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: about 3 years ago
5,918 dependent packages
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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
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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
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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
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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
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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
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PyPI ecosystem
General-purpose ecosystem
Very Likely Science (100)
Papers Mentioning scikit-learn 2,431
10.1038/srep17670
A Probabilistic Model for Estimating the Depth and Threshold Temperature of C-fiber NociceptorsCited by: 7
Author(s): Tara Dezhdar, Rabih Moshourab, Ingo Fründ, Gary R. Lewin, Michael Schmuker
Software Mentions: 1
Published: almost 11 years ago
10.1038/srep21161
Using a Machine Learning Approach to Predict Outcomes after Radiosurgery for Cerebral Arteriovenous MalformationsCited by: 81
Author(s): Eric K. Oermann, Alex Rubinsteyn, Dale Ding, Justin Mascitelli, Robert M. Starke, Joshua B. Bederson, Hideyuki Kano, L. Dade Lunsford, Jason P. Sheehan, Jeff Hammerbacher, Douglas Kondziolka
Software Mentions: 1
Published: almost 11 years ago
10.1038/srep23909
Granuphilin exclusively mediates functional granule docking to the plasma membraneCited by: 21
Author(s): Kouichi Mizuno, Takuji Fujita, Hiroshi Gomi, Tetsuro Izumi
Software Mentions: 1
Published: over 10 years ago
10.1038/srep33883
An Automated Microwell Platform for Large-Scale Single Cell RNA-SeqCited by: 100
Author(s): Jinzhou Yuan, Peter A. Sims
Software Mentions: 1
Published: about 10 years ago
10.1186/s12864-021-07379-7
Authoritative subspecies diagnosis tool for European honey bees based on ancestry informative SNPsCited by: 30
Author(s): Jamal Momeni, Melanie Parejo, Rasmus Oestergaard Nielsen, Jorge Langa, Iratxe Montes, Laetitia Papoutsis, Leila Farajzadeh, Christian Berthou, Eliza Căuia, Jean-Daniel Charrière, Mary F. Coffey, Cecília Costa, Raffaele Dall’Olio, Pilar De la Rúa, Marica Maja Dražić, Janja Filipi, Thomas Galea, Miroljub Golubovski, Aleš Gregorc, Karina Grigoryan, Fani Hatjina, R. S. Il’yasov, Evgeniya Ivanova, Irakli Janashia, İrfan Kandemi̇r, Aikaterini Karatasou, Meral Kekeçoğlu, Nikola Kezic, Enikö Sz Matray, David Mifsud, Rudolf Moosbeckhofer, А. Г. Николенко, Alexandros Papachristoforou, Plamen Petrov, M. Alice Pinto, A. V. Poskryakov, Aglyam Y. Sharipov, Adrian Siceanu, M. İ. Soysal, Aleksandar Uzunov, Marion Zammit-Mangion, R. K. K. Vingborg, Maria Bouga, Per Kryger, Marina D. Meixner, Andone Estonba
Software Mentions: 1
Published: almost 6 years ago
10.1038/srep43704
Functional MRI in Awake Dogs Predicts Suitability for Assistance WorkCited by: 32
Author(s): Gregory S. Berns, Andrew M. Brooks, Mark Spivak, Kerinne Levy
Software Mentions: 1
Published: over 9 years ago
10.1038/srep46321
Complete fold annotation of the human proteome using a novel structural feature spaceCited by: 5
Author(s): Sarah A. Middleton, Joseph Illuminati, Junhyong Kim
Software Mentions: 1
Published: over 9 years ago
10.1038/s41598-017-02307-w
Prediction of cognitive and motor outcome of preterm infants based on automatic quantitative descriptors from neonatal MR brain imagesCited by: 22
