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
Academic repository owner
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
Penalties:
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PyPI ecosystem
General-purpose ecosystem
Very Likely Science (100)
Papers Mentioning scikit-learn 2,431
10.1038/s41598-020-69848-5
Deep learning on the 2-dimensional Ising model to extract the crossover region with a variational autoencoderCited by: 16
Author(s): Nicholas Walker, Ka-Ming Tam, Mark Jarrell
Software Mentions: 2
Published: about 6 years ago
10.1038/s41598-020-69927-7
Sibling validation of polygenic risk scores and complex trait predictionCited by: 21
Author(s): Louis Lello, Timothy G. Raben, Stephen Hsu
Software Mentions: 2
Published: about 6 years ago
10.1038/s41598-020-76129-8
Identification of early liver toxicity gene biomarkers using comparative supervised machine learningCited by: 11
Author(s): Brandi Patrice Smith, Loretta Auvil, Michael Welge, Colleen Bushell, Rohit Bhargava, Navin Elango, Kamin J. Johnson, Zeynep Madak-Erdoğan
Software Mentions: 2
Published: almost 6 years ago
10.1038/s41598-020-76928-z
Machine learning predicts live-birth occurrence before in-vitro fertilization treatmentCited by: 25
Author(s): Ashish Goyal, Maheshwar Kuchana, Kameswari Prasada Rao Ayyagari
Software Mentions: 2
Published: almost 6 years ago
10.1038/s41598-020-79217-x
Sleep classification from wrist-worn accelerometer data using random forestsCited by: 40
Author(s): Kalaivani Sundararajan, Sonja Georgievska, Bart H W Te Lindert, Philip Gehrman, Jennifer Ramautar, Diego R. Mazzotti, Séverine Sabia, Michael N. Weedon, Eus J.W. Van Someren, Lars Ridder, Jian Wang, Vincent T. van Hees
Software Mentions: 2
Published: over 5 years ago
10.1038/s41598-021-82612-7
Explainable drug sensitivity prediction through cancer pathway enrichmentCited by: 16
Author(s): Yi-Ching Tang, Assaf Gottlieb
Software Mentions: 2
Published: over 5 years ago
10.1038/s41598-021-83424-5
Assisting scalable diagnosis automatically via CT images in the combat against COVID-19Cited by: 21
Author(s): Bohan Liu, Pan Liu, Lutao Dai, Yanlin Yang, Peng Xie, Yiqing Tan, Jicheng Du, Wei Shan, Chenghui Zhao, Qin Zhong, Xixiang Lin, Xizhou Guan, Ning Xing, Yuhui Sun, Wenjun Wang, Zhibing Zhang, Xinping Fu, Yanqing Fan, Meifang Li, Na Zhang, Lin Li, Yaou Liu, Lin Xu, Juan Du, Zhenhua Zhao, Xuelong Hu, Weipeng Fan, Rongpin Wang, Chongchong Wu, Yongkang Nie, Liuquan Cheng, Lin Ma, Zongren Li, Jia Qian, Minchao Liu, Huayuan Guo, Gao Huang, Haipeng Shen, Liang Zhang, Peifang Zhang, Gang Guo, Hao Li, Weimin An, Zhou Jian-xin, Kunlun He
Software Mentions: 2
Published: over 5 years ago
10.1038/s41598-021-84504-2
Machine learning-based prediction model using clinico-pathologic factors for papillary thyroid carcinoma recurrenceCited by: 13
Author(s): Young Min Park, Byung‐Joo Lee
Software Mentions: 2
Published: over 5 years ago
10.1038/s41598-021-87455-w
Motor and sensory features successfully decode autism spectrum disorder and combine with the original RDoC framework to boost diagnostic classificationCited by: 12
Author(s): Laura Harrison, Anastasiya Kats, Emily Kilroy, Christiana Butera, Aditya Jayashankar, Ümit Keleş, Lisa Aziz‐Zadeh
Software Mentions: 2
Published: over 5 years ago
10.1038/s41598-021-87748-0
A deep learning model to detect pancreatic ductal adenocarcinoma on endoscopic ultrasound-guided fine-needle biopsyCited by: 30
Author(s): Yoshiki Naito, Masayuki Tsuneki, Noriyoshi Fukushima, Yutaka Koga, Michiyo Higashi, Kenji Notohara, Shinichi Aishima, Nobuyuki Ohike, Takuma Tajiri, Hiroshi Yamaguchi, Yuki Fukumura, Masaru Kojima, Kenichi Hirabayashi, Yusuke Hamada, Tomoko Norose, Keita Kai, Yuko Omori, Aoi Sukeda, Hirotsugu Noguchi, Kaori Uchino, Junya Itakura, Yoshinobu Okabe, Yuichi Yamada, Jun Akiba, Fahdi Kanavati, Yoshinao Oda, Toru Furukawa, Hirohisa Yano
