Projects: pypi: scikit-learn
https://packages.ecosyste.ms/registries/pypi.org/packages/scikit-learn
A set of python modules for machine learning and data mining
72 versions
Latest release: about 2 years ago
5,918 dependent packages
43,777,417 downloads last month
Enhanced Analysis
Educational Contributors:
a.joly@ulg.ac.be
vanderplas@astro.washington.edu
bh00038@cvplws63.eps.surrey.ac.uk
ha258@cornell.edu
satra@mit.edu
zl2480@columbia.edu
pinto@alum.mit.edu
jz4721@nyu.edu
matteo.visconti.gr@dartmouth.edu
vighneshbirodkar@nyu.edu
robert.l.marchman@dartmouth.edu
rs2715@stern.nyu.edu
claire.savard@colorado.edu
aaaagrawal@iitb.ac.in
ihaque@cs.stanford.edu
rspeer@mit.edu
mluessi@nmr.mgh.harvard.edu
amitibo@tx.technion.ac.il
ericchang2017@u.northwestern.edu
jkarno@seas.upenn.edu
minghui.liu@trincoll.edu
m.lyra@sussex.ac.uk
andrew.knyazev@ucdenver.edu
lamb@cs.stanford.edu
camilo@neurostat.mit.edu
martino.sorbaro@ed.ac.uk
t.sheerman-chase@surrey.ac.uk
cgohlke@uci.edu
batulaa@drexel.edu
kcarnold@alum.mit.edu
apw@seas.harvard.edu
abie@alum.mit.edu
rossbar@berkeley.edu
alceballosa@unal.edu.co
fhoang7@berkeley.edu
hechen@seas.upenn.edu
stefan@sun.ac.za
deepyaman.datta@utexas.edu
rebekah.kim@columbia.edu
shubham.bhardwaj2015@vit.ac.in
slama@berkeley.edu
nisingh@wharton.upenn.edu
kanikas3@vt.edu
jdlabal@stanford.edu
kjells@uw.edu
markus.loning.17@ucl.ac.uk
k_nzw@klis.tsukuba.ac.jp
dkirkby@uci.edu
balawson@bu.edu
c.brummitt@columbia.edu
choo8@illinois.edu
giorgio.patrini@anu.edu.au
shangwuy@andrew.cmu.edu
rafael.possas@sydney.edu.au
olsonran@msu.edu
brian.mcfee@nyu.edu
naj273@nyu.edu
dgrusak@trinity.edu
emd222@cornell.edu
voth0@sewanee.edu
trishnendu.dd2014@cs.iiests.ac.in
apeng@berkeley.edu
boucher@cs.umass.edu
lunt@ctbp.ucsd.edu
bakhbari@mgh.harvard.edu
piraka@brandeis.edu
neal.lathia@cl.cam.ac.uk
razhoshia@post.bgu.ac.il
michal.romaniuk06@ic.ac.uk
m.batchkarov@sussex.ac.uk
lemin@cs.colostate.edu
rudvlf0413@korea.ac.kr
vredev16@msu.edu
raschkas@msu.edu
ali.baharev@univie.ac.at
a.krasoulis@sms.ed.ac.uk
arokem@berkeley.edu
gabrielvr@al.insper.edu.br
eric.sanchez1234@email.bakersfieldcollege.edu
fcchou@stanford.edu
rofuyu@cs.utexas.edu
glemaitre@visor.udg.edu
naoyaiijima@hiroshima-u.ac.jp
ayushgup@iitk.ac.in
joel@vlan-2666-10-17-16-173.staff.wireless.sydney.edu.au
jam7w2@mail.missouri.edu
j.hale09@imperial.ac.uk
tw991@nyu.edu
patel_zeel@iitgn.ac.in
vincent.lostanlen@nyu.edu
stvjc@channing.harvard.edu
ritchieng@u.nus.edu
bansalsi@usc.edu
rbarnes@umn.edu
rrohan@cs.cmu.edu
liutong.zhou@columbia.edu
mdh386@nyu.edu
mlf419@nyu.edu
shreyave@usc.edu
jin.siy@northeastern.edu
samuel_ainsworth@brown.edu
cwijes1@lsu.edu
wadawson@ucdavis.edu
xinyuliu@umich.edu
rz258@cornell.edu
daniel.mallia21@myhunter.cuny.edu
argriffi@ncsu.edu
filipj@umich.edu
kms15@case.edu
sam.dixon@berkeley.edu
khong008@e.ntu.edu.sg
jnelso11@gmu.edu
jclawton@umich.edu
jaehyunahn@sogang.ac.kr
ijpulidos@unal.edu.co
gstupp@scripps.edu
justhube@umich.edu
noamkeidar@campus.technion.ac.il
nityamd@nyu.edu
css459@nyu.edu
alyee@ucsd.edu
andersk@mit.edu
dhanus@mit.edu
coreylevinson@uchicago.edu
cailean.carter@quadram.ac.uk
bral4884@colorado.edu
dschult@colgate.edu
dpwe@ee.columbia.edu
dylan.cashman@tufts.edu
pawelsendyk@berkeley.edu
qzhang90@gatech.edu
mhaberla@calpoly.edu
saketk@student.unimelb.edu.au
eunjikim@dm.snu.ac.kr
erinrhof@uw.edu
ksivaman@purdue.edu
garmstrong@ucsd.edu
konstantin.shmelkov@polytechnique.edu
e175774@ie.u-ryukyu.ac.jp
hermidal@cs.umd.edu
jbearer@hmc.edu
jmarin@csail.mit.edu
Repository Activity:
Repository Owner:
scikit-learn (organization)
Repositories related to the scikit-learn Python machine learning library. Academic
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.0251553
Artificial intelligence for classifying uncertain images by humans in determining choroidal vascular running pattern and comparisons with automated classification between artificial intelligenceCited by: 1
Author(s): Shozo Sonoda, Hideki Shiihara, Hiroto Terasaki, Naoko Kakiuchi, Ryoh Funatsu, Masatoshi Tomita, Yuki Shinohara, Eisuke Uchino, Takuma Udagawa, Guangzhou An, Masahiro Akïba, Hideo Yokota, Taiji Sakamoto
Software Mentions: 1
Published: over 4 years ago
10.1371/journal.pone.0256648
Random forest-integrated analysis in AD and LATE brain transcriptome-wide data to identify disease-specific gene expressionCited by: 6
Author(s): Xinxing Wu, Chong Peng, Peter T. Nelson, Qiang Cheng
Software Mentions: 1
Published: about 4 years ago
10.3390/healthcare9091148
Predicting Emotional Valence of People Living with the Human Immunodeficiency Virus Using Daily Voice Clips: A Preliminary StudyCited by: 1
Author(s): Ray F. Lin, Shu‐Hsing Cheng, Yung-Ping Liu, Cheng-Pin Chen, Yi-Jyun Wang, Shu-Ying Chang
Software Mentions: 1
Published: about 4 years ago
10.1371/journal.pone.0255626
Machine learning prediction of dropping out of outpatients with alcohol use disordersCited by: 5
Author(s): So Jin Park, Sun Jung Lee, HyungMin Kim, Jae Kwon Kim, Ji Won Chun, Soo-Jung Lee, Hae Kook Lee, Daijin Kim, In Young Choi
Software Mentions: 1
Published: over 4 years ago
10.1371/journal.pone.0141922
Emotional Sentence Annotation Helps Predict Fiction GenreCited by: 11
Author(s): Spyridon Samothrakis, Maria Fasli
Software Mentions: 1
Published: about 10 years ago
10.1371/journal.pone.0226272
Predicting the occurrence of surgical site infections using text mining and machine learningCited by: 14
Author(s): Daniel A. da Silva, Carla S. ten Caten, Rodrigo Pires dos Santos, Flávio Sanson Fogliatto, Juliana Hsuan
Software Mentions: 1
Published: almost 6 years ago
10.1186/s12920-020-00783-0
Predicting miRNA-disease associations using a hybrid feature representation in the heterogeneous networkCited by: 7
Author(s): Minghui Liu, Jingyi Yang, Jiacheng Wang, Lei Deng
Software Mentions: 1
Published: about 5 years ago
10.1186/s12920-018-0388-0
Min-redundancy and max-relevance multi-view feature selection for predicting ovarian cancer survival using multi-omics dataCited by: 38
Author(s): Yasser EL-Manzalawy, Tsung Yu Hsieh, Manu Shivakumar, Dokyoon Kim, Vasant Honavar
Software Mentions: 1
Published: about 7 years ago
10.1371/journal.pone.0236092
Challenges of machine learning model validation using correlated behaviour data: Evaluation of cross-validation strategies and accuracy measuresCited by: 26
Author(s): Bence Ferdinandy, László Gerencsér, Luca Corrieri, Paula Carballo Pérez, Dóra Újváry, Gábor Csizmadia, Ádám Miklósi
Software Mentions: 1
Published: over 5 years ago
10.1186/s12920-018-0436-9
CRlncRC: a machine learning-based method for cancer-related long noncoding RNA identification using integrated featuresCited by: 14
Author(s): Xuan Zou, Jun Wang, Jing Li, Wen Chen, Changning Liu
Software Mentions: 1
Published: almost 7 years ago
10.1371/journal.pone.0249318
Clustered embedding using deep learning to analyze urban mobility based on complex transportation dataCited by: 1
Author(s): Sung Bae Cho, Jin Young Kim
Software Mentions: 1
Published: over 4 years ago
10.1371/journal.pone.0207926
Biomarkers of erosive arthritis in systemic lupus erythematosus: Application of machine learning modelsCited by: 28
Author(s): Fulvia Ceccarelli, Marco Sciandrone, Carlo Perricone, Giulio Galvan, Enrica Cipriano, Alessandro Galligari, Tommaso Levato, Tania Colasanti, Laura Massaro, Francesco Natalucci, Francesca Romana Spinelli, Cristiano Alessandri, Guido Valesini, Fabrizio Conti
Software Mentions: 1
Published: almost 7 years ago
10.1371/journal.pone.0228579
Towards story-based classification of movie scenesCited by: 4
Author(s): Chang Liu, Armin Shmilovici
Software Mentions: 1
Published: over 5 years ago
10.1371/journal.pone.0202652
Predicting improved protein conformations with a temporal deep recurrent neural networkCited by: 14
Author(s): Erik Pfeiffenberger, Paul A. Bates
Software Mentions: 1
Published: about 7 years ago
10.1186/s12916-020-01860-y
Development and validation of an artificial intelligence system for grading colposcopic impressions and guiding biopsiesCited by: 37
Author(s): Peng Xue, Chaohua Tang, Qing Li, Yuexiang Li, Yu Shen, Yuqian Zhao, Jiawei Chen, Jianrong Wu, Longyu Li, Wei Wang, Yucong Li, Xiaoli Cui, Shaokai Zhang, Wenhua Zhang, Xun Zhang, Kai Ma, Yefeng Zheng, Tianyi Qian, Man Tat Alexander Ng, Zhihua Liu, You‐Lin Qiao, Yu Jiang, Fen Zhao
Software Mentions: 1
Published: almost 5 years ago
10.1371/journal.pone.0252402
Crop yield prediction integrating genotype and weather variables using deep learningCited by: 59
Author(s): Johnathon M. Shook, Tryambak Gangopadhyay, Linjiang Wu, Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh K. Singh
Software Mentions: 1
Published: over 4 years ago
10.1186/s12916-019-1405-7
Dissecting genetic factors affecting phenylephrine infusion rates during anesthesia: a genome-wide association study employing EHR dataCited by: 13
Author(s): Yanfei Zhang, S. Mark Poler, Jiang Li, Vida Abedi, Sarah A. Pendergrass, Marc S. Williams, Ming Ta Michael Lee
Software Mentions: 1
Published: about 6 years ago
10.1186/s12916-019-1469-4
Multi-level transcriptome sequencing identifies COL1A1 as a candidate marker in human heart failure progressionCited by: 52
Author(s): Xiumeng Hua, Yin-Ying Wang, Peilin Jia, Qing Xiong, Yiqing Hu, Yuan Chang, Songqing Lai, Yong Xu, Zhongming Zhao, Jiangping Song
Software Mentions: 1
Published: almost 6 years ago
10.1038/s42003-021-02393-7
Systems biology informed neural networks (SBINN) predict response and novel combinations for PD-1 checkpoint blockadeCited by: 6
Author(s): Michelle Przedborski, Munisha Smalley, Saravanan Thiyagarajan, Aaron Goldman, Mohammad Kohandel
Software Mentions: 1
Published: over 4 years ago
10.1186/s12879-021-06614-6
Machine learning-based CT radiomics model distinguishes COVID-19 from non-COVID-19 pneumoniaCited by: 14
Author(s): Hui Juan Chen, Li Mao, Yang Chen, Yuan Li, Fei Wang, Xiuli Li, Qinlei Cai, Jie Qiu, Chen Feng
Software Mentions: 1
Published: about 4 years ago
10.1038/s42003-019-0456-9
GECKO is a genetic algorithm to classify and explore high throughput sequencing dataCited 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: over 6 years ago
10.1038/s42003-021-01709-x
HDXmodeller: an online webserver for high-resolution HDX-MS with auto-validationCited by: 8
Author(s): Ramin Ekhteiari Salmas, Antoni J. Borysik
Software Mentions: 1
Published: over 4 years ago
10.1007/s40747-021-00371-4
O-WCNN: an optimized integration of spatial and spectral feature map for arrhythmia classificationCited by: 7
Author(s): Manisha Jangra, Sanjeev Kumar Dhull, Krishna Kant Singh, Akansha Singh, Xiaochun Cheng
Software Mentions: 1
Published: over 4 years ago
10.1016/j.compbiomed.2020.103895
A computational investigation into rate-dependant vectorcardiogram changes due to specific fibrosis patterns in non-ischæmic dilated cardiomyopathyCited by: 7
Author(s): Philip Gemmell, Karli Gillette, Gabriel Balaban, Ronak Rajani, Edward J. Vigmond, Martin J. Bishop
Software Mentions: 1
Published: over 5 years ago
10.1155/2019/3076324
Fusion of Motif- and Spectrum-Related Features for Improved EEG-Based Emotion RecognitionCited by: 16
Author(s): Abhishek Tiwari, Tiago H. Falk
Software Mentions: 1
Published: almost 7 years ago
10.1155/2021/6911192
A Multiattention-Based Supervised Feature Selection Method for Multivariate Time SeriesCited by: 0
Author(s): Li Cao, Yanting Chen, Zhiyang Zhang, Ning Gui
Software Mentions: 1
Published: over 4 years ago
10.1186/s12864-020-07238-x
Graph embedding ensemble methods based on the heterogeneous network for lncRNA-miRNA interaction predictionCited by: 17
Author(s): Chengshuai Zhao, Qi Yang, Shuang Zhou, Shichao Liu, Wen Zhang, Yanqing Niu
Software Mentions: 1
Published: almost 5 years ago
10.1155/2021/8387680
Prediction of Heart Disease Using a Combination of Machine Learning and Deep LearningCited by: 175
Author(s): Rohit Bharti, Aditya Khamparia, Mohammad Shabaz, Gaurav Dhiman, Sagar Pande, Parneet Singh
Software Mentions: 1
Published: over 4 years ago
10.1155/2018/6401645
A Reweighted Scheme to Improve the Representation of the Neural Autoregressive Distribution EstimatorCited by: 0
Author(s): Zheng Wang, Qingbiao Wu
Software Mentions: 1
Published: almost 7 years ago
10.1155/2016/1638936
Improving Feature Representation Based on a Neural Network for Author Profiling in Social Media TextsCited by: 24
Author(s): Helena Gómez-Adorno, Ilia Markov, Grigori Sidorov, Juan-Pablo Posadas-Durán, Miguel A. Sánchez-Pérez, Liliana Chanona-Hernández
Software Mentions: 1
Published: almost 10 years ago
10.1155/2016/7420984
Active Player Modeling in the Iterated Prisoner’s DilemmaCited by: 1
Author(s): Hyunsoo Park, Kyung Joong Kim
Software Mentions: 1
Published: almost 10 years ago
10.1155/2021/8840156
An Efficient Automatic Gait Anomaly Detection Method Based on Semisupervised ClusteringCited by: 6
Author(s): Zhenlun Yang
Software Mentions: 1
Published: over 4 years ago
10.1155/2016/6425257
Mitigation of Effects of Occlusion on Object Recognition with Deep Neural Networks through Low-Level Image CompletionCited by: 10
Author(s): Benjamin Chandler, Ennio Mingolla
Software Mentions: 1
Published: almost 10 years ago
10.1155/2020/7307252
Using Deep Convolutional Neural Networks for Image-Based Diagnosis of Nutrient Deficiencies in RiceCited by: 21
Author(s): Zhe Xu, Xiaomin Guo, Anfan Zhu, Xiaolin He, Zhao Xiao-min, Yi Han, Roshan Subedi
Software Mentions: 1
Published: about 5 years ago
10.1155/2021/8813806
Cost-Sensitive Classification for Evolving Data Streams with Concept Drift and Class ImbalanceCited by: 4
Author(s): Yuan Sun, Meng Li, Lei Li, Han Shao, Yi Sun
Software Mentions: 1
Published: over 4 years ago
10.1515/cmb-2020-0001
Atom-specific persistent homology and its application to protein flexibility analysisCited by: 7
Author(s): David Bramer, Guo-Wei Wei
Software Mentions: 1
Published: almost 6 years ago
10.1155/2020/5714714
Modeling the Spread of COVID-19 Infection Using a Multilayer PerceptronCited by: 137
Author(s): Zlatan Car, Sandi Baressi Šegota, Nikola Anđelić, Ivan Lorencin, Vedran Mrzljak
Software Mentions: 1
Published: over 5 years ago
10.1155/2021/6663977
Pixel-Wise Classification in Hippocampus Histological ImagesCited by: 2
Author(s): Alfonso Vizcaíno, Hermilo Sánchez-Cruz, Humberto Sossa, J. Luis Quintanar
Software Mentions: 1
Published: over 4 years ago
10.1155/2019/6915850
Using Machine Learning Algorithms to Predict Hepatitis B Surface Antigen SeroclearanceCited 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: over 6 years ago
10.1155/2018/6565241
Prediction of GPCR-Ligand Binding Using Machine Learning AlgorithmsCited 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: almost 8 years ago
10.1007/s10439-020-02591-0
Quantification of Myocardial Blood Flow by Machine Learning Analysis of Modified Dual Bolus MRI ExaminationCited by: 2
Author(s): Minna Husso, Isaac O. Afara, Mikko J. Nissi, Antti Kuivanen, Paavo Halonen, Miikka Tarkia, Jarmo Teuho, Virva Saunavaara, Pauli Vainio, Petri Sipola, Hannu Manninen, Seppo Ylä‐Herttuala, Juhani Knuuti, Juha Töyräs
Software Mentions: 1
Published: about 5 years ago
10.1016/j.csbj.2017.07.001
A random forest classifier for detecting rare variants in NGS data from viral populationsCited by: 5
Author(s): Raunaq Malhotra, Manjari Jha, Mary Poss, Raj Acharya
Software Mentions: 1
Published: almost 9 years ago
10.1186/s12864-021-07379-7
Authoritative subspecies diagnosis tool for European honey bees based on ancestry informative SNPsCited by: 30
Author(s): Jamal Momeni, Melanie Parejo, Rasmus Oestergaard Nielsen, Jorge Langa, Iratxe Montes, Laetitia Papoutsis, Leila Farajzadeh, Christian Berthou, Eliza Căuia, Jean-Daniel Charrière, Mary F. Coffey, Cecília Costa, Raffaele Dall’Olio, Pilar De la Rúa, Marica Maja Dražić, Janja Filipi, Thomas Galea, Miroljub Golubovski, Aleš Gregorc, Karina Grigoryan, Fani Hatjina, R. S. Il’yasov, Evgeniya Ivanova, Irakli Janashia, İrfan Kandemi̇r, Aikaterini Karatasou, Meral Kekeçoğlu, Nikola Kezic, Enikö Sz Matray, David Mifsud, Rudolf Moosbeckhofer, А. Г. Николенко, Alexandros Papachristoforou, Plamen Petrov, M. Alice Pinto, A. V. Poskryakov, Aglyam Y. Sharipov, Adrian Siceanu, M. İ. Soysal, Aleksandar Uzunov, Marion Zammit-Mangion, R. K. K. Vingborg, Maria Bouga, Per Kryger, Marina D. Meixner, Andone Estonba
Software Mentions: 1
Published: almost 5 years ago
10.1186/s12864-020-06923-1
Optimizing the genetic prediction of the eye and hair color for North Eurasian populationsCited by: 9
Author(s): Elena Balanovska, Elena Lukianova, Janet Kagazezheva, Andrey Maurer, N. A. Leybova, A. T. Agdzhoyan, И. О. Горин, В. С. Петрушенко, Maxat Zhabagin, Vladimir Yu. Pylev, Elena S. Kostryukova, Oleg Balanovsky
Software Mentions: 1
Published: about 5 years ago
10.1016/j.csbj.2020.10.032
Accurate prediction of RNA 5-hydroxymethylcytosine modification by utilizing novel position-specific gapped k-mer descriptorsCited by: 8
Author(s): Sajid Ahmed, Hossain Md. Zahid, Mahtab Uddin, Ghazaleh Taherzadeh, Alok Sharma, Swakkhar Shatabda, Abdollah Dehzangi
Software Mentions: 1
Published: almost 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 PCACited 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: over 6 years ago
10.1007/s00294-020-01070-2
Fungal Kti12 proteins display unusual linker regions and unique ATPase p-loopsCited by: 3
Author(s): Rościsław Krutyhołowa, Annekathrin Reinhardt-Tews, Andrzej Chramiec‐Głąbik, Karin D. Breunig, Sebastian Glatt
Software Mentions: 1
Published: over 5 years ago
10.3390/curroncol28040275
A Machine Learning Approach to Predict Stress Hormones and Inflammatory Markers Using Illness Perception and Quality of Life in Breast Cancer PatientsCited by: 3
Author(s): Irina Crumpei-Tanasă, Iulia Crumpei
Software Mentions: 1
Published: about 4 years ago
10.1016/j.dib.2021.107431
Dataset for modeling Beck’s cognitive triad to understand depressionCited by: 1
Author(s): Shreekant Jere, Annapurna P. Patil, Ganeshayya Shidaganti, Shweta S. Aladakatti, Laxmi Jayannavar
Software Mentions: 1
Published: about 4 years ago
10.1093/database/baw133
ASAP: a machine learning framework for local protein propertiesCited by: 18
Author(s): Nadav Brandes, Dan Ofer, Michal Linial
Software Mentions: 1
Published: almost 10 years ago
10.3390/ani11092660
Training and Validating a Machine Learning Model for the Sensor-Based Monitoring of Lying Behavior in Dairy Cows on Pasture and in the BarnCited by: 9
Author(s): Lara Schmeling, Golnaz Elmamooz, Phan Thai Hoang, Anastasiia Kozar, Daniela Nicklas, Michael Sünkel, S. Thurner, E. Rauch
Software Mentions: 1
Published: about 4 years ago
10.1093/database/bay122
BioCreative VI Precision Medicine Track system performance is constrained by entity recognition and variations in corpus characteristicsCited by: 4
Author(s): Qingyu Chen, Nagesh C. Panyam, Aparna Elangovan, Karin Verspoor
Software Mentions: 1
Published: almost 8 years ago
10.1093/database/bax070
First steps in automatic summarization of transcription factor properties for RegulonDB: classification of sentences about structural domains and regulated processesCited by: 6
Author(s): Carlos-Francisco Méndez-Cruz, Socorro Gama-Castro, Citlalli Mejía-Almonte, Marco-Polo Castillo-Villalba, Luis-José Muñiz-Rascado, Julio Collado‐Vides
Software Mentions: 1
Published: almost 9 years ago
10.1186/s12862-015-0283-7
Automatic selection of partitioning schemes for phylogenetic analyses using iterative k-means clustering of site ratesCited by: 93
Author(s): Paul B. Frandsen, Brett Calcott, Christoph Mayer, Robert Lanfear
Software Mentions: 1
Published: almost 11 years ago
10.3390/diagnostics10040209
The Combination of Adaptive Convolutional Neural Network and Bag of Visual Words in Automatic Diagnosis of Third Molar Complications on Dental X-Ray ImagesCited by: 7
Author(s): Võ Trương Như Ngọc, Agwu Chinedu Agwu, Lê Hoàng Sơn, Trần Mạnh Tuấn, Cu Nguyen Giap, Mai Thi Giang Thanh, Hoang Bao Duy, Trần Thị Ngân
Software Mentions: 1
Published: over 5 years ago
10.3390/diagnostics11081429
Predicting Depression in Community Dwellers Using a Machine Learning AlgorithmCited by: 6
Author(s): Seo‐Eun Cho, Zong Woo Geem, Jin-Seong Lee
Software Mentions: 1
Published: over 4 years ago
10.1186/s12873-021-00447-x
Predicting venous thromboembolism in hospitalized trauma patients: a combination of the Caprini score and data-driven machine learning modelCited by: 11
Author(s): Lingxiao He, Lei Luo, Xiaoling Hou, Dengbin Liao, Ran Liu, Chaowei Ouyang, Guanglin Wang
Software Mentions: 1
Published: over 4 years ago
10.3390/ani11010050
Determination of Body Parts in Holstein Friesian Cows Comparing Neural Networks and k Nearest Neighbour ClassificationCited by: 7
Author(s): Jennifer Salau, Jan Haas, Wolfgang Junge, Georg Thaller
Software Mentions: 1
Published: almost 5 years ago
10.3390/diagnostics11020347
Females and Males Show Differences in Early-Stage Transcriptomic Biomarkers of Lung Adenocarcinoma and Lung Squamous Cell CarcinomaCited by: 1
Author(s): Quewang Liu, Yueying Wang, Meiyu Duan, Yongchang Fan, Pan Xing-yuan, Shuai Liu, Yu Qian, Lan Huang, Fengfeng Zhou
Software Mentions: 1
Published: over 4 years ago
10.3390/diagnostics11071255
Prediction of In-Hospital Cardiac Arrest Using Shallow and Deep LearningCited by: 9
Author(s): Minsu Chae, Sang-Wook Han, Hyo‐Wook Gil, Namjun Cho, HwaMin Lee
Software Mentions: 1
Published: over 4 years ago
10.3390/diagnostics11061096
Forecasting the Walking Assistance Rehabilitation Level of Stroke Patients Using Artificial IntelligenceCited by: 7
Author(s): Kanghyeon Seo, Bokjin Chung, Hamsa Priya Panchaseelan, Taewoo Kim, Hye-Jung Park, Byung Mo Oh, Min-Ho Chun, Sunjae Won, Don-Kyu Kim, Jaewon Beom, Doyoung Jeon, Jihoon Yang
Software Mentions: 1
Published: over 4 years ago
10.3390/diagnostics11060943
Machine Learning-Based Cardiovascular Disease Prediction Model: A Cohort Study on the Korean National Health Insurance Service Health Screening DatabaseCited by: 22
Author(s): Joung Ouk Ryan Kim, Yong-Suk Jeong, Jin Ho Kim, Jong Weon Lee, Dougho Park, Hyoung Seop Kim
Software Mentions: 1
Published: over 4 years ago
10.3390/diagnostics11040612
Prediction Models for Obstructive Sleep Apnea in Korean Adults Using Machine Learning TechniquesCited by: 14
Author(s): Young Jae Kim, Ji Soo Jeon, Seo‐Eun Cho, Kwang Gi Kim, Kyoung-Sae Na
Software Mentions: 1
Published: over 4 years ago
10.3390/ani10060927
Reliability of Family Dogs’ Sleep Structure Scoring Based on Manual and Automated Sleep Stage IdentificationCited by: 12
Author(s): Anna Gergely, Orsolya Kiss, Vivien Reicher, Ivaylo Borislavov Iotchev, Enikő Kovács, Ferenc Gombos, András A. Benczúr, Attila Galambos, József Topál, Anna Kis
Software Mentions: 1
Published: over 5 years ago
10.1186/s12872-021-02225-w
Prediction of cardiovascular risk in patients with chronic obstructive pulmonary disease: a study of the National Health and Nutrition Examination Survey databaseCited by: 7
Author(s): Yun Shi, Jing Zhang, Ying-Shuo Huang
Software Mentions: 1
Published: about 4 years ago
10.3390/ani11051305
Random Forest Modelling of Milk Yield of Dairy Cows under Heat Stress ConditionsCited by: 18
Author(s): Marco Bovo, Miki Agrusti, Stefano Benni, Daniele Torreggiani, Patrizia Tassinari
Software Mentions: 1
Published: over 4 years ago
10.1186/s12885-019-5646-9
Prediction of pathologic stage in non-small cell lung cancer using machine learning algorithm based on CT image feature analysisCited by: 49
Author(s): Lei Yu, Guangyu Tao, Lei Zhu, Gