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 -
+6
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
10.3390/s20174800
Unsupervised Monitoring Vegetation after the Closure of an Ore Processing Site with Multi-Temporal Optical Remote SensingCited by: 10
Author(s): Sophie Fabre, Rollin Gimenez, Arnaud Elger, Thomas Rivière
Software Mentions: 1
Published: about 6 years ago
10.3390/s20174915
Fast Detection of Olive Trees Affected by Xylella Fastidiosa from UAVs Using Multispectral ImagingCited by: 35
Author(s): Attilio Di Nisio, Francesco Adamo, G. Acciani, Filippo Attivissimo
Software Mentions: 1
Published: about 6 years ago
10.3390/s20174904
Facial Muscle Activity Recognition with Reconfigurable Differential Stethoscope-MicrophonesCited by: 4
Author(s): Hymalai Bello, Bo Zhou, Paul Lukowicz
Software Mentions: 1
Published: about 6 years ago
10.3390/s20174833
Using Machine Learning to Train a Wearable Device for Measuring Students’ Cognitive Load during Problem-Solving Activities Based on Electrodermal Activity, Body Temperature, and Heart Rate: Development of a Cognitive Load Tracker for Both Personal and Classroom UseCited by: 17
Author(s): William L. Romine, Noah L. Schroeder, Josephine Graft, Fan Yang, Reza Sadeghi, Mahdieh Zabihimayvan, Dipesh Kadariya, Tanvi Banerjee
Software Mentions: 1
Published: about 6 years ago
10.3390/s20185212
Deep-Net: A Lightweight CNN-Based Speech Emotion Recognition System Using Deep Frequency FeaturesCited by: 82
Author(s): Anvarjon Tursunov, Mustaqeem, Soonil Kwon
Software Mentions: 1
Published: about 6 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
10.1186/s12967-020-02542-2
The study of the association between immune monitoring and pneumonia in kidney transplant recipients through machine learning modelsCited by: 14
Author(s): Bo Peng, Hang Gong, Tian Han, Quan Zhuang, Junhui Li, Ke Cheng, Yingzi Ming
Software Mentions: 1
Published: almost 6 years ago
10.1371/journal.pone.0208422
A multifactorial model of T cell expansion and durable clinical benefit in response to a PD-L1 inhibitorCited by: 15
Author(s): Mark D.M. Leiserson, Vasilis Syrgkanis, Amy Gilson, Miroslav Dudík, Sharon Gillett, Jennifer Chayes, Christian Borgs, Dean F. Bajorin, Jonathan E. Rosenberg, Samuel A. Funt, Alexandra Snyder, Lester Mackey
Software Mentions: 1
Published: over 7 years ago
10.1371/journal.pone.0202167
Efficient feature selection and classification for microarray dataCited by: 62
Author(s): Zifa Li, Weibo Xie, Tao Liu
Software Mentions: 1
Published: about 8 years ago
10.7554/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: almost 6 years ago
10.7554/eLife.56491
Distinct neuronal populations contribute to trace conditioning and extinction learning in the hippocampal CA1Cited by: 12
Author(s): Rebecca A. Mount, Sudiksha Sridhar, Kyle Hansen, Ali Ibrahim Mohammed, Moona E Abdulkerim, Robb Kessel, Bobak Nazer, Howard J. Gritton, Xue Han
Software Mentions: 1
Published: over 5 years ago
10.7554/eLife.59697
A convolutional neural network for the prediction and forward design of ribozyme-based gene-control elementsCited by: 7
Author(s): Calvin M. Schmidt, Christina D. Smolke
Software Mentions: 1
Published: over 5 years ago
10.3390/ijms20081964
mACPpred: A Support Vector Machine-Based Meta-Predictor for Identification of Anticancer PeptidesCited by: 126
Author(s): Vinothini Boopathi, Sathiyamoorthy Subramaniyam, Adeel Malik, Gwang Lee, Balachandran Manavalan, Deok‐Chun Yang
Software Mentions: 1
Published: over 7 years ago
10.3390/ijms20194855