Software Mentions: 2
Published: over 5 years ago
10.1038/s41598-021-92475-7
Predicting lethal courses in critically ill COVID-19 patients using a machine learning model trained on patients with non-COVID-19 viral pneumoniaCited by: 10
Author(s): Gregor Lichtner, Felix Balzer, Stefan Haufe, Niklas Giesa, Fridtjof Schiefenhövel, Malte L Schmieding, Carlo Jurth, Wolfgang Kopp, Altuna Akalin, Stefan Schaller, Steffen Weber‐Carstens, Claudia Spies, Falk von Dincklage
Software Mentions: 2
Published: about 5 years ago
10.1038/s41598-021-93070-6
Random forest classification for predicting lifespan-extending chemical compoundsCited by: 14
Author(s): Sofia Kapsiani, Brendan J. Howlin
Software Mentions: 2
Published: about 5 years ago
10.1038/s41598-021-93608-8
Deep learning identifies antigenic determinants of severe SARS-CoV-2 infection within T-cell repertoiresCited by: 8
Author(s): John-William Sidhom, Alexander S. Baras
Software Mentions: 2
Published: about 5 years ago
10.1038/s41396-020-0650-2
High functional diversity among Nitrospira populations that dominate rotating biological contactor microbial communities in a municipal wastewater treatment plantCited by: 77
Author(s): Emilie Spasov, Jackson M. Tsuji, Laura Hug, Andrew C. Doxey, Laura A. Sauder, Wayne Parker, Josh D. Neufeld
Software Mentions: 2
Published: over 6 years ago
10.1038/s41396-021-00926-w
Genomic network analysis of environmental and livestock F-type plasmid populationsCited by: 19
Author(s): William Matlock, Kevin Chau, Manal AbuOun, Emma Stubberfield, Leanne Barker, James Kavanagh, Hayleah Pickford, Daniel Gilson, Richard P. Smith, Hyun S. Gweon, Sarah Hoosdally, Jeremy Swann, Robert Sebra, Mark Bailey, Peto Tea., Derrick W. Crook, Muna F. Anjum, Daniel S. Read, A Sarah Walker, Nicole Stoesser, Liam Shaw, Howard Brett, Mike Bowes, Nicola De Maio, Nicholas Duggett, Duncan Wilson, Alasdair T. M. Hubbard, Hannah Jones, Anna E. Sheppard, Neil Woodford
Software Mentions: 2
Published: over 5 years ago
10.1007/s10895-020-02635-7
A Novel Dual Antibody Staining Assay to Measure Estrogen Receptor Transcriptional ActivityCited by: 1
Author(s): Freek van Hemert, Christa Dam-de Veen, Sil Konings, John van der Ven, Anja van de Stolpe
Software Mentions: 2
Published: almost 6 years ago
10.1155/2019/4253641
Automated Breast Cancer Diagnosis Based on Machine Learning AlgorithmsCited by: 104
Author(s): Habib Dhahri, Eslam Al Maghayreh, Awais Mahmood, Wail S. Elkilani, Mohammed Faisal
Software Mentions: 2
Published: almost 7 years ago
10.3390/jimaging7020024
Real-Time Quality Control of Heat Sealed Bottles Using Thermal Images and Artificial Neural NetworkCited by: 6
Author(s): Samuel Cruz, Antönio Paulino, João Durães, Mateus Mendes
Software Mentions: 2
Published: over 5 years ago
10.2196/19679
Analysis of Health Insurance Big Data for Early Detection of Disabilities: Algorithm Development and ValidationCited by: 3
Author(s): Seung-Hyun Jeong, Tae Rim Lee, Jung Bae Kang, Mun-Taek Choi
Software Mentions: 2
Published: almost 6 years ago
10.2196/15992
Deep Learning Neural Networks to Predict Serious Complications After Bariatric Surgery: Analysis of Scandinavian Obesity Surgery Registry DataCited by: 16
Author(s): Yang Cao, Scott Montgomery, Johan Ottosson, Erik Näslund, Erik Stenberg
Software Mentions: 2
Published: over 6 years ago
10.2196/25165
Gender Prediction for a Multiethnic Population via Deep Learning Across Different Retinal Fundus Photograph Fields: Retrospective Cross-sectional StudyCited by: 10
