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
Penalties:
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PyPI ecosystem
General-purpose ecosystem
Very Likely Science (100)
Papers Mentioning scikit-learn 2,431
10.3390/s21082849
Evolutionary Algorithm for Improving Decision Tree with Global Discretization in ManufacturingCited by: 7
Author(s): Sungbum Jun
Software Mentions: 1
Published: over 5 years ago
10.3390/s21092979
Additive Ensemble Neural Network with Constrained Weighted Quantile Loss for Probabilistic Electric-Load ForecastingCited by: 12
Author(s): Manuel López-Martín, Antonio Sánchez-Esguevillas, Luís Hernández-Callejo, Juan Ignacio Arribas, Belén Carro
Software Mentions: 1
Published: over 5 years ago
10.3390/s21093012
A Survey of Spoofer Detection Techniques via Radio Frequency Fingerprinting with Focus on the GNSS Pre-Correlation Sampled DataCited by: 7
Author(s): Wenbo Wang, Inmaculada Sánchez, Gianluca Caparra, Andy McKeown, T. Whitworth, Elena Simona Lohan
Software Mentions: 1
Published: over 5 years ago
10.1186/s12859-019-2951-x
Polled Digital Cell Sorter (p-DCS): Automatic identification of hematological cell types from single cell RNA-sequencing clustersCited by: 21
Author(s): Sergii Domanskyi, Anthony Szedlak, Nathaniel T. Hawkins, Jiayin Wang, Giovanni Paternostro, Carlo Piermarocchi
Software Mentions: 1
Published: about 7 years ago
10.1186/s12938-019-0639-0
Comparing classification techniques for identification of grasped objectsCited by: 5
Author(s): Daniel Nogueira, Paulo Abreu, Maria Teresa Restivo
Software Mentions: 1
Published: over 7 years ago
10.1186/s12938-021-00869-5
Decomposition of high-frequency electrical conductivity into extracellular and intracellular compartments based on two-compartment model using low-to-high multi-b diffusion MRICited by: 3
Author(s): Mun Bae Lee, Hyung Joong Kim, Oh In Kwon
Software Mentions: 1
Published: over 5 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
10.3390/s21103338
Developing Relative Humidity and Temperature Corrections for Low-Cost Sensors Using Machine LearningCited by: 12
Author(s): Ivan Vajs, Dejan Drajić, Nenad Gligorić, Ilija Radovanović, Ivan Popović
Software Mentions: 1
Published: over 5 years ago
10.3390/biology9110365
Amino Acid k-mer Feature Extraction for Quantitative Antimicrobial Resistance (AMR) Prediction by Machine Learning and Model Interpretation for Biological InsightsCited by: 20
Author(s): Taha ValizadehAslani, Zhengqiao Zhao, Bahrad A. Sokhansanj, Gail Rosen
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
10.1186/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
10.1186/s13062-020-00278-z
A machine learning framework to determine geolocations from metagenomic profilingCited by: 11
Author(s): Lihong Huang, Canqiang Xu, Wenxian Yang, Rongshan Yu
Software Mentions: 1
Published: almost 6 years ago
10.2196/25442
An Artificial Intelligence Model to Predict the Mortality of COVID-19 Patients at Hospital Admission Time Using Routine Blood Samples: Development and Validation of an Ensemble ModelCited by: 57
Author(s): Hoon Ko, Ho Young Chung, Wu Seong Kang, Chul Park, Do Wan Kim, Seong Eun Kim, Chi Ryang Chung, Ryoung Eun Ko, Hooseok Lee, Jae Ho Seo, Tae–Young Choi, Rafael Jaimes, Kyung Won Kim, Jin-Seok Lee
Software Mentions: 1
Published: over 5 years ago
10.3390/s21124212
A Framework for Continuous Authentication Based on Touch Dynamics Biometrics for Mobile Banking ApplicationsCited by: 8
Author(s): Priscila Morais Argôlo Bonfim Estrela, Robson de Oliveira Albuquerque, Dino Macedo Amaral, William Ferreira Giozza, Rafael Timóteo de Sousa Júnior
