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 2 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
Educational commit emails
142 contributors with educational email addresses -
+20
Academic repository owner
Repository owned by academic institution -
+15
Institutional repository owner
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/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: about 5 years ago
10.2196/15794
Identifying Opioid Use Disorder in the Emergency Department: Multi-System Electronic Health Record–Based Computable Phenotype Derivation and Validation StudyCited by: 18
Author(s): David Chartash, Hyung Paek, James Dziura, Bill K. Ross, Daniel Nogee, Eric Boccio, Cory Hines, Aaron M. Schott, Molly Moore Jeffery, Mehul D. Patel, Timothy F. Platts‐Mills, Osama M. Ahmed, Cynthia Brandt, Katherine Couturier, Edward R. Melnick
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: almost 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: over 4 years ago
10.2196/24572
Development and Validation of a Machine Learning Approach for Automated Severity Assessment of COVID-19 Based on Clinical and Imaging Data: Retrospective StudyCited by: 33
Author(s): Juan C. Quiroz, You‐Zhen Feng, Zhong‐Yuan Cheng, Dana Rezazadegan, Ping-Kang Chen, Qi‐Ting Lin, Long Qian, Xiaofang Liu, Shlomo Berkovsky, Enrico Coiera, Lei Song, Xiaoming Qiu, Sidong Liu, Xiang‐Ran Cai
Software Mentions: 1
Published: almost 5 years ago
10.3390/diagnostics11040612
Prediction Models for Obstructive Sleep Apnea in Korean Adults Using Machine Learning TechniquesCited by: 14
Author(s): Young Jae Kim, Ji Soo Jeon, Seo‐Eun Cho, Kwang Gi Kim, Kyoung-Sae Na
Software Mentions: 1
Published: over 4 years ago
10.2196/medinform.6373
Finding Important Terms for Patients in Their Electronic Health Records: A Learning-to-Rank Approach Using Expert AnnotationsCited by: 11
Author(s): Jinying Chen, Jiaping Zheng, Hong Yu
Software Mentions: 1
Published: almost 9 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 4 years ago
10.2196/29986
Ambulatory Risk Models for the Long-Term Prevention of Sepsis: Retrospective StudyCited by: 1
Author(s): Jewel Y Lee, Sevda Molani, Chen Fang, Kathleen Jade, D. Shane O’Mahony, Sergey A. Kornilov, Lindsay T Mico, Jennifer Hadlock
Software Mentions: 1
Published: over 4 years ago
10.7554/eLife.26023
Topological analysis of multicellular complexity in the plant hypocotylCited by: 33
Author(s): Matthew D. B. Jackson, Hao Xu, Salva Duran-Nebreda, Petra Stamm, George W. Bassel
Software Mentions: 1
Published: over 8 years ago
10.1155/2016/1638936
Improving Feature Representation Based on a Neural Network for Author Profiling in Social Media TextsCited by: 24
Author(s): Helena Gómez-Adorno, Ilia Markov, Grigori Sidorov, Juan-Pablo Posadas-Durán, Miguel A. Sánchez-Pérez, Liliana Chanona-Hernández
Software Mentions: 1
Published: almost 10 years ago
10.1155/2018/6401645
A Reweighted Scheme to Improve the Representation of the Neural Autoregressive Distribution EstimatorCited by: 0
Author(s): Zheng Wang, Qingbiao Wu
Software Mentions: 1
Published: almost 7 years ago
10.2196/16042
Clinical Annotation Research Kit (CLARK): Computable Phenotyping Using Machine LearningCited by: 6
Author(s): Emily R. Pfaff, Miles Crosskey, Kenneth D. Morton, Ashok Krishnamurthy
Software Mentions: 1
Published: almost 6 years ago
10.2196/23930