Author(s): Bjorn Kaijun Betzler, Henrik Hee Seung Yang, Sahil Thakur, Marco Yu, Ten Cheer Quek, Zhi Da Soh, Geunyoung Lee, Yih‐Chung Tham, Tien‐Yin Wong, Tyler Hyungtaek Rim, Ching‐Yu Cheng
Software Mentions: 2
Published: about 5 years ago
10.2196/18186
Artificial Intelligence–Based Multimodal Risk Assessment Model for Surgical Site Infection (AMRAMS): Development and Validation StudyCited by: 16
Author(s): Weijia Chen, Zhijun Lu, You Li-jue, Lingling Zhou, Jianpeng Xu, Ken Chen
Software Mentions: 2
Published: over 6 years ago
10.2196/28272
Document Retrieval for Precision Medicine Using a Deep Learning Ensemble MethodCited by: 3
Author(s): Zhiqiang Liu, Jingkun Feng, Zhihao Yang, Lei Wang
Software Mentions: 2
Published: about 5 years ago
10.2196/publichealth.8950
Accurate Influenza Monitoring and Forecasting Using Novel Internet Data Streams: A Case Study in the Boston MetropolisCited by: 83
Author(s): Fred Lu, Suqin Hou, Kristin Baltrusaitis, Manan Shah, Jure Leskovec, Rok Sosič, Joseph E. Hawkins, John S. Brownstein, Giuseppe Conidi, Julia Gunn, Josh Gray, Anna Zink, Mauricio Santillana
Software Mentions: 2
Published: over 8 years ago
10.3390/ijerph16152666
Comparisons among Machine Learning Models for the Prediction of Hypercholestrolemia Associated with Exposure to Lead, Mercury, and CadmiumCited by: 7
Author(s): Hyejin Park, Kisok Kim
Software Mentions: 2
Published: about 7 years ago
10.3390/ijerph17051498
Characterization of Esophageal Cancer and Its Association with Influencing Factors in Guangzhou City, ChinaCited by: 4
Author(s): Cheng Cui, Dong Hua, Hongyan Ren, Guozhen Lin, Lu Zhao
Software Mentions: 2
Published: over 6 years ago
10.3390/ijerph17113763
An Integrated Approach for Spatio-Temporal Cholera Disease Hotspot Relation Mining for Public Health Management in Punjab, PakistanCited by: 7
Author(s): Fatima Khalique, Shoab Ahmed Khan, Wasi Haider Butt, Irum Matloob
Software Mentions: 2
Published: over 6 years ago
10.3390/ijerph17145115
Forecasting Covid-19 Dynamics in Brazil: A Data Driven ApproachCited by: 48
Author(s): Igor Gadelha Pereira, Joris Guérin, Andouglas Gonçalves Silva Júnior, Gabriel S. Garcia, Prisco Piscitelli, Alessandro Miani, Cosimo Distante, Luiz Marcos Garcia Gonçalves
Software Mentions: 2
Published: about 6 years ago
10.3390/ijerph17249471
Roadside Air Quality Forecasting in Shanghai with a Novel Sequence-to-Sequence ModelCited by: 6
Author(s): Dongsheng Wang, Hongwei Wang, Chao Li, Kang Lu, Zhong-Ren Peng, Juanhao Zhao, Qingyan Fu, Jianwen Pan
Software Mentions: 2
Published: over 5 years ago
10.3390/ijerph18105332
Risk Prediction of Barrett’s Esophagus in a Taiwanese Health Examination Center Based on Regression ModelsCited by: 1
Author(s): Po-Hsiang Lin, Jer‐Guang Hsieh, Hsien‐Chung Yu, Jyh-Horng Jeng, Chiao-Lin Hsu, Chien‐Hua Chen, Pin-Chieh Wu
Software Mentions: 2
Published: over 5 years ago
10.3390/ijerph18168265
Effect of the COVID-19 Lockdown on Air Pollution in the Ostrava RegionCited by: 4
Author(s): Jan Bitta, Vladislav Svozilík, Aneta Svozilíková Krakovská
Software Mentions: 2
Published: about 5 years ago
10.2196/25415
Assessing Electrocardiogram and Respiratory Signal Quality of a Wearable Device (SensEcho): Semisupervised Machine Learning-Based Validation StudyCited by: 8
Author(s): Haoran Xu, Wei Yan, Ke Lan, Chenbin Ma, Di Wu, Anshuo Wu, Zhicheng Yang, Jiachen Wang, Yaning Zang, Muyang Yan, Zhengbo Zhang
Software Mentions: 2
Published: about 5 years ago
10.1093/infdis/jiy427
Genome-Wide Sequence Analysis of Kaposi Sarcoma-Associated Herpesvirus Shows Diversification Driven by RecombinationCited by: 26