Software Mentions: 1
Published: about 5 years ago
10.3390/s21124205
A Spatio-Temporal Ensemble Deep Learning Architecture for Real-Time Defect Detection during Laser Welding on Low Power Embedded Computing BoardsCited by: 25
Author(s): Christian Knaak, Jakob von Eßen, Moritz Kröger, Frederic Schulze, Peter Abels, Arnold Gillner
Software Mentions: 1
Published: about 5 years ago
10.2196/15876
Leveraging Eye Tracking to Prioritize Relevant Medical Record Data: Comparative Machine Learning StudyCited by: 16
Author(s): Andrew J King, Gregory F. Cooper, Gilles Clermont, Harry Hochheiser, Miloš Hauskrecht, Dean F. Sittig
Software Mentions: 1
Published: over 6 years ago
10.3390/s21134605
Received Signal Strength Fingerprinting-Based Indoor Location Estimation Employing Machine LearningCited by: 24
Author(s): Ladislav Polák, Stanislav Rozum, Martin Slanina, Tomáš Bravenec, Tomáš Fryza, Aggelos Pikrakis
Software Mentions: 1
Published: about 5 years ago
10.1093/bioinformatics/btw010
Computational discovery of pathway-level genetic vulnerabilities in non-small-cell lung cancerCited by: 12
Author(s): Jonathan H. Young, Michael Peyton, Hyosil Kim, Elizabeth A. McMillan, John D. Minna, Michael A. White, Edward M. Marcotte
Software Mentions: 1
Published: over 10 years ago
10.1093/bioinformatics/btv529
Improved large-scale prediction of growth inhibition patterns using the NCI60 cancer cell line panelCited by: 86
Author(s): Isidro Cortés-Ciriano, Gerard J. P. van Westen, Guillaume Bouvier, Michaël Nilges, John P. Overington, Andreas Bender, Thérèse E. Malliavin
Software Mentions: 1
Published: almost 11 years ago
10.3390/s21134328
Crop Classification Based on Red Edge Features Analysis of GF-6 WFV DataCited by: 21
Author(s): Yupeng Kang, Qingyan Meng, Miao Liu, Youfeng Zou, Xuemiao Wang
Software Mentions: 1
Published: about 5 years ago
10.1093/bioinformatics/btx806
DeepSynergy: predicting anti-cancer drug synergy with Deep LearningCited by: 293
Author(s): Kristina Preuer, Richard P. Lewis, Sepp Hochreiter, Andreas Bender, Krishna C. Bulusu, Günter Klambauer
Software Mentions: 1
Published: over 8 years ago
10.1093/bioinformatics/btaa1102
SoluProt: prediction of soluble protein expression in <i>Escherichia coli</i>Cited by: 50
Author(s): Jiří Hon, Martin Marusiak, Tomáš Martínek, Antonín Kunka, Jaroslav Zendulka, David Bednář, Jiřı́ Damborský
Software Mentions: 1
Published: over 5 years ago
10.3390/s21144716
Application of Machine Learning for Fenceline Monitoring of Odor Classes and Concentrations at a Wastewater Treatment PlantCited by: 12
Author(s): Federico Cangialosi, Edoardo Bruno, Gabriella De Santis
Software Mentions: 1
Published: about 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
10.3390/s21144929
Crack Detection in Images of Masonry Using CNNsCited by: 12
Author(s): Mitchell J. Hallee, Rebecca Napolitano, Wesley F. Reinhart, Branko Glišić
Software Mentions: 1
Published: about 5 years ago
10.1186/s13040-021-00262-x
A maximum flow-based network approach for identification of stable noncoding biomarkers associated with the multigenic neurological condition, autismCited by: 0
Author(s): Maya Varma, Kelley Paskov, Brianna Chrisman, Min Sun, Jae-Yoon Jung, Nate Stockham, Peter Washington, Dennis P. Wall
Software Mentions: 1
Published: over 5 years ago
10.1186/s12984-018-0446-z
Vision-based assessment of parkinsonism and levodopa-induced dyskinesia with pose estimationCited by: 68
Author(s): Michael H. Li, Tiago Mestre, Susan H. Fox, Babak Taati