Machine Learning Electronic Health Record Identification of Patients with Rheumatoid Arthritis: Algorithm Pipeline Development and Validation StudyCited by: 20
Author(s): Tjardo Maarseveen, Timo Meinderink, Marcel J. T. Reinders, Johannes Knitza, Tom W J Huizinga, Arnd Kleyer, Dávid Simon, Erik B. van den Akker, Rachel Knevel
Software Mentions: 1
Published: almost 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: over 4 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: over 4 years ago
10.2196/15932
Prediction of Cardiac Arrest in the Emergency Department Based on Machine Learning and Sequential Characteristics: Model Development and Retrospective Clinical Validation StudyCited by: 19
Author(s): Sungchul Hong, Sungjoo Lee, Jeong-Hoon Lee, Won Chul, Kyunga Kim
Software Mentions: 1
Published: over 5 years ago
10.2196/mental.4822
Validating Machine Learning Algorithms for Twitter Data Against Established Measures of SuicidalityCited by: 140
Author(s): Scott R. Braithwaite, Christophe Giraud‐Carrier, Josh West, Michael Barnes, Carl L. Hanson
Software Mentions: 1
Published: over 9 years ago
10.2196/19348
Utilizing Machine Learning on Internet Search Activity to Support the Diagnostic Process and Relapse Detection in Young Individuals With Early Psychosis: Feasibility StudyCited by: 9
Author(s): Michael L. Birnbaum, Prathamesh Kulkarni, Anna Van Meter, Victor Chen, Asra Ali, Elizabeth Arenare, Munmun De Choudhury, John M. Kane
Software Mentions: 1
Published: about 5 years ago
10.2196/12371
Exploring the Transition to Fatherhood: Feasibility Study Using Social Media and Machine LearningCited by: 11
Author(s): Samantha Teague, Adrian Shatte
Software Mentions: 1
Published: almost 7 years ago
10.2196/26719
Automated Travel History Extraction From Clinical Notes for Informing the Detection of Emergent Infectious Disease Events: Algorithm Development and ValidationCited by: 2
Author(s): Kelly Peterson, Julia M. Lewis, Olga V. Patterson, A Chapman, Daniel W. Denhalter, Patricia A. Lye, Vanessa Stevens, Shantini D. Gamage, Gary A. Roselle, Katherine Wallace, Makoto Jones
Software Mentions: 1
Published: over 4 years ago
10.2196/24132
Improving Detection of Disease Re-emergence Using a Web-Based Tool (RED Alert): Design and Case Analysis StudyCited by: 0
Author(s): Nidhi Parikh, Ashlynn R. Daughton, William Rosenberger, Derek Aberle, Maneesha Elizabeth Chitanvis, Forest Michael Altherr, Nileena Velappan, Geoffrey Fairchild, Alina Deshpande
Software Mentions: 1
Published: almost 5 years ago
10.1038/s42003-021-02393-7
Systems biology informed neural networks (SBINN) predict response and novel combinations for PD-1 checkpoint blockadeCited by: 6
Author(s): Michelle Przedborski, Munisha Smalley, Saravanan Thiyagarajan, Aaron Goldman, Mohammad Kohandel
Software Mentions: 1
Published: over 4 years ago
10.3390/ijerph15091881
Hyperspectral Data and Machine Learning for Estimating CDOM, Chlorophyll a, Diatoms, Green Algae and TurbidityCited by: 50
Author(s): Sina Keller, Philipp Maier, Felix M. Riese, Stefan Norra, Andreas Holbach, Nicolas Börsig, Andre Wilhelms, Christian Moldaenke, André Zaake, Stefan Hinz
Software Mentions: 1
Published: about 7 years ago
10.7554/eLife.70576
PARROT is a flexible recurrent neural network framework for analysis of large protein datasetsCited by: 8
Author(s): Daniel Griffith, Alex S. Holehouse
Software Mentions: 1