Prediction Model with High-Performance Constitutive Androstane Receptor (CAR) Using DeepSnap-Deep Learning Approach from the Tox21 10K Compound LibraryCited by: 21
Author(s): Yasunari Matsuzaka, Yoshihiro Uesawa
Software Mentions: 1
Published: almost 7 years ago
10.3390/ijms20246276
A Deep Learning Model for Cell Growth Inhibition IC50 Prediction and Its Application for Gastric Cancer PatientsCited by: 17
Author(s): Minjae Joo, Aron Park, Kyungdoc Kim, Won‐Joon Son, Hyo Sug Lee, Gyutae Lim, Jinhyuk Lee, Dong Hoon Lee, Jungseok An, Jung Ho Kim, Tae-Jin Ahn, Seungyoon Nam
Software Mentions: 1
Published: almost 7 years ago
10.3390/ijms21103455
Iroquois Homeobox Protein 2 Identified as a Potential Biomarker for Parkinson’s DiseaseCited by: 6
Author(s): Hyuna Sim, Jooeun Lee, Hee Min Yoo, Sunwha Cho, Hana Lee, Aruem Baek, Jisun Kim, Hyemyung Seo, Mi‐Na Kweon, Hyung Gun Kim, Young‐Joo Jeon, Mi‐Young Son, Jang Hwan Kim
Software Mentions: 1
Published: over 6 years ago
10.3390/ijms21103585
Similarity-Based Methods and Machine Learning Approaches for Target Prediction in Early Drug Discovery: Performance and ScopeCited by: 24
Author(s): Neann Mathai, Johannes Kirchmair
Software Mentions: 1
Published: over 6 years ago
10.3390/ijms21155542
Comprehensive Analysis of Applicability Domains of QSPR Models for Chemical ReactionsCited by: 23
Author(s): Assima Rakhimbekova, Timur Madzhidov, Ramil Nugmanov, Timur Gimadiev, Igor I. Baskin, Alexandre Varnek
Software Mentions: 1
Published: about 6 years ago
10.3390/ijms21155308
Virtual Screening of C. Sativa Constituents for the Identification of Selective Ligands for Cannabinoid Receptor 2Cited by: 7
Author(s): Mikołaj Mizera, Dorota Latek, Judyta Cielecka‐Piontek
Software Mentions: 1
Published: about 6 years ago
10.1371/journal.pone.0210575
Predicting inadequate postoperative pain management in depressed patients: A machine learning approachCited by: 39
Author(s): Arjun Parthipan, Imon Banerjee, Keith Humphreys, Steven M. Asch, Catherine Curtin, Ian Carroll, Tina Hernandez‐Boussard
Software Mentions: 1
Published: over 7 years ago
10.1371/journal.pone.0209960
Underwater hyperspectral classification of deep sea corals exposed to 2-methylnaphthaleneCited by: 13
Author(s): Paul Anton Letnes, Ingrid Myrnes Hansen, Lars Martin Sandvik, Ingvar Eide, Ragnhild Pettersen, Luca Tassara, Justine Receveur, Stéphane Le Floch, Julien Guyomarch, Lionel Camus, Jenny Bytingsvik
Software Mentions: 1
Published: over 7 years ago
10.3390/ijms21207501
How Machine Learning Methods Helped Find Putative Rye Wax Genes Among GBS DataCited by: 3
Author(s): Magdalena Góralska, Jan Bińkowski, Natalia Lenarczyk, Anna Bienias, Agnieszka Grądzielewska, Ilona Czyczyło-Mysza, Kamila Kapłoniak, Stefan Stojałowski, Beata Myśków
Software Mentions: 1
Published: almost 6 years ago
10.1007/s12650-017-0451-5
Visualization of JOV abstractsCited by: 2
Author(s): Koji Koyamada, Yosuke Onoue, Miki Kioka, Tomoya Uetsuji, Kazutaka Baba
Software Mentions: 1
Published: almost 9 years ago
10.1371/journal.pone.0233079
Deep learning assisted detection of glaucomatous optic neuropathy and potential designs for a generalizable modelCited by: 19
Author(s): Yu Chieh Ko, Shih Yu Wey, Wei Ta Chen, Yu Fan Chang, Mei Ju Chen, Shih Hwa Chiou, Catherine Jui Ling Liu, Chen‐Yi Lee
Software Mentions: 1
Published: over 6 years ago
10.3390/ani11010050
Determination of Body Parts in Holstein Friesian Cows Comparing Neural Networks and k Nearest Neighbour ClassificationCited by: 7
Author(s): Jennifer Salau, Jan Haas, Wolfgang Junge, Georg Thaller
Software Mentions: 1