Software Mentions: 1
Published: almost 8 years ago
10.3390/s21155234
Forecasting of Typhoon-Induced Wind-Wave by Using Convolutional Deep Learning on Fused Data of Remote Sensing and Ground MeasurementsCited by: 9
Author(s): Chih-Chiang Wei, Hao‐Chun Chang
Software Mentions: 1
Published: about 5 years ago
10.1007/s00404-020-05908-5
Optimisation and evaluation of the random forest model in the efficacy prediction of chemoradiotherapy for advanced cervical cancer based on radiomics signature from high-resolution T2 weighted imagesCited by: 12
Author(s): Defeng Liu, Xiaohang Zhang, Tao Zheng, Qinglei Shi, Yujie Cui, Yongji Wang, Lanxiang Liu
Software Mentions: 1
Published: over 5 years ago
10.3390/s21165595
Use of Hyperspectral Imaging for the Quantification of Organic Contaminants on Copper Surfaces for Electronic ApplicationsCited by: 2
Author(s): Tim Englert, Florian Gruber, Jan Stiedl, Simon Green, Timo Jacob, Karsten Rebner, Wulf Grählert
Software Mentions: 1
Published: about 5 years ago
10.3390/s21175868
Development of a Low-Cost Electronic Nose for Detection of Pathogenic Fungi and Applying It to Fusarium oxysporum and Rhizoctonia solaniCited by: 13
Author(s): Piotr Borowik, Ludwik Adamowicz, Rafał Tarakowski, Przemysław Wacławik, Tomasz Oszako, Sławomir Ślusarski, Miłosz Tkaczyk
Software Mentions: 1
Published: about 5 years ago
10.1186/s13040-021-00276-5
Development and validation of a novel blending machine learning model for hospital mortality prediction in ICU patients with SepsisCited by: 11
Author(s): Zhixuan Zeng, Shuo Yao, Jianfei Zheng, Xun Gong
Software Mentions: 1
Published: about 5 years ago
10.3390/s21175694
CAPformer: Pedestrian Crossing Action Prediction Using TransformerCited by: 11
Author(s): Javier Lorenzo, Ignacio Parra Alonso, Rubén Izquierdo, Augusto Luis Ballardini, Ana Jesús Hernández, David Fernández Llorca, Miguel Ángel Sotelo
Software Mentions: 1
Published: about 5 years ago
10.3390/s21175923
Object Positioning Algorithm Based on Multidimensional Scaling and Optimization for Synthetic Gesture Data GenerationCited by: 2
Author(s): Borja Saez-Mingorance, Antonio Escobar-Molero, Javier Mèndez, Encarnación Castillo, Diego P. Morales
Software Mentions: 1
Published: about 5 years ago
10.1186/s12918-018-0546-1
In silico drug combination discovery for personalized cancer therapyCited by: 42
Author(s): Minji Jeon, Sunkyu Kim, Sungjoon Park, Heewon Lee, Jaewoo Kang
Software Mentions: 1
Published: over 8 years ago
10.1186/s12919-018-0140-y
Methods for detecting methylation by SNP interaction in GAW20 simulationCited by: 2
Author(s): E. Warwick Daw, James E. Hicks, Petra Lenzini, Shiow J. Lin, Judy Wang, Christine A. Williams, Ping An, Michael A. Province, Aldi T. Kraja
Software Mentions: 1
Published: about 8 years ago
10.3390/s21186229
A Cost-Effective CNN-LSTM-Based Solution for Predicting Faulty Remote Water Meter Reading Devices in AMI SystemsCited by: 4
Author(s): Jaeseung Lee, Woojin Choi, Jibum Kim
Software Mentions: 1
Published: almost 5 years ago
10.1007/s00415-020-09931-z
Modern machine-learning can support diagnostic differentiation of central and peripheral acute vestibular disordersCited by: 25
Author(s): Seyed-Ahmad Ahmadi, Gerome Vivar, Nassir Navab, Ken Möhwald, Andreas Maier, Hristo Hadzhikolev, Thomas Brandt, Eva Grill, Marianne Dieterich, Klaus Jahn, Andreas Zwergal
Software Mentions: 1
Published: about 6 years ago
10.1186/s12883-018-1198-x
The Norwegian Cognitive impairment after stroke study (Nor-COAST): study protocol of a multicentre, prospective cohort studyCited by: 33