Published: about 4 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 4 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: over 4 years ago
10.7554/eLife.20041
Connectivity map of bipolar cells and photoreceptors in the mouse retinaCited by: 127
Author(s): Christian Behrens, Timm Schubert, Silke Haverkamp, Thomas Euler, Philipp Berens
Software Mentions: 1
Published: almost 9 years ago
10.3390/ijerph17072437
Quantifying the Effects of Visual Road Information on Drivers’ Speed Choices to Promote Self-Explaining RoadsCited by: 7
Author(s): Yuting Qin, Yu-Ren Chen, Kun-Peng Lin
Software Mentions: 1
Published: over 5 years ago
10.3390/ijerph17082788
Using Social Media to Mine and Analyze Public Opinion Related to COVID-19 in ChinaCited by: 231
Author(s): Xuehua Han, Juanle Wang, Min Zhang, Xiaojie Wang
Software Mentions: 1
Published: over 5 years ago
10.1155/2021/8387680
Prediction of Heart Disease Using a Combination of Machine Learning and Deep LearningCited by: 175
Author(s): Rohit Bharti, Aditya Khamparia, Mohammad Shabaz, Gaurav Dhiman, Sagar Pande, Parneet Singh
Software Mentions: 1
Published: over 4 years ago
10.3390/ijerph17145145
Mapping the Potential Distribution of Major Tick Species in ChinaCited by: 9
Author(s): Xin Yang, Gengfeng Zheng, Tiangang Zhou, Jian Zhang, Luqi Wang, Lingjun Xiao, Hongjuan Wu, Sen Li
Software Mentions: 1
Published: over 5 years ago
10.1155/2021/6911192
A Multiattention-Based Supervised Feature Selection Method for Multivariate Time SeriesCited by: 0
Author(s): Li Cao, Yanting Chen, Zhiyang Zhang, Ning Gui
Software Mentions: 1
Published: over 4 years ago
10.3390/ijerph17218187
A Feasibility Study Using a Machine Learning Suicide Risk Prediction Model Based on Open-Ended Interview Language in Adolescent Therapy SessionsCited by: 18
Author(s): Joshua Cohen, Jennifer Wright-Berryman, Lesley Rohlfs, Donald Wright, M. Karen Campbell, Debbie Gingrich, Daniel Santel, John Pestian
Software Mentions: 1
Published: about 5 years ago
10.7554/eLife.25069
Altered topology of neural circuits in congenital prosopagnosiaCited by: 45
Author(s): Gideon Rosenthal, Michal Tanzer, Erez Simony, Uri Hasson, Marlene Behrmann, Galia Avidan
Software Mentions: 1
Published: about 8 years ago
10.3390/diagnostics10040209
The Combination of Adaptive Convolutional Neural Network and Bag of Visual Words in Automatic Diagnosis of Third Molar Complications on Dental X-Ray ImagesCited by: 7
Author(s): Võ Trương Như Ngọc, Agwu Chinedu Agwu, Lê Hoàng Sơn, Trần Mạnh Tuấn, Cu Nguyen Giap, Mai Thi Giang Thanh, Hoang Bao Duy, Trần Thị Ngân
Software Mentions: 1
Published: over 5 years ago
10.1155/2019/3076324
Fusion of Motif- and Spectrum-Related Features for Improved EEG-Based Emotion RecognitionCited by: 16
Author(s): Abhishek Tiwari, Tiago H. Falk
Software Mentions: 1
Published: almost 7 years ago
10.3390/ijerph18136750
Machine Learning for Analyzing Non-Countermeasure Factors Affecting Early Spread of COVID-19Cited by: 3
Author(s): Vito Janko, Gašper Slapničar, Erik Dovgan, Nina Reščič, Tine Kolenik, Martin Gjoreski, Maj Smerkol, Matjaž Gams, Mitja Luštrek
Software Mentions: 1
Published: over 4 years ago
10.1016/j.compbiomed.2020.103895
A computational investigation into rate-dependant vectorcardiogram changes due to specific fibrosis patterns in non-ischæmic dilated cardiomyopathyCited by: 7
Author(s): Philip Gemmell, Karli Gillette, Gabriel Balaban, Ronak Rajani, Edward J. Vigmond, Martin J. Bishop
Software Mentions: 1