Author(s): Pim Moeskops, Ivana Išgum, Kristin Keunen, Nathalie H.P. Claessens, Ingrid C. van Haastert, Floris Groenendaal, Linda S. de Vries, Max A. Viergever
Software Mentions: 1
Published: over 9 years ago
10.1038/s41598-017-04847-7
Identifying Human SIRT1 Substrates by Integrating Heterogeneous Information from Various SourcesCited by: 15
Author(s): Zichao Zhai, Ming Tang, Yue Yang, Ming Lu, Wei‐Guo Zhu, Tingting Li
Software Mentions: 1
Published: over 9 years ago
10.1038/s41598-017-05557-w
Multiple Ligand-Bound States of a Phosphohexomutase Revealed by Principal Component Analysis of NMR Peak ShiftsCited by: 8
Author(s): Jia Xu, Akella V. S. Sarma, Yirui Wei, Lesa J. Beamer, Steven R. Van Doren
Software Mentions: 1
Published: over 9 years ago
10.1038/s41598-017-06692-0
ADME-Space: a new tool for medicinal chemists to explore ADME propertiesCited by: 55
Author(s): Giovanni Bocci, Emanuele Carosati, Philippe Vayer, Alban Arrault, Sylvain Lozano, Gabriele Cruciani
Software Mentions: 1
Published: over 9 years ago
10.1038/s41598-017-08660-0
Rapid phenotypic individualization of bacterial sister cellsCited by: 18
Author(s): Sander K. Govers, Antoine Adam, Hendrik Blockeel, Abram Aertsen
Software Mentions: 1
Published: about 9 years ago
10.3390/ijerph18168710
Machine Learning Models for Sarcopenia Identification Based on Radiomic Features of Muscles in Computed TomographyCited by: 11
Author(s): Young Jae Kim
Software Mentions: 1
Published: about 5 years ago
10.1038/s41598-017-15622-z
Hydrogen adsorption on doped MoS2 nanostructuresCited by: 57
Author(s): Mikko Hakala, Rasmus Kronberg, Kari Laasonen
Software Mentions: 1
Published: almost 9 years ago
10.1186/s12864-020-06923-1
Optimizing the genetic prediction of the eye and hair color for North Eurasian populationsCited by: 9
Author(s): Elena Balanovska, Elena Lukianova, Janet Kagazezheva, Andrey Maurer, N. A. Leybova, A. T. Agdzhoyan, И. О. Горин, В. С. Петрушенко, Maxat Zhabagin, Vladimir Yu. Pylev, Elena S. Kostryukova, Oleg Balanovsky
Software Mentions: 1
Published: about 6 years ago
10.3390/ijerph181910391
Estimation of Health-Related Physical Fitness (HRPF) Levels of the General Public Using Artificial Neural Network with the National Fitness Award (NFA) DatasetsCited by: 3
Author(s): Seung-Hun Lee, Hyeon-Seong Ju, Sang-Hun Lee, Sung-Woo Kim, Hun‐Young Park, Seung‐Wan Kang, Young-Eun Song, Kiwon Lim, Hoeryong Jung
Software Mentions: 1
Published: about 5 years ago
10.1038/s41598-017-16674-x
Knowledge graph prediction of unknown adverse drug reactions and validation in electronic health recordsCited by: 66
Author(s): Daniel Bean, Honghan Wu, Ehtesham Iqbal, Olubanke Dzahini, Zina Ibrahim, Matthew Broadbent, Robert Stewart, Richard Dobson
Software Mentions: 1
Published: almost 9 years ago
10.1038/s41598-017-17299-w
A Universal 3D Voxel Descriptor for Solid-State Material Informatics with Deep Convolutional Neural NetworksCited by: 45
Author(s): Seiji Kajita, Nobuko Ohba, Ryosuke Jinnouchi, Ryoji Asahi
Software Mentions: 1
Published: almost 9 years ago
10.1038/s41598-017-17451-6
Automated tracking to measure behavioural changes in pigs for health and welfare monitoringCited by: 94
Author(s): Stephen G. Matthews, Amy Miller, Thomas Plötz, Ι. Kyriazakis
Software Mentions: 1
Published: almost 9 years ago
10.1038/s41598-017-18993-5
Landmark detection in 2D bioimages for geometric morphometrics: a multi-resolution tree-based approachCited by: 31