Published: over 5 years ago
10.3389/fmed.2021.683431
Development and Validation of Predictors for the Survival of Patients With COVID-19 Based on Machine LearningCited by: 2
Author(s): Yongfeng Zhao, Qianjun Chen, Tao Liu, Ping Luo, Yi Zhou, Minghui Liu, Bei Xiong, Fuling Zhou
Software Mentions: 1
Published: almost 5 years ago
10.3389/fmicb.2020.623788
Rapid Microbial Quality Assessment of Chicken Liver Inoculated or Not With Salmonella Using FTIR Spectroscopy and Machine LearningCited by: 9
Author(s): Dimitra Dourou, Αθηνά Γρούντα, Anthoula A. Argyri, George Froutis, Panagiοtis Tsakanikas, Agapi I. Doulgeraki, Nikos Chorianopoulos, Chrysoula C. Tassou
Software Mentions: 1
Published: over 5 years ago
10.1186/s12915-020-00930-0
Current cancer driver variant predictors learn to recognize driver genes instead of functional variantsCited by: 11
Author(s): Daniele Raimondi, Antoine Passemiers, Piero Fariselli, Yves Moreau
Software Mentions: 1
Published: over 5 years ago
10.3389/fmicb.2019.02582
Fourier-Transform Infrared (FTIR) Spectroscopy for Typing of Clinical Enterobacter cloacae Complex IsolatesCited by: 45
Author(s): Sophia Vogt, Kim Löffler, Ariane Dinkelacker, Birgit Bader, Ingo B. Autenrieth, Silke Peter, Jan Liese
Software Mentions: 1
Published: almost 7 years ago
10.1186/s12859-017-1947-7
PON-SC – program for identifying steric clashes caused by amino acid substitutionsCited by: 5
Author(s): Jelena Čalyševa, Mauno Vihinen
Software Mentions: 1
Published: almost 9 years ago
10.1128/mSystems.01013-20
Elucidating the Regulatory Elements for Transcription Termination and Posttranscriptional Processing in the Streptomyces clavuligerus GenomeCited by: 5
Author(s): Soonkyu Hwang, Namil Lee, Donghui Choe, Yong Jae Lee, Woori Kim, Yu‐Jin Jeong, Suhyung Cho, Jaehyung Kim, Byung-Kwan Cho
Software Mentions: 1
Published: about 5 years ago
10.1371/journal.pone.0195328
A note on the analysis of two-stage task results: How changes in task structure affect what model-free and model-based strategies predict about the effects of reward and transition on the stay probabilityCited by: 14
Author(s): Carolina Feher da Silva, Todd A. Hare
Software Mentions: 1
Published: over 8 years ago
10.1371/journal.pone.0193765
On the nature of real and perceived bias in the mainstream mediaCited by: 30
Author(s): Erick Elejalde, Leo Ferres, Eelco Herder
Software Mentions: 1
Published: over 8 years ago
10.1371/journal.pone.0237285
PI Prob: A risk prediction and clinical guidance system for evaluating patients with recurrent infectionsCited by: 13
Author(s): Nicholas L. Rider, Gina Cahill, Tina Motazedi, Lei Wei, Ashok Kurian, Lenora M. Noroski, Filiz O. Seeborg, Iván K. Chinn, Kirk Roberts
Software Mentions: 1
Published: over 5 years ago
10.3389/fmicb.2018.00476
PVP-SVM: Sequence-Based Prediction of Phage Virion Proteins Using a Support Vector MachineCited by: 151
Author(s): Balachandran Manavalan, Tae Hwan Shin, Gwang Lee
Software Mentions: 1
Published: over 8 years ago
10.1371/journal.pone.0086703
Sequence Based Prediction of DNA-Binding Proteins Based on Hybrid Feature Selection Using Random Forest and Gaussian Naïve BayesCited by: 155
Author(s): Wangchao Lou, Xiaoqing Wang, Fan Chen, Yixiao Chen, Bo Jiang, Hua Zhang
Software Mentions: 1
Published: over 12 years ago
10.3389/fmicb.2021.696921
Comparative Analysis of Machine Learning Algorithms on Surface Enhanced Raman Spectra of Clinical Staphylococcus SpeciesCited by: 31
Author(s): Jia-Wei Tang, Qinghua Liu, Xiao-Cong Yin, Ya-Cheng Pan, Pengbo Wen, Xin Liu, Xingxing Kang, Bing Gu, Zuobin Zhu, Liang Wang