Published: over 5 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 4 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: almost 9 years ago
10.1186/s13321-021-00499-y
Prediction of activity and selectivity profiles of human Carbonic Anhydrase inhibitors using machine learning classification modelsCited by: 10
Author(s): Annachiara Tinivella, Luca Pinzi, Giulio Rastelli
Software Mentions: 1
Published: over 4 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 4 years ago
10.1186/s13321-020-00473-0
Memory-assisted reinforcement learning for diverse molecular de novo designCited by: 47
Author(s): Thomas Blaschke, Ola Engkvist, Jürgen Bajorath, Hongming Chen
Software Mentions: 1
Published: about 5 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 4 years ago
10.3390/jcm7090277
Development of a Prediction Model for Colorectal Cancer among Patients with Type 2 Diabetes Mellitus Using a Deep Neural NetworkCited by: 15
Author(s): Meng-Hsuen Hsieh, Li‐Min Sun, Cheng‐Li Lin, Meng-Ju Hsieh, Kyle Sun, Chung Y. Hsu, An‐Kuo Chou, Chia Hung Kao
Software Mentions: 1
Published: about 7 years ago
10.3390/jcm7090240
An Artificial Neural Network Model for Predicting Successful Extubation in Intensive Care UnitsCited by: 38
Author(s): Meng-Hsuen Hsieh, Meng-Ju Hsieh, Chin‐Ming Chen, Chih-Chang Hsieh, Chien‐Ming Chao, Chih‐Cheng Lai
Software Mentions: 1
Published: about 7 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: almost 8 years ago
10.3390/jcm8070995
Artificial Intelligence Prediction Model for the Cost and Mortality of Renal Replacement Therapy in Aged and Super-Aged Populations in TaiwanCited by: 10
Author(s): Shih‐Yi Lin, Meng-Hsuen Hsieh, Cheng‐Li Lin, Meng-Ju Hsieh, Wu‐Huei Hsu, Cheng‐Chieh Lin, Chung Y. Hsu, Chia‐Hung Kao
Software Mentions: 1
Published: over 6 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 4 years ago
10.3390/jcm8101677
Artificial Intelligence Algorithms and Natural Language Processing for the Recognition of Syncope Patients on Emergency Department Medical RecordsCited by: 16
Author(s): Franca Dipaola, Mauro Gatti, Veronica Pacetti, Anna Giulia Bottaccioli, Dana Shiffer, Maura Minonzio, Roberto Menè, Alessandro Giaj Levra, Monica Solbiati, Giorgio Costantino, Marco Anastasio, Elena Sini, Franca Barbic, Enrico Brunetta, Raffaello Furlan
Software Mentions: 1
Published: about 6 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 7 years ago
10.3390/jcm8122149
Predicting Long-Term Health-Related Quality of Life after Bariatric Surgery Using a Conventional Neural Network: A Study Based on the Scandinavian Obesity Surgery RegistryCited by: 15
Author(s): Yang Cao, Mustafa Raoof, Scott Montgomery, Johan Ottosson, Ingmar Näslund
Software Mentions: 1
Published: almost 6 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 6 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 5 years ago
10.1186/s13321-020-00452-5
CompRet: a comprehensive recommendation framework for chemical synthesis planning with algorithmic enumerationCited by: 18
Author(s): Ryosuke Shibukawa, Shoichi Ishida, Kazuki Yoshizoe, Kiyotaka Wasa, Kiyosei Takasu, Yasushi Okuno, Kei Terayama, Koji Tsuda
Software Mentions: 1
Published: about 5 years ago
10.3390/jcm9072105
Familial Dysalbuminemic Hyperthyroxinemia: An Underdiagnosed EntityCited by: 8
Author(s): Xavier Dieu, Nathalie Bouzamondo, Claire Briet, Frédéric Illouz, Valérie Moal, F Casson, Natacha Bouhours‐Nouet, Pascal Reynier, Régis Coutant, Patrice Rodien, Delphine Mirebeau‐Prunier
