Projects: pypi: scikit-learn

https://packages.ecosyste.ms/registries/pypi.org/packages/scikit-learn

A set of python modules for machine learning and data mining
72 versions
Latest release: almost 3 years ago
5,918 dependent packages
43,777,417 downloads last month

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

10.3389/fncom.2020.580632
DNNBrain: A Unifying Toolbox for Mapping Deep Neural Networks and Brains
Cited by: 11
Author(s): Xiayu Chen, Ming Zhou, Zhengxin Gong, Wei Xu, Xingyu Liu, Taicheng Huang, Zonglei Zhen, Jia Liu
Software Mentions: 4
Published: almost 6 years ago
10.3389/fncom.2018.00056
Modern Machine Learning as a Benchmark for Fitting Neural Responses
Cited by: 52
Author(s): Ari S. Benjamin, Hugo L. Fernandes, Tucker Tomlinson, Pavan Ramkumar, Chris VerSteeg, Raeed H. Chowdhury, Lee E. Miller, Konrad Kording
Software Mentions: 4
Published: about 8 years ago
10.1371/journal.pbio.3001306
Dynamic landscape of protein occupancy across the Escherichia coli chromosome
Cited by: 18
Author(s): Peter L. Freddolino, Haley M. Amemiya, Thomas J. Goss, Saeed Tavazoie
Software Mentions: 4
Published: over 5 years ago
10.1186/s12859-019-2680-1
Probabilistic ancestry maps: a method to assess and visualize population substructures in genetics
Cited by: 19
Author(s): Héléna A. Gaspar, Gerome Breen
Software Mentions: 4
Published: over 7 years ago
10.7150/thno.55676
A panel of selected serum protein biomarkers for the detection of aggressive prostate cancer
Cited by: 12
Author(s): Jin Song, Shiyong Ma, Lori J. Sokoll, Rodrigo Vargas Eguez, Naseruddin Höti, Hui Zhang, Phaedre Mohr, Renu Dua, Dattatraya Patil, Kristen Douglas May, Sierra Williams, Rebecca S. Arnold, Martin G. Sanda, Daniel W. Chan, Zhen Zhang
Software Mentions: 4
Published: almost 6 years ago
10.1186/1752-0509-7-S6-S16
Active enhancer positions can be accurately predicted from chromatin marks and collective sequence motif data
Cited by: 14
Author(s): Agnieszka Podsiadło, Mariusz Wrzesień, Wiesław Paja, Witold R. Rudnicki, Bartek Wilczyński
Software Mentions: 4
Published: almost 13 years ago
10.3390/diagnostics11050738
Automated CT Lung Density Analysis of Viral Pneumonia and Healthy Lungs Using Deep Learning-Based Segmentation, Histograms and HU Thresholds
Cited by: 8
Author(s): Andrej Romanov, Michael Bach, Shan Yang, Fabian Franzeck, Gregor Sommer, Constantin Anastasopoulos, Jens Bremerich, Bram Stieltjes, Thomas Weikert, Alexander Sauter
Software Mentions: 4
Published: over 5 years ago
10.34133/2020/5839856
“Macrobot”: An Automated Segmentation-Based System for Powdery Mildew Disease Quantification
Cited by: 15
Author(s): Stefanie Lück, Marc Strickert, Maximilian Lorbeer, Friedrich Melchert, Andreas Backhaus, David Kilias, Udo Seiffert, Dimitar Douchkov
Software Mentions: 4
Published: almost 7 years ago
10.1371/journal.pcbi.1009014
Galaxy-ML: An accessible, reproducible, and scalable machine learning toolkit for biomedicine
Cited by: 8
Author(s): Qiang Gu, Anup Kumar, Simon Bray, Allison Creason, Alireza Khanteymoori, Vahid Jalili, Björn Grüning, Jeremy Goecks
Software Mentions: 4
Published: over 5 years ago
10.3389/fgene.2019.01182
Graph Embedding Deep Learning Guides Microbial Biomarkers' Identification
Cited by: 19
Author(s): Qiang Zhu, Xingpeng Jiang, Qing Zhu, Min Pan, Tingting He
Software Mentions: 4
Published: almost 7 years ago
10.3389/fncel.2021.668230
Impaired Adaptation and Laminar Processing of the Oddball Paradigm in the Primary Visual Cortex of Fmr1 KO Mouse
Cited by: 4
Author(s): Alexandr Pak, Samuel T. Kissinger, Alexander A. Chubykin
Software Mentions: 4
Published: over 5 years ago
10.3390/s21134546
Diagnostic of Operation Conditions and Sensor Faults Using Machine Learning in Sucker-Rod Pumping Wells
Cited by: 6
Author(s): João Nascimento, André Laurindo Maitelli, C. W. S. P. Maitelli, Anderson Luiz de Oliveira Cavalcanti
Software Mentions: 4
Published: over 5 years ago
10.1371/journal.pmed.1002683
Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study
Cited by: 809
Author(s): John R. Zech, Marcus A. Badgeley, Manway Liu, Anthony Costa, J. Titano, Eric K. Oermann
Software Mentions: 4
Published: almost 8 years ago
10.3390/s21186020
Biometric Identification Based on Eye Movement Dynamic Features
Cited by: 3
Author(s): Katarzyna Harężlak, Michal Blasiak, Paweł Kasprowski
Software Mentions: 4
Published: about 5 years ago
10.1016/j.cels.2019.11.006
Guiding the Refinement of Biochemical Knowledgebases with Ensembles of Metabolic Networks and Machine Learning
Cited by: 44
Author(s): Gregory L. Medlock, Jason A. Papin
Software Mentions: 4
Published: almost 7 years ago
10.3390/s21124172
Uplink vs. Downlink: Machine Learning-Based Quality Prediction for HTTP Adaptive Video Streaming
Cited by: 7
Author(s): Frank Loh, Fabian Poignée, Florian Wamser, Ferdinand Leidinger, Tobias Hoßfeld
Software Mentions: 4
Published: over 5 years ago
10.1093/scan/nsaa141
HyPyP: a Hyperscanning Python Pipeline for inter-brain connectivity analysis
Cited by: 38
Author(s): Anaël Ayrolles, Florence Brun, Yi‐Ping Phoebe Chen, Amir Djalovski, Yann Beauxis, Richard Delorme, Thomas Bourgeron, Suzanne Dikker, Guillaume Dumas
Software Mentions: 4
Published: almost 6 years ago
10.3389/fimmu.2020.552596
Toward a Better Understanding of Bioassays for the Development of Biopharmaceuticals by Exploring the Structure-Antibody-Dependent Cellular Cytotoxicity Relationship in Human Primary Cells
Cited by: 2
Author(s): Sébastien Wieckowski, Cécile Avenal, Arturo V. Orjalo, Daniel Gygax, Florian Cymer
Software Mentions: 4
Published: almost 6 years ago
10.1186/s12870-021-03070-x
Natural variation in wild tomato trichomes; selecting metabolites that contribute to insect resistance using a random forest approach
Cited by: 13
Author(s): Ruy Kortbeek, Marc Galland, Aleksandra Muras, Frans van der Kloet, Bart André, Maurice Heilijgers, Sacha A. F. T. van Hijum, Michel A. Haring, Robert C. Schuurink, Petra Bleeker
Software Mentions: 4
Published: over 5 years ago
10.1186/s12870-014-0276-5
Populus tremula (European aspen) shows no evidence of sexual dimorphism
Cited by: 46
Author(s): Kathryn M. Robinson, Nicolas Delhomme, Niklas Mähler, Bastian Schiffthaler, Jenny Önskog, Benedicte Riber Albrectsen, Pär K. Ingvarsson, Torgeir R. Hvidsten, Stefan Jansson, Nathaniel R. Street
Software Mentions: 4
Published: almost 12 years ago
10.1371/journal.pcbi.1006520
Molecular characterization of breast and lung tumors by integration of multiple data types with functional sparse-factor analysis
Cited by: 13
Author(s): Tycho Bismeijer, Sander Canisius, Lodewyk Wessels
Software Mentions: 4
Published: almost 8 years ago
10.1371/journal.pcbi.1008914
WormPose: Image synthesis and convolutional networks for pose estimation in C. elegans
Cited by: 29
Author(s): Laetitia Hebert, Tosif Ahamed, Á. S. Costa, Liam O’Shaughnessy, Greg J. Stephens
Software Mentions: 4
Published: over 5 years ago
10.3389/fgene.2020.00513
Estimating Conformational Traits in Dairy Cattle With DeepAPS: A Two-Step Deep Learning Automated Phenotyping and Segmentation Approach
Cited by: 13
Author(s): Jessica Nye, Laura M. Zingaretti, Miguel Pérez‐Enciso
Software Mentions: 4
Published: over 6 years ago
10.3390/s21093204
Hand Gesture Recognition Using EGaIn-Silicone Soft Sensors
Cited by: 10
Author(s): Sungtae Shin, Han Ul Yoon, Byung Hoon Yoo
Software Mentions: 4
Published: over 5 years ago
10.1128/mSystems.00211-19
Identification of Primary Antimicrobial Resistance Drivers in Agricultural Nontyphoidal Salmonella enterica Serovars by Using Machine Learning
Cited by: 16
Author(s): Finlay Maguire, Muhammad Attiq Rehman, Catherine D. Carrillo, Moussa S. Diarra, Robert G. Beiko
Software Mentions: 4
Published: about 7 years ago
10.3390/ijms20194833
Skin Doctor: Machine Learning Models for Skin Sensitization Prediction that Provide Estimates and Indicators of Prediction Reliability
Cited by: 12