Software Mentions: 1
Published: about 5 years ago
10.1186/s12859-017-1528-9
SEPIa, a knowledge-driven algorithm for predicting conformational B-cell epitopes from the amino acid sequenceCited by: 30
Author(s): Γεώργιος Δάλκας, Marianne Rooman
Software Mentions: 1
Published: over 9 years ago
10.3389/fmicb.2021.661132
Machine Learning for Predicting Mycotoxin Occurrence in MaizeCited by: 10
Author(s): Marco Camardo Leggieri, Marco Mazzoni, Paola Battilani
Software Mentions: 1
Published: over 5 years ago
10.7554/eLife.68980
Decoding the brain state-dependent relationship between pupil dynamics and resting state fMRI signal fluctuationCited by: 9
Author(s): Filip Sobczak, Patricia Pais‐Roldán, Kengo Takahashi, Xin Yu
Software Mentions: 1
Published: about 5 years ago
10.1371/journal.pone.0193128
Most yeast SH3 domains bind peptide targets with high intrinsic specificityCited by: 13
Author(s): Tom Brown, Nils Brown, Elliott J. Stollar
Software Mentions: 1
Published: over 8 years ago
10.1371/journal.pone.0137241
Estimating Regions of Oceanographic Importance for Seabirds Using A-Spatial DataCited by: 4
Author(s): Grant R. W. Humphries
Software Mentions: 1
Published: about 11 years ago
10.3389/fmolb.2019.00047
Machine Learning Classification Model for Functional Binding Modes of TEM-1 β-LactamaseCited by: 13
Author(s): Feng Wang, Li Shen, Haoming Zhou, Shouyi Wang, Xinlei Wang, Peng Tao
Software Mentions: 1
Published: about 7 years ago
10.1186/1471-2105-16-S16-S4
TEES 2.2: Biomedical Event Extraction for Diverse CorporaCited by: 29
Author(s): Jari Björne, Tapio Salakoski
Software Mentions: 1
Published: almost 11 years ago
10.3389/fmolb.2020.556481
Discovery of Potential Flavonoid Inhibitors Against COVID-19 3CL Proteinase Based on Virtual Screening StrategyCited by: 44
Author(s): Zhenbo Xu, Lixiang Yang, Xinghao Zhang, Qiling Zhang, Zhibin Ye, Yuanhao Liu, Shuang Wei, Wukun Liu
Software Mentions: 1
Published: almost 6 years ago
10.3389/fmolb.2021.704274
Reconstruction of Three-Dimensional Conformations of Bacterial ClpB from High-Speed Atomic-Force-Microscopy ImagesCited by: 7
Author(s): Bhaskar DasGupta, Osamu Miyashita, Takayuki Uchihashi, Florence Tama
Software Mentions: 1
Published: about 5 years ago
10.1186/s12859-020-03825-7
Evolution of drug resistance in HIV proteaseCited by: 9
Author(s): Dhara Shah, Christopher B. Freas, Irene T. Weber, Robert W. Harrison
Software Mentions: 1
Published: almost 6 years ago
10.7554/eLife.62514
Molecular mechanism for direct actin force-sensing by α-cateninCited by: 54
Author(s): Lin Mei, Santiago Espinosa de los Reyes, Matthew J. Reynolds, Rachel Leicher, Shixin Liu, Gregory M. Alushin
Software Mentions: 1
Published: almost 6 years ago
10.3389/fpls.2018.01102
On-The-Go Hyperspectral Imaging Under Field Conditions and Machine Learning for the Classification of Grapevine VarietiesCited by: 46
Author(s): Salvador Gutiérrez, Juan Fernández‐Novales, María P. Diago, Javier Tardáguila
Software Mentions: 1
Published: about 8 years ago
10.3389/fpls.2020.575810
Wheat Kernel Variety Identification Based on a Large Near-Infrared Spectral Dataset and a Novel Deep Learning-Based Feature Selection MethodCited by: 28
Author(s): Lei Zhou, Chu Zhang, Mohamed Farag Taha, Xinhua Wei, Yong He, Zhengjun Qiu, Yufei Liu
Software Mentions: 1
Published: almost 6 years ago
10.3389/fpls.2019.00155
Deep Learning-Based Segmentation and Quantification of Cucumber Powdery Mildew Using Convolutional Neural NetworkCited by: 125
Author(s): Ke Lin, Liang Gong, Yongfeng Huang, Chengliang Liu, Junsong Pan
