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

10.1371/journal.pone.0252447
Thermographic imaging of mouse across circadian time reveals body surface temperature elevation associated with non-locomotor body movements
Cited by: 2
Author(s): Hiroyuki Shimatani, Yuichi Inoue, Yota Maekawa, Takahito Miyake, Yoshiaki Yamaguchi, Masao Doi
Software Mentions: 1
Published: over 5 years ago
10.1371/journal.pone.0218642
A machine learning algorithm predicts molecular subtypes in pancreatic ductal adenocarcinoma with differential response to gemcitabine-based versus FOLFIRINOX chemotherapy
Cited by: 48
Author(s): Georgios Kaissis, Sebastian Ziegelmayer, Fabian Lohöfer, Katja Steiger, Hana Algül, Alexander Muckenhuber, Hsi-Yu Yen, Ernst J. Rummeny, Helmut Frieß, Roland M. Schmid, Wilko Weichert, Jens T. Siveke, Rickmer Braren
Software Mentions: 1
Published: almost 7 years ago
10.1371/journal.pone.0252068
Statistical methods versus machine learning techniques for donor-recipient matching in liver transplantation
Cited by: 14
Author(s): David Guijo-Rubio, Javier Briceño, Pedro Antonio Gutiérrez, María Dolores Ayllón, Rubén Ciria, César Hervás-Martı́nez
Software Mentions: 1
Published: over 5 years ago
10.3390/cancers12123858
A Confidence Habitats Methodology in MR Quantitative Diffusion for the Classification of Neuroblastic Tumors
Cited by: 4
Author(s): L. Cerdá Alberich, C. Sangüesa Nebot, Ángel Alberich-Bayarri, José Miguel Carot Sierra, Blanca Martínez de las Heras, Diana Veiga‐Canuto, Adela Cañete, Luis Martí‐Bonmatí
Software Mentions: 1
Published: over 5 years ago
10.3390/cancers13102305
Biomarkers of Oncogenesis, Adipose Tissue Dysfunction and Systemic Inflammation for the Detection of Hepatocellular Carcinoma in Patients with Nonalcoholic Fatty Liver Disease
Cited by: 21
Author(s): Gian Paolo Caviglia, Angelo Armandi, Chiara Rosso, Silvia Gaia, Serena Aneli, Emanuela Rolle, Maria Lorena Abate, Antonella Olivero, Aurora Nicolosi, Marta Guariglia, Davide Giuseppe Ribaldone, P. Carucci, Giorgio Maria Saracco, Elisabetta Bugianesi
Software Mentions: 1
Published: over 5 years ago
10.3390/cancers12123721
Establishment of an Immunocompetent Metastasis Rat Model with Hepatocyte Cancer Stem Cells
Cited by: 2
Author(s): Semon Wu, I-Chieh Tseng, Wen Cheng Huang, Cheng-Wen Su, Yu‐Heng Lai, Che Lin, Alan Yueh‐Luen Lee, Chan‐Yen Kuo, Li Su, Ming‐Cheng Lee, Te-Cheng Hsu, Chun-Hsien Yu
Software Mentions: 1
Published: over 5 years ago
10.3390/cancers13164104
Blood-Based Multi-Cancer Detection Using a Novel Variant Calling Assay (DEEPGENTM): Early Clinical Results
Cited by: 6
Author(s): Frédéric Ris, Minia Hellan, Jonathan Douissard, Jorgé Nieva, Frédéric Triponez, Yanghee Woo, David Gourichon, Nicolas Buchs, Leo Hans Buehler, Stefan Paul Moenig, Christophe Iselin, Wolfram Karenovicŝ, Patrick Petignat, Giang Thanh Lam, Manuela Undurraga Malinervo, Rebecca Tuttle, James R. Ouellette, Debashish Bose, Nael Ismail, Christian Toso
Software Mentions: 1
Published: about 5 years ago
10.3390/cancers12071944
Machine Learning Approach to Forecast Chemotherapy-Induced Haematological Toxicities in Patients with Rhabdomyosarcoma