Author(s): Pernille Thingstad, Torunn Askim, Mona K. Beyer, Geir Bråthen, Hanne Ellekjær, Hege Ihle‐Hansen, Anne Brita Knapskog, Stian Lydersen, Ragnhild Munthe-Kaas, Halvor Næss, Sarah T. Pendlebury, Yngve Müller Seljeseth, Ingvild Saltvedt
Software Mentions: 1
Published: almost 8 years ago
10.1186/s12882-020-01980-w
Changing relative risk of clinical factors for hospital-acquired acute kidney injury across age groups: a retrospective cohort studyCited by: 5
Author(s): Lijuan Wu, Yong Hu, Xiangzhou Zhang, Weiqi Chen, Alan Yu, John A. Kellum, Lemuel R. Waitman, Мэй Лю
Software Mentions: 1
Published: about 6 years ago
10.1016/j.str.2018.01.016
Disease Variants of FGFR3 Reveal Molecular Basis for the Recognition and Additional Roles for Cdc37 in Hsp90 Chaperone SystemCited by: 13
Author(s): Tom D. Bunney, Alison J. Inglis, Domenico Sanfelice, Brendan Farrell, Christopher J. Kerr, Gary S. Thompson, Glenn R. Masson, N. Thiyagarajan, Dmitri I. Svergun, Roger L. Williams, Alexander L. Breeze, Matilda Katan
Software Mentions: 1
Published: over 8 years ago
10.1186/s12874-021-01242-9
Waist circumference prediction for epidemiological research using gradient boosted treesCited by: 4
Author(s): Weihong Zhou, Spencer Maxwell Eckler, Andrew Barszczyk, Alex Waese-Perlman, Yingjie Wang, Xiaoping Gu, Feng Zhang, Yongjun Peng, Kang Lee
Software Mentions: 1
Published: over 5 years ago
10.1186/s13643-021-01640-6
Iterative guided machine learning-assisted systematic literature reviews: a diabetes case studyCited by: 7
Author(s): John Zimmerman, Robin Soler, James Lavinder, Murphy Sarah, Charisma Y. Atkins, LaShonda R. Hulbert, Richard Lusk, Boon Peng Ng
Software Mentions: 1
Published: over 5 years ago
10.1186/s12911-015-0206-y
Prediction of delayed graft function after kidney transplantation: comparison between logistic regression and machine learning methodsCited by: 50
Author(s): Alexander Decruyenaere, Philippe Decruyenaere, Patrick Peeters, Frank Vermassen, Tom Dhaene, Ivo Couckuyt
Software Mentions: 1
Published: almost 11 years ago
10.22037/aaem.v9i1.1059
Early Detection of Rhabdomyolysis-Induced Acute Kidney Injury through Machine Learning Approaches.Cited by: 3
Author(s): Pooria Poorsarvi Tehrani, Hamed Malek
Software Mentions: 1
Published: over 5 years ago
10.1186/s12911-020-01215-w
Identification of risk factors for patients with diabetes: diabetic polyneuropathy case studyCited by: 11
Author(s): Oleg G. Metsker, Kirill Magoev, Alexey N. Yakovlev, S. N. Yanishevskiy, Georgy Kopanitsa, Sergey V. Kovalchuk, Valeria V. Krzhizhanovskaya
Software Mentions: 1
Published: about 6 years ago
10.1007/s41109-018-0081-4
Referral paths in the U.S. physician networkCited by: 8
Author(s): Chuankai An, A. James O’Malley, Daniel N. Rockmore
Software Mentions: 1
Published: about 8 years ago
10.1186/s12911-021-01514-w
Bayesian network models with decision tree analysis for management of childhood malaria in MalawiCited by: 4
Author(s): Sanya Bathla Taneja, Gerald P. Douglas, Gregory F. Cooper, Marian G. Michaels, Marek J. Drużdżel, Shyam Visweswaran
Software Mentions: 1
Published: over 5 years ago
10.3390/toxins11060346
Recombinant Antibodies against MycolactoneCited by: 8
Author(s): L. Naranjo, Fortunato Ferrara, Nicolas Blanchard, Caroline Demangel, Sara D’Angelo, Andre A. Teixera, Andrew Bradbury
Software Mentions: 1
Published: about 7 years ago
10.1186/s12911-021-01506-w
Machine learning predicts mortality based on analysis of ventilation parameters of critically ill patients: multi-centre validationCited by: 8