Software Mentions: 1
Published: over 5 years ago
10.1186/s13321-020-00434-7
Assessing the information content of structural and protein–ligand interaction representations for the classification of kinase inhibitor binding modes via machine learning and active learningCited by: 14
Author(s): Raquel Rodríguez-Pérez, Filip Miljković, Jürgen Bajorath
Software Mentions: 1
Published: over 5 years ago
10.3390/jcm9124013
Deep Convolutional Neural Network-Assisted Feature Extraction for Diagnostic Discrimination and Feature Visualization in Pancreatic Ductal Adenocarcinoma (PDAC) versus Autoimmune Pancreatitis (AIP)Cited by: 25
Author(s): Sebastian Ziegelmayer, Georgios Kaissis, F Harder, Friederike Jungmann, Tamara Müller, Marcus R. Makowski, Rickmer Braren
Software Mentions: 1
Published: almost 5 years ago
10.3390/jcm10010060
Hybrid E/M Phenotype(s) and Stemness: A Mechanistic Connection Embedded in Network TopologyCited by: 24
Author(s): Satwik Pasani, Sarthak Sahoo, Mohit Kumar Jolly
Software Mentions: 1
Published: almost 5 years ago
10.1007/s40747-021-00371-4
O-WCNN: an optimized integration of spatial and spectral feature map for arrhythmia classificationCited by: 7
Author(s): Manisha Jangra, Sanjeev Kumar Dhull, Krishna Kant Singh, Akansha Singh, Xiaochun Cheng
Software Mentions: 1
Published: over 4 years ago
10.1186/s13321-020-0413-0
Evaluation of deep and shallow learning methods in chemogenomics for the prediction of drugs specificityCited by: 24
Author(s): Benoit Playe, Véronique Stoven
Software Mentions: 1
Published: almost 6 years ago
10.1186/s13321-018-0310-y
Implicit-descriptor ligand-based virtual screening by means of collaborative filteringCited by: 10
Author(s): Raghuram Srinivas, Pavel V. Klimovich, Eric C. Larson
Software Mentions: 1
Published: almost 7 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: almost 10 years ago
10.3390/jcm10194437
The Accuracy of a Screening System for Carpal Tunnel Syndrome Using Hand DrawingCited by: 5
Author(s): Takuro Watanabe, Tatsuya Koyama, Eriku Yamada, Akimoto Nimura, Koji Fujita, Yuta Sugiura
Software Mentions: 1
Published: about 4 years ago
10.1128/JCM.00273-20
Species Identification and Antibiotic Resistance Prediction by Analysis of Whole-Genome Sequence Data by Use of ARESdb: an Analysis of Isolates from the Unyvero Lower Respiratory Tract Infection TrialCited by: 34
Author(s): Inês M. Ferreira, Stephan Beisken, Lukas Lueftinger, Thomas Weinmaier, Matthias Klein, Johannes Bacher, Robin Patel, Arndt von Haeseler, Andreas E. Posch
Software Mentions: 1
Published: over 5 years ago
10.1186/s13321-019-0368-1
Multi-channel PINN: investigating scalable and transferable neural networks for drug discoveryCited by: 17
Author(s): Munhwan Lee, Hye-Yeon Kim, Hyunwhan Joe, Hong-Gee Kim
Software Mentions: 1
Published: over 6 years ago
10.1007/s10822-017-0020-y
Proteus: a random forest classifier to predict disorder-to-order transitioning binding regions in intrinsically disordered proteinsCited by: 27
Author(s): Sankar Basu, Fredrik Söderquist, Björn Wallner
Software Mentions: 1
Published: over 8 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 4 years ago
10.1007/s10822-020-00314-0
Interpretation of machine learning models using shapley values: application to compound potency and multi-target activity predictionsCited by: 197