Cited by: 9
Author(s): V. Cuplov, Nicolas André
Software Mentions: 1
Published: about 6 years ago
10.3390/cancers13092190
Clinical Assay for the Early Detection of Colorectal Cancer Using Mass Spectrometric Wheat Germ Agglutinin Multiple Reaction Monitoring
Cited by: 8
Author(s): I-Jung Tsai, Emily Chia Yu Su, I‐Lin Tsai, Chun–Ming Lin
Software Mentions: 1
Published: over 5 years ago
10.1016/j.chom.2018.12.001
HIV-1 Neutralizing Antibody Signatures and Application to Epitope-Targeted Vaccine Design
Cited by: 113
Author(s): Christine A. Bricault, Karina Yusim, Michael S. Seaman, Hyejin Yoon, James Theiler, Elena E. Giorgi, Kshitij Wagh, Maxwell Theiler, Peter Hraber, Jennifer P. Macke, Edward F. Kreider, Gerald H. Learn, Beatrice H. Hahn, Johannes F. Scheid, Julie A. Kovacs, Jennifer L. Shields, Christy L. Lavine, Fadi Ghantous, Michael Rist, Madeleine Bayne, George H. Neubauer, Katherine McMahan, Hanqin Peng, Coraline Chéneau, Jennifer Jones, Jie Zeng, Christina Ochsenbauer, Joseph P. Nkolola, Kathryn E. Stephenson, Bing Chen, S. Gnanakaran, Mattia Bonsignori, LaTonya D. Williams, Barton F. Haynes, Nicole A. Doria‐Rose, John R. Mascola, David C. Montefiori, Dan H. Barouch, Bette Korber
Software Mentions: 1
Published: over 7 years ago
10.1039/c9sc02677k
A deep neural network model for packing density predictions and its application in the study of 1.5 million organic molecules
Cited by: 27
Author(s): Mohammad Atif Faiz Afzal, Aditya Sonpal, Mojtaba Haghighatlari, Andrew J. Schultz, Johannes Hachmann
Software Mentions: 1
Published: over 7 years ago
10.1039/c8sc04175j
Learning continuous and data-driven molecular descriptors by translating equivalent chemical representations
Cited by: 280
Author(s): Robin Winter, Floriane Montanari, Frank Noé, Djork-Arné Clevert
Software Mentions: 1
Published: over 7 years ago
10.1039/d1sc01713f
Machine learning designs non-hemolytic antimicrobial peptides
Cited by: 40
Author(s): Alice Capecchi, Xingguang Cai, Hippolyte Personne, Thilo Köhler, Christian van Delden, Jean‐Louis Reymond
Software Mentions: 1
Published: over 5 years ago
10.1039/d0sc04235h
Data enhanced Hammett-equation: reaction barriers in chemical space
Cited by: 23
Author(s): Marco Bragato, Guido Falk von Rudorff, O. Anatole von Lilienfeld
Software Mentions: 1
Published: over 6 years ago
10.1039/d1sc02150h
Combining machine learning and high-throughput experimentation to discover photocatalytically active organic molecules
Cited by: 40
Author(s): Xiaobo Li, Phillip M. Maffettone, Yu Che, Tao Liu, Linjiang Chen, Andrew I. Cooper
Software Mentions: 1
Published: over 5 years ago
10.1039/d0sc03287e
Understanding the geometric diversity of inorganic and hybrid frameworks through structural coarse-graining
Cited by: 11
Author(s): Thomas C. Nicholas, Andrew L. Goodwin, Volker L. Deringer
Software Mentions: 1
Published: over 6 years ago
10.1039/c9sc04944d
Datasets and their influence on the development of computer assisted synthesis planning tools in the pharmaceutical domain
Cited by: 66
Author(s): Amol Thakkar, Thierry Kogej, Jean‐Louis Reymond, Ola Engkvist, Esben Jannik Bjerrum
Software Mentions: 1