Author(s): Rémy Vandaele, Jessica Aceto, Marc Müller, Frédérique Péronnet, Vincent Debat, Ching-Wei Wang, Chih Cheng Huang, Sébastien Jodogne, Philippe Martinive, Pierre Geurts, Raphaël Marée
Software Mentions: 1
Published: almost 9 years ago
10.1038/s41598-017-18972-w
Developing an in silico minimum inhibitory concentration panel test for Klebsiella pneumoniaeCited by: 117
Author(s): M. Nguyen, Thomas Brettin, S. Wesley Long, James M. Musser, Randall J. Olsen, Robert Olson, Maulik Shukla, Rick Stevens, Fangfang Xia, Hyunseung Yoo, James J. Davis
Software Mentions: 1
Published: almost 9 years ago
10.1038/s41598-018-21011-x
Low-Loss Photonic Reservoir Computing with Multimode Photonic Integrated CircuitsCited by: 37
Author(s): Andrew Katumba, Jelle Heyvaert, Bendix Schneider, Sarah Uvin, Joni Dambre, Peter Bienstman
Software Mentions: 1
Published: almost 9 years ago
10.1038/s41598-018-21544-1
Machine learning for the meta-analyses of microbial pathogens’ volatile signaturesCited by: 35
Author(s): Susana Palma, Ana P. Traguedo, Ana R. Porteira, María Joáo Frias, Hugo Gamboa, Ana C. A. Roque
Software Mentions: 1
Published: over 8 years ago
10.1038/s41598-018-21640-2
FISSA: A neuropil decontamination toolbox for calcium imaging signalsCited by: 55
Author(s): Sander W. Keemink, Scott Lowe, Janelle M.P. Pakan, Evelyn Dylda, Mark C. W. van Rossum, Nathalie L. Rochefort
Software Mentions: 1
Published: over 8 years ago
10.1038/s41598-018-21541-4
Creating a 3D microbial and chemical snapshot of a human habitatCited by: 30
Author(s): Clifford A. Kapono, James T. Morton, Amina Bouslimani, Alexey V. Melnik, Kayla Orlinsky, Tal Luzzatto Knaan, Neha Garg, Yoshiki Vázquez-Baeza, Ivan Protsyuk, Stefan Janssen, Quanyin Zhu, Theodore Alexandrov, Larry Smarr, Rob Knight, Pieter C. Dorrestein
Software Mentions: 1
Published: over 8 years ago
10.1038/s41598-018-22240-w
Prediction and characterization of human ageing-related proteins by using machine learningCited by: 40
Author(s): Csaba Kerepesi, Bálint Daróczy, Ádám Sturm, Tibor Vellai, András A. Benczúr
Software Mentions: 1
Published: over 8 years ago
10.1186/s12862-015-0283-7
Automatic selection of partitioning schemes for phylogenetic analyses using iterative k-means clustering of site ratesCited by: 93
Author(s): Paul B. Frandsen, Brett Calcott, Christoph Mayer, Robert Lanfear
Software Mentions: 1
Published: over 11 years ago
10.1186/s12873-021-00447-x
Predicting venous thromboembolism in hospitalized trauma patients: a combination of the Caprini score and data-driven machine learning modelCited by: 11
Author(s): Lingxiao He, Lei Luo, Xiaoling Hou, Dengbin Liao, Ran Liu, Chaowei Ouyang, Guanglin Wang
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-018-25523-4
Statistical learning of mobility patterns from long-term monitoring of locomotor behaviour with body-worn sensorsCited by: 3
Author(s): Sayantan Ghosh, Tim Fleiner, Eleftheria Giannouli, Uwe Jaekel, Sabato Mellone, Peter Häussermann, Wiebren Zijlstra
Software Mentions: 1
Published: over 8 years ago
10.1186/s12872-021-02225-w
Prediction of cardiovascular risk in patients with chronic obstructive pulmonary disease: a study of the National Health and Nutrition Examination Survey databaseCited by: 7
Author(s): Yun Shi, Jing Zhang, Ying-Shuo Huang
Software Mentions: 1
Published: about 5 years ago
10.1038/s41598-018-28665-7
Metabolic Phenotyping and Strain Characterisation of Pseudomonas aeruginosa Isolates from Cystic Fibrosis Patients Using Rapid Evaporative Ionisation Mass SpectrometryCited by: 21