Author(s): Anke Wilm, Conrad Stork, Christoph Bauer, Andreas Schepky, Jochen Kühnl, Johannes Kirchmair
Software Mentions: 4
Published: about 7 years ago
10.1371/journal.pone.0246689
Can we detect conditioned variation in political speech? two kinds of discussion and types of conversation
Cited by: 2
Author(s): Sabina Sloman, Daniel M. Oppenheimer, Simon DeDeo
Software Mentions: 4
Published: over 5 years ago
10.1371/journal.pone.0222907
A comparison of machine learning algorithms for the surveillance of autism spectrum disorder
Cited by: 18
Author(s): Scott H. Lee, Matthew J. Maenner, Charles M. Heilig
Software Mentions: 4
Published: about 7 years ago
10.7554/eLife.19760
Compact and highly active next-generation libraries for CRISPR-mediated gene repression and activation
Cited by: 551
Author(s): Max A. Horlbeck, Luke A. Gilbert, Jacqueline E. Villalta, Brittany Susan Adamson, Ryan A. Pak, Yu‐Wen Chen, Alexander P. Fields, Chong Yon Park, Jacob E. Corn, Martin Kampmann, Jonathan S. Weissman
Software Mentions: 4
Published: about 10 years ago
10.1371/journal.pone.0241253
CaBagE: A Cas9-based Background Elimination strategy for targeted, long-read DNA sequencing
Cited by: 16
Author(s): Amelia D. Wallace, Thomas A Sasani, Jordan Swanier, Brooke L. Gates, Jeff Greenland, Brent S. Pedersen, Katherine E. Varley, Aaron R. Quinlan
Software Mentions: 4
Published: over 5 years ago
10.3389/fonc.2021.699789
Machine Learning-Based Analysis of Magnetic Resonance Radiomics for the Classification of Gliosarcoma and Glioblastoma
Cited by: 7
Author(s): Zenghui Qian, Lingling Zhang, Jie Hu, Shuguang Chen, Hongyan Chen, Huicong Shen, Fei Zheng, Yan-Nan Zang, Xuzhu Chen
Software Mentions: 4
Published: about 5 years ago
10.1371/journal.pone.0224143
Assessing reliability of intra-tumor heterogeneity estimates from single sample whole exome sequencing data
Cited by: 14
Author(s): J. Abecassis, Anne-Sophie Hamy, Cécile Laurent, Benjamin Sadacca, Hélène Bonsang-Kitzis, Fabien Reyal, Jean-Philippe Vert
Software Mentions: 4
Published: almost 7 years ago
10.7554/eLife.38173
CaImAn an open source tool for scalable calcium imaging data analysis
Cited by: 495
Author(s): Andrea Giovannucci, Johannes Friedrich, Pat Gunn, Jérémie Kalfon, Brandon Brown, S. A. Koay, Jiannis Taxidis, Farzaneh Najafi, Jeffrey Gauthier, Pengcheng Zhou, Baljit S. Khakh, David W. Tank, Dmitri B. Chklovskii, Eftychios A. Pnevmatikakis
Software Mentions: 4
Published: over 7 years ago
10.3389/fnins.2021.626723
Beta and Theta Oscillations Correlate With Subjective Time During Musical Improvisation in Ecological and Controlled Settings: A Single Subject Study
Cited by: 5
Author(s): Nicolas Farrugia, Alix Lamouroux, Christophe Rocher, Jules Bouvet, Giulia Lioi
Software Mentions: 4
Published: over 5 years ago
10.3390/s20092594
Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep Learning
Cited by: 21
Author(s): Delaram Jarchi, Javier Andreu-Pérez, Mehrin Kiani, Oldřich Vyšata, Jiří Kuchyňka, Aleš Procházka, Saeid Sanei
Software Mentions: 4
Published: over 6 years ago
10.2196/19069
Multidimensional Machine Learning Personalized Prognostic Model in an Early Invasive Breast Cancer Population-Based Cohort in China: Algorithm Validation Study
Cited by: 8
Author(s): Xiaorong Zhong, Ting Luo, Ling Deng, Pei Liu, Kejia Hu, Donghao Lü, Dan Zheng, Chunying Luo, Yuxin Xie, Jiayuan Li, Ping He, Tianjie Pu, Feng Ye, Hong Bu, Bo Fu, Hong Zheng
Software Mentions: 4
Published: almost 6 years ago
10.2196/17364
Predicting Breast Cancer in Chinese Women Using Machine Learning Techniques: Algorithm Development
Cited by: 25
Author(s): Can Hou, Xiaorong Zhong, Ping He, Bin Xu, Sha Diao, Yi Fang, Hong Zheng, Jiayuan Li
Software Mentions: 4
Published: over 6 years ago
10.1186/s13321-021-00513-3
Deep learning integration of molecular and interactome data for protein–compound interaction prediction
Cited by: 4
Author(s): Narumi Watanabe, Yuuto Ohnuki, Yasubumi Sakakibara