Author(s): Raquel Rodríguez-Pérez, Jürgen Bajorath
Software Mentions: 1
Published: over 5 years ago
10.1016/j.dib.2021.107431
Dataset for modeling Beck’s cognitive triad to understand depressionCited by: 1
Author(s): Shreekant Jere, Annapurna P. Patil, Ganeshayya Shidaganti, Shweta S. Aladakatti, Laxmi Jayannavar
Software Mentions: 1
Published: about 4 years ago
10.1007/s10822-021-00376-8
Evaluation of multi-target deep neural network models for compound potency prediction under increasingly challenging test conditionsCited by: 9
Author(s): Raquel Rodríguez-Pérez, Jürgen Bajorath
Software Mentions: 1
Published: over 4 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 6 years ago
10.1186/s13321-019-0364-5
KekuleScope: prediction of cancer cell line sensitivity and compound potency using convolutional neural networks trained on compound imagesCited by: 40
Author(s): Isidro Cortés-Ciriano, Andreas Bender
Software Mentions: 1
Published: over 6 years ago
10.1186/s13321-018-0281-z
Effect of missing data on multitask prediction methodsCited by: 27
Author(s): Antonio de la Vega de León, Beining Chen, Valerie J. Gillet
Software Mentions: 1
Published: over 7 years ago
10.1186/s13321-018-0275-x
Finding the molecular scaffold of nuclear receptor inhibitors through high-throughput screening based on proteochemometric modellingCited by: 5
Author(s): Tianyi Qiu, Dingfeng Wu, Jingxuan Qiu, Zhiwei Cao
Software Mentions: 1
Published: over 7 years ago
10.1186/s13321-018-0268-9
Spectrophores as one-dimensional descriptors calculated from three-dimensional atomic properties: applications ranging from scaffold hopping to multi-target virtual screeningCited by: 13
Author(s): Rafaela Gladysz, Fábio Mendes dos Santos, Wilfried Langenaeker, Gert Thijs, Koen Augustyns, Hans De Winter
Software Mentions: 1
Published: over 7 years ago
10.1089/end.2019.0509
Support System of Cystoscopic Diagnosis for Bladder Cancer Based on Artificial IntelligenceCited by: 52
Author(s): Atsushi Ikeda, Hirokazu Nosato, Yuta Kochi, Takahiro Kojima, Koji Kawai, Hidenori Sakanashi, Masahiro Murakawa, Hiroyuki Nishiyama
Software Mentions: 1
Published: over 5 years ago
10.3390/curroncol28040275
A Machine Learning Approach to Predict Stress Hormones and Inflammatory Markers Using Illness Perception and Quality of Life in Breast Cancer PatientsCited by: 3
Author(s): Irina Crumpei-Tanasă, Iulia Crumpei
Software Mentions: 1
Published: about 4 years ago
10.1007/s00167-020-06418-2
Machine-learning algorithm that can improve the diagnostic accuracy of septic arthritis of the kneeCited by: 4
Author(s): Eun-Seok Choi, Jae Ang Sim, Young Gon Na, Jong Keun Seon, Hyun Dae Shin
Software Mentions: 1
Published: almost 5 years ago
10.1186/s13321-016-0124-8
GPURFSCREEN: a GPU based virtual screening tool using random forest classifierCited by: 18
Author(s): P. B. Jayaraj, Mathias K. Ajay, M. Nufail, G Gopakumar, U. C. Abdul Jaleel
Software Mentions: 1
Published: over 9 years ago
10.1371/journal.ppat.1009015
A non-enveloped arbovirus released in lysosome-derived extracellular vesicles induces super-infection exclusionCited by: 12
Author(s): Thomas Labadie, Polly Roy
Software Mentions: 1
Published: about 5 years ago
10.7554/eLife.16800
How open science helps researchers succeedCited by: 422
Author(s): Erin C. McKiernan, Philip E. Bourne, Calvin Brown, Stuart Buck, Amye Kenall, Jennifer Lin, Damon McDougall, Brian A. Nosek, Karthik Ram, Courtney K. Soderberg, Jeffrey R. Spies, Kaitlin Thaney, Updegrove Andrew, Kara Woo, Tal Yarkoni