Software Mentions: 1
Published: over 7 years ago
10.1371/journal.pone.0122287
Comparison of Sequencing Based CNV Discovery Methods Using Monozygotic Twin QuartetsCited by: 15
Author(s): Marc‐André Legault, Simon L. Girard, Louis‐Philippe Lemieux Perreault, Guy A. Rouleau, Marie‐Pierre Dubé
Software Mentions: 1
Published: over 11 years ago
10.3389/fpsyt.2020.531801
Decomposed Temporal Complexity Analysis of Neural Oscillations and Machine Learning Applied to Alzheimer’s Disease DiagnosisCited by: 3
Author(s): Naoki Furutani, Yuta Nariya, Tetsuya Takahashi, Sarah Noto, Albert C. Yang, Tetsu Hirosawa, Masafumi Kameya, Yoshio Minabe, Mitsuru Kikuchi
Software Mentions: 1
Published: about 6 years ago
10.3389/fpsyt.2021.598518
Predicting Brain Age at Slice Level: Convolutional Neural Networks and Consequences for InterpretabilityCited by: 9
Author(s): Pedro Ballester, Laura Tomaz da Silva, Matheus Marcon, Nathália Bianchini Esper, Benício N. Frey, Augusto Buchweitz, Felipe Meneguzzi
Software Mentions: 1
Published: over 5 years ago
10.3390/ani10060927
Reliability of Family Dogs’ Sleep Structure Scoring Based on Manual and Automated Sleep Stage IdentificationCited by: 12
Author(s): Anna Gergely, Orsolya Kiss, Vivien Reicher, Ivaylo Borislavov Iotchev, Enikő Kovács, Ferenc Gombos, András A. Benczúr, Attila Galambos, József Topál, Anna Kis
Software Mentions: 1
Published: over 6 years ago
10.1371/journal.pone.0248737
Differential privacy fuzzy C-means clustering algorithm based on gaussian kernel functionCited by: 4
Author(s): Yaling Zhang, Jie Han
Software Mentions: 1
Published: over 5 years ago
10.3389/fpsyt.2021.728278
What Factors Are Most Closely Associated With Mood Disorders in Adolescents During the COVID-19 Pandemic? A Cross-Sectional Study Based on 1,771 Adolescents in Shandong Province, ChinaCited by: 38
Author(s): Ziyuan Ren, Yaodong Xin, Zhong Lin Wang, Dexiang Liu, Roger Ho, Cyrus S.H. Ho
Software Mentions: 1
Published: almost 5 years ago
10.3389/fpsyt.2020.00189
Proteomic Profiling as a Diagnostic Biomarker for Discriminating Between Bipolar and Unipolar DepressionCited by: 9
Author(s): Sarah Kittel‐Schneider, Tim Hahn, F. Haenisch, Rhiannon V. McNeill, Andreas Reif, Sabine Bahn
Software Mentions: 1
Published: over 6 years ago
10.3389/fpsyt.2020.00144
Classification of Social Anxiety Disorder With Support Vector Machine Analysis Using Neural Correlates of Social Signals of ThreatCited by: 13
Author(s): Mengqi Xing, Jacklynn M. Fitzgerald, Heide Klumpp
Software Mentions: 1
Published: over 6 years ago
10.1186/s12859-019-3281-8
Immune repertoire fingerprinting by principal component analysis reveals shared features in subject groups with common exposuresCited by: 6
Author(s): Alexander M. Sevy, Cinque Soto, Robin Bombardi, Jens Meiler, James E. Crowe
Software Mentions: 1
Published: almost 7 years ago
10.3389/fpsyt.2020.593336
Ensemble Learning of Convolutional Neural Network, Support Vector Machine, and Best Linear Unbiased Predictor for Brain Age Prediction: ARAMIS Contribution to the Predictive Analytics Competition 2019 ChallengeCited by: 18
Author(s): Baptiste Couvy‐Duchesne, Johann Faouzi, Benoît Martin, Elina Thibeau–Sutre, Adam Wild, Manon Ansart, Stanley Durrleman, Didier Dormont, Ninon Burgos, Olivier Colliot
Software Mentions: 1
Published: over 5 years ago
10.3389/fpsyt.2021.655292
Deep Neural Network to Differentiate Brain Activity Between Patients With First-Episode Schizophrenia and Healthy Individuals: A Multi-Channel Near Infrared Spectroscopy StudyCited by: 12