Software Mentions: 4
Published: over 5 years ago
10.3389/fnins.2017.00398
Machine Learning Approach for Classifying Multiple Sclerosis Courses by Combining Clinical Data with Lesion Loads and Magnetic Resonance Metabolic Features
Cited by: 45
Author(s): Adrian Ion-Mărgineanu, G. Kocevar, Claudio Stamile, Diana M. Sima, Françoise Durand‐Dubief, Sabine Van Huffel, Dominique Sappey-Marinier
Software Mentions: 4
Published: about 9 years ago
10.1186/s13321-018-0313-8
Chemlistem: chemical named entity recognition using recurrent neural networks
Cited by: 27
Author(s): Peter Corbett, John P. Boyle
Software Mentions: 4
Published: almost 8 years ago
10.7554/eLife.63377
DeepEthogram, a machine learning pipeline for supervised behavior classification from raw pixels
Cited by: 61
Author(s): James P Bohnslav, Nivanthika K Wimalasena, Kelsey J Clausing, Yu Dai, David A. Yarmolinsky, Tomás Cruz, Adam D Kashlan, M. Eugenia Chiappe, Lauren L. Orefice, Clifford J. Woolf, Christopher D. Harvey
Software Mentions: 4
Published: about 5 years ago
10.3390/ijerph181910438
COVID-19 Vaccine Hesitancy in the Month Following the Start of the Vaccination Process
Cited by: 25
Author(s): Liviu‐Adrian Cotfas, Camelia Delcea, Rareș Gherai
Software Mentions: 4
Published: about 5 years ago
10.7554/eLife.57023
Retrieval practice facilitates memory updating by enhancing and differentiating medial prefrontal cortex representations
Cited by: 14
Author(s): Zhifang Ye, Liang Shi, Anqi Li, Chuansheng Chen, Gui Xue
Software Mentions: 4
Published: over 6 years ago
10.1001/jamanetworkopen.2019.10399
Prevalence of Financial Considerations Documented in Primary Care Encounters as Identified by Natural Language Processing Methods
Cited by: 5
Author(s): Meliha Skaljic, Ihsaan Patel, Amelia M. Pellegrini, Víctor M. Castro, Roy H. Perlis, Deborah D. Gordon
Software Mentions: 4
Published: about 7 years ago
10.1109/tbdata.2020.3035935
COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical Literature
Cited by: 47
Author(s): Yifan Peng, Yuxing Tang, Sungwon Lee, Yingying Zhu, Ronald M. Summers, Zhiyong Lu
Software Mentions: 4
Published: over 5 years ago
10.1371/journal.pone.0249424
miRGTF-net: Integrative miRNA-gene-TF network analysis reveals key drivers of breast cancer recurrence
Cited by: 15
Author(s): Stepan Nersisyan, A. V. Galatenko, Vladimir Galatenko, M. Yu. Shkurnikov, Alexander G. Tonevitsky
Software Mentions: 4
Published: over 5 years ago
10.3389/fonc.2020.01065
Integrative Network Fusion: A Multi-Omics Approach in Molecular Profiling
Cited by: 28
Author(s): Marco Chierici, Nicole Bussola, Alessia Marcolini, Margherita Francescatto, Alessandro Zandonà, Lucia Trastulla, Claudio Agostinelli, Giuseppe Jurman, Cesare Furlanello
Software Mentions: 4
Published: over 6 years ago
10.3390/s20174771
Scan-Chain-Fault Diagnosis Using Regressions in Cryptographic Chips for Wireless Sensor Networks
Cited by: 4
Author(s): Hyun-Kyu Lim, Minho Cheong, Sungho Kang
Software Mentions: 4
Published: about 6 years ago
10.1371/journal.pone.0203839
Using wearable sensors to classify subject-specific running biomechanical gait patterns based on changes in environmental weather conditions
Cited by: 40
Author(s): Nizam Uddin Ahamed, Dylan Kobsar, Lauren C. Benson, Christian A. Clermont, Russell Kohrs, Sean T. Osis, Reed Ferber
Software Mentions: 4
Published: about 8 years ago
10.1371/journal.pone.0213245
Optimizing predictive performance of criminal recidivism models using registration data with binary and survival outcomes
Cited by: 14
Author(s): Nikolaj Tollenaar, P.G.M. van der Heijden
Software Mentions: 4
Published: over 7 years ago
10.1038/s41598-021-98423-9
Non-invasive diagnostic tool for Parkinson’s disease by sebum RNA profile with machine learning
Cited by: 11
Author(s): Yuya Uehara, Shinichi Ueno, Haruka Amano-Takeshige, Shuji Suzuki, Yoko Imamichi, Mitsuhisa Fujimaki, Noriyasu Ota, Takatoshi Murase, Tsukasa Inoue, Sachio Saiki, Nobutaka Hattori