Author(s): Behrooz Mamandipoor, Fernando Frutos‐Vivar, Óscar Peñuelas, Richard Rezar, Konstantinos Raymondos, Alfonso Muriel, Bin Du, Arnaud W. Thille, Fernando Ríos, Marco González, Lorenzo del-Sorbo, María del Carmen Marín, Bruno Valle Pinheiro, Marco Antonio Soares, Nicolás Nín, Salvatore Maurizio Maggiore, Andrew D. Bersten, Malte Kelm, Raphael Romano Bruno, Pravin Amin, Nahit Çakar, Gee Young Suh, Fékri Abroug, Manuel Jibaja, Dimitros Matamis, Amine Ali Zeggwagh, Yuda Sutherasan, Antonio Anzueto, Bernhard Wernly, Andrés Esteban, Christian Jung, Venet Osmani
Software Mentions: 1
Published: over 5 years ago
10.1038/s41398-018-0098-6
Brain-specific functional relationship networks inform autism spectrum disorder gene predictionCited by: 45
Author(s): Marlena Duda, Hongjiu Zhang, Hongdong Li, Dennis P. Wall, Margit Burmeister, Yuanfang Guan
Software Mentions: 1
Published: over 8 years ago
10.1186/s12911-018-0676-9
Leveraging auxiliary measures: a deep multi-task neural network for predictive modeling in clinical researchCited by: 7
Author(s): Xiangrui Li, Dongxiao Zhu, Phillip D. Levy
Software Mentions: 1
Published: almost 8 years ago
10.1038/s41398-020-0684-2
Development of an early-warning system for high-risk patients for suicide attempt using deep learning and electronic health recordsCited by: 48
Author(s): Le Zheng, Oliver Wang, Shiying Hao, Chengyin Ye, Modi Liu, Minjie Xia, Alex N. Sabo, Liliana Markovic, Frank Stearns, Laura Kanov, Karl G. Sylvester, Eric Widen, Doff B. McElhinney, Wei Zhang, Jiayu Liao, Xuefeng B. Ling
Software Mentions: 1
Published: over 6 years ago
10.1038/s41398-020-00867-6
Daily estimates of clinical severity of symptoms in bipolar disorder from smartphone-based self-assessmentsCited by: 10
Author(s): Jonas Busk, Maria Faurholt‐Jepsen, Mads Frost, Jakob E. Bardram, Lars Vedel Kessing, Ole Winther
Software Mentions: 1
Published: about 6 years ago
10.1155/2021/5518717
Handcrafted and Deep Learning-Based Radiomic Models Can Distinguish GBM from Brain MetastasisCited by: 16
Author(s): Zhiyuan Liu, Zekun Jiang, Meng Li, Jun Yang, Ying Liu, Yingying Zhang, Haiqin Peng, Jiahui Li, Gang Xiao, Zijian Zhang, Rongrong Zhou
Software Mentions: 1
Published: over 5 years ago
10.1007/s41109-017-0055-y
Predicting stock market movements using network science: an information theoretic approachCited by: 17
Author(s): Minjun Kim, Hiroki Sayama
Software Mentions: 1
Published: almost 9 years ago
10.1186/s12911-020-01297-6
Combining structured and unstructured data for predictive models: a deep learning approachCited by: 80
Author(s): Dongdong Zhang, Changchang Yin, Jucheng Zeng, Xiaohui Yuan, Ping Zhang
Software Mentions: 1
Published: almost 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
10.1038/s41398-020-01045-4
Defining data-driven subgroups of obsessive–compulsive disorder with different treatment responses based on resting-state functional connectivityCited by: 14
Author(s): Seo‐Young Kwak, Minah Kim, Taekwan Kim, Yoobin Kwak, Sae-Sook Oh, Silvia Kyungjin Lho, Sun Young Moon, Tae Young Lee, Jun Soo Kwon
Software Mentions: 1
Published: almost 6 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
10.3390/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
10.3390/e21121181
Nonlinear Information BottleneckCited by: 71
Author(s): Artemy Kolchinsky, Brendan D. Tracey, David H. Wolpert
Software Mentions: 1
Published: almost 7 years ago
10.1007/s10661-020-08403-1
Prioritizing river basins for intensive monitoring and assessment by the US Geological SurveyCited by: 3
Author(s): Peter C. Van Metre, Sharon L. Qi, Jeffrey R. Deacon, Cheryl A. Dieter, Jessica M. Driscoll, Michael N. Fienen, Terry A. Kenney, Patrick M. Lambert, David Lesmes, Christopher A. Mason, Anke Mueller–Solger, MaryLynn Musgrove, Jaime A. Painter, Donald O. Rosenberry, Lori A. Sprague, Anthony J. Tesoriero, Lisamarie Windham‐Myers, David M. Wolock
Software Mentions: 1
Published: about 6 years ago
10.3390/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
10.1186/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
10.1007/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
10.3390/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/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
10.1007/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
10.1155/2018/1875431
Deep Neural Network-Based Method for Detecting Central Retinal Vein Occlusion Using Ultrawide-Field Fundus OphthalmoscopyCited by: 46
Author(s): Daisuke Nagasato, Hitoshi Tabuchi, Hideharu Ohsugi, Hiroki Masumoto, Hiroki Enno, Naofumi Ishitobi, Tomoaki Sonobe, Masahiro Kameoka, Masanori Niki, Ken Hayashi, Yoshinori Mitamura
Software Mentions: 1
Published: almost 8 years ago
10.1155/2019/7820971
Severity Classification of Conjunctival Hyperaemia by Deep Neural Network EnsemblesCited by: 10
Author(s): Hiroki Masumoto, Hitoshi Tabuchi, Tsuyoshi Yoneda, Shunsuke Nakakura, Hideharu Ohsugi, Tamaki Sumi, Atsuki Fukushima
Software Mentions: 1
Published: over 7 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
10.1186/s12911-020-01380-y
Isotypes of autoantibodies against novel differential 4-hydroxy-2-nonenal-modified peptide adducts in serum is associated with rheumatoid arthritis in Taiwanese womenCited by: 7
Author(s): Kai-Leun Tsai, Che-Chang Chang, Yu‐Sheng Chang, Yiying Lu, I-Jung Tsai, Jinhua Chen, Sheng-Hong Lin, Chih-Chun Tai, Yi-Fang Lin, Hui‐Wen Chang, Chun–Ming Lin, Emily Chia-Yu Su
Software Mentions: 1
Published: over 5 years ago
10.3390/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
10.1186/s13195-021-00826-3
Artificial intelligence-based computational framework for drug-target prioritization and inference of novel repositionable drugs for Alzheimer’s diseaseCited by: 23
Author(s): Shingo Tsuji, Takeshi Hase, Ayako Yachie‐Kinoshita, Taiko Nishino, Samik Ghosh, Masataka Kikuchi, Kuniyasu Shimokawa, Hiroyuki Aburatani, Hiroaki Kitano, Hiroshi Tanaka
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/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
10.12688/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/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/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
10.3390/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/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
10.1093/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/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
10.1128/mBio.00915-18
Candida albicans-Induced Epithelial Damage Mediates Translocation through Intestinal BarriersCited by: 118
Author(s): Stefanie Allert, Toni M. Förster, Carl-Magnus Svensson, Jonathan P. Richardson, Tony Pawlik, Betty Hebecker, Sven Rudolphi, Marc Juraschitz, Martin Schaller, Mariana Blagojevic, Joachim Morschhäuser, Marc Thilo Figge, Ilse D. Jacobsen, Julian R. Naglik, Lydia Kasper, Selene Mogavero, Bernhard Hube
Software Mentions: 1
Published: about 8 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
10.1093/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/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