Published: over 6 years ago
10.1161/CIRCOUTCOMES.118.005122
Privacy-Preserving Generative Deep Neural Networks Support Clinical Data Sharing
Cited by: 171
Author(s): Brett K. Beaulieu‐Jones, Zhiwei Steven Wu, Charles E. Williams, Ran Lee, Sanjeev P. Bhavnani, James Brian Byrd, Casey S. Greene
Software Mentions: 1
Published: about 7 years ago
10.1007/s11571-019-09543-y
A hybrid model for EEG-based gender recognition
Cited by: 24
Author(s): Ping Wang, Jianfeng Hu
Software Mentions: 1
Published: about 7 years ago
10.1038/s42003-021-02393-7
Systems biology informed neural networks (SBINN) predict response and novel combinations for PD-1 checkpoint blockade
Cited by: 6
Author(s): Michelle Przedborski, Munisha Smalley, Saravanan Thiyagarajan, Aaron Goldman, Mohammad Kohandel
Software Mentions: 1
Published: about 5 years ago
10.1038/s42003-019-0456-9
GECKO is a genetic algorithm to classify and explore high throughput sequencing data
Cited by: 16
Author(s): Aubin Thomas, Sylvain Barriere, Lucile Broseus, Julie Brooke, Claudio Lorenzi, Jean-Philippe Villemin, Grégory Beurier, Robert Sabatier, Christelle Reynès, Alban Mancheron, William Ritchie
Software Mentions: 1
Published: about 7 years ago
10.1038/s42003-021-01709-x
HDXmodeller: an online webserver for high-resolution HDX-MS with auto-validation
Cited by: 8
Author(s): Ramin Ekhteiari Salmas, Antoni J. Borysik
Software Mentions: 1
Published: over 5 years ago
10.1007/s40747-021-00371-4
O-WCNN: an optimized integration of spatial and spectral feature map for arrhythmia classification
Cited by: 7
Author(s): Manisha Jangra, Sanjeev Kumar Dhull, Krishna Kant Singh, Akansha Singh, Xiaochun Cheng
Software Mentions: 1
Published: over 5 years ago
10.1016/j.compbiomed.2020.103895
A computational investigation into rate-dependant vectorcardiogram changes due to specific fibrosis patterns in non-ischæmic dilated cardiomyopathy
Cited by: 7
Author(s): Philip Gemmell, Karli Gillette, Gabriel Balaban, Ronak Rajani, Edward J. Vigmond, Martin J. Bishop
Software Mentions: 1
Published: about 6 years ago
10.1155/2019/3076324
Fusion of Motif- and Spectrum-Related Features for Improved EEG-Based Emotion Recognition
Cited by: 16
Author(s): Abhishek Tiwari, Tiago H. Falk
Software Mentions: 1
Published: over 7 years ago
10.1155/2021/6911192
A Multiattention-Based Supervised Feature Selection Method for Multivariate Time Series
Cited by: 0
Author(s): Li Cao, Yanting Chen, Zhiyang Zhang, Ning Gui
Software Mentions: 1
Published: about 5 years ago
10.1155/2021/8387680
Prediction of Heart Disease Using a Combination of Machine Learning and Deep Learning
Cited by: 175
Author(s): Rohit Bharti, Aditya Khamparia, Mohammad Shabaz, Gaurav Dhiman, Sagar Pande, Parneet Singh
Software Mentions: 1
Published: about 5 years ago
10.1155/2018/6401645
A Reweighted Scheme to Improve the Representation of the Neural Autoregressive Distribution Estimator
Cited by: 0
Author(s): Zheng Wang, Qingbiao Wu
Software Mentions: 1
Published: over 7 years ago
10.1155/2016/1638936
Improving Feature Representation Based on a Neural Network for Author Profiling in Social Media Texts
Cited by: 24