Author(s): Neneh Sallah, Anne L. Palser, Simon J. Watson, Nazzarena Labò, Gershim Asiki, Vickie Marshall, Robert Newton, Paul Kellam, Inês Barroso
Software Mentions: 2
Published: about 8 years ago
10.7554/eLife.26066
Quantitative 3D-imaging for cell biology and ecology of environmental microbial eukaryotesCited by: 38
Author(s): Sébastien Colin, Luís Pedro Coelho, Shinichi Sunagawa, Chris Bowler, Eric Karsenti, Peer Bork, Rainer Pepperkok, Colomban de Vargas
Software Mentions: 2
Published: almost 9 years ago
10.7554/eLife.43803
Identifying gene expression programs of cell-type identity and cellular activity with single-cell RNA-SeqCited by: 212
Author(s): Dylan Kotliar, Adrian Veres, Martina Nagy, Shervin Tabrizi, Eran Hodis, Douglas A. Melton, Pardis C. Sabeti
Software Mentions: 2
Published: about 7 years ago
10.7554/eLife.67403
Information content differentiates enhancers from silencers in mouse photoreceptorsCited by: 10
Author(s): Ryan Z. Friedman, David M Granas, Connie A. Myers, Joseph C. Corbo, Barak A. Cohen, Michael A. White
Software Mentions: 2
Published: about 5 years ago
10.7554/eLife.53148
Quantitative properties of a feedback circuit predict frequency-dependent pattern separationCited by: 18
Author(s): Oliver Braganza, Daniel Mueller-Komorowska, T. Kelly, Hanno Beck
Software Mentions: 2
Published: over 6 years ago
10.7554/eLife.31097
Prediction of enzymatic pathways by integrative pathway mappingCited by: 26
Author(s): Sara Calhoun, Magdalena Korczynska, D. Wichelecki, Brian San Francisco, Suwen Zhao, Dmitry A. Rodionov, M.W. Vetting, Nawar Al-Obaidi, Henry J. Lin, Matthew J. O’Meara, David A. Scott, John H. Morris, Daniel Russel, Steven C. Almo, Andrei L. Osterman, J.A. Gerlt, Matthew P. Jacobson, Brian K. Shoichet, Andrej Šali
Software Mentions: 2
Published: over 8 years ago
10.7554/eLife.53385
NeuroQuery, comprehensive meta-analysis of human brain mappingCited by: 91
Author(s): Jérôme Dockès, Russell A. Poldrack, Romain Primet, Hande Gözükan, Tal Yarkoni, Fabian M. Suchanek, Bertrand Thirion, Gaël Varoquaux
Software Mentions: 2
Published: over 6 years ago
10.1038/s41598-020-61899-y
Probing and predicting ganglion cell responses to smooth electrical stimulation in healthy and blind mouse retinaCited by: 13
Author(s): Larissa Höfling, Jonathan Oesterle, Philipp Berens, Günther Zeck
Software Mentions: 1
Published: over 6 years ago
10.1038/s41598-020-62342-y
Pilot study of eruption forecasting with muography using convolutional neural networkCited by: 14
Author(s): Yukihiro Nomura, Mitsutaka Nemoto, Naoto Hayashi, Shouhei Hanaoka, Masaki Murata, Tsuneo Yoshikawa, Yoshitaka Masutani, Eriko Maeda, Osamu Abe, Hiroyuki Tanaka
Software Mentions: 1
Published: over 6 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
10.1038/s41598-020-62729-x
Predictive Analytics for Retention in Care in an Urban HIV ClinicCited by: 20
Author(s): Arthi Ramachandran, Avishek Kumar, Hannes Koenig, Adolfo De Unánue, Christina Sung, Joe Walsh, John A. Schneider, Rayid Ghani, Jessica P Ridgway
Software Mentions: 1
Published: over 6 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
10.1038/s41598-020-64243-6
Identifying task-relevant spectral signatures of perceptual categorization in the human cortexCited by: 2
Author(s): Ilya Kuzovkin, Juan R. Vidal, Marcela Perrone‐Bertolotti, Philippe Kahane, Sylvain Rheims, Jaan Aru, Jean-Philippe Lachaux, Raúl Vicente
Software Mentions: 1
Published: over 6 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
10.1038/s41598-020-64912-6
An Automated Segmentation Pipeline for Intratumoural Regions in Animal Xenografts Using Machine Learning and Saturation Transfer MRICited by: 5
