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.2015.00115
Unsupervised invariance learning of transformation sequences in a model of object recognition yields selectivity for non-accidental properties
Cited by: 2
Author(s): Sarah Parker, T. Serre
Software Mentions: 1
Published: almost 11 years ago
10.1186/s12947-020-00219-w
A novel method of calculating stroke volume using point-of-care echocardiography
Cited by: 4
Author(s): Ehson Aligholizadeh, William Teeter, Rajan Patel, Peter Hu, Syeda Fatima, Shiming Yang, Gautam Ramani, Sami Safadi, Peter Olivieri, Thomas M. Scalea, Sarah B. Murthi
Software Mentions: 1
Published: about 6 years ago
10.3389/fendo.2021.635795
Machine Learning in Preoperative Prediction of Postoperative Immediate Remission of Histology-Positive Cushing’s Disease
Cited by: 7
Author(s): Wentai Zhang, Mengke Sun, Yanghua Fan, He Wang, Ming Feng, S. Kevin Zhou, Renzhi Wang
Software Mentions: 1
Published: over 5 years ago
10.1186/s40644-020-00374-3
Texture analysis of iodine maps and conventional images for k-nearest neighbor classification of benign and metastatic lung nodules
Cited by: 6
Author(s): Simon Lennartz, A. O. Mager, Nils Große Hokamp, Sebastian Schäfer, David Zopfs, David Maintz, Hans Christian Reinhardt, Roman K. Thomas, Liliana Caldeira, Thorsten Persigehl
Software Mentions: 1
Published: over 5 years ago
10.1186/s40644-019-0254-0
CT radiomic features for predicting resectability of oesophageal squamous cell carcinoma as given by feature analysis: a case control study
Cited by: 23
Author(s): Jing Ou, Rui Li, Rui Zeng, Changqiang Wu, Yong Chen, Tianwu Chen, Xiaoming Zhang, Lun Wu, Jiang Yu, Jiajun Yang, Jinming Cao, Shengjun Tang, Mengjie Tang, Jiani Hu
Software Mentions: 1
Published: almost 7 years ago
10.3389/fgene.2020.00768
DeepLRHE: A Deep Convolutional Neural Network Framework to Evaluate the Risk of Lung Cancer Recurrence and Metastasis From Histopathology Images
Cited by: 25
Author(s): Zhijun Wu, Lin Wang, Churong Li, Yongcong Cai, Yuebin Liang, Xiaofei Mo, Qingqing Lu, Dong Liu, Yonggang Liu
Software Mentions: 1
Published: about 6 years ago
10.3390/brainsci11081086
Neuroplasticity within and between Functional Brain Networks in Mental Training Based on Long-Term Meditation
Cited by: 7
Author(s): Roberto Guidotti, Cosimo Del Gratta, Mauro Gianni Perrucci, Gian Luca Romani, Antonino Raffone
Software Mentions: 1
Published: about 5 years ago
10.3390/brainsci10110784
Prediction of Suicide-Related Events by Analyzing Electronic Medical Records from PTSD Patients with Bipolar Disorder
Cited by: 4
Author(s): Peihao Fan, Xiaojiang Guo, Xiguang Qi, Mallika Matharu, Ravi Patel, Dara Sakolsky, Levent Kirisci, Jonathan C. Silverstein, Lirong Wang
Software Mentions: 1
Published: almost 6 years ago
10.1071/wf19023
Machine learning to predict final fire size at the time of ignition
Cited by: 25
Author(s): Shane R. Coffield, Casey A. Graff, Chongming Yang, Padhraic Smyth, Efi Foufoula‐Georgiou, James T. Randerson
Software Mentions: 1
Published: over 7 years ago
10.2196/16131
Descriptive Evaluation and Accuracy of a Mobile App to Assess Fall Risk in Seniors: Retrospective Case-Control Study
Cited by: 14
Author(s): Sophie Rabe, Arash Azhand, Wolfgang Pommer, Swantje Müller, Anika Steinert
Software Mentions: 1
Published: over 6 years ago
10.3390/brainsci9090212
Classification of Alzheimer’s Disease with and without Imagery Using Gradient Boosted Machines and ResNet-50
Cited by: 65
Author(s): Lawrence V. Fulton, Diane Dolezel, Jordan Harrop, Yan Yan, Christopher P. Fulton
Software Mentions: 1
Published: about 7 years ago
10.3389/fgene.2019.00018
Construction of Complex Features for Computational Predicting ncRNA-Protein Interaction
Cited by: 15
Author(s): Qigen Dai, Maozu Guo, Xiaodong Duan, Zhaogang Teng, Yueyue Fu
Software Mentions: 1
Published: over 7 years ago
10.3390/brainsci10010008
Emergence of the Affect from the Variation in the Whole-Brain Flow of Information
Cited by: 1
Author(s): Soheil Keshmiri, Masahiro Shiomi, Hiroshi Ishiguro
Software Mentions: 1
Published: over 6 years ago
10.3389/fgene.2019.00876
Graphical Workflow System for Modification Calling by Machine Learning of Reverse Transcription Signatures
Cited by: 10
Author(s): Lukas Schmidt, Stephan Werner, Thomas Kemmer, Stefan Niebler, Marco Kristen, Lilia Ayadi, Patrick Johé, Virginie Marchand, Tanja Schirmeister, Yuri Motorin, Andreas Hildebrandt, Bertil Schmidt, Mark Helm
Software Mentions: 1
Published: almost 7 years ago
10.3389/fgene.2019.01231
Predicting Endoplasmic Reticulum Resident Proteins Using Auto-Cross Covariance Transformation With a U-Shaped Residue Weight-Transfer Function
Cited by: 1
Author(s): Yang-Yang Miao, Wei Zhao, Guangping Li, Yang Gao, Pu-Feng Du
Software Mentions: 1
Published: over 6 years ago
10.3389/fgene.2020.00221
Computing Skin Cutaneous Melanoma Outcome From the HLA-Alleles and Clinical Characteristics
Cited by: 30
Author(s): Anjali Dhall, Sumeet Patiyal, Harpreet Kaur, Sherry Bhalla, Chakit Arora, Gajendra P. S. Raghava
Software Mentions: 1
Published: over 6 years ago
10.2196/27975
Digital Biomarkers of Symptom Burden Self-Reported by Perioperative Patients Undergoing Pancreatic Surgery: Prospective Longitudinal Study
Cited by: 13
Author(s): Carissa A. Low, Meng Li, Julio Vega, Krina C. Durica, Denzil Ferreira, Vernissia Tam, Melissa E. Hogg, Herbert J. Zeh, Afsaneh Doryab, Anind K. Dey
Software Mentions: 1
Published: over 5 years ago
10.3389/fgene.2019.01078
What Do Neighbors Tell About You: The Local Context of Cis-Regulatory Modules Complicates Prediction of Regulatory Variants
Cited by: 3
Author(s): Dmitry Penzar, Arsenii Zinkevich, Ilya E. Vorontsov, Vasily Sitnik, Alexander V. Favorov, Vsevolod J. Makeev, Ivan V. Kulakovskiy
Software Mentions: 1
Published: almost 7 years ago
10.1186/s40708-021-00129-1
A comparison of feature extraction methods for prediction of neuropsychological scores from functional connectivity data of stroke patients
Cited by: 8
Author(s): Federico Calesella, Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi
Software Mentions: 1
Published: over 5 years ago
10.3389/fnhum.2021.636414
Prediction of Freezing of Gait in Parkinson’s Disease Using a Random Forest Model Based on an Orthogonal Experimental Design: A Pilot Study
Cited by: 4
Author(s): Zhonelue Chen, Gen Li, Chao Gao, Yuyan Tan, Jun Li, Jin Zhao, Yun Ling, Xiaoliu Yu, Kang Ren, Shengdi Chen
Software Mentions: 1
Published: over 5 years ago
10.3389/fnhum.2020.609170
Neural and Genetic Bases for Human Ability Traits
Cited by: 3
Author(s): Camila Bonin Pinto, Jannis Bielefeld, Rami Jabakhanji, Diane Reckziegel, James W. Griffith, A. Vania Apkarian
Software Mentions: 1
Published: over 5 years ago
10.3389/fnhum.2021.700627
Multimodal Prediction of Alzheimer's Disease Severity Level Based on Resting-State EEG and Structural MRI
Cited by: 3
Author(s): Belmir J. de Jesus, Raymundo Cassani, William J. McGeown, Marco Cecchi, K.C. Fadem, Tiago H. Falk
Software Mentions: 1
Published: almost 5 years ago
10.3389/fnhum.2018.00219
Congruency of Separable Affix Verb Combinations Is Linearly Indexed by the N400
Cited by: 2
Author(s): Jeff Hanna, Friedemann Pulvermüller
Software Mentions: 1
Published: over 8 years ago
10.1186/s40708-021-00125-5
Detecting depression using an ensemble classifier based on Quality of Life scales
Cited by: 25
Author(s): Xiaohui Tao, Oliver Chi, Patrick Delaney, Lin Li, Jiajin Huang
Software Mentions: 1
Published: over 5 years ago
10.3389/fnhum.2021.647839
An Open Source-Based BCI Application for Virtual World Tour and Its Usability Evaluation
Cited by: 3
Author(s): Sanghum Woo, Jongmin Lee, Hyunji Kim, Sungwoo Chun, Daehyung Lee, Daeun Gwon, Minkyu Ahn
Software Mentions: 1
Published: about 5 years ago
10.3389/fnhum.2018.00444
Music Familiarity Affects EEG Entrainment When Little Attention Is Paid
Cited by: 10
Author(s): Yoshinao Kumagai, Ryosuke Matsui, Toshihisa Tanaka
Software Mentions: 1
Published: almost 8 years ago
10.1007/s40708-017-0065-7
Machine learning–XGBoost analysis of language networks to classify patients with epilepsy
Cited by: 273
Author(s): Laurent Torlay, Marcela Perrone‐Bertolotti, Elizabeth Thomas, Monica Baciu
Software Mentions: 1
Published: over 9 years ago
10.3389/fnhum.2021.637071
Functional Network Alterations as Markers for Predicting the Treatment Outcome of Cathodal Transcranial Direct Current Stimulation in Focal Epilepsy
Cited by: 4
Author(s): Jiaxin Hao, Wenyi Luo, Yuhai Xie, Ying Feng, Wei Sun, Weifeng Peng, Jun Zhao, Pu-Ming Zhang, Jing Ding, Xin Wang
Software Mentions: 1
Published: over 5 years ago
10.3389/fnhum.2018.00105
Eye Movements During Everyday Behavior Predict Personality Traits
Cited by: 102
Author(s): Sabrina Hoppe, Tobias Loetscher, Stephanie A. Morey, Andreas Bulling
Software Mentions: 1
Published: over 8 years ago
10.3389/fnhum.2017.00015
A Non-parametric Approach to the Overall Estimate of Cognitive Load Using NIRS Time Series
Cited by: 18
Author(s): Soheil Keshmiri, Hidenobu Sumioka, Ryuji Yamazaki, Hiroshi Ishiguro
Software Mentions: 1
Published: over 9 years ago
10.3389/fnhum.2015.00358
Decoding covert shifts of attention induced by ambiguous visuospatial cues
Cited by: 13
Author(s): Romain Trachel, Maureen Clerc, Thomas Brochier
Software Mentions: 1
Published: about 11 years ago
10.3389/fnhum.2017.00622
Quantifying the Beauty of Words: A Neurocognitive Poetics Perspective
Cited by: 25
Author(s): Arthur Jacobs
Software Mentions: 1
Published: over 8 years ago
10.3389/fnhum.2020.00034
Predicting in vivo MRI Gradient-Field Induced Voltage Levels on Implanted Deep Brain Stimulation Systems Using Neural Networks
Cited by: 2
Author(s): M. Arcan Erturk, Eric Panken, Mary Carol Conroy, Jonathan Edmonson, Jeff Kramer, Jacob Chatterton, Subharthi Banerjee
Software Mentions: 1
Published: over 6 years ago
10.2196/cancer.9887
Analyzing Empowerment Processes Among Cancer Patients in an Online Community: A Text Mining Approach
Cited by: 17
Author(s): Suzan Verberne, Anika Batenburg, Remco Sanders, Mies van Eenbergen, Enny Das, Mattijs Lambooij
Software Mentions: 1
Published: over 7 years ago
10.3389/fimmu.2019.02454
Comparative Analysis of the CDR Loops of Antigen Receptors
Cited by: 30
Author(s): Wing Ki Wong, Jinwoo Leem, Charlotte Deane
Software Mentions: 1
Published: almost 7 years ago
10.3389/fimmu.2021.669357
Influence of HLA Class II Polymorphism on Predicted Cellular Immunity Against SARS-CoV-2 at the Population and Individual Level
Cited by: 6
Author(s): Hannah Charlotte Copley, Loren Gragert, Andrew R. Leach, Vasilis Kosmoliaptsis
Software Mentions: 1
Published: about 5 years ago
10.2196/23364
Using Wearable Activity Trackers to Predict Type 2 Diabetes: Machine Learning–Based Cross-sectional Study of the UK Biobank Accelerometer Cohort
Cited by: 10
Author(s): Benjamin Lam, Michael Catt, Sophie Cassidy, Jaume Bacardit, Philip Darke, Sam Butterfield, Ossama S. Alshabrawy, Michael I. Trenell, Paolo Missier
Software Mentions: 1
Published: over 5 years ago
10.3389/fimmu.2019.02080
T-Cell Receptor Cognate Target Prediction Based on Paired α and β Chain Sequence and Structural CDR Loop Similarities
Cited by: 37
Author(s): Esteban Lanzarotti, Paolo Marcatili, Morten Nielsen
Software Mentions: 1
Published: about 7 years ago
10.1007/s40708-016-0049-z
Brain response pattern identification of fMRI data using a particle swarm optimization-based approach
Cited by: 20
Author(s): Xinlong Ma, Chun An Chou, Hiroki Sayama, Wanpracha Art Chaovalitwongse
Software Mentions: 1
Published: over 10 years ago
10.1016/j.bonr.2021.101070
Detecting pathological features and predicting fracture risk from dual-energy X-ray absorptiometry images using deep learning
Cited by: 4
Author(s): Tomi Nissinen, Sanna Suoranta, Taavi Saavalainen, Reijo Sund, Ossi Hurskainen, Toni Rikkonen, Heikki Kröger, Timo Lähivaara, Sami P. Väänänen
Software Mentions: 1
Published: over 5 years ago
10.1016/j.bpj.2019.12.016
Molecular Insights from Conformational Ensembles via Machine Learning
Cited by: 61
Author(s): Oliver Fleetwood, Marina A. Kasimova, Annie M. Westerlund, Lucie Delemotte
Software Mentions: 1
Published: over 6 years ago
10.3389/fnint.2018.00054
The Varieties of the Psychedelic Experience: A Preliminary Study of the Association Between the Reported Subjective Effects and the Binding Affinity Profiles of Substituted Phenethylamines and Tryptamines
Cited by: 46
Author(s): Federico Zamberlán, Camila Sanz, Rocio Martínez Vivot, Carla Pallavicini, Fire Erowid, Earth Erowid, Enzo Tagliazucchi
Software Mentions: 1
Published: almost 8 years ago
10.3389/fmed.2019.00255
Open Practices and Resources for Collaborative Digital Pathology
Cited by: 10
Author(s): Raphaël Marée
Software Mentions: 1
Published: almost 7 years ago
10.3389/fmed.2021.658665
Analysis of the Impact of Medical Features and Risk Prediction of Acute Kidney Injury for Critical Patients Using Temporal Electronic Health Record Data With Attention-Based Neural Network
Cited by: 3
Author(s): Zhimeng Chen, Ming Chen, Xu Sun, Xieli Guo, Qiuna Li, Yinqiong Huang, Yuren Zhang, Lianwei Wu, Yu Liu, Jinting Xu, Yuming Fang, Xiahong Lin
Software Mentions: 1
Published: about 5 years ago
10.3389/fmed.2021.683431
Development and Validation of Predictors for the Survival of Patients With COVID-19 Based on Machine Learning
Cited by: 2
Author(s): Yongfeng Zhao, Qianjun Chen, Tao Liu, Ping Luo, Yi Zhou, Minghui Liu, Bei Xiong, Fuling Zhou
Software Mentions: 1
Published: almost 5 years ago
10.3389/fmicb.2020.623788
Rapid Microbial Quality Assessment of Chicken Liver Inoculated or Not With Salmonella Using FTIR Spectroscopy and Machine Learning
Cited by: 9
Author(s): Dimitra Dourou, Αθηνά Γρούντα, Anthoula A. Argyri, George Froutis, Panagiοtis Tsakanikas, Agapi I. Doulgeraki, Nikos Chorianopoulos, Chrysoula C. Tassou
Software Mentions: 1
Published: over 5 years ago
10.3389/fmicb.2019.02582
Fourier-Transform Infrared (FTIR) Spectroscopy for Typing of Clinical Enterobacter cloacae Complex Isolates
Cited by: 45
Author(s): Sophia Vogt, Kim Löffler, Ariane Dinkelacker, Birgit Bader, Ingo B. Autenrieth, Silke Peter, Jan Liese
Software Mentions: 1
Published: almost 7 years ago
10.2196/14340
Automatic Detection of Hypoglycemic Events From the Electronic Health Record Notes of Diabetes Patients: Empirical Study
Cited by: 16
Author(s): Yongdong Jin, Fĕi Li, Varsha G Vimalananda, Hong Yu
Software Mentions: 1
Published: almost 7 years ago
10.2196/26398
Current-Visit and Next-Visit Prediction for Fatty Liver Disease With a Large-Scale Dataset: Model Development and Performance Comparison
Cited by: 0
Author(s): Cheng-Tse Wu, Ta-Wei Chu, Jyh-Shing Roger Jang
Software Mentions: 1
Published: about 5 years ago
10.3389/fmicb.2018.00476
PVP-SVM: Sequence-Based Prediction of Phage Virion Proteins Using a Support Vector Machine
Cited by: 151
Author(s): Balachandran Manavalan, Tae Hwan Shin, Gwang Lee
Software Mentions: 1
Published: over 8 years ago
10.2196/24754
Diagnostic Classification and Prognostic Prediction Using Common Genetic Variants in Autism Spectrum Disorder: Genotype-Based Deep Learning
Cited by: 20
Author(s): Haishuai Wang, Paul Avillach
Software Mentions: 1
Published: over 5 years ago
10.3389/fmicb.2021.696921
Comparative Analysis of Machine Learning Algorithms on Surface Enhanced Raman Spectra of Clinical Staphylococcus Species
Cited by: 31
Author(s): Jia-Wei Tang, Qinghua Liu, Xiao-Cong Yin, Ya-Cheng Pan, Pengbo Wen, Xin Liu, Xingxing Kang, Bing Gu, Zuobin Zhu, Liang Wang
Software Mentions: 1
Published: about 5 years ago
10.3389/fmicb.2021.661132
Machine Learning for Predicting Mycotoxin Occurrence in Maize
Cited by: 10
Author(s): Marco Camardo Leggieri, Marco Mazzoni, Paola Battilani
Software Mentions: 1
Published: over 5 years ago
10.2196/14806
A Deep Learning Approach for Managing Medical Consumable Materials in Intensive Care Units via Convolutional Neural Networks: Technical Proof-of-Concept Study
Cited by: 7
Author(s): Arne Peine, Ahmed Hallawa, Oliver Schöffski, Guido Dartmann, Lejla Begic Fazlic, Anke Schmeink, Gernot Marx, Lukas Märtin
Software Mentions: 1
Published: almost 7 years ago
10.1016/j.bpj.2020.02.005
Interpretation of HDX Data by Maximum-Entropy Reweighting of Simulated Structural Ensembles
Cited by: 23
Author(s): Richard T. Bradshaw, Fabrizio Marinelli, José D. Faraldo‐Gómez, Lucy R. Forrest
Software Mentions: 1
Published: over 6 years ago
10.3389/fmolb.2019.00047
Machine Learning Classification Model for Functional Binding Modes of TEM-1 β-Lactamase
Cited by: 13
Author(s): Feng Wang, Li Shen, Haoming Zhou, Shouyi Wang, Xinlei Wang, Peng Tao
Software Mentions: 1
Published: about 7 years ago
10.3389/fmolb.2020.556481
Discovery of Potential Flavonoid Inhibitors Against COVID-19 3CL Proteinase Based on Virtual Screening Strategy
Cited by: 44
Author(s): Zhenbo Xu, Lixiang Yang, Xinghao Zhang, Qiling Zhang, Zhibin Ye, Yuanhao Liu, Shuang Wei, Wukun Liu
Software Mentions: 1
Published: almost 6 years ago
10.3389/fmolb.2021.704274
Reconstruction of Three-Dimensional Conformations of Bacterial ClpB from High-Speed Atomic-Force-Microscopy Images
Cited by: 7
Author(s): Bhaskar DasGupta, Osamu Miyashita, Takayuki Uchihashi, Florence Tama
Software Mentions: 1
Published: about 5 years ago
10.3389/fncir.2019.00038
Neural Correlates of Anesthesia in Newborn Mice and Humans
Cited by: 25
Author(s): Mattia Chini, Sabine Gretenkord, Johanna K. Kostka, Jastyn A. Pöpplau, Laura Cornelissen, Charles B. Berde, Ileana L. Hanganu‐Opatz, Sebastian H. Bitzenhofer
Software Mentions: 1
Published: over 7 years ago
10.3389/fnana.2021.643067
Deep Learning-Based Classification of GAD67-Positive Neurons Without the Immunosignal
Cited by: 6
Author(s): Kotaro Yamashiro, Jiayan Liu, Nobuyoshi Matsumoto, Yuji Ikegaya
Software Mentions: 1
Published: over 5 years ago
10.3389/fninf.2020.00006
Prediction of Pilot's Reaction Time Based on EEG Signals
Cited by: 17
Author(s): Bartosz Binias, Dariusz Myszor, Henryk Palus, Krzysztof A. Cyran
Software Mentions: 1
Published: over 6 years ago
10.3390/biom10101385
Assigning the Origin of Microbial Natural Products by Chemical Space Map and Machine Learning
Cited by: 15
Author(s): Alice Capecchi, Jean‐Louis Reymond
Software Mentions: 1
Published: almost 6 years ago
10.3390/biom11060870
Integrated Multi-Class Classification and Prediction of GPCR Allosteric Modulators by Machine Learning Intelligence
Cited by: 14
Author(s): Tianling Hou, Yuemin Bian, Terence F. McGuire, Xiang‐Qun Xie
Software Mentions: 1
Published: about 5 years ago
10.3389/fninf.2021.577451
Evaluation of Task fMRI Decoding With Deep Learning on a Small Sample Dataset
Cited by: 5
Author(s): Sunao Yotsutsuji, Miaomei Lei, Hiroyuki Akama
Software Mentions: 1
Published: over 5 years ago
10.3390/biom10121605
Analysis of Biological Screening Compounds with Single- or Multi-Target Activity via Diagnostic Machine Learning
Cited by: 13
Author(s): Christian Feldmann, Dimitar Yonchev, Jürgen Bajorath
Software Mentions: 1
Published: almost 6 years ago
10.3390/biom11091302
Revealing the Mutation Patterns of Drug-Resistant Reverse Transcriptase Variants of Human Immunodeficiency Virus through Proteochemometric Modeling
Cited by: 0
Author(s): Jingxuan Qiu, Xinxin Tian, Jiangru Liu, Yulong Qin, Jun‐Jie Zhu, Dongpo Xu, Tianyi Qiu
Software Mentions: 1
Published: about 5 years ago
10.3389/fninf.2018.00094
An Automated Pipeline for the Analysis of PET Data on the Cortical Surface
Cited by: 15
Author(s): Arnaud Marcoux, Ninon Burgos, Anne Bertrand, Marc Teichmann, Alexandre Routier, Junhao Wen, Jorge Samper‐Gonzàlez, Simona Bottani, Stanley Durrleman, Marie‐Odile Habert, Olivier Colliot
Software Mentions: 1
Published: over 7 years ago
10.3389/fninf.2018.00064
APPIAN: Automated Pipeline for PET Image Analysis
Cited by: 11
Author(s): Thomas Funck, Kevin Larcher, Paule-Joanne Toussaint, Alan C. Evans, Alexander Thiel
Software Mentions: 1
Published: almost 8 years ago
10.1155/2021/4351499
Radiomics Feature Analysis of Cartilage and Subchondral Bone in Differentiating Knees Predisposed to Posttraumatic Osteoarthritis after Anterior Cruciate Ligament Reconstruction from Healthy Knees
Cited by: 4
Author(s): Yuxue Xie, Yibo Dan, Hongyue Tao, Chenglong Wang, Chengxiu Zhang, Yida Wang, Jing Yang, Guang Yang, Shuang Chen
Software Mentions: 1
Published: almost 5 years ago
10.1155/2015/685067
Risk Factors for Emergency Department Short Time Readmission in Stratified Population
Cited by: 14
Author(s): Ariadna Besga, Borja Ayerdi, Guillermo Alcalde, Alberto Blázquez Manzano, Pedro Lopetegui, Manuel Graña, Ana González‐Pinto
Software Mentions: 1
Published: over 11 years ago
10.1155/2017/1826496
A Novel Phosphorylation Site-Kinase Network-Based Method for the Accurate Prediction of Kinase-Substrate Relationships
Cited by: 7
Author(s): Minghui Wang, Tao Wang, Binghua Wang, Yu Liu, Ao Li
Software Mentions: 1
Published: over 9 years ago
10.1155/2020/7297631
PredDBP-Stack: Prediction of DNA-Binding Proteins from HMM Profiles using a Stacked Ensemble Method
Cited by: 4
Author(s): Jun Wang, Huiwen Zheng, Yang Yang, Wanyue Xiao, Taigang Liu
Software Mentions: 1
Published: over 6 years ago
10.1155/2016/4354901
Identification of Hot Spots in Protein Structures Using Gaussian Network Model and Gaussian Naive Bayes
Cited by: 8
Author(s): Zhang Hua, Tao Jiang, Guogen Shan
Software Mentions: 1
Published: over 10 years ago
10.2196/15980
Cohort Selection for Clinical Trials From Longitudinal Patient Records: Text Mining Approach
Cited by: 12
Author(s): Irena Spasić, Dominik Krzemiński, Padraig Corcoran, Alexander Balinsky
Software Mentions: 1
Published: almost 7 years ago
10.2196/16129
Precision Health–Enabled Machine Learning to Identify Need for Wraparound Social Services Using Patient- and Population-Level Data Sets: Algorithm Development and Validation
Cited by: 11
Author(s): Suranga Nath Kasthurirathne, Shaun J. Grannis, Paul K. Halverson, Justin Morea, Nir Menachemi, Joshua R. Vest
Software Mentions: 1
Published: about 6 years ago
10.3389/fneur.2021.613967
Diagnostic Performance of MRI Volumetry in Epilepsy Patients With Hippocampal Sclerosis Supported Through a Random Forest Automatic Classification Algorithm
Cited by: 8
Author(s): Juan Pablo Princich, Patricio Andrés Donnelly-Kehoe, Alvaro Deleglise, Mariana Nahir Vallejo-Azar, Guido Orlando Pascariello, Pablo Seoane, Jose Gabriel Veron Do Santos, Santiago Collavini, Alejandro Nasimbera, Silvia Kochen
Software Mentions: 1
Published: over 5 years ago
10.3389/fneur.2020.548305
Distinguishing Focal Cortical Dysplasia From Glioneuronal Tumors in Patients With Epilepsy by Machine Learning
Cited by: 6
Author(s): Yi Guo, Yushan Liu, Wenjie Ming, Zhongjin Wang, Junming Zhu, Chen Yang, Lijun Yao, Meiping Ding, Chun‐Hong Shen
Software Mentions: 1
Published: almost 6 years ago
10.3389/fneur.2021.653483
The Subarachnoid Hemorrhage–Weather Myth: A Long-Term Big Data and Deep Learning Analysis
Cited by: 1
Author(s): Moritz Helsper, Aashish Agarwal, Ahmet Aker, Annika Herten, Marvin Darkwah-Oppong, Oliver Gembruch, Cornelius Deuschl, Michael Forsting, Philipp Dammann, Daniela Pierscianek, Ramazan Jabbarli, Ulrich Sure, Karsten H. Wrede
Software Mentions: 1
Published: over 5 years ago
10.3389/fneur.2020.538052
Prediction of Clinical Outcome at Discharge After Rupture of Anterior Communicating Artery Aneurysm Using the Random Forest Technique
Cited by: 8
Author(s): Nengzhi Xia, Jie Chen, Chenyi Zhan, Xiaoyang Jia, Yingying Xiang, Yongchun Chen, Yuxia Duan, Lan Li, Boli Lin, Chao Chen, Bing Zhao, Xiaoyu Chen, Yunjun Yang, Jinjin Liu
Software Mentions: 1
Published: almost 6 years ago
10.3389/fneur.2018.00975
Identification of Mild Cognitive Impairment From Speech in Swedish Using Deep Sequential Neural Networks
Cited by: 35
Author(s): Charalambos Themistocleous, Marie Eckerström, Dimitrios Kokkinakis
Software Mentions: 1
Published: almost 8 years ago
10.3389/fneur.2019.01173
Quantifying the Metabolic Signature of Multiple Sclerosis by in vivo Proton Magnetic Resonance Spectroscopy: Current Challenges and Future Outlook in the Translation From Proton Signal to Diagnostic Biomarker
Cited by: 35
Author(s): Kelley M. Swanberg, Karl Landheer, David Pitt, Christoph Juchem
Software Mentions: 1
Published: almost 7 years ago
10.2196/22649
Detecting Miscoded Diabetes Diagnosis Codes in Electronic Health Records for Quality Improvement: Temporal Deep Learning Approach
Cited by: 4
Author(s): Sina Rashidian, Kayley Abell-Hart, Janos Hajagos, Richard A. Moffitt, Veena Lingam, Víctor García, Chao-Wei Tsai, Fusheng Wang, Xinyu Dong, Siao Sun, Jianyuan Deng, Rajarsi Gupta, Joshua D. Miller, Joel Saltz, Mary Saltz
Software Mentions: 1
Published: over 5 years ago
10.1186/s12938-019-0639-0
Comparing classification techniques for identification of grasped objects
Cited by: 5
Author(s): Daniel Nogueira, Paulo Abreu, Maria Teresa Restivo
Software Mentions: 1
Published: over 7 years ago
10.3389/fnbot.2021.704226
A Novel sEMG-Based Gait Phase-Kinematics-Coupled Predictor and Its Interaction With Exoskeletons
Cited by: 3
Author(s): Baichun Wei, Zhen Ding, Chunzhi Yi, Hao Guo, Zhipeng Wang, Jianfei Zhu, Feng Jiang
Software Mentions: 1
Published: about 5 years ago
10.3389/fnbot.2021.659311
Toward More Robust Hand Gesture Recognition on EIT Data
Cited by: 5
Author(s): David P. Leins, Christian Gibas, Rainer Brück, Robert Haschke
Software Mentions: 1
Published: about 5 years ago
10.1186/s12938-021-00869-5
Decomposition of high-frequency electrical conductivity into extracellular and intracellular compartments based on two-compartment model using low-to-high multi-b diffusion MRI
Cited by: 3
Author(s): Mun Bae Lee, Hyung Joong Kim, Oh In Kwon
Software Mentions: 1
Published: over 5 years ago
10.2196/22661
Identification of Adverse Drug Event–Related Japanese Articles: Natural Language Processing Analysis
Cited by: 9
Author(s): Shogo Ujiie, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki
Software Mentions: 1
Published: almost 6 years ago
10.3389/fnins.2021.697870
Autism Spectrum Disorder Studies Using fMRI Data and Machine Learning: A Review
Cited by: 19
Author(s): Meijie Liu, Baojuan Li, Dewen Hu
Software Mentions: 1
Published: almost 5 years ago
10.3389/fnins.2021.611962
Adaptive Filtering for Improved EEG-Based Mental Workload Assessment of Ambulant Users
Cited by: 19
Author(s): Olivier Rosanne, Isabela Albuquerque, Raymundo Cassani, Jean‐François Gagnon, Sébastien Tremblay, Tiago H. Falk
Software Mentions: 1
Published: over 5 years ago
10.3389/fnins.2021.669595
Predicting Brain Amyloid Using Multivariate Morphometry Statistics, Sparse Coding, and Correntropy: Validation in 1,101 Individuals From the ADNI and OASIS Databases
Cited by: 13
Author(s): Jianfeng Wu, Qunxi Dong, Jie Gui, Jie Zhang, Yi Su, Kewei Chen, Paul M. Thompson, Richard J. Caselli, Eric M. Reiman, Jieping Ye, Yalin Wang
Software Mentions: 1
Published: about 5 years ago
10.3389/fnins.2019.01023
Investigating the Effects of Mechanical Stimulation on Retinal Ganglion Cell Spontaneous Spiking Activity
Cited by: 10
Author(s): Marica Marrese, Davide Lonardoni, Fabio Boi, Hedde van Hoorn, Alessandro Maccione, Stefano Zordan, Davide Iannuzzi, Luca Berdondini
Software Mentions: 1
Published: almost 7 years ago
10.3389/fnins.2015.00328
Identification of resilient individuals and those at risk for performance deficits under stress
Cited by: 17
Author(s): Brent Winslow, Meredith Carroll, Jonathan W. Martin, Glenn Surpris, George L. Chadderdon
Software Mentions: 1
Published: almost 11 years ago
10.3389/fnins.2014.00167
Which fMRI clustering gives good brain parcellations?
Cited by: 248
Author(s): Bertrand Thirion, Gaël Varoquaux, Elvis Dohmatob, Jean‐Baptiste Poline
Software Mentions: 1
Published: about 12 years ago
10.3389/fnins.2020.00593
EEG Channel-Selection Method for Epileptic-Seizure Classification Based on Multi-Objective Optimization
Cited by: 45
Author(s): Luis Alfredo Moctezuma, Marta Molinas
Software Mentions: 1
Published: about 6 years ago
10.3389/fnins.2021.661504
Multiparametric MRI for Characterization of the Basal Ganglia and the Midbrain
Cited by: 4
Author(s): Till Schneider, Jackie Ma, Patrick Wagner, Nicolas G.R. Behl, Armin M. Nagel, Mark E. Ladd, Sabine Heiland, Martin Bendszus
Software Mentions: 1
Published: about 5 years ago
10.3389/fnins.2021.664490
Imaging Time Series of Eye Tracking Data to Classify Attentional States
Cited by: 7
Author(s): Lisa-Marie Vortmann, Jannes Knychalla, Sonja Annerer‐Walcher, Mathias Benedek, Felix Putze
Software Mentions: 1
Published: over 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 Study
Cited 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: almost 7 years ago
10.3389/fnins.2018.00038
Multivariate Classification of Major Depressive Disorder Using the Effective Connectivity and Functional Connectivity
Cited by: 45
Author(s): Xiang-Fei Geng, Junhai Xu, Baolin Liu, Yonggang Shi
Software Mentions: 1
Published: over 8 years ago
10.3390/biology9110365
Amino Acid k-mer Feature Extraction for Quantitative Antimicrobial Resistance (AMR) Prediction by Machine Learning and Model Interpretation for Biological Insights
Cited by: 20
Author(s): Taha ValizadehAslani, Zhengqiao Zhao, Bahrad A. Sokhansanj, Gail Rosen
Software Mentions: 1
Published: almost 6 years ago
10.3389/fnins.2020.588357
Hyperscanning EEG and Classification Based on Riemannian Geometry for Festive and Violent Mental State Discrimination
Cited by: 5
Author(s): Cédric Simar, Ana Maria Cebolla, Gaëlle Chartier, Mathieu Petieau, Gianluca Bontempi, Alain Berthoz, Guy Chéron
Software Mentions: 1
Published: over 5 years ago