange Dong, Hui Peng, Xiao‐Ting He, Xiaocong Wang, Jun Gao
Software Mentions: 1
Published: over 6 years ago
10.3389/fchem.2019.00929
Deep Learning Techniques to Improve the Performance of Olive Oil ClassificationCited by: 15
Author(s): Belén Vega-Márquez, Isabel A. Nepomuceno-Chamorro, Natividad Jurado-Campos, Cristina Rubio-Escudero
Software Mentions: 1
Published: over 6 years ago
10.3389/fncom.2018.00070
EEG Microstate Sequences From Different Clustering Algorithms Are Information-Theoretically InvariantCited by: 36
Author(s): Frederic von Wegner, Paul Knaut, Helmut Laufs
Software Mentions: 1
Published: about 8 years ago
10.3389/fncom.2021.739515
A Plane-Dependent Model of 3D Grid Cells for Representing Both 2D and 3D Spaces Under Various Navigation ModesCited by: 2
Author(s): Ziyi Gong, Yu Fukunishi
Software Mentions: 1
Published: almost 5 years ago
10.5194/acp-20-4637-2020
Stratocumulus cloud clearings: statistics from satellites, reanalysis models, and airborne measurementsCited by: 7
Author(s): Hossein Dadashazar, Ewan Crosbie, Mohammad S. Majdi, Milad Panahi, Mohammad A. Moghaddam, Ali Behrangi, Michael A. Brunke, Xubin Zeng, Haflidi H. Jonsson, Armin Sorooshian
Software Mentions: 1
Published: over 6 years ago
10.1007/s40708-017-0065-7
Machine learning–XGBoost analysis of language networks to classify patients with epilepsyCited by: 273
Author(s): Laurent Torlay, Marcela Perrone‐Bertolotti, Elizabeth Thomas, Monica Baciu
Software Mentions: 1
Published: over 9 years ago
10.3389/fncom.2021.594659
Visual Explanation for Identification of the Brain Bases for Developmental Dyslexia on fMRI DataCited by: 2
Author(s): Laura Tomaz da Silva, Nathália Bianchini Esper, Duncan D. Ruiz, Felipe Meneguzzi, Augusto Buchweitz
Software Mentions: 1
Published: almost 5 years ago
10.3389/fncom.2019.00073
Robustness of Radiomics for Survival Prediction of Brain Tumor Patients Depending on Resection StatusCited by: 17
Author(s): Leon Weninger, Christoph Haarburger, Dorit Merhof
Software Mentions: 1
Published: almost 7 years ago