Author(s): Wilfred Lam, Wendy Oakden, Ezatollah Karami, Margaret M. Koletar, Leedan Murray, Stanley K. Liu, Ali Sadeghi‐Naini, Greg J. Stanisz
Software Mentions: 1
Published: over 6 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
10.1038/s41598-020-66333-x
Weakly-supervised learning for lung carcinoma classification using deep learningCited by: 111
Author(s): Fahdi Kanavati, Gouji Toyokawa, Seiya Momosaki, Michael Rambeau, Yuka Kozuma, Shoji Fukushima, Koji Yamazaki, Sadanori Takeo, Osamu Iizuka, Masayuki Tsuneki
Software Mentions: 1
Published: over 6 years ago
10.1038/s41598-020-66255-8
Prediction of prostate cancer aggressiveness using 18F-Fluciclovine (FACBC) PET and multisequence multiparametric MRICited by: 3
Author(s): Parisa Movahedi, Harri Merisaari, Ileana Montoya Perez, Pekka Taimen, Jukka Kemppainen, Anna Kuisma, Olli Eskola, Jarmo Teuho, Jani Saunavaara, M. Pesola, Esa Kähkönen, Otto Ettala, Timo Liimatainen, Tapio Pahikkala, Peter J. Boström, Hannu J. Aronen, Heikki Minn, Ivan Jambor
Software Mentions: 1
Published: over 6 years ago
10.1038/s41598-020-66424-9
An Incremental Voltage Difference Based Technique for Online State of Health Estimation of Li-ion BatteriesCited by: 37
Author(s): Arunava Naha, Sangmin Han, Samarth Agarwal, Arun K. Guha, Ashish Khandelwal, Piyush Tagade, Krishnan S. Hariharan, Subramanya Mayya Kolake, Jongmoon Yoon, Bookeun Oh
Software Mentions: 1
Published: over 6 years ago
10.1038/s41598-020-67178-0
A machine learning-based prognostic predictor for stage III colon cancerCited by: 31
Author(s): Dan Jiang, Junhua Liao, Haihan Duan, Qingbin Wu, Gemma Owen, Chang Shu, Liangyin Chen, Yanjun He, Ziqian Wu, Du He, Wenyan Zhang, Ziqiang Wang
Software Mentions: 1
Published: about 6 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
10.1038/s41598-020-67878-7
Integrated network modeling approach defines key metabolic responses of soil microbiomes to perturbationsCited by: 9
Author(s): Ryan McClure, Joon‐Yong Lee, Taniya Roy Chowdhury, Eric Bottos, Richard Allen White, Young-Mo Kim, Carrie Nicora, Thomas O. Metz, Kirsten Hofmockel, Janet K. Jansson, Hyun‐Seob Song
Software Mentions: 1
Published: about 6 years ago
10.1038/s41598-020-67769-x
A regression algorithm for accelerated lattice QCD that exploits sparse inference on the D-Wave quantum annealerCited by: 8
Author(s): Nga T. T. Nguyen, Garrett T. Kenyon, Boram Yoon
Software Mentions: 1
Published: about 6 years ago
10.1038/s41598-020-68156-2
A machine learning workflow for raw food spectroscopic classification in a future industryCited by: 40
Author(s): Panagiοtis Tsakanikas, Apostolos Karnavas, Efstathios Ζ. Panagou
Software Mentions: 1
Published: about 6 years ago
10.1038/s41598-020-67546-w
A machine learning framework for computationally expensive transient modelsCited by: 13
Author(s): Prashant Kumar, Kushal Sinha, Nandkishor K. Nere, Yujin Shin, Raimundo Ho, Laurie Mlinar, Ahmad Y. Sheikh
Software Mentions: 1
Published: about 6 years ago
10.1038/s41598-020-68611-0
Deep learning-based classification of the mouse estrous cycle stagesCited by: 8
Author(s): Kentaro Sano, Shingo Matsuda, Suguru Tohyama, Daisuke Komura, Eiji Shimizu, Chihiro Sutoh
Software Mentions: 1
Published: about 6 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
10.1038/s41598-020-69056-1
Label-free detection of rare circulating tumor cells by image analysis and machine learningCited by: 29
Author(s): Wang Shen, Yuyuan Zhou, Xiaochen Qin, Suresh Nair, Xiaolei Huang, Yaling Liu
Software Mentions: 1
Published: about 6 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/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
10.1016/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