Author(s): Emmanuelle Bardin, Simon Cameron, Alvaro Perdones‐Montero, Kate Hardiman, Frances Bolt, Ewfw Alton, Andrew Bush, Jane C. Davies, Zoltán Takáts
Software Mentions: 1
Published: over 8 years ago
10.1186/s12885-019-5646-9
Prediction of pathologic stage in non-small cell lung cancer using machine learning algorithm based on CT image feature analysisCited by: 49
Author(s): Lei Yu, Guangyu Tao, Lei Zhu, Gang Wang, Ziming Li, Jianding Ye, Qunhui Chen
Software Mentions: 1
Published: over 7 years ago
10.1038/s41598-018-30221-2
No evidence for confounding orientation-dependent fixational eye movements under baseline conditionsCited by: 5
Author(s): Jordy Thielen, Rob van Lier, Marcel van Gerven
Software Mentions: 1
Published: over 8 years ago
10.1186/s12915-020-00807-2
New targeted approaches for epigenetic age predictionsCited by: 46
Author(s): Yang Han, Julia Franzen, Thomas Stiehl, Michael Gobs, Chao-Chung Kuo, Miloš Nikolić, Jan Hapala, Barbara Koop, Klaus Strathmann, Stefanie Ritz‐Timme, Wolfgang Wagner
Software Mentions: 1
Published: over 6 years ago
10.1038/s41598-018-31861-0
Visualisation and analysis of hepatitis C virus non-structural proteins using super-resolution microscopyCited by: 5
Author(s): C. J. Bartlett, Alistair Curd, Michelle Peckham, Mark Harris
Software Mentions: 1
Published: about 8 years ago
10.3390/ijerph181910329
Assessing Communicative Effectiveness of Public Health Information in Chinese: Developing Automatic Decision Aids for International Health ProfessionalsCited by: 0
Author(s): Meng Ji, Adams Bodomo, Wenxiu Xie, Riliu Huang
Software Mentions: 1
Published: about 5 years ago
10.1038/s41598-018-31920-6
A machine learning approach to estimating preterm infants survival: development of the Preterm Infants Survival Assessment (PISA) predictorCited by: 43
Author(s): Marco Podda, Davide Bacciu, Alessio Micheli, Roberto Bellù, Giulia Placidi, Luigi Gagliardi
Software Mentions: 1
Published: about 8 years ago
10.1186/s12915-020-00938-6
Prokaryotic virus host predictor: a Gaussian model for host prediction of prokaryotic viruses in metagenomicsCited by: 40
Author(s): Congyu Lu, Zheng Zhang, Zena Cai, Zhaozhong Zhu, Ye Qiu, Aiping Wu, Taijiao Jiang, Heping Zheng, Yousong Peng
Software Mentions: 1
Published: almost 6 years ago
10.1038/s41598-018-32834-z
Pattern to Knowledge: Deep Knowledge-Directed Machine Learning for Residue-Residue Interaction PredictionCited by: 6
Author(s): Andrew K. C. Wong, Antonio Sze-To, Gary L. Johanning
Software Mentions: 1
Published: about 8 years ago
10.1038/s41598-018-34164-6
MRI Compatibility: Automatic Brain Shunt Valve Recognition using Feature Engineering and Deep Convolutional Neural NetworksCited by: 8
Author(s): Luca Giancardo, Octavio Arevalo, Andrea Tenreiro, Roy Riascos, Eliana Bonfante
Software Mentions: 1
Published: about 8 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: almost 6 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: almost 6 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
10.1038/s41598-018-36245-y
Co-existence of multiple bacterivorous clevelandellid ciliate species in hindgut of wood-feeding cockroaches in light of their prokaryotic consortiumCited by: 14
Author(s): Peter Vďačný, Emese Érseková, Katarína Šoltýs, Jaroslav Budiš, Lukáš Pecina, Ivan Rurik
Software Mentions: 1
Published: almost 8 years ago
10.1038/s41598-018-37241-y