Software Mentions: 1
Published: over 9 years ago
10.1021/acs.jctc.0c00961
Per|Mut: Spatially Resolved Hydration Entropies from Atomistic SimulationsCited by: 12
Author(s): Leonard P. Heinz, Helmut Grubmüller
Software Mentions: 1
Published: over 4 years ago
10.1145/3308558.3313432
Goal-setting And Achievement In Activity Tracking Apps: A Case Study Of MyFitnessPalCited by: 23
Author(s): Mitchell Gordon, Tim Althoff, Jure Leskovec
Software Mentions: 1
Published: over 6 years ago
10.1073/pnas.1802705116
Optimal errors and phase transitions in high-dimensional generalized linear modelsCited by: 138
Author(s): Jean Barbier, Florent Krza̧kała, Nicolas Macris, Marco Leo, Lenka Zdeborová
Software Mentions: 1
Published: over 6 years ago
10.1007/s00294-020-01070-2
Fungal Kti12 proteins display unusual linker regions and unique ATPase p-loopsCited by: 3
Author(s): Rościsław Krutyhołowa, Annekathrin Reinhardt-Tews, Andrzej Chramiec‐Głąbik, Karin D. Breunig, Sebastian Glatt
Software Mentions: 1
Published: over 5 years ago
10.1073/pnas.2002660117
Comprehensive characterization of amino acid positions in protein structures reveals molecular effect of missense variantsCited by: 54
Author(s): Sumaiya Iqbal, Eduardo Pérez‐Palma, Jakob Berg Jespersen, Patrick May, David Hoksza, Henrike O. Heyne, Shehab Ahmed, Zaara Tasnim Rifat, M. Sohel Rahman, Kasper Lage, Aarno Palotie, Jeffrey R. Cottrell, Florence F. Wagner, Mark J. Daly, Arthur J. Campbell, Dennis Lal
Software Mentions: 1
Published: about 5 years ago
10.1021/acs.jcim.1c00451
ChemBioSim: Enhancing Conformal Prediction of In Vivo Toxicity by Use of Predicted BioactivitiesCited by: 12
Author(s): Marina Garcia de Lomana, Andrea Morger, Ulf Norinder, Roland Buesen, Robert Landsiedel, Andrea Volkamer, Johannes Kirchmair, Miriam Mathea
Software Mentions: 1
Published: over 4 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 6 years ago
10.3390/jcdd8060065
Machine Learning for Predicting Mortality in Transcatheter Aortic Valve Implantation: An Inter-Center Cross Validation StudyCited by: 3
Author(s): Marco Mamprin, Ricardo R. Lopes, Jo M. Zelis, Pim A.L. Tonino, Martijn S. van Mourik, Marije M. Vis, Svitlana Zinger, Bas A.J.M. de Mol, Peter H. N. de With
Software Mentions: 1
Published: over 4 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 6 years ago
10.7150/jca.37006
A Panel of Urinary Long Non-coding RNAs Differentiate Bladder Cancer from UrocystitisCited by: 24
Author(s): Xiao Yu, Ruiwei Wang, Chenglin Han, Zilong Wang, Xunbo Jin
Software Mentions: 1
Published: almost 6 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 6 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 6 years ago
10.1186/s13326-020-00221-1
Neural side effect discovery from user credibility and experience-assessed online health discussionsCited by: 1
Author(s): Van-Hoang Nguyen, Kazunari Sugiyama, Min-Yen Kan, Kishaloy Halder
Software Mentions: 1
Published: over 5 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 6 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 6 years ago
10.1515/jib-2020-0051
Cross-evaluation of social mining for classification of depressed online personasCited by: 1
Author(s): Alina Trifan
Software Mentions: 1
Published: over 4 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 6 years ago