Author(s): Po-Han Chou, Yun Han Yao, Rui Zheng, Yi Long Liou, Tsung Te Liu, Hsien Yuan Lane, Albert C. Yang, Shao-Cheng Wang
Software Mentions: 1
Published: over 5 years ago
10.3389/fpsyg.2021.647956
Securing Your Relationship: Quality of Intimate Relationships During the COVID-19 Pandemic Can Be Predicted by Attachment StyleCited by: 18
Author(s): Stephanie J. Eder, Andrew A. Nicholson, Michał Stefańczyk, Michał Pieniak, Judit Martínez-Molina, Ondra Pešout, Jakub Binter, Patrick Smela, Frank Scharnowski, David Steyrl
Software Mentions: 1
Published: about 5 years ago
10.3389/fpsyg.2021.604522
A Recurrent Neural Network for Attenuating Non-cognitive Components of Pupil DynamicsCited by: 1
Author(s): Sharath Koorathota, Kaveri A. Thakoor, Linbi Hong, Yaoli Mao, Patrick Adelman, Paul Sajda
Software Mentions: 1
Published: over 5 years ago
10.1371/journal.pone.0166866
Towards the Automatic Classification of Avian Flight Calls for Bioacoustic MonitoringCited by: 68
Author(s): Justin Salamon, Juan Pablo Bello, Andrew Farnsworth, Matt Robbins, Sara Keen, Holger Klinck, Steve Kelling
Software Mentions: 1
Published: almost 10 years ago
10.1186/s12859-018-2340-x
Machine Learning for detection of viral sequences in human metagenomic datasetsCited by: 34
Author(s): Zurab Bzhalava, Ardii Tampuu, Piotr Bała, Raúl Vicente, Joakim Dillner
Software Mentions: 1
Published: almost 8 years ago
10.3389/fpsyg.2020.551548
Fatigue-Related and Timescale-Dependent Changes in Individual Movement Patterns Identified Using Support Vector MachineCited by: 13
Author(s): Johannes Burdack, Fabian Horst, Daniel Aragonés, Alexander Eekhoff, Wolfgang I. Schöllhorn
Software Mentions: 1
Published: almost 6 years ago
10.1371/journal.pone.0217053
Automatic classification of focal liver lesions based on MRI and risk factorsCited by: 39
Author(s): Mariëlle J. A. Jansen, Hugo J. Kuijf, Wouter B. Veldhuis, Frank J. Wessels, Max A. Viergever, Josien P. W. Pluim
Software Mentions: 1
Published: over 7 years ago
10.3389/fpsyg.2018.01545
Good Things for Those Who Wait: Predictive Modeling Highlights Importance of Delay Discounting for Income AttainmentCited by: 13
Author(s): William Heyward Hampton, Nima Asadi, Ingrid R. Olson
Software Mentions: 1
Published: about 8 years ago
10.1371/journal.pone.0211770
Visual cues that predict intuitive risk perception in the case of HIVCited by: 4
Author(s): Ralf Schmälzle, Freda–Marie Hartung, Alexander Barth, Martin A. Imhof, Alex Kenter, Britta Renner, Harald T. Schupp
Software Mentions: 1
Published: over 7 years ago
10.3389/fpubh.2021.630640
Work Habit-Related Sleep Debt; Insights From Factor Identification Analysis of Actigraphy DataCited by: 7
Author(s): Yuki Goto, Koichi Fujiwara, Yukiyoshi Sumi, Masahiro Matsuo, Manabu Kano, Hiroshi Kadotani
Software Mentions: 1
Published: over 5 years ago
10.1371/journal.pone.0255693
Prediction of HIV drug resistance based on the 3D protein structure: Proposal of molecular field mappingCited by: 4
Author(s): Ryosaku Ota, Kanako So, Masahiro Tsuda, Yuriko Higuchi, Fumiyoshi Yamashita
Software Mentions: 1
Published: about 5 years ago
10.3389/frobt.2018.00035
Tracking All Members of a Honey Bee Colony Over Their Lifetime Using Learned Models of CorrespondenceCited by: 35
Author(s): Franziska Boenisch, Benjamin Rosemann, Benjamin Wild, David Dormagen, Fernando Wario, Tim Landgraf
Software Mentions: 1
Published: over 8 years ago
10.3389/frobt.2019.00077
Incremental and Parallel Machine Learning Algorithms With Automated Learning Rate AdjustmentsCited by: 2