Label-free classification of neurons and glia in neural stem cell cultures using a hyperspectral imaging microscopy combined with machine learningCited by: 4
Author(s): Hiroshi Ogi, Sanzo Moriwaki, Masahiko Kokubo, Yuichiro Hikida, Kyoko Itoh
Software Mentions: 1
Published: almost 8 years ago
10.1038/s41598-018-37794-y
A data-informatics method to quantitatively represent ternary eutectic microstructuresCited by: 5
Author(s): Irmak Sargin, Scott P. Beckman
Software Mentions: 1
Published: almost 8 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
10.1038/s41598-019-38498-7
Predicting protein-peptide interaction sites using distant protein complexes as structural templatesCited by: 35
Author(s): Isak Johansson-Åkhe, Claudio Mirabello, Björn Wallner
Software Mentions: 1
Published: over 7 years ago
10.1038/s41598-019-41150-z
A substitute variety for agronomically and medicinally important Serenoa repens (saw palmetto)Cited by: 4
Author(s): Yogini Jaiswal, Daniel L. Weber, Aaron Yerke, Ye Xue, Danielle Lehman, Taufika Islam Williams, Tiqiao Xiao, Daniel Haddad, Leonard Williams
Software Mentions: 1
Published: over 7 years ago
10.3390/ijerph181910465
Predicting Fitness Centre DropoutCited by: 2
Author(s): Pedro Sobreiro, Pedro Guedes-Carvalho, Abel Santos, Paulo Pinheiro, Celina Gonçalves
Software Mentions: 1
Published: about 5 years ago
10.1038/s41598-019-41500-x
Automatic diagnosis of neurological diseases using MEG signals with a deep neural networkCited by: 26
Author(s): Jun-ichi Aoe, Ryohei Fukuma, Takufumi Yanagisawa, Tatsuya Harada, Miyuu Tanaka, Maki Kobayashi, You Inoue, Shota Yamamoto, Yozo Ohnishi, Haruhiko Kishima
Software Mentions: 1
Published: over 7 years ago
10.1038/s41598-019-42125-w
Supervised machine learning of ultracold atoms with speckle disorderCited by: 21
Author(s): Sebastiano Pilati, P. Pieri
Software Mentions: 1
Published: over 7 years ago
10.1038/s41598-019-42384-7
Exploiting the interplay between cross-sectional and longitudinal data in Class III malocclusion patientsCited by: 4
Author(s): Enrico Barelli, Ennio Ottaviani, Pietro Auconi, Guido Caldarelli, Veronica Giuntini, James A. McNamara, Lorenzo Franchi
Software Mentions: 1
Published: over 7 years ago
10.2196/11201
Applying Multivariate Segmentation Methods to Human Activity Recognition From Wearable Sensors’ DataCited by: 24
Author(s): Kenan Li, Rima Habre, Huiyu Deng, Robert Urman, John L. Morrison, Frank D. Gilliland, José Luis Ambite, Dimitris Stripelis, Yao‐Yi Chiang, Yijun Lin, Alex A. T. Bui, Christine King, Anahita Hosseini, Eleanne van Vliet, Majid Sarrafzadeh, Sandrah P. Eckel
Software Mentions: 1
Published: almost 8 years ago
10.1038/s41598-019-43525-8
Automatic discovery of image-based signatures for ipilimumab response prediction in malignant melanomaCited by: 36
Author(s): Nathalie Harder, Ralf Schönmeyer, Katharina Nekolla, Armin Meier, Nicolas Brieu, Carolina Vanegas, Gabriele Madonna, Mariaelena Capone, Gerardo Botti, Paolo A. Ascierto, Günter Schmidt
Software Mentions: 1
Published: over 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: about 11 years ago
10.1038/s41598-019-44375-0
Randomly weighted receptor inputs can explain the large diversity of colour-coding neurons in the bee visual systemCited by: 7
Author(s): Vera Vasas, Fei Peng, HaDi MaBouDi, Lars Chittka
Software Mentions: 1
Published: over 7 years ago
10.2196/14172
A Tablet-Based App for Carpal Tunnel Syndrome Screening: Diagnostic Case-Control StudyCited by: 18
Author(s): Koji Fujita, Takuro Watanabe, Tomoyuki Kuroiwa, Tōru Sasaki, Akimoto Nimura, Yuta Sugiura
Software Mentions: 1
Published: about 7 years ago
10.1038/s41598-019-45119-w
Identifying pre-disease signals before metabolic syndrome in mice by dynamical network biomarkersCited by: 29
Author(s): Keiichi Koizumi, Makito Oku, Satoru Hayashi, Akiko Inujima, Naotoshi Shibahara, Luonan Chen, Yoshiko Igarashi, Kazuyuki Tobe, Shigeru Saito, Makoto Kadowaki, Kazuyuki Aihara
Software Mentions: 1
Published: over 7 years ago
10.1038/s41598-019-46562-5
Tradeoffs and Compatibilities of Chemical Properties in CpHqFrOs SystemCited by: 1
Author(s): Yasuharu Okamoto
Software Mentions: 1
Published: over 7 years ago
10.2196/19962
Predicting Early Warning Signs of Psychotic Relapse From Passive Sensing Data: An Approach Using Encoder-Decoder Neural NetworksCited by: 47
Author(s): Daniel A Adler, Dror Ben‐Zeev, Vincent W.-S. Tseng, John M. Kane, Rachel Brian, Andrew T. Campbell, Marta Hauser, Emily A. Scherer, Tanzeem Choudhury
Software Mentions: 1
Published: about 6 years ago
10.1038/s41598-019-47747-8
Hydrodynamic object identification with artificial neural modelsCited by: 9
Author(s): Sreetej Lakkam, B T Balamurali, Roland Bouffanais
Software Mentions: 1
Published: over 7 years ago
10.1038/s41598-019-48093-5
Worldwide human mitochondrial haplogroup distribution from urban sewageCited by: 11
Author(s): Orsolya Pipek, Anna Medgyes-Horváth, László Dobos, József Stéger, János M. Szalai-Gindl, Dávid Visontai, Rolf Sommer Kaas, Marion Koopmans, René S. Hendriksen, Frank Møller Aarestrup, István Csabai
Software Mentions: 1
Published: about 7 years ago
10.12688/wellcomeopenres.14914.1
Exploring the context of diacidic motif DE as a signal for unconventional protein secretion in eukaryotic proteinsCited by: 5
Author(s): Sreedevi Padmanabhan, Malay Ranjan Biswal, Ravi Manjithaya, Meher K. Prakash
Software Mentions: 1
Published: almost 8 years ago
10.1038/s41598-019-48263-5
Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learningCited by: 104
Author(s): Masaki Miyamoto, Ryo Yoshimoto, Masaki Ono, Toshinari Itoko, Takayuki Katsuki, Akira Koseki, Mineichi Kudo, Kyoichi Haida, Jun Kuroda, Ryosuke Yanagiya, Eiichi Saitoh, Kiyotaka Hoshinaga, Yukio Yuzawa, Atsushi Suzuki
Software Mentions: 1
Published: about 7 years ago
10.1038/s41598-019-50391-x
Data Driven Investigation of Bispectral Index AlgorithmCited by: 18
Author(s): Hyung Chul Lee, Ho Geol Ryu, Yoonsang Park, Soo Bin Yoon, Seung Min Yang, Hung Kun Oh, Chul-Woo Jung
Software Mentions: 1
Published: about 7 years ago
10.1038/s41598-019-50144-w
Predictions of the mechanical properties of unidirectional fibre composites by supervised machine learningCited by: 79
Author(s): M.V. Pathan, Sathiskumar A. Ponnusami, J. Pathan, R. Pitisongsawat, Borja Erice, Nik Petrinić, V.L. Tagarielli
Software Mentions: 1
Published: about 7 years ago
10.1038/s41598-019-51338-y
A Super-Learner Model for Tumor Motion Prediction and Management in Radiation Therapy: Development and Feasibility EvaluationCited by: 22
Author(s): Hui-Ling Lin, W. Zou, Taoran Li, Steven J. Feigenberg, Boon-Keng Teo, Lei Dong
Software Mentions: 1
Published: about 7 years ago
10.1038/s41598-019-51779-5
Machine Friendly Machine Learning: Interpretation of Computed Tomography Without Image ReconstructionCited by: 26
Author(s): Hyunkwang Lee, Chao Huang, Sehyo Yune, Shahein Tajmir, Myeongchan Kim, Synho Do
Software Mentions: 1
Published: about 7 years ago
10.1038/s41598-019-52552-4
