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

Enhanced Analysis
Educational Contributors: 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
README Analysis:
Science Score: 100/100
Starting Score: 100 points
Bonuses:
  • +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:
  • -10 PyPI ecosystem
    General-purpose ecosystem

Very Likely Science (100)

Papers Mentioning scikit-learn 2,431

10.3390/cancers13102342
Voxelwise Principal Component Analysis of Dynamic [S-Methyl-11C]Methionine PET Data in Glioma Patients
Cited by: 9
Author(s): Corentin Martens, Olivier Debeir, Christine Decaestecker, Thierry Metens, Laetitia Lebrun, Gil Leurquin‐Sterk, Nicola Trotta, Serge Goldman, Gaëtan Van Simaeys
Software Mentions: 2
Published: over 4 years ago
10.3389/fninf.2019.00070
ASD-DiagNet: A Hybrid Learning Approach for Detection of Autism Spectrum Disorder Using fMRI Data
Cited by: 171
Author(s): Taban Eslami, Vahid Mirjalili, A.C.M. Fong, Angela R. Laird, Fahad Saeed
Software Mentions: 2
Published: almost 6 years ago
10.1038/s41598-020-57900-3
Single-cell dispensing and ‘real-time’ cell classification using convolutional neural networks for higher efficiency in single-cell cloning
Cited by: 18
Author(s): Julian Riba, Jonas Schoendube, Stefan Zimmermann, Peter Koltay, Roland Zengerle
Software Mentions: 2
Published: almost 6 years ago
10.3390/cancers11111680
Radiomics Model Based on Non-Contrast CT Shows No Predictive Power for Complete Pathological Response in Locally Advanced Rectal Cancer
Cited by: 22
Author(s): Gordian Hamerla, Hans‐Jonas Meyer, Peter Hambsch, U. Wolf, Thomas Kuhnt, Karl‐Titus Hoffmann, Alexey Surov
Software Mentions: 2
Published: about 6 years ago
10.1038/s41598-020-58467-9
Deep Learning Models for Histopathological Classification of Gastric and Colonic Epithelial Tumours
Cited by: 236
Author(s): Osamu Iizuka, Fahdi Kanavati, Kei Kato, Michael Rambeau, Koji Arihiro, Masayuki Tsuneki
Software Mentions: 2
Published: almost 6 years ago
10.12688/wellcomeopenres.15617.3
Longitudinal trajectories of brain age in young individuals at familial risk of mood disorder from the Scottish Bipolar Family Study
Cited by: 3
Author(s): Laura de Nooij, Mathew A. Harris, Emma L. Hawkins, Toni‐Kim Clarke, Xueyi Shen, Stella W. Y. Chan, Tim Ziermans, Andrew M. McIntosh, Heather C. Whalley
Software Mentions: 2
Published: about 5 years ago
10.1371/journal.pone.0214775
tbiExtractor: A framework for extracting traumatic brain injury common data elements from radiology reports
Cited by: 4
Author(s): Margaret Y. Mahan, Daniel Rafter, Hannah Casey, Marta Engelking, Tessneem Abdallah, Charles L. Truwit, Mark Oswood, Uzma Samadani
Software Mentions: 2
Published: over 5 years ago
10.12688/wellcomeopenres.15201.3
Prediction of mosquito species and population age structure using mid-infrared spectroscopy and supervised machine learning
Cited by: 26
Author(s): Mario González‐Jiménez, Simon A. Babayan, Pegah Khazaeli, Margaret Doyle, Finlay Walton, Elliott Reedy, Thomas Glew, Mafalda Viana, Lisa Ranford-Cartwright, Abdoulaye Niang, Doreen J. Siria, Fredros O. Okumu, Abdoulaye Diabaté, Heather M. Ferguson, Francesco Baldini, Klaas Wynne
Software Mentions: 2
Published: about 6 years ago
10.1109/JTEHM.2019.2940900
Automated Detection of Parkinson’s Disease Based on Multiple Types of Sustained Phonations Using Linear Discriminant Analysis and Genetically Optimized Neural Network
Cited by: 116
Author(s): Liaqat Ali, Ce Zhu, Zhonghao Zhang, Yipeng Liu
Software Mentions: 2
Published: almost 7 years ago
10.1038/s42003-021-02514-2
Moisture modulates soil reservoirs of active DNA and RNA viruses
Cited by: 30
Author(s): Ruonan Wu, Michelle Davison, Yuqian Gao, Carrie Nicora, Jason McDermott, Kristin Burnum-Johnson, Kirsten Hofmockel, Janet K. Jansson