Author(s): Helena Gómez-Adorno, Ilia Markov, Grigori Sidorov, Juan-Pablo Posadas-Durán, Miguel A. Sánchez-Pérez, Liliana Chanona-Hernández
Software Mentions: 1
Published: over 10 years ago
10.1155/2016/7420984
Active Player Modeling in the Iterated Prisoner’s Dilemma
Cited by: 1
Author(s): Hyunsoo Park, Kyung Joong Kim
Software Mentions: 1
Published: over 10 years ago
10.1155/2021/8840156
An Efficient Automatic Gait Anomaly Detection Method Based on Semisupervised Clustering
Cited by: 6
Author(s): Zhenlun Yang
Software Mentions: 1
Published: over 5 years ago
10.1155/2016/6425257
Mitigation of Effects of Occlusion on Object Recognition with Deep Neural Networks through Low-Level Image Completion
Cited by: 10
Author(s): Benjamin Chandler, Ennio Mingolla
Software Mentions: 1
Published: over 10 years ago
10.1155/2020/7307252
Using Deep Convolutional Neural Networks for Image-Based Diagnosis of Nutrient Deficiencies in Rice
Cited by: 21
Author(s): Zhe Xu, Xiaomin Guo, Anfan Zhu, Xiaolin He, Zhao Xiao-min, Yi Han, Roshan Subedi
Software Mentions: 1
Published: about 6 years ago
10.1155/2021/8813806
Cost-Sensitive Classification for Evolving Data Streams with Concept Drift and Class Imbalance
Cited by: 4
Author(s): Yuan Sun, Meng Li, Lei Li, Han Shao, Yi Sun
Software Mentions: 1
Published: about 5 years ago
10.1515/cmb-2020-0001
Atom-specific persistent homology and its application to protein flexibility analysis
Cited by: 7
Author(s): David Bramer, Guo-Wei Wei
Software Mentions: 1
Published: over 6 years ago
10.1155/2020/5714714
Modeling the Spread of COVID-19 Infection Using a Multilayer Perceptron
Cited by: 137
Author(s): Zlatan Car, Sandi Baressi Šegota, Nikola Anđelić, Ivan Lorencin, Vedran Mrzljak
Software Mentions: 1
Published: over 6 years ago
10.1155/2021/6663977
Pixel-Wise Classification in Hippocampus Histological Images
Cited by: 2
Author(s): Alfonso Vizcaíno, Hermilo Sánchez-Cruz, Humberto Sossa, J. Luis Quintanar
Software Mentions: 1
Published: over 5 years ago
10.1155/2019/6915850
Using Machine Learning Algorithms to Predict Hepatitis B Surface Antigen Seroclearance
Cited by: 33
Author(s): Xiaolu Tian, Yutian Chong, Yutao Huang, Pi Guo, Mengjie Li, Wangjian Zhang, Zhicheng Du, Xiangyong Li, Yuantao Hao
Software Mentions: 1
Published: about 7 years ago
10.1155/2018/6565241
Prediction of GPCR-Ligand Binding Using Machine Learning Algorithms
Cited by: 12
Author(s): Sangmin Seo, Jonghwan Choi, Soon Kil Ahn, Kil Won Kim, Jae Kwang Kim, Jeong-Hwa Choi, Jin-Ho Kim, Jaegyoon Ahn
Software Mentions: 1
Published: over 8 years ago
10.1016/j.csbj.2017.07.001
A random forest classifier for detecting rare variants in NGS data from viral populations
Cited by: 5
Author(s): Raunaq Malhotra, Manjari Jha, Mary Poss, Raj Acharya
Software Mentions: 1
Published: over 9 years ago
10.1016/j.csbj.2020.10.032
Accurate prediction of RNA 5-hydroxymethylcytosine modification by utilizing novel position-specific gapped k-mer descriptors
Cited by: 8
Author(s): Sajid Ahmed, Hossain Md. Zahid, Mahtab Uddin, Ghazaleh Taherzadeh, Alok Sharma, Swakkhar Shatabda, Abdollah Dehzangi
Software Mentions: 1
Published: over 6 years ago
10.1155/2019/3515080