Characterization and Identification of Lysine Succinylation Sites based on Deep Learning MethodCited by: 26
Author(s): Kai-Yao Huang, Justin Bo-Kai Hsu, Tzong-Yi Lee
Software Mentions: 1
Published: about 7 years ago
10.1038/s41598-019-53173-7
Integrated Counts of Carbohydrate-Active Protein Domains as Metabolic Readouts to Distinguish Probiotic Biology and Human Fecal MetagenomesCited by: 2
Author(s): Hong-Hsing Liu, Yuh Jyh Lin, Chen‐Shuan Chung, Kevin Liu, Ya-Hui Chang, Chung-Hsiang Yang, Yun Chen, Yen–Hsuan Ni, Pi-Feng Chang
Software Mentions: 1
Published: almost 7 years ago
10.1038/s41598-019-53324-w
Exploring the limitations of biophysical propensity scales coupled with machine learning for protein sequence analysisCited by: 19
Author(s): Daniele Raimondi, Gabriele Orlando, Wim Vranken, Yves Moreau
Software Mentions: 1
Published: almost 7 years ago
10.1038/s41598-019-53202-5
Machine Learning to Quantitate Neutrophil NETosisCited by: 13
Author(s): Laila Elsherif, Noah Sciaky, Carrington A. Metts, Modasshir, Ioannis Rekleitis, Christine A. Burris, Joshua Walker, Nadeem Ramadan, Tina M. Leisner, Stephen P. Holly, Martis W. Cowles, Kenneth I. Ataga, Joshua Cooper, Leslie V. Parise
Software Mentions: 1
Published: almost 7 years ago
10.1038/s41598-019-53034-3
CPEM: Accurate cancer type classification based on somatic alterations using an ensemble of a random forest and a deep neural networkCited by: 18
Author(s): Kanggeun Lee, Hyoung-oh Jeong, Semin Lee, Won-Ki Jeong
Software Mentions: 1
Published: almost 7 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
10.1038/s41598-019-53889-6
Machine learning-based dynamic mortality prediction after traumatic brain injuryCited by: 64
Author(s): Rahul Raj, Teemu Luostarinen, Eetu Pursiainen, Jussi P. Posti, Riikka Takala, Stepani Bendel, Teijo Konttila, Miikka Korja
Software Mentions: 1
Published: almost 7 years ago
10.1038/s41598-019-54904-6
Deep learning enables pathologist-like scoring of NASH modelsCited by: 55
Author(s): Fabian Heinemann, Gerald Birk, Birgit Stierstorfer
Software Mentions: 1
Published: almost 7 years ago
10.1038/s41598-019-55922-0
Prediction of malignant glioma grades using contrast-enhanced T1-weighted and T2-weighted magnetic resonance images based on a radiomic analysisCited by: 23
Author(s): Takahiro Nakamoto, Wataru Takahashi, Akihiro Haga, Satoshi Takahashi, Shigeru Kiryu, K. Nawa, Takao Ohta, Sho Ozaki, Yuki Nozawa, Shota Tanaka, Akitake Mukasa, Keiichi Nakagawa
Software Mentions: 1
Published: almost 7 years ago
10.2196/22591
Acute Exacerbation of a Chronic Obstructive Pulmonary Disease Prediction System Using Wearable Device Data, Machine Learning, and Deep Learning: Development and Cohort StudyCited by: 39
Author(s): Chia-Tung Wu, Guo-Hung Li, Chun-Ta Huang, Yu-Chieh Cheng, Chi‐Hsien Chen, Jung-Yien Chien, Ping-Hung Kuo, Lu-Cheng Kuo, Feipei Lai
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-019-56863-4
Computational exploration of molecular receptive fields in the olfactory bulb reveals a glomerulus-centric chemical mapCited by: 5
Author(s): Jan Soelter, Jan Schumacher, Hartwig Spors, Michael Schmuker
Software Mentions: 1
Published: almost 7 years ago
10.1038/s41598-019-57003-8
The composition of the perinatal intestinal microbiota in horseCited by: 26
Author(s): Aleksi Husso, Jonna Jalanka, Mohammad Alipour, Petra Huhti, Maria Kareskoski, Tiina Pessa‐Morikawa, Antti Iivanainen, Mikael Niku
Software Mentions: 1
Published: almost 7 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
10.1038/s41598-019-57325-7
The Technome - A Predictive Internal Calibration Approach for Quantitative Imaging Biomarker ResearchCited by: 11
Author(s): Alexander Mühlberg, Alexander Katzmann, Volker Heinemann, Rainer Kärgel, Michael Wels, Oliver Taubmann, Félix Lades, Thomas S. Huber, Stefan Maurus, Julian Walter Holch, J Faivre, Michael Sühling, Dominik Nörenberg, Martine Rémy‐Jardin
Software Mentions: 1
Published: almost 7 years ago
10.1038/s41598-020-58074-8
Resting-state connectivity stratifies premanifest Huntington’s disease by longitudinal cognitive decline rateCited by: 12
Author(s): Pablo Polosecki, Eduardo Castro, Irina Rish, Dorian Pustina, John Harley Warner, Amanda G. Wood, Cristina Sampaio, Guillermo A. Cecchi
Software Mentions: 1
Published: almost 7 years ago
10.1038/s41598-020-58021-7
Internal short circuit detection in Li-ion batteries using supervised machine learningCited by: 59
Author(s): Arunava Naha, Ashish Khandelwal, Samarth Agarwal, Piyush Tagade, Krishnan S. Hariharan, Anshul Kaushik, Ankit Yadu, Subramanya Mayya Kolake, Sangmin Han, Bookeun Oh
Software Mentions: 1
Published: almost 7 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
10.1038/s41598-020-59821-7
Optimal Multi-Stage Arrhythmia Classification ApproachCited by: 40
Author(s): Jianmin Zheng, Huimin Chu, Daniele C. Struppa, Jianming Zhang, Sir Magdi Yacoub, Hesham El-Askary, Anthony Chang, Louis Ehwerhemuepha, Islam Abudayyeh, Alexander Barrett, Guohua Fu, Hai Yao, Dongbo Li, Hangyuan Guo, Cyril Rakovski
Software Mentions: 1
Published: over 6 years ago
10.3390/ani11051305
Random Forest Modelling of Milk Yield of Dairy Cows under Heat Stress ConditionsCited by: 18
Author(s): Marco Bovo, Miki Agrusti, Stefano Benni, Daniele Torreggiani, Patrizia Tassinari
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-020-60898-3
Data-Driven Audiogram Classification for Mobile AudiometryCited by: 8
Author(s): François Charih, Matthew Bromwich, Amy E. Mark, Renée Lefrançois, James R. Green
Software Mentions: 1
Published: over 6 years ago
10.2196/14734
Wearable Digital Sensors to Identify Risks of Postpartum Depression and Personalize Psychological Treatment for Adolescent Mothers: Protocol for a Mixed Methods Exploratory Study in Rural NepalCited by: 18
Author(s): Anubhuti Poudyal, Alastair van Heerden, Ashley Hagaman, Sujen Man Maharjan, Prabin Byanjankar, Prasansa Subba, Brandon A. Kohrt
Software Mentions: 1
Published: about 7 years ago
10.1038/s41598-020-60108-0
Author Correction: Small Molecule Accurate Recognition Technology (SMART) to Enhance Natural Products ResearchCited by: 0
Author(s): Chen Zhang, Yerlan Idelbayev, Nicholas Roberts, Yiwen Tao, Yashwanth Nannapaneni, Brendan M. Duggan, Jie Min, Eugene C. Lin, Erik Gerwick, Garrison W. Cottrell, William H. Gerwick
Software Mentions: 1
Published: over 6 years ago
10.1038/s41598-020-61737-1
Congruency and reactivation aid memory integration through reinstatement of prior knowledgeCited by: 20
Author(s): Marlieke T. R. van Kesteren, Paul Rignanese, Pierre G. Gianferrara, Lydia Krabbendam, Martijn Meeter
Software Mentions: 1
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
10.1038/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
10.1038/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
10.1186/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: 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
10.1038/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