Author(s): Kazuhiro Hishinuma, Hideaki Iiduka
Software Mentions: 1
Published: about 7 years ago
10.3389/frobt.2018.00085
Teaching a Robot Bimanual Hand-Clapping Games via Wrist-Worn IMUsCited by: 5
Author(s): Naomi T. Fitter, Katherine J. Kuchenbecker
Software Mentions: 1
Published: about 8 years ago
10.3389/frobt.2021.672315
Optical-Tactile Sensor for Lump Detection Using Pneumatic ControlCited by: 6
Author(s): Jonathan Bewley, George P. Jenkinson, Antonia Tzemanaki
Software Mentions: 1
Published: about 5 years ago
10.3389/frobt.2019.00124
Tactile Signatures and Hand Motion Intent Recognition for Wearable Assistive DevicesCited by: 7
Author(s): Thekla Stefanou, Greg Chance, Tareq Assaf, Sanja Dogramadzi
Software Mentions: 1
Published: almost 7 years ago
10.3389/frobt.2021.729832
Automatic Detection of Gaze and Body Orientation in Elementary School ClassroomsCited by: 3
Author(s): Roberto Araya, Jorge Sossa-Rivera
Software Mentions: 1
Published: about 5 years ago
10.3389/frobt.2021.696587
Aiding Grasp Synthesis for Novel Objects Using Heuristic-Based and Data-Driven Active Vision MethodsCited by: 1
Author(s): Sabhari Natarajan, Galen Brown, Berk Çallı
Software Mentions: 1
Published: about 5 years ago
10.3389/frobt.2020.522141
A Framework for Sensorimotor Cross-Perception and Cross-Behavior Knowledge Transfer for Object CategorizationCited by: 5
Author(s): Gyan Tatiya, Ramtin Hosseini, Michael C. Hughes, Jivko Sinapov
Software Mentions: 1
Published: almost 6 years ago
10.3389/frobt.2019.00092
Unsupervised Phoneme and Word Discovery From Multiple Speakers Using Double Articulation Analyzer and Neural Network With Parametric BiasCited by: 3
Author(s): Ryoichi Nakashima, Ryo Ozaki, Tadahiro Taniguchi
Software Mentions: 1
Published: almost 7 years ago
10.3389/frobt.2020.00038
A Robust Screen-Free Brain-Computer Interface for Robotic Object SelectionCited by: 0
Author(s): Henrich Kolkhorst, Joseline Veit, Wolfram Burgard, Michael Tangermann
Software Mentions: 1
Published: over 6 years ago
10.1371/journal.pone.0145118
Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison StudyCited by: 127
Author(s): Oskar Maier, Christoph Schröder, Nils D. Forkert, Thomas Martinetz, Heinz Handels
Software Mentions: 1
Published: over 10 years ago
10.3389/fvets.2021.639249
Three-Dimensional Live Imaging of Bovine Preimplantation Embryos: A New Method for IVF Embryo EvaluationCited by: 4
Author(s): Yasumitsu Masuda, Ryo Hasebe, Yasushi Kuromi, Masayoshi Kobayashi, Kanako Urataki, Mitsugu Hishinuma, Tetsuya Ohbayashi, Ryo Nishimura
Software Mentions: 1
Published: over 5 years ago
10.2144/fsoa-2019-0131
Integrating computational lead optimization diagnostics with analog design and candidate selectionCited by: 5
Author(s): Dimitar Yonchev, Jürgen Bajorath
Software Mentions: 1
Published: over 6 years ago
10.1371/journal.pone.0234871
A rapid volume of interest-based approach of radiomics analysis of breast MRI for tumor decoding and phenotyping of breast cancerCited by: 28
Author(s): Aydın Demircioğlu, Johannes Grueneisen, Marc Ingenwerth, Oliver Hoffmann, Katja Pinker-Domenig, Elizabeth A. Morris, Johannes Haubold, Michael Forsting, Felix Nensa, Lale Umutlu
Software Mentions: 1
Published: about 6 years ago
10.1534/g3.115.025882
Genome-Wide Analysis of the TORC1 and Osmotic Stress Signaling Network in<i>Saccharomyces cerevisiae</i>Cited by: 9
Author(s): Jeremy Worley, Arron Sullivan, Xiangxia Luo, Matt Kaplan, Andrew P. Capaldi
Software Mentions: 1
Published: over 10 years ago
10.1371/journal.pone.0153208
Automated Segmentation of Skin Strata in Reflectance Confocal Microscopy Depth StacksCited by: 15
Author(s): Samuel C. Hames, Marco Ardigò, H. Peter Soyer, Andrew P. Bradley, Tarl W. Prow
Software Mentions: 1
Published: over 10 years ago
10.1186/s12859-019-2868-4
Statistical representation models for mutation information within genomic dataCited by: 4
Author(s): N. Özlem Özcan Şimşek, Arzucan Özgür, Fikret Gürgen
Software Mentions: 1
Published: about 7 years ago
10.1371/journal.pone.0230164
Use of relevancy and complementary information for discriminatory gene selection from high-dimensional gene expression dataCited by: 3
Author(s): Nazmul Haque, Sadia Sharmin, Amin Ahsan Ali, Abu Ashfaqur Sajib, Mohammad Shoyaib
Software Mentions: 1
Published: almost 5 years ago
10.1534/g3.120.401122
QTG-Finder2: A Generalized Machine-Learning Algorithm for Prioritizing QTL Causal Genes in PlantsCited by: 6
Author(s): Fan Lin, Elena Lazarus, Seung Y. Rhee
Software Mentions: 1
Published: about 6 years ago
10.1371/journal.pone.0177239
Mapping the emotional face. How individual face parts contribute to successful emotion recognitionCited by: 196
Author(s): Martin Wegrzyn, Maria Vogt, Berna Kireclioglu, Julia Schneider, Johanna Kißler
Software Mentions: 1
Published: over 9 years ago
10.1371/journal.pone.0247243
Registration of spatio-temporal point clouds of plants for phenotypingCited by: 17
Author(s): Nived Chebrolu, Federico Magistri, Thomas Läbe, Cyrill Stachniss
Software Mentions: 1
Published: over 5 years ago
10.1371/journal.pone.0173647
Simple agarose micro-confinement array and machine-learning-based classification for analyzing the patterned differentiation of mesenchymal stem cellsCited by: 18
Author(s): Nobuyuki Tanaka, Tadahiro Yamashita, Asako Sato, Viola Vogel, Yo Tanaka
Software Mentions: 1
Published: over 9 years ago
10.1371/journal.pone.0184216
Automatic machine-learning based identification of jogging periods from accelerometer measurements of adolescents under field conditionsCited by: 34
Author(s): Eftim Zdravevski, Biljana Risteska Stojkoska, Marie Standl, Holger Schulz
Software Mentions: 1
Published: about 9 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
10.1371/journal.pone.0205348
Automated classification of synaptic vesicles in electron tomograms of C. elegans using machine learningCited by: 7
Author(s): Kristin Verena Kaltdorf, M. Theiß, Sebastian M. Markert, Mei Zhen, Thomas Dandekar, Christian Stigloher, Philip Kollmannsberger
Software Mentions: 1
Published: almost 8 years ago
10.3390/genes10100812
Identification of Key Genes for the Precise Classification between Solenopsis invicta and S. geminata Facilitating the Quarantine ProcessCited by: 2
Author(s): Kil-Hyun Kim, Jisu Kim, Hyun-Ji Cho, Jong-Ho Lee, Tae-Hwan Jun, Yang-Jae Kang
Software Mentions: 1
Published: almost 7 years ago
10.3390/genes10110836
Deregulated Adhesion Program in Palatal Keratinocytes of Orofacial Cleft PatientsCited by: 1
Author(s): Aysel Mammadova, Carine Carels, Jie Zhou, Christian Gilissen, Maria P. A. C. Helmich, Zhuan Bian, Huiqing Zhou, Johannes W. Von den Hoff
Software Mentions: 1
Published: almost 7 years ago
10.1371/journal.pntd.0009530
Dipeptidyl peptidase III as a DNA marker to investigate epidemiology and taxonomy of Old World Leishmania speciesCited by: 0
Author(s): Insaf Bel Hadj Ali, Hamed Chouaieb, Yusr Saadi Ben Aoun, Emna Harigua‐Souiai, Hejer Souguir, Alia Yaacoub, Oussaïma El Dbouni, Zoubir Harrat, Maowia M. Mukhtar, M. Ben Saïd, Nabil Haddad, Akila Fathallah-Mili, Ikram Guizani
Software Mentions: 1
Published: about 5 years ago