Prediction of Chemotherapy Response of Osteosarcoma Using Baseline <sup>18</sup>F-FDG Textural Features Machine Learning Approaches with PCA
Cited by: 25
Author(s): Su Young Jeong, Wook Kim, Byung Hyun Byun, Chang-Bae Kong, Won Seok Song, Ilhan Lim, Sang Moo Lim, Sang-Keun Woo
Software Mentions: 1
Published: about 7 years ago
10.1007/s00294-020-01070-2
Fungal Kti12 proteins display unusual linker regions and unique ATPase p-loops
Cited by: 3
Author(s): Rościsław Krutyhołowa, Annekathrin Reinhardt-Tews, Andrzej Chramiec‐Głąbik, Karin D. Breunig, Sebastian Glatt
Software Mentions: 1
Published: over 6 years ago
10.3390/curroncol28040275
A Machine Learning Approach to Predict Stress Hormones and Inflammatory Markers Using Illness Perception and Quality of Life in Breast Cancer Patients
Cited by: 3
Author(s): Irina Crumpei-Tanasă, Iulia Crumpei
Software Mentions: 1
Published: about 5 years ago
10.1016/j.dib.2021.107431
Dataset for modeling Beck’s cognitive triad to understand depression
Cited by: 1
Author(s): Shreekant Jere, Annapurna P. Patil, Ganeshayya Shidaganti, Shweta S. Aladakatti, Laxmi Jayannavar
Software Mentions: 1
Published: almost 5 years ago
10.1093/database/baw133
ASAP: a machine learning framework for local protein properties
Cited by: 18
Author(s): Nadav Brandes, Dan Ofer, Michal Linial
Software Mentions: 1
Published: over 10 years ago
10.1093/database/bay122
BioCreative VI Precision Medicine Track system performance is constrained by entity recognition and variations in corpus characteristics
Cited by: 4
Author(s): Qingyu Chen, Nagesh C. Panyam, Aparna Elangovan, Karin Verspoor
Software Mentions: 1
Published: over 8 years ago
10.1093/database/bax070
First steps in automatic summarization of transcription factor properties for RegulonDB: classification of sentences about structural domains and regulated processes
Cited by: 6
Author(s): Carlos-Francisco Méndez-Cruz, Socorro Gama-Castro, Citlalli Mejía-Almonte, Marco-Polo Castillo-Villalba, Luis-José Muñiz-Rascado, Julio Collado‐Vides
Software Mentions: 1
Published: over 9 years ago
10.3390/diagnostics10040209
The Combination of Adaptive Convolutional Neural Network and Bag of Visual Words in Automatic Diagnosis of Third Molar Complications on Dental X-Ray Images
Cited by: 7
Author(s): Võ Trương Như Ngọc, Agwu Chinedu Agwu, Lê Hoàng Sơn, Trần Mạnh Tuấn, Cu Nguyen Giap, Mai Thi Giang Thanh, Hoang Bao Duy, Trần Thị Ngân
Software Mentions: 1
Published: over 6 years ago
10.3390/diagnostics11081429
Predicting Depression in Community Dwellers Using a Machine Learning Algorithm
Cited by: 6
Author(s): Seo‐Eun Cho, Zong Woo Geem, Jin-Seong Lee
Software Mentions: 1
Published: about 5 years ago
10.3390/diagnostics11020347
Females and Males Show Differences in Early-Stage Transcriptomic Biomarkers of Lung Adenocarcinoma and Lung Squamous Cell Carcinoma
Cited by: 1
Author(s): Quewang Liu, Yueying Wang, Meiyu Duan, Yongchang Fan, Pan Xing-yuan, Shuai Liu, Yu Qian, Lan Huang, Fengfeng Zhou
Software Mentions: 1
Published: over 5 years ago
10.3390/diagnostics11071255
Prediction of In-Hospital Cardiac Arrest Using Shallow and Deep Learning
Cited by: 9