Software Mentions: 2
Published: about 4 years ago
10.1038/s42003-020-01559-z
Deep learning identifies partially overlapping subnetworks in the human social brain
Cited by: 10
Author(s): Hannah Kiesow, R. Nathan Spreng, Avram J. Holmes, M. Mallar Chakravarty, André F. Marquand, B.T. Thomas Yeo, Danilo Bzdok
Software Mentions: 2
Published: almost 5 years ago
10.1038/s42003-020-1079-x
β-amyloid and tau drive early Alzheimer’s disease decline while glucose hypometabolism drives late decline
Cited by: 49
Author(s): Tyler C. Hammond, Xin Xing, Chris Wang, Dávid Ma, Kwangsik Nho, Paul K. Crane, Fanny M. Elahi, David A. Ziegler, Gongbo Liang, Qiang Cheng, Lucille M. Yanckello, Nathan Jacobs, Ai-Ling Lin
Software Mentions: 2
Published: over 5 years ago
10.1155/2021/6151651
Utterance Clustering Using Stereo Audio Channels
Cited by: 1
Author(s): Yingjun Dong, Neil G. MacLaren, Yiding Cao, Francis J. Yammarino, Shelley D. Dionne, Michael D. Mumford, Shane Connelly, Hiroki Sayama, Gregory A. Ruark
Software Mentions: 2
Published: about 4 years ago
10.1155/2015/136921
Classification of Parkinsonian Syndromes from FDG-PET Brain Data Using Decision Trees with SSM/PCA Features
Cited by: 41
Author(s): Deborah Mudali, Laura K. Teune, Remco Renken, Klaus L. Leenders, Jos B. T. M. Roerdink
Software Mentions: 2
Published: almost 11 years ago
10.1080/01969722.2018.1556438
Modeling Mentor-Mentee Dialogues in Film
Cited by: 0
Author(s): Anna Dobrosovestnova, Marcin Skowron, Sabine Payr, Robert Trappl
Software Mentions: 2
Published: over 6 years ago
10.1093/database/bav123
ChemProt-3.0: a global chemical biology diseases mapping
Cited by: 81
Author(s): Jens Vindahl Kringelum, Sonny Kim Kjærulff, Søren Brunak, Ole Lund, Tudor I. Oprea, Olivier Taboureau
Software Mentions: 2
Published: almost 10 years ago
10.1093/database/baaa002
GXD’s RNA-Seq and Microarray Experiment Search: using curated metadata to reliably find mouse expression studies of interest
Cited by: 2
Author(s): Cyndi M. Smith, James A. Kadin, Richard M. Baldarelli, Jonathan S Beal, Olin Blodgett, Sharon C Giannatto, Joel E. Richardson, Martin Ringwald
Software Mentions: 2
Published: almost 6 years ago
10.1093/database/baab017
Drugmonizome and Drugmonizome-ML: integration and abstraction of small molecule attributes for drug enrichment analysis and machine learning
Cited by: 16
Author(s): Eryk Kropiwnicki, John Erol Evangelista, Daniel J. Stein, Daniel J. B. Clarke, Alexander Lachmann, Maxim V. Kuleshov, Minji Jeon, Kathleen M. Jagodnik, Avi Ma’ayan
Software Mentions: 2
Published: almost 5 years ago
10.1093/database/baaa050
mAML: an automated machine learning pipeline with a microbiome repository for human disease classification
Cited by: 18
Author(s): Fenglong Yang, Quan Zou
Software Mentions: 2
Published: almost 6 years ago
10.1186/s13000-021-01126-y
Normalization of HE-stained histological images using cycle consistent generative adversarial networks
Cited by: 16
Author(s): Marlen Runz, Daniel Rusche, S. Schmidt, Martin R. Weihrauch, Jürgen Hesser, Cleo–Aron Weis
Software Mentions: 2
Published: over 4 years ago
10.3390/diagnostics11081508
Deep Learning Analysis of In Vivo Hyperspectral Images for Automated Intraoperative Nerve Detection
Cited by: 13
Author(s): Manuel Barberio, Toby Collins, Valentin Bencteux, Richard Nkusi, Eric Felli, Massimo Viola, Jacques Marescaux, Alexandre Hostettler, Michele Diana
Software Mentions: 2
Published: about 4 years ago
10.1242/dmm.044560
Sentinel Interaction Mapping (SIM) – A generic approach for the functional analysis of human disease gene variants using yeast
Cited by: 4
Author(s): Barry P. Young, Kathryn Post, Jesse T. Chao, Fabian Meili, Kurt Haas, Christopher Loewen
Software Mentions: 2
Published: almost 6 years ago
10.1017/dmp.2021.65
Topic Analysis of Traditional and Social Media News Coverage of the Early COVID-19 Pandemic and Implications for Public Health Communication
Cited by: 18
Author(s): Wallace Chipidza, Elmira Akbaripourdibazar, Tendai Gwanzura, Nicole M. Gatto
Software Mentions: 2
Published: over 4 years ago
10.1140/epjds/s13688-017-0124-6
Are you getting sick? Predicting influenza-like symptoms using human mobility behaviors
Cited by: 34
Author(s): Gianni Barlacchi, Christos Perentis, Anil K. Mehrotra, Mirco Musolesi, Bruno Lepri
Software Mentions: 2
Published: about 8 years ago
10.3390/e23080952
Early Prediction of Physical Performance in Elite Soccer Matches—A Machine Learning Approach to Support Substitutions
Cited by: 6
Author(s): Talko Dijkhuis, Matthias Kempe, Koen Lemmink
Software Mentions: 2
Published: over 4 years ago
10.3390/e23010021
ML-Based Analysis of Particle Distributions in High-Intensity Laser Experiments: Role of Binning Strategy
Cited by: 1
Author(s): Yury Rodimkov, Evgeny Efimenko, Valentin Volokitin, Elena Panova, А. Н. Половинкин, Iosif B. Meyerov, Arkady Gonoskov
Software Mentions: 2
Published: almost 5 years ago
10.3390/e23050553
An Improved Similarity-Based Clustering Algorithm for Multi-Database Mining
Cited by: 1
Author(s): Salim Miloudi, Yulin Wang, Wenjia Ding
Software Mentions: 2
Published: over 4 years ago
10.3390/e23010037
Predicting the Critical Number of Layers for Hierarchical Support Vector Regression
Cited by: 3
Author(s): Ryan Mohr, Maria Fonoberova, Zlatko Drmač, Iva Manojlović, Igor Mezić
Software Mentions: 2
Published: almost 5 years ago
10.3390/e23020201
Unsupervised Anomaly Detection with Distillated Teacher-Student Network Ensemble
Cited by: 3
Author(s): Qinfeng Xiao, Jing Wang, Youfang Lin, Wenbo Gongsa, Ganghui Hu, Menggang Li, Fang Wang
Software Mentions: 2
Published: almost 5 years ago
10.1007/s00330-019-06163-2
Precise diagnosis of intracranial hemorrhage and subtypes using a three-dimensional joint convolutional and recurrent neural network
Cited by: 149
Author(s): Yang Hai, Feng Gao, Youbing Yin, Dongyan Guo, Pengfei Zhao, Yi Lu, Xin Wang, Junjie Bai, Kunlin Cao, Qi Song, Heye Zhang, Wei Chen, Xuejun Guo, Jun Xia
Software Mentions: 2
Published: over 6 years ago
10.1155/2015/457071
Spatial Patterns of the Indications of Acupoints Using Data Mining in Classic Medical Text: A Possible Visualization of the Meridian System
Cited by: 17
Author(s): Won-Mo Jung, Taehyung Lee, In-Seon Lee, Sang-Hyun Kim, Hyunchul Jang, Song-Yi Kim, Hi-Joon Park, Younbyoung Chae
Software Mentions: 2
Published: almost 11 years ago
10.12688/f1000research.16415.1
Large-scale protein function prediction using heterogeneous ensembles
Cited by: 11
Author(s): Linhua Wang, Jeffrey Law, Shiv D. Kale, T. M. Murali, Gaurav Pandey
Software Mentions: 2
Published: about 7 years ago
10.12688/f1000research.25750.1
RNA-Seq analysis of genes affected by Cyclophilin A/DIAGEOTROPICA (DGT) in tomato root development
Cited by: 2
Author(s): Maria G. Ivanchenko, Olivia R. Ozguc, Stephanie R. Bollmann, Valerie N. Fraser, Molly Megraw
Software Mentions: 2
Published: about 5 years ago
10.3389/fnagi.2019.00167
Radiomic Features of the Nigrosome-1 Region of the Substantia Nigra: Using Quantitative Susceptibility Mapping to Assist the Diagnosis of Idiopathic Parkinson's Disease
Cited by: 41
Author(s): Zenghui Cheng, Jiping Zhang, Naying He, Li Yan, Yaofeng Wen, Hongmin Xu, Rongbiao Tang, Zhijia Jin, E. Mark Haacke, Fuhua Yan, Dahong Qian
Software Mentions: 2
Published: over 6 years ago
10.3389/frai.2021.624629
An Attempt to Boost Posterior Population Expansion Using Fast Machine Learning Algorithms
Cited by: 3
Author(s): Przemysław Juda, Philippe Renard
Software Mentions: 2
Published: over 4 years ago
10.3389/frai.2021.579931
Predicting the Disease Outcome in COVID-19 Positive Patients Through Machine Learning: A Retrospective Cohort Study With Brazilian Data
Cited by: 25
Author(s): Fernanda Sumika Hojo de Souza, Natália Satchiko Hojo-Souza, Edimilson Batista dos Santos, Cristiano M. Silva, Daniel L. Guidoni
Software Mentions: 2
Published: about 4 years ago
10.1098/rsfs.2016.0018
Development of an open technology sensor suite for assisted living: a student-led research project
Cited by: 4
Author(s): James D. Manton, Josie Hughes, Oliver Bonner, Omar A. Amjad, Philip Mair, Isabella Miele, Tiesheng Wang, Vitaly Levdik, Richard Hall, Géraldine Baekelandt, Fernando da Cruz Vasconcellos, O. Hadeler, Tanya Hutter, Clemens F. Kaminski
Software Mentions: 2
Published: over 9 years ago
10.1001/jamanetworkopen.2019.7314
Comparative Effectiveness of New Approaches to Improve Mortality Risk Models From Medicare Claims Data
Cited by: 19
Author(s): Harlan M. Krumholz, Andreas Coppi, Frederick Warner, Elizabeth W. Triche, Shuxia Li, Shiwani Mahajan, Yixin Li, Susannah M. Bernheim, Jacqueline N. Grady, Karen Dorsey, Zhenqiu Lin, Sharon‐Lise T. Normand
Software Mentions: 2
Published: over 6 years ago
10.1001/jamanetworkopen.2020.2875
Assessment of Potentially Inappropriate Prescribing of Opioid Analgesics Requiring Prior Opioid Tolerance
Cited by: 5
Author(s): Molly Moore Jeffery, Christine E. Chaisson, Christopher A. Hane, Louis Rumanes, Jamie Tucker, Lillian Hang, Rozalina G. McCoy, Catherine L. Chen, Mark C. Bicket, W. Michael Hooten, Marc R. Larochelle, William C. Becker, Cynthia Kornegay, Judith A. Racoosin, Darshak M. Sanghavi
Software Mentions: 2
Published: over 5 years ago
10.1093/jamiaopen/ooaa006
Machine learning for early detection of sepsis: an internal and temporal validation study
Cited by: 44
Author(s): Armando Bedoya, Joseph Futoma, Meredith E. Clement, Kristin Corey, Nathan Brajer, Anthony Lin, Morgan G. Simons, Michael Gao, Marshall Nichols, Suresh Balu, Katherine Heller, Mark Sendak, Cara O’Brien
Software Mentions: 2
Published: over 5 years ago
10.1107/S1600576720011103
Density-based clustering of crystal (mis)orientations and the <i>orix</i> Python library
Cited by: 14
Author(s): Duncan N. Johnstone, Baudouin Martineau, Phillip Crout, Paul A. Midgley, Alexander S. Eggeman
Software Mentions: 2
Published: about 5 years ago
10.1186/s40537-021-00488-w
Investigating the impact of pre-processing techniques and pre-trained word embeddings in detecting Arabic health information on social media
Cited by: 19
Author(s): Yahya Albalawi, Jim Buckley, Nikola S. Nikolov
Software Mentions: 2
Published: over 4 years ago
10.1186/s12968-020-00690-4
Deep learning to diagnose cardiac amyloidosis from cardiovascular magnetic resonance
Cited by: 29
Author(s): Nicola Mondaini, Alberto Aimo, Andrea Barison, Daniele Della Latta, Giuseppe Vergaro, Giovanni Donato Aquaro, Andrea Ripoli, Michele Emdin, Dante Chiappino
Software Mentions: 2
Published: almost 5 years ago
10.1083/jcb.201909178
A direct role for SNX9 in the biogenesis of filopodia
Cited by: 8
Author(s): Iris K. Jarsch, Jonathan R Gadsby, Annalisa Nuccitelli, Julia Mason, Hanae Shimo, Ludovic Pilloux, N. Bishara Marzook, Claire M. Mulvey, Ulrich Dobramysl, Charles R. Bradshaw, Kathryn S. Lilley, Richard Hayward, Tristan J. Vaughan, Claire Dobson, Jennifer L. Gallop
Software Mentions: 2
Published: over 5 years ago
10.1186/1758-2946-5-43
Similarity maps - a visualization strategy for molecular fingerprints and machine-learning methods
Cited by: 110
Author(s): Sereina Riniker, Gregory A. Landrum
Software Mentions: 2
Published: about 12 years ago
10.1186/s13321-015-0090-6
Synergy Maps: exploring compound combinations using network-based visualization
Cited by: 34
Author(s): Richard P. Lewis, Rajarshi Guha, Tamás Korcsmáros, Andreas Bender
Software Mentions: 2
Published: over 10 years ago
10.1186/s13321-016-0121-y
Selectivity profiling of BCRP versus P-gp inhibition: from automated collection of polypharmacology data to multi-label learning
Cited by: 25
Author(s): Floriane Montanari, Barbara Zdrazil, Daniela Digles, Gerhard Ecker
Software Mentions: 2
Published: almost 10 years ago
10.1186/s13321-016-0184-9
Utilizing maximal frequent itemsets and social network analysis for HIV data analysis
Cited by: 1
Author(s): Yunuscan Koçak, Tansel Özyer, Reda Alhajj
Software Mentions: 2
Published: almost 9 years ago
10.1186/s13321-019-0348-5
QligFEP: an automated workflow for small molecule free energy calculations in Q
Cited by: 46
Author(s): Willem Jespers, Mauricio Esguerra, Johan Åqvist, Hugo Gutiérrez‐de‐Terán
Software Mentions: 2
Published: over 6 years ago
10.1186/s13321-019-0356-5
Leveraging heterogeneous data from GHS toxicity annotations, molecular and protein target descriptors and Tox21 assay readouts to predict and rationalise acute toxicity
Cited by: 5
Author(s): Chad H. G. Allen, Lewis Mervin, Samar Mahmoud, Andreas Bender
Software Mentions: 2
Published: over 6 years ago
10.1186/s13321-019-0381-4
Machine learning models for hydrogen bond donor and acceptor strengths using large and diverse training data generated by first-principles interaction free energies
Cited by: 16
Author(s): Christoph Bauer, Gisbert Schneider, Andreas H. Göller
Software Mentions: 2
Published: about 6 years ago
10.1186/s13321-019-0391-2
Dataset’s chemical diversity limits the generalizability of machine learning predictions
Cited by: 59
Author(s): Marta Glavatskikh, Jules Leguy, Gilles Hunault, Thomas Cauchy, Benoit Da Mota
Software Mentions: 2
Published: almost 6 years ago
10.1186/s13321-019-0402-3
Learning important features from multi-view data to predict drug side effects
Cited by: 7
Author(s): Xujun Liang, Peng Fei Zhang, Jun Li, Ying Fu, Lingzhi Qu, Yongheng Chen, Zhuchu Chen
Software Mentions: 2
Published: almost 6 years ago
10.1186/s13321-020-00435-6
kGCN: a graph-based deep learning framework for chemical structures
Cited by: 49
Author(s): Ryosuke Kojima, Shoichi Ishida, Masateru Ohta, Hiroaki Iwata, Teruki Honma, Yasushi Okuno
Software Mentions: 2
Published: over 5 years ago
10.1186/s13321-020-00443-6
QSAR-derived affinity fingerprints (part 1): fingerprint construction and modeling performance for similarity searching, bioactivity classification and scaffold hopping
Cited by: 25
Author(s): Ctibor Škuta, Isidro Cortés-Ciriano, Wim Dehaen, Pavel Kříž, Gerard J. P. van Westen, Igor V. Tetko, Andreas Bender, Daniel Svozil
Software Mentions: 2
Published: over 5 years ago
10.1186/s13321-021-00487-2
MAIP: a web service for predicting blood‐stage malaria inhibitors
Cited by: 14
Author(s): Nicolas Bosc, Eloy Félix, Ricardo Arcila, David Méndez, Martin Saunders, Darren V. S. Green, Jason Ochoada, Anang A. Shelat, Éric Martin, Preeti Iyer, Ola Engkvist, Andreas Verras, James Duffy, Jeremy N. Burrows, Mark Gardner, Andrew R. Leach
Software Mentions: 2
Published: over 4 years ago
10.1186/s13321-021-00507-1
SMPLIP-Score: predicting ligand binding affinity from simple and interpretable on-the-fly interaction fingerprint pattern descriptors
Cited by: 17
Author(s): Surendra Kumar, Mi‐Hyun Kim
Software Mentions: 2
Published: over 4 years ago
10.1186/s13321-021-00541-z
CardioTox net: a robust predictor for hERG channel blockade based on deep learning meta-feature ensembles
Cited by: 11
Author(s): Abdul Karim, Matthew Lee, Thomas Balle, Abdul Sattar
Software Mentions: 2
Published: about 4 years ago
10.1186/s13321-021-00542-y
How can SHAP values help to shape metabolic stability of chemical compounds?
Cited by: 26
Author(s): Agnieszka Wojtuch, Rafał Jankowski, Sabina Podlewska
Software Mentions: 2
Published: about 4 years ago
10.3390/jcm8050668
A Comparative Study of Machine Learning Algorithms in Predicting Severe Complications after Bariatric Surgery
Cited by: 42
Author(s): Yang Cao, Xin Fang, Johan Ottosson, Erik Näslund, Erik Stenberg
Software Mentions: 2
Published: over 6 years ago
10.3390/jcm8071050
Physician-Friendly Machine Learning: A Case Study with Cardiovascular Disease Risk Prediction
Cited by: 40
Author(s): Meghana Padmanabhan, Pengyu Yuan, Govind Chada, Hien Van Nguyen
Software Mentions: 2
Published: over 6 years ago
10.3390/jcm8111770
An Association of Gut Microbiota with Different Phenotypes in Chinese Patients with Rheumatoid Arthritis
Cited by: 59
Author(s): Hung‐Ting Chiang, Jiànróng Lǐ, Chun-Chi Liu, Po‐Yu Liu, Hsin‐Hua Chen, Yiming Chen, Joung‐Liang Lan, Der‐Yuan Chen
Software Mentions: 2
Published: about 6 years ago
10.3390/jcm9030658
An Autoencoder and Machine Learning Model to Predict Suicidal Ideation with Brain Structural Imaging
Cited by: 8
Author(s): Jun‐Cheng Weng, Tung-Yeh Lin, Yuan-Hsiung Tsai, Man Teng Cheok, Yi-Peng Eve Chang, Vincent Chin‐Hung Chen
Software Mentions: 2
Published: over 5 years ago
10.3390/jcm9051250
Multiparametric Modelling of Survival in Pancreatic Ductal Adenocarcinoma Using Clinical, Histomorphological, Genetic and Image-Derived Parameters
Cited by: 12
Author(s): Georgios Kaissis, Friederike Jungmann, Sebastian Ziegelmayer, Fabian Lohöfer, F Harder, Anna Melissa Schlitter, Alexander Muckenhuber, Katja Steiger, Rebekka Schirren, Helmut Frieß, Roland M. Schmid, Wilko Weichert, Marcus R. Makowski, Rickmer Braren
Software Mentions: 2
Published: over 5 years ago
10.3390/jcm10050931
SARS-CoV-2 Is a Culprit for Some, but Not All Acute Ischemic Strokes: A Report from the Multinational COVID-19 Stroke Study Group
Cited by: 16
Author(s): Shima Shahjouei, Michelle Anyaehie, Eric Koza, Georgios Tsivgoulis, Soheil Naderi, Ashkan Mowla, Venkatesh Avula, Alireza Vafaei Sadr, Durgesh Chaudhary, Ghasem Farahmand, Christoph J. Griessenauer, Mahmoud Reza Azarpazhooh, Debdipto Misra, Li Jiang, Vida Abedi, Ramin Zand
Software Mentions: 2
Published: over 4 years ago
10.3390/jcm10153308
Usefulness of a Hepatitis B Surface Antigen-Based Model for the Prediction of Functional Cure in Patients with Chronic Hepatitis B Virus Infection Treated with Nucleos(t)ide Analogues: A Real-World Study
Cited by: 5
Author(s): Gian Paolo Caviglia, Yulia Troshina, Enrico Garro, M. Gesualdo, Serena Aneli, Giovanni Birolo, Fabrizia Pittaluga, Rossana Cavallo, Giorgio Maria Saracco, Alessia Ciancio
Software Mentions: 2
Published: over 4 years ago
10.1007/s10822-020-00300-6
Enhancing reaction-based de novo design using a multi-label reaction class recommender
Cited by: 12
Author(s): Gian Marco Ghiandoni, Michael J. Bodkin, Beining Chen, Dimitar Hristozov, James E. A. Wallace, James Webster, Valerie J. Gillet
Software Mentions: 2
Published: over 5 years ago
10.1007/s10822-020-00349-3
DeepCOMO: from structure-activity relationship diagnostics to generative molecular design using the compound optimization monitor methodology
Cited by: 6
Author(s): Dimitar Yonchev, Jürgen Bajorath
Software Mentions: 2
Published: about 5 years ago
10.1002/jcc.23643
Visualizing energy landscapes with metric disconnectivity graphs
Cited by: 24
Author(s): Lewis C. Smeeton, Mark T. Oakley, Roy L. Johnston
Software Mentions: 2
Published: over 11 years ago
10.1080/14756366.2020.1838499
HT-SuMD: making molecular dynamics simulations suitable for fragment-based screening. A comparative study with NMR
Cited by: 9
Author(s): Francesca Ferrari, Maicol Bissaro, Simone Fabbian, Jessica de Almeida Roger, Stefano Mammi, Stefano Moro, Massimo Bellanda, Mattia Sturlese
Software Mentions: 2
Published: about 5 years ago
10.1371/journal.ppat.1009759
Altered microRNA expression in COVID-19 patients enables identification of SARS-CoV-2 infection
Cited by: 98
Author(s): Ryan J. Farr, Christina L. Rootes, Louise C. Rowntree, Thi H. O. Nguyen, Luca Hensen, Łukasz Kędzierski, Allen Cheng, Katherine Kedzierska, Gough G. Au, Glenn A. Marsh, Seshadri S. Vasan, Chwan Hong Foo, Christopher Cowled, Cameron R. Stewart
Software Mentions: 2
Published: over 4 years ago
10.1073/pnas.2008176117
Genomic determinants of pathogenicity in SARS-CoV-2 and other human coronaviruses
Cited by: 184
Author(s): Ayal B. Gussow, Noam Auslander, Guilhem Faure, Yuri I. Wolf, Feng Zhang, Eugene V. Koonin
Software Mentions: 2
Published: over 5 years ago
10.1038/s41598-021-95987-4
Predicting pediatric anxiety from the temporal pole using neural responses to emotional faces
Cited by: 3
Author(s): Jeffrey Sawalha, Muhammad Yousefnezhad, Alessandro Selvitella, Bo Cao, Andrew J. Greenshaw, Russell Greiner
Software Mentions: 2
Published: about 4 years ago
10.1038/s41598-021-96507-0
Machine learning assisted prediction of the Young’s modulus of compositionally complex alloys
Cited by: 29
Author(s): Hrishabh Khakurel, M. F. N. Taufique, Abhinaba Roy, Ganesh Balasubramanian, Gaoyuan Ouyang, Jun Cui, Duane D. Johnson, Ram Devanathan
Software Mentions: 2
Published: about 4 years ago
10.1038/s41598-021-96628-6
Novel metabolomic profile of subjects with non-classic apparent mineralocorticoid excess
Cited by: 7
Author(s): Alejandra Tapia-Castillo, Cristián A. Carvajal, Xaviera A. López-Cortés, Andrea Vecchiola, Carlos E. Fardella
Software Mentions: 2
Published: about 4 years ago
10.1038/s41598-021-97605-9
Mean heart dose-based normal tissue complication probability model for pericardial effusion: a study in oesophageal cancer patients
Cited by: 1
Author(s): Junichi Fukada, Kyohei Fukata, Naoyoshi Koike, R. Kota, Naoyuki Shigematsu
Software Mentions: 2
Published: about 4 years ago
10.1038/s41598-021-97965-2
Biomolecular simulation based machine learning models accurately predict sites of tolerability to the unnatural amino acid acridonylalanine
Cited by: 4
Author(s): Sam Giannakoulias, Sumant R. Shringari, John J. Ferrie, E. James Petersson
Software Mentions: 2
Published: about 4 years ago
10.1038/s41598-021-98277-1
A novel lncRNA–protein interaction prediction method based on deep forest with cascade forest structure
Cited by: 13
Author(s): Xiongfei Tian, Lei Shen, Zhenwu Wang, Liqian Zhou, Lihong Peng
Software Mentions: 2
Published: about 4 years ago
10.1038/s41598-021-97865-5
Prediction of blood supply in vestibular schwannomas using radiomics machine learning classifiers
Cited by: 8
Author(s): Dixiang Song, Yixuan Zhai, Tao Xue, Chao Zhao, Minkai Wang, Xinting Wei
Software Mentions: 2
Published: about 4 years ago
10.1080/14686996.2020.1791676
Materials informatics approach to understand aluminum alloys
Cited by: 11
Author(s): Ryo Tamura, Makoto Watanabe, Hiroaki Mamiya, Kota Washio, Masao Yano, Katsunori Danno, Akira Kato, Tetsuya Shoji
Software Mentions: 2
Published: almost 6 years ago
10.1007/978-3-030-59833-4_4
Semantic Annotation, Representation and Linking of Survey Data
Cited by: 0
Author(s): Felix Bensmann, Andrea Papenmeier, Dagmar Kern, Benjamin Zapilko, Stefan Dietze
Software Mentions: 2
Published: almost 6 years ago
10.3390/s16081311
Mining IP to Domain Name Interactions to Detect DNS Flood Attacks on Recursive DNS Servers
Cited by: 11
Author(s): Roberto Alonso, Raúl Monroy, Luis A. Trejo
Software Mentions: 2
Published: about 9 years ago
10.3390/s16091510
Using Crowdsourced Trajectories for Automated OSM Data Entry Approach
Cited by: 19
Author(s): Anahid Basiri, Pouria Amirian, Peter Mooney
Software Mentions: 2
Published: about 9 years ago
10.3390/s17112557
Super-Resolution of Plant Disease Images for the Acceleration of Image-based Phenotyping and Vigor Diagnosis in Agriculture
Cited by: 76
Author(s): Kyosuke Yamamoto, Takashi Togami, Norio Yamaguchi
Software Mentions: 2
Published: about 8 years ago
10.3390/s18010014
Automating the Timed Up and Go Test Using a Depth Camera
Cited by: 16
Author(s): Amandine Dubois, Titus Bihl, Jean‐Pierre Bresciani
Software Mentions: 2
Published: almost 8 years ago
10.3390/s18020623
Personalized Physical Activity Coaching: A Machine Learning Approach
Cited by: 48
Author(s): Talko Dijkhuis, Frank Blaauw, Miriam W. van Ittersum, Hugo Velthuijsen, Marco Aiello
Software Mentions: 2
Published: over 7 years ago
10.3390/s18041055
Divide and Conquer-Based 1D CNN Human Activity Recognition Using Test Data Sharpening
Cited by: 106
Author(s): Heeryon Cho, Sang Min Yoon
Software Mentions: 2
Published: over 7 years ago
10.3390/s18092833
Artificial-Intelligence-Based Prediction of Clinical Events among Hemodialysis Patients Using Non-Contact Sensor Data
Cited by: 21
Author(s): Saurabh Thakur, Shabbir Syed-Abdul, Hsin–Hui Chiu, Ram Babu Roy, Po Yu Huang, Shwetambara Malwade, Aldilas Achmad Nursetyo, Yu-Chuan Li
Software Mentions: 2
Published: about 7 years ago
10.3390/s18113933
Protection of Superconducting Industrial Machinery Using RNN-Based Anomaly Detection for Implementation in Smart Sensor
Cited by: 11
Author(s): Maciej Wielgosz, Andrzej Skoczeń, Ernesto De Matteis
Software Mentions: 2
Published: almost 7 years ago
10.3390/s19071598
Modern Virtual Fencing Application: Monitoring and Controlling Behavior of Goats Using GPS Collars and Warning Signals
Cited by: 13
Author(s): Azamjon Muminov, Daeyoung Na, Cheolwon Lee, Hyun Kyu Kang, Heung Seok Jeon
Software Mentions: 2
Published: over 6 years ago
10.3390/s19092145
Real-Time Drink Trigger Detection in Free-living Conditions Using Inertial Sensors
Cited by: 16
Author(s): Diana Gomes, Inês Sousa
Software Mentions: 2
Published: over 6 years ago
10.3390/s19092027
Tire–Pavement Contact-Aware Weight Estimation for Multi-Sensor WIM Systems
Cited by: 13
Author(s): Zhixin Jia, Kaiya Fu, Mengxiang Lin
Software Mentions: 2
Published: over 6 years ago
10.3390/s19112612
Can Tourist Attractions Boost Other Activities Around? A Data Analysis through Social Networks
Cited by: 8
Author(s): Alexander Bustamante, Laura Sebastiá, Eva Onaindía
Software Mentions: 2
Published: over 6 years ago
10.3390/s19122781
Real-Time Smart-Digital Stethoscope System for Heart Diseases Monitoring
Cited by: 90
Author(s): Muhammad E. H. Chowdhury, Amith Khandakar, Khawla Alzoubi, Samar Mansoor, Anas Tahir, Mamun Bin Ibne Reaz, Nasser Al‐Emadi
Software Mentions: 2
Published: over 6 years ago
10.3390/s19122803
Eating and Drinking Recognition in Free-Living Conditions for Triggering Smart Reminders
Cited by: 11
Author(s): Diana Gomes, João Mendes‐Moreira, Inês Sousa, Joana Silva
Software Mentions: 2
Published: over 6 years ago
10.3390/s19183903
Dimensionality Reduction and Subspace Clustering in Mixed Reality for Condition Monitoring of High-Dimensional Production Data
Cited by: 5
Author(s): Burkhard Hoppenstedt, Manfred Reichert, Klaus Kammerer, Thomas Probst, Winfried Schlee, Myra Spiliopoulou, Rüdiger Pryss
Software Mentions: 2
Published: about 6 years ago
10.3390/s19183904
Estimation of Arsenic Content in Soil Based on Laboratory and Field Reflectance Spectroscopy
Cited by: 25
Author(s): Lifei Wei, Yuan Zhang, Ming Quan Yu, Can Huang, Liqin Cao
Software Mentions: 2
Published: about 6 years ago
10.3390/s19194135
A Modular System for Detection, Tracking and Analysis of Human Faces in Thermal Infrared Recordings
Cited by: 15
Author(s): Marcin Kopaczka, Lukas Breuer, Justus Schock, Dorit Merhof
Software Mentions: 2
Published: about 6 years ago
10.3390/s19194348
Machine Learning for LTE Energy Detection Performance Improvement
Cited by: 12
Author(s): Małgorzata Wasilewska, Hanna Bogucka
Software Mentions: 2
Published: about 6 years ago
10.3390/s19204411
Animal Movement Prediction Based on Predictive Recurrent Neural Network
Cited by: 14
Author(s): Jehyeok Rew, Sung Woo Park, Yongjang Cho, Su-Young Jung, Eenjun Hwang
Software Mentions: 2
Published: about 6 years ago