Software Mentions: 4
Published: about 5 years ago
10.1038/s41598-021-98249-5
Psychological factors shaping public responses to COVID-19 digital contact tracing technologies in Germany
Cited by: 14
Author(s): Anastasia Kozyreva, Philipp Lorenz-Spreen, Stephan Lewandowsky, Paul Michael Garrett, Stefan M. Herzog, Thorsten Pachur, Ralph Hertwig
Software Mentions: 4
Published: about 5 years ago
10.3389/fonc.2021.694102
CEUS-Based Radiomics Can Show Changes in Protein Levels in Liver Metastases After Incomplete Thermal Ablation
Cited by: 5
Author(s): Haiwei Bao, Ting Chen, Jianjun Zhu, Haiyang Xie, Fen Chen
Software Mentions: 4
Published: about 5 years ago
10.3390/s20133645
OpCode-Level Function Call Graph Based Android Malware Classification Using Deep Learning
Cited by: 24
Author(s): Weina Niu, Rong Cao, Xiaosong Zhang, Kangyi Ding, Kaimeng Zhang, Ting Li
Software Mentions: 4
Published: over 6 years ago
10.3389/fonc.2020.00418
Comparison and Fusion of Deep Learning and Radiomics Features of Ground-Glass Nodules to Predict the Invasiveness Risk of Stage-I Lung Adenocarcinomas in CT Scan
Cited by: 36
Author(s): Xianwu Xia, Jing Gong, Hao Wen, Ting Yang, Yeqing Lin, Shengping Wang, Weijun Peng
Software Mentions: 4
Published: over 6 years ago
10.1021/acs.jctc.1c00159
Beyond Tripeptides Two-Step Active Machine Learning for Very Large Data sets
Cited by: 18
Author(s): Alexander van Teijlingen, Tell Tuttle
Software Mentions: 4
Published: over 5 years ago
10.1371/journal.pone.0240200
Development of a severity of disease score and classification model by machine learning for hospitalized COVID-19 patients
Cited by: 27
Author(s): Miguel Marcos, Moncef Belhassen‐García, Antonio Sánchez-Puente, Jesús Sampedro-Gómez, Raúl Azibeiro, P. Ignacio Dorado-Díaz, Edgard Marcano-Millán, Carolina García-Vidal, María-Teresa Moreiro-Barroso, Noelia Cubino-Bóveda, M. Ángeles Pérez-García, Beatriz Rodríguez‐Alonso, Daniel Encinas-Sánchez, Sonia Peña-Balbuena, Eduardo Sobejano-Fuertes, Sandra Inés, Cristina Carbonell, Miriam López-Parra, Fernanda Andrade-Meira, Amparo López‐Bernús, C. Lorenzo, Adela Carpio, David Polo-San-Ricardo, Miguel-Vicente Sánchez-Hernández, Rafael Borrás, Víctor Sagredo-Meneses, Pedro-Luis Sánchez, Àlex Soriano, José-Ángel Martín-Oterino
Software Mentions: 4
Published: over 5 years ago
10.3390/insects12020097
Anopheles gambiae Genome Conservation as a Resource for Rational Gene Drive Target Site Selection
Cited by: 8
Author(s): Nace Kranjc, Andrea Crisanti, Tony Nolan, Federica Bernardini
Software Mentions: 4
Published: over 5 years ago
10.1186/s40246-021-00357-w
Evaluation of low-pass genome sequencing in polygenic risk score calculation for Parkinson’s disease
Cited by: 2
Author(s): Sung-Jae Kim, Jong-Yeon Shin, Nak‐Jung Kwon, Chang-Uk Kim, Changhoon Kim, Chong Sik Lee, Jeong‐Sun Seo
Software Mentions: 4
Published: about 5 years ago
10.3389/fnbot.2019.00076
Hybrid Brain-Computer-Interfacing for Human-Compliant Robots: Inferring Continuous Subjective Ratings With Deep Regression
Cited by: 3
Author(s): Lukas Dominique Josef Fiederer, Martin A. Volker, Robin Tibor Schirrmeister, Wolfram Burgard, Joschka Boedecker, Tonio Ball
Software Mentions: 4
Published: almost 7 years ago
10.2196/mhealth.7820
Well-Being Tracking via Smartphone-Measured Activity and Sleep: Cohort Study
Cited by: 38
Author(s): Orianna DeMasi, Sidney Feygin, Aluma Dembo, Adrián Aguilera, Benjamin Recht
Software Mentions: 4
Published: about 9 years ago
10.1107/S2052252520000895
The predictive power of data-processing statistics
Cited by: 6
Author(s): M. Vollmar, James M. Parkhurst, Dominic Jaques, Arnaud Baslé, Garib N. Murshudov, David Waterman, Gwyndaf Evans
Software Mentions: 4
Published: over 6 years ago
10.7554/eLife.54082
Topology-driven protein-protein interaction network analysis detects genetic sub-networks regulating reproductive capacity
Cited by: 10
Author(s): Tarun Kumar, Leo Blondel, Cassandra G. Extavour
Software Mentions: 4