10.1038/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
10.7554/eLife.04878
A dedicated visual pathway for prey detection in larval zebrafishCited by: 150
Author(s): Julie Lee Semmelhack, Joseph C. Donovan, Tod R. Thiele, Enrico Kuehn, Eva Laurell, Herwig Baier
Software Mentions: 1
Published: almost 12 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: almost 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
10.1038/s41598-020-71613-7
A deep learning approach for facility patient attendance prediction based on medical booking dataCited by: 9
Author(s): Francesco Piccialli, Salvatore Cuomo, Danilo Crisci, Edoardo Prezioso, Gang Mei
Software Mentions: 1
Published: about 6 years ago
10.1038/s41598-020-71412-0
Maximizing CRISPR/Cas9 phenotype penetrance applying predictive modeling of editing outcomes in Xenopus and zebrafish embryosCited by: 26
Author(s): Thomas Naert, Dieter Tulkens, Nicole Edwards, Marjolein Carron, Nikko-Ideen Shaidani, Marcin Wlizla, Annekatrien Boel, Suzan Demuynck, Marko E. Horb, Paul Coucke, Andy Willaert, Aaron M. Zorn, Kris Vleminckx
Software Mentions: 1
Published: about 6 years ago
10.1038/s41598-020-71927-6
Machine learning improves the prediction of febrile neutropenia in Korean inpatients undergoing chemotherapy for breast cancerCited by: 11
Author(s): Bum-Joo Cho, Kyoung Min Kim, Sanchir-Erdene Bilegsaikhan, Yong Joon Suh
Software Mentions: 1
Published: about 6 years ago
10.1038/s41598-020-71693-5
Understanding and predicting ciprofloxacin minimum inhibitory concentration in Escherichia coli with machine learningCited by: 20
Author(s): Bálint Ármin Pataki, Sébastien Matamoros, Boas C L van der Putten, Daniel Remondini, Enrico Giampieri, Derya Aytan-Aktug, René S. Hendriksen, Ole Lund, István Csabai, Constance Schultsz
Software Mentions: 1
Published: about 6 years ago
10.1038/s41598-020-72455-z
Melt crystallization mechanism analyzed with dimensional reduction of high-dimensional data representing distribution function geometriesCited by: 2
Author(s): Hiroki Nada
Software Mentions: 1
Published: almost 6 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
10.1038/s41598-020-72317-8
Functional parcellation of the default mode network: a large-scale meta-analysisCited by: 27
Author(s): Shaoming Wang, Lindsey Tepfer, Adrienne A. Taren, David V. Smith
Software Mentions: 1
Published: almost 6 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
10.1038/s41598-020-73611-1
Exploration into biomarker potential of region-specific brain gene co-expression networksCited by: 3
Author(s): Yuqing Hang, Mohammed Aburidi, Benafsh Husain, Allison R Hickman, William L. Poehlman, F. Alex Feltus
Software Mentions: 1
Published: almost 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
10.3389/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/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
10.1038/s41598-020-75715-0
Unsupervised and supervised learning with neural network for human transcriptome analysis and cancer diagnosisCited by: 16
Author(s): Bo Yuan, Dong Yang, Barry Rothberg, Hao Chang, Tian Xu
Software Mentions: 1
Published: almost 6 years ago
10.1038/s41598-020-75446-2
Genetic and non-genetic factors associated with the phenotype of exceptional longevity & normal cognitionCited by: 11
Author(s): Bin Han, Huashuai Chen, Yao Yao, Xiaomin Liu, Chao Nie, Junxia Min, Yi Zeng, Michael W. Lutz
Software Mentions: 1
Published: almost 6 years ago
10.7554/eLife.67685
Cortical magnification in human visual cortex parallels task performance around the visual fieldCited by: 47
Author(s): Noah C. Benson, Eline R Kupers, Antoine Barbot, Marisa Carrasco, Jonathan Winawer
Software Mentions: 1
Published: about 5 years ago
10.1038/s41598-020-76369-8
Predicting antibody affinity changes upon mutations by combining multiple predictorsCited by: 9
Author(s): Yoichi Kurumida, Yutaka Saitô, Tomoshi Kameda
Software Mentions: 1
Published: almost 6 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.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/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/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: about 5 years ago
10.1038/s41598-020-77648-0
TERT promoter alterations could provide a solution for Peto’s paradox in rodentsCited by: 5
Author(s): Balázs Vedelek, Asha Kiran Maddali, Nurgul Davenova, Viktor Vedelek, Imre Boros
Software Mentions: 1
Published: almost 6 years ago
10.1038/s41598-020-77548-3
Using machine learning tools to predict outcomes for emergency department intensive care unit patientsCited by: 20
Author(s): Qiangrong Zhai, Zi Lin, Hua Ge, Yang Liang, Nan Li, Qingbian Ma, Chuyang Ye
Software Mentions: 1
Published: almost 6 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
10.1038/s41598-020-78353-8
Saturation transfer properties of tumour xenografts derived from prostate cancer cell lines 22Rv1 and DU145Cited by: 1
Author(s): Ziyu Tan, Wilfred Lam, Wendy Oakden, Leedan Murray, Margaret M. Koletar, Stanley K. Liu, Greg J. Stanisz
Software Mentions: 1
Published: almost 6 years ago
10.1038/s41598-020-76874-w
Feature replacement methods enable reliable home video analysis for machine learning detection of autismCited by: 28
Author(s): Émilie Leblanc, Peter Washington, Maya Varma, Kaitlyn Dunlap, Yordan Penev, Aaron Kline, Dennis P. Wall
Software Mentions: 1
Published: almost 6 years ago
10.1038/s41598-020-77474-4
Symmetry prediction and knowledge discovery from X-ray diffraction patterns using an interpretable machine learning approachCited by: 51
Author(s): Y. Suzuki, Hideitsu Hino, Takafumi Hawai, Kotaro Saito, Masato Kotsugi, Kanta Ono
Software Mentions: 1
Published: almost 6 years ago
10.1038/s41598-020-78707-2
Collective dynamics of stock market efficiencyCited by: 20
Author(s): Luiz G. A. Alves, Higor Y. D. Sigaki, Matjaž Perc, Haroldo V. Ribeiro
Software Mentions: 1
Published: almost 6 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: over 7 years ago
10.1038/s41598-020-79906-7
Enhancer-derived long non-coding RNAs CCAT1 and CCAT2 at rs6983267 has limited predictability for early stage colorectal carcinoma metastasisCited by: 11
Author(s): Lai Fun Thean, Christopher Blöcker, Hui Hua Li, Michelle Lo, Marcus Wong, Choong Leong Tang, Emile Tan, Steven G. Rozen, Peh Yean Cheah
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-020-80758-4
Prediction of kinase inhibitors binding modes with machine learning and reduced descriptor setsCited by: 11
Author(s): Ibrahim Abdelbaky, Hilal Tayara, Kil To Chong
Software Mentions: 1
Published: over 5 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: almost 11 years ago
10.1038/s41598-020-80487-8
Dynamic blood flow phantom for in vivo liquid biopsy standardizationCited by: 3
Author(s): Anastasiia Kozlova, Daniil N. Bratashov, О. В. Гришин, Arkadii Abdurashitov, Ekaterina S. Prikhozhdenko, Roman A. Verkhovskii, Natalia A. Shushunova, E. V. Shashkov, Vladimir P. Zharov, Olga A. Inozemtseva
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-020-80474-z
Development of a machine learning model for predicting pediatric mortality in the early stages of intensive care unit admissionCited by: 6
Author(s): Bong Jin Lee, Kyunghoon Kim, Hye‐Jin Hwang, You Sun Kim, Eun Hee Chung, Jong Seo Yoon, Hwa Jin Cho, June Dong Park
Software Mentions: 1
Published: over 5 years ago