Author(s): Minsu Chae, Sang-Wook Han, Hyo‐Wook Gil, Namjun Cho, HwaMin Lee
Software Mentions: 1
Published: about 5 years ago
10.3390/diagnostics11061096
Forecasting the Walking Assistance Rehabilitation Level of Stroke Patients Using Artificial Intelligence
Cited by: 7
Author(s): Kanghyeon Seo, Bokjin Chung, Hamsa Priya Panchaseelan, Taewoo Kim, Hye-Jung Park, Byung Mo Oh, Min-Ho Chun, Sunjae Won, Don-Kyu Kim, Jaewon Beom, Doyoung Jeon, Jihoon Yang
Software Mentions: 1
Published: about 5 years ago
10.3390/diagnostics11060943
Machine Learning-Based Cardiovascular Disease Prediction Model: A Cohort Study on the Korean National Health Insurance Service Health Screening Database
Cited by: 22
Author(s): Joung Ouk Ryan Kim, Yong-Suk Jeong, Jin Ho Kim, Jong Weon Lee, Dougho Park, Hyoung Seop Kim
Software Mentions: 1
Published: over 5 years ago
10.3390/diagnostics11040612
Prediction Models for Obstructive Sleep Apnea in Korean Adults Using Machine Learning Techniques
Cited by: 14
Author(s): Young Jae Kim, Ji Soo Jeon, Seo‐Eun Cho, Kwang Gi Kim, Kyoung-Sae Na
Software Mentions: 1
Published: over 5 years ago
10.1186/s13634-021-00755-1
A comparative study of multiple neural network for detection of COVID-19 on chest X-ray
Cited by: 28
Author(s): Shazia Anis, Tan Zi Xuan, Joon Huang Chuah, Juliana Usman, Pengjiang Qian, Khin Wee Lai
Software Mentions: 1
Published: about 5 years ago
10.3390/e22020193
Deep Residual Learning for Nonlinear Regression
Cited by: 37
Author(s): Dongwei Chen, Fei Hu, Guokui Nian, Tiantian Yang
Software Mentions: 1
Published: over 6 years ago
10.3390/e22111191
Analysis of Factors Contributing to the Severity of Large Truck Crashes
Cited by: 16
Author(s): Jinhong Li, Jinli Liu, Pengfei Liu, Yi Qi
Software Mentions: 1
Published: almost 6 years ago
10.3390/e23040407
Differential Replication for Credit Scoring in Regulated Environments
Cited by: 0
Author(s): Irene Unceta, Jordi Nin, Oriol Pujol
Software Mentions: 1
Published: over 5 years ago
10.3390/e23081047
Toward Learning Trustworthily from Data Combining Privacy, Fairness, and Explainability: An Application to Face Recognition
Cited by: 5
Author(s): Danilo Franco, Luca Oneto, Nicolò Navarin, Davide Anguita
Software Mentions: 1
Published: about 5 years ago
10.3390/e23080964
Learning Ordinal Embedding from Sets
Cited by: 0
Author(s): Aïssatou Diallo, Johannes Fürnkranz
Software Mentions: 1
Published: about 5 years ago
10.3390/e23030286
Conditional Entropy: A Potential Digital Marker for Stress
Cited by: 8
Author(s): Soheil Keshmiri
Software Mentions: 1
Published: over 5 years ago
10.3390/e23081009
A Hybrid Analysis-Based Approach to Android Malware Family Classification
Cited by: 16
Author(s): Chao Ding, Nurbol Luktarhan, Bei Lu, Wenhui Zhang
Software Mentions: 1
Published: about 5 years ago
10.3390/e22070797
Multi-Label Feature Selection Based on High-Order Label Correlation Assumption
Cited by: 17
Author(s): Ping Zhang, Wanfu Gao, Juncheng Hu, Yonghao Li
Software Mentions: 1
Published: about 6 years ago
10.3390/e21121181
Nonlinear Information Bottleneck
Cited by: 71
Author(s): Artemy Kolchinsky, Brendan D. Tracey, David H. Wolpert
Software Mentions: 1
Published: almost 7 years ago
10.1007/s10661-020-08403-1
Prioritizing river basins for intensive monitoring and assessment by the US Geological Survey
Cited by: 3
Author(s): Peter C. Van Metre, Sharon L. Qi, Jeffrey R. Deacon, Cheryl A. Dieter, Jessica M. Driscoll, Michael N. Fienen, Terry A. Kenney, Patrick M. Lambert, David Lesmes, Christopher A. Mason, Anke Mueller–Solger, MaryLynn Musgrove, Jaime A. Painter, Donald O. Rosenberry, Lori A. Sprague, Anthony J. Tesoriero, Lisamarie Windham‐Myers, David M. Wolock
Software Mentions: 1
Published: about 6 years ago
10.1007/s00330-020-07417-0
Machine learning in cardiovascular radiology: ESCR position statement on design requirements, quality assessment, current applications, opportunities, and challenges
Cited by: 13
Author(s): Thomas Weikert, Marco Francone, Suhny Abbara, Bettina Baeßler, Byoung Wook Choi, Matthias Gutberlet, Elizabeth M. Hecht, Christian Loewe, Élie Mousseaux, Luigi Natale, Konstantin Nikolaou, Karen Ordovás, Charles Peebles, Claudia Prieto, Rodrigo Salgado, Birgitta K. Velthuis, Rozemarijn Vliegenthart, Jens Bremerich, Tim Leiner
Software Mentions: 1
Published: almost 6 years ago
10.1007/s00330-020-07531-z
Systematic volumetric analysis predicts response to CSF drainage and outcome to shunt surgery in idiopathic normal pressure hydrocephalus
Cited by: 9
Author(s): Dan Wu, Abhay Moghekar, Wen Shi, Ari M. Blitz, Susumu Mori
Software Mentions: 1
Published: over 5 years ago
10.1038/s12276-020-00501-x
Brain tumor diagnostic model and dietary effect based on extracellular vesicle microbiome data in serum
Cited by: 11
Author(s): Jinho Yang, Hyo Eun Moon, Hyoung Woo Park, Andrea McDowell, Tae-Seop Shin, Young Koo Jee, Sungmin Kym, Sun Ha Paek, Eui Chong Kim
Software Mentions: 1
Published: about 6 years ago
10.12688/f1000research.14050.1
Gene Unprediction with Spurio: A tool to identify spurious protein sequences
Cited by: 10
Author(s): Wolfram Höps, Matt Jeffryes, Alex Bateman
Software Mentions: 1
Published: over 8 years ago
10.3390/foods10051111
Advances in Atypical FT-IR Milk Screening: Combining Untargeted Spectra Screening and Cluster Algorithms
Cited by: 1
Author(s): Lukas Spieß, Peter de Peinder, H. van den Bijgaart
Software Mentions: 1
Published: over 5 years ago
10.3390/foods10040809
A Comparative Analysis of Novel Deep Learning and Ensemble Learning Models to Predict the Allergenicity of Food Proteins
Cited by: 11
Author(s): Liyang Wang, Dantong Niu, Xinjie Zhao, Xiaoya Wang, Mengzhen Hao, Huilian Che
Software Mentions: 1
Published: over 5 years ago
10.3390/foods10040785
Detection of Adulteration in Infant Formula Based on Ensemble Convolutional Neural Network and Near-Infrared Spectroscopy
Cited by: 9
Author(s): Yisen Liu, Songbin Zhou, Wei Han, Chang Li, Weixin Liu, Zefan Qiu, Hong Chen
Software Mentions: 1
Published: over 5 years ago
10.3390/foods10051010
Exploration of Spanish Olive Oil Quality with a Miniaturized Low-Cost Fluorescence Sensor and Machine Learning Techniques
Cited by: 11
Author(s): Francesca Venturini, Michela Sperti, Umberto Michelucci, Ivo Herzig, Michael Baumgärtner, Josep Palau Caballero, Arturo Jiménez, Marco Agostino Deriu
Software Mentions: 1
Published: over 5 years ago
10.3389/fnagi.2020.574401
Applying the Inverse Efficiency Score to Visual–Motor Task for Studying Speed-Accuracy Performance While Aging
Cited by: 16
Author(s): Yauhen Statsenko, Tetiana Habuza, Klaus Neidl-Van Gorkom, Nazar Zaki, Taleb M. Almansoori
Software Mentions: 1
Published: almost 6 years ago
10.3389/fnagi.2021.661514
Predicting Age From Behavioral Test Performance for Screening Early Onset of Cognitive Decline
Cited by: 7
Author(s): Yauhen Statsenko, Tetiana Habuza, Inna Charykova, Klaus Neidl-Van Gorkom, Nazar Zaki, Taleb M. Almansoori, Gordon C. Baylis, Miloš Ljubisavljević, Maroua Belghali
Software Mentions: 1
Published: about 5 years ago
10.3389/fnagi.2020.592979
Regional Gray Matter Volume Identifies High Risk of Unsafe Driving in Healthy Older People
Cited by: 7
Author(s): Yasuharu Yamamoto, Bun Yamagata, Jinichi Hirano, Ryo Ueda, Hiroshi Yoshitake, Kazuno Negishi, Mika Yamagishi, M. Kimura, Kei Kamiya, Motoki Shino, Masaru Mimura
Software Mentions: 1
Published: almost 6 years ago
10.3389/fnagi.2019.00205
Predicting MCI Status From Multimodal Language Data Using Cascaded Classifiers
Cited by: 54
Author(s): Kathleen Fraser, Kristina Lundholm Fors, Marie Eckerström, Fredrik Öhman, Dimitrios Kokkinakis
Software Mentions: 1
Published: about 7 years ago
10.3389/fnagi.2021.642033
Language Impairment in Alzheimer’s Disease—Robust and Explainable Evidence for AD-Related Deterioration of Spontaneous Speech Through Multilingual Machine Learning
Cited by: 15
Author(s): Hali Lindsay, J. Tröger, Alexandra König
Software Mentions: 1
Published: over 5 years ago
10.3389/fnagi.2020.00266
Predictive Value of Odor Identification for Incident Dementia: The Shanghai Aging Study
Cited by: 4
Author(s): Ding Ding, Zhenxu Xiao, Xiaoniu Liang, Wanqing Wu, Qianhua Zhao, Yang Cao
Software Mentions: 1
Published: about 6 years ago
10.3389/fnagi.2015.00231
Discrimination between Alzheimer’s Disease and Late Onset Bipolar Disorder Using Multivariate Analysis
Cited by: 23
Author(s): Ariadna Besga, I Gonzalez, Enrique Echeburúa, Alexandre Savio, Borja Ayerdi, Darya Chyzhyk, José L. M. Madrigal, Juan C. Leza, Manuel Graña, Ana González‐Pinto
Software Mentions: 1
Published: over 10 years ago
10.3389/fnagi.2021.727654
Using Machine Learning for Predicting the Best Outcomes With Electrical Muscle Stimulation for Tremors in Parkinson’s Disease
Cited by: 4
Author(s): Onanong Phokaewvarangkul, Peerapon Vateekul, Itsara Wichakam, Chanawat Anan, Roongroj Bhidayasiri
Software Mentions: 1
Published: almost 5 years ago
10.3389/frai.2020.00003
Interpretability With Accurate Small Models
Cited by: 3
Author(s): Abhishek Ghose, Balaraman Ravindran
Software Mentions: 1
Published: over 6 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
10.3389/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
10.3389/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
10.3389/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
10.3389/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
10.3389/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