Published: about 6 years ago
10.1107/S2052252520008830
Machine learning deciphers structural features of RNA duplexes measured with solution X-ray scattering
Cited by: 11
Author(s): Yen-Lin Chen, Lois Pollack
Software Mentions: 4
Published: about 6 years ago
10.1007/s10278-017-9965-6
Toolkits and Libraries for Deep Learning
Cited by: 110
Author(s): Bradley J. Erickson, Panagiotis Korfiatis, Zeynettin Akkus, Timothy L. Kline, Kenneth A. Philbrick
Software Mentions: 4
Published: over 9 years ago
10.3389/fonc.2020.610513
Tumor Immune Microenvironment Characterization in Hepatocellular Carcinoma Identifies Four Prognostic and Immunotherapeutically Relevant Subclasses
Cited by: 15
Author(s): Xingxing Gao, Hechen Huang, Yübo Wang, Caixu Pan, Shengyong Yin, Lin Zhou, Shusen Zheng
Software Mentions: 4
Published: over 5 years ago
10.3390/s16060790
Data-Driven Design of Intelligent Wireless Networks: An Overview and Tutorial
Cited by: 49
Author(s): Merima Kulin, Carolina Fortuna, Eli De Poorter, Dirk Deschrijver, Ingrid Moerman
Software Mentions: 4
Published: over 10 years ago
10.7554/eLife.59780
On the objectivity, reliability, and validity of deep learning enabled bioimage analyses
Cited by: 25
Author(s): Dennis Segebarth, Matthias Griebel, Nikolai Stein, Cora R. von Collenberg, Corinna Martin, Dominik Fiedler, Lucas B. Comeras, Anupam Sah, Victoria Schoeffler, Teresa M. Lüffe, Alexander Dürr, Rohini Gupta, Manju Sasi, Christina Lillesaar, Maren D. Lange, Ramon Tasan, Nicolas Singewald, Hans‐Christian Pape, Christoph M. Flath, Robert Blum
Software Mentions: 4
Published: almost 6 years ago
10.3389/fphar.2021.708050
A Comparison of Nine Machine Learning Mutagenicity Models and Their Application for Predicting Pyrrolizidine Alkaloids
Cited by: 5
Author(s): Christoph Helma, Verena Schöning, Jürgen Drewe, Philipp Boss
Software Mentions: 4
Published: about 5 years ago
10.3390/s17010066
A Comparison Study of Classifier Algorithms for Cross-Person Physical Activity Recognition
Cited by: 29
Author(s): Yago Sáez, Alejandro Baldominos, Pedro Isasi
Software Mentions: 4
Published: almost 10 years ago
10.1155/2021/6668985
Deep Learning Approach for Discovery of In Silico Drugs for Combating COVID-19
Cited by: 20
Author(s): Nishant Jha, Deepak Prashar, Mamoon Rashid, Mohammad Shafiq, Razaullah Khan, Catalin I. Pruncu, Shams Tabrez Siddiqui, Manindra Kumar
Software Mentions: 4
Published: about 5 years ago
10.3390/s20092504
Hyperspectral Classification of Cyperus esculentus Clones and Morphologically Similar Weeds
Cited by: 9
Author(s): Marlies Lauwers, Benny De Cauwer, David Nuyttens, Simon Cool, Jan Pieters
Software Mentions: 4
Published: over 6 years ago
10.7554/eLife.63711
Standardized and reproducible measurement of decision-making in mice
Cited by: 72
Author(s): Valeria Aguillon-Rodriguez, Dora E. Angelaki, H Bayer, Niccolò Bonacchi, Matteo Carandini, Fanny Cazettes, Gaelle Chapuis, Anne K. Churchland, Yang Dan, Eric DeWitt, Mayo Faulkner, Hamish Forrest, Laura Haetzel, Michael Häusser, Sonja B. Hofer, Fei Hu, Anup Khanal, Christopher Krasniak, Inês Laranjeira, Zachary F. Mainen, Guido T. Meijer, Nathaniel J Miska, Thomas D. Mrsic-Flogel, Masayoshi Murakami, Jean‐Paul Noel, Alejandro Pan-Vazquez, Cyrille Rossant, Joshua I. Sanders, Karolina Socha, Rebecca Terry, Anne E Urai, Hernando Vergara, Miles J. Wells, Christian J. Wilson, Ilana B. Witten, Lauren E Wool, Anthony M. Zador
Software Mentions: 4
Published: over 5 years ago
10.3390/s19245370
Anomaly Detections for Manufacturing Systems Based on Sensor Data—Insights into Two Challenging Real-World Production Settings
Cited by: 35
Author(s): Klaus Kammerer, Burkhard Hoppenstedt, Rüdiger Pryss, Steffen Stökler, Johannes Allgaier, Manfred Reichert
Software Mentions: 4
Published: almost 7 years ago
10.1186/s13321-017-0243-x
eTOX ALLIES: an automated pipeLine for linear interaction energy-based simulations
Cited by: 7
Author(s): Luigi Capoferri, Marc van Dijk, Ariën S. Rustenburg, Tsjerk A. Wassenaar, Derk P. Kooi, Eko Aditya Rifai, Nico Vermeulen, Daan P. Geerke
Software Mentions: 3
Published: almost 9 years ago
10.3390/jcm10092030
A Multiparametric MRI-Based Radiomics Analysis to Efficiently Classify Tumor Subregions of Glioblastoma: A Pilot Study in Machine Learning
Cited by: 13
Author(s): Fang-Ying Chiu, Nguyen Quoc Khanh Le, Cheng-Yu Chen
Software Mentions: 3
Published: over 5 years ago
10.1017/cts.2020.531
Developing image analysis pipelines of whole-slide images: Pre- and post-processing
Cited by: 12
Author(s): Byron H. Smith, Meyke Hermsen, Elizabeth R. Lesser, Deepak Ravichandar, Walter K. Kremers
Software Mentions: 3
Published: about 6 years ago
10.3389/fninf.2013.00012
Toward open sharing of task-based fMRI data: the OpenfMRI project
Cited by: 277
Author(s): Russell A. Poldrack, M Deanna, James Mitchell, Tor D. Wager, Anthony D. Wagner, Joseph T. Devlin, Chad Cumba, Oluwasanmi Koyejo, Michael P. Milham
Software Mentions: 3
Published: almost 14 years ago
10.1007/s10827-015-0565-5
Reconstruction of recurrent synaptic connectivity of thousands of neurons from simulated spiking activity
Cited by: 41
Author(s): Yury V. Zaytsev, Abigail Morrison, Moritz Deger
Software Mentions: 3
Published: over 11 years ago
10.1007/s42001-020-00073-w
Estimation of socioeconomic attributes from location information
Cited by: 1
Author(s): Shohei Doi, Takayuki Mizuno, Naoya Fujiwara
Software Mentions: 3
Published: over 6 years ago
10.3389/fninf.2016.00049
Pyrcca: Regularized Kernel Canonical Correlation Analysis in Python and Its Applications to Neuroimaging
Cited by: 54
Author(s): Natalia Y. Bilenko, Jack L. Gallant
Software Mentions: 3
Published: almost 10 years ago
10.3390/polym12122949
Artificial Neural Networks-Based Material Parameter Identification for Numerical Simulations of Additively Manufactured Parts by Material Extrusion
Cited by: 20
Author(s): Paul Meißner, Hagen Watschke, Jens Winter, Thomas Vietor
Software Mentions: 3
Published: almost 6 years ago
10.1098/rsos.181806
Accurate wisdom of the crowd from unsupervised dimension reduction
Cited by: 1
Author(s): Lingfei Wang, Tom Michoel
Software Mentions: 3
Published: over 7 years ago
10.1038/s41598-021-95702-3
Geographic source estimation using airborne plant environmental DNA in dust
Cited by: 10
Author(s): Chelsea Lennartz, Joel Kurucar, Stephen Coppola, Janice Crager, Johanna Bobrow, Laura Bortolin, James C. Comolli
Software Mentions: 3
Published: about 5 years ago
10.1038/s41598-021-96674-0
Exploring deep learning capabilities for surge predictions in coastal areas
Cited by: 19
Author(s): Timothy Tiggeloven, Anaïs Couasnon, Chiem van Straaten, Sanne Muis, Philip J. Ward
Software Mentions: 3
Published: about 5 years ago
10.1038/s41598-021-97007-x
Delivery mode and perinatal antibiotics influence the predicted metabolic pathways of the gut microbiome
Cited by: 7
Author(s): Petri Vänni, Mysore V. Tejesvi, Sofia Ainonen, Marjo Renko, Katja Korpela, Jarmo A. Salo, Niko Paalanne, Terhi Tapiainen
Software Mentions: 3
Published: about 5 years ago
10.1038/s41598-021-97257-9
Microglial ASD-related genes are involved in oligodendrocyte differentiation
Cited by: 4
Author(s): Yuta Takanezawa, Shihori Tanabe, Daiki Kato, Rie Ozeki, Masayo Komoda, Tatsunori Suzuki, Hiroko Baba, Rieko Muramatsu
Software Mentions: 3
Published: about 5 years ago
10.3389/fneur.2020.578571
Cognitive Processing Impacts High Frequency Intracranial EEG Activity of Human Hippocampus in Patients With Pharmacoresistant Focal Epilepsy
Cited by: 5
Author(s): Jan Cimbálník, Martin Pail, Petr Klimeš, Vojtech Travnicek, Róbert Román, Adam Vajčner, Milan Brázdil
Software Mentions: 3
Published: almost 6 years ago
10.1038/s41598-021-98387-w
Predicting medication adherence using ensemble learning and deep learning models with large scale healthcare data
Cited by: 14
Author(s): Yingqi Gu, Akshay Zalkikar, Mingming Liu, Lara Kelly, Amy R. Hall, Kieran Daly, Tomás E. Ward
Software Mentions: 3
Published: about 5 years ago
10.1371/journal.pone.0113516
Breaking an Epigenetic Chromatin Switch: Curious Features of Hysteresis in Saccharomyces cerevisiae Telomeric Silencing
Cited by: 8
Author(s): Vijayalakshmi H. Nagaraj, Swagatam Mukhopadhyay, Adel Dayarian, Anirvan M. Sengupta
Software Mentions: 3
Published: almost 12 years ago
10.1371/journal.pone.0256858
A general method for estimating the prevalence of influenza-like-symptoms with Wikipedia data
Cited by: 3
Author(s): Giovanni De Toni, Cristian Consonni, Alberto Montresor
Software Mentions: 3
Published: about 5 years ago
10.3389/fnbot.2018.00086
DeepDynamicHand: A Deep Neural Architecture for Labeling Hand Manipulation Strategies in Video Sources Exploiting Temporal Information
Cited by: 3
Author(s): Visar Arapi, Cosimo Della Santina, Davide Bacciu, Matteo Bianchi, Antonio Bicchi
Software Mentions: 3
Published: almost 8 years ago
10.1371/journal.pone.0201264
Effective injury forecasting in soccer with GPS training data and machine learning
Cited by: 142
Author(s): Alessio Rossi, Luca Pappalardo, Paolo Cintia, F. Marcello Iaia, Javier Fernández, Daniel Medina
Software Mentions: 3
Published: about 8 years ago
10.3389/fnins.2021.691244
MRI Radiomic Signature of White Matter Hyperintensities Is Associated With Clinical Phenotypes
Cited by: 9
Author(s): Martin Bretzner, Anna K. Bonkhoff, Markus D. Schirmer, Sungmin Hong, Adrian V. Dalca, Kathleen Donahue, Anne‐Katrin Giese, Mark R. Etherton, Pamela M. Rist, Marco Nardin, Rǎzvan V. Marinescu, Clinton Wang, Robert W Regenhardt, Xavier Leclerc, Renaud Lopes, Oscar Benavente, John W. Cole, Amanda Donatti, Christoph J. Griessenauer, Laura Heitsch, Lukas Holmegaard, Katarina Jood, Jordi Jiménez‐Conde, Steven J. Kittner, Robin Lemmens, Christopher Levi, Patrick F. McArdle, Caitrin W. McDonough, James F. Meschia, Chia‐Ling Phuah, Arndt Rolfs, Stefan Ropele, Jonathan Rosand, Jaume Roquer, Tatjana Rundek, Ralph L. Sacco, Reinhold Schmidt, Pankaj Sharma, Agnieszka Słowik, Alessandro Sousa, Tara M. Stanne, Daniel Strbian, Turgut Tatlısumak, Vincent Thijs, Achala Vagal, Johan Wassélius, Daniel Woo, Ona Wu, Ramin Zand, Bradford B. Worrall, Jane Maguire, Arne Lindgren, Christina Jern, Polina Golland, Grégory Kuchcinski, Natalia S. Rost
Software Mentions: 3
Published: about 5 years ago
10.3390/s18082474
Detection of Talking in Respiratory Signals: A Feasibility Study Using Machine Learning and Wearable Textile-Based Sensors
Cited by: 21
Author(s): Andreas Ejupi, Carlo Menon
Software Mentions: 3
Published: about 8 years ago
10.3389/fnins.2019.01246
Whole-Brain Exploratory Analysis of Functional Task Response Following Erythropoietin Treatment in Mood Disorders: A Supervised Machine Learning Approach
Cited by: 2
Author(s): Signe Tellerup Nielsen, Kristoffer Hougaard Madsen, Maj Vinberg, Lars Vedel Kessing, Hartwig R. Siebner, Kamilla Woznica Miskowiak
Software Mentions: 3
Published: almost 7 years ago
10.1371/journal.pone.0234003
Inferring transportation mode from smartphone sensors: Evaluating the potential of Wi-Fi and Bluetooth
Cited by: 8
Author(s): Andreas Bjerre-Nielsen, Kelton Minor, Piotr Sapieżyński, Sune Lehmann, David Dreyer Lassen
Software Mentions: 3
Published: over 6 years ago
10.3390/s18113743
Characterizing Focused Attention and Working Memory Using EEG
Cited by: 35
Author(s): Zainab Mohamed, Mohamed El Halaby, Tamer Said, Doaa M. Shawky, Ashraf H. Badawi
Software Mentions: 3
Published: almost 8 years ago
10.3390/s18113779
Machine Learning Aided Scheme for Load Balancing in Dense IoT Networks
Cited by: 29
Author(s): César Gómez, Abdallah Shami, Xianbin Wang
Software Mentions: 3
Published: almost 8 years ago
10.1371/journal.pone.0245026
Estimating pulse wave velocity from the radial pressure wave using machine learning algorithms
Cited by: 17
Author(s): Wen Jin, Philip Chowienczyk, Jordi Alastruey
Software Mentions: 3
Published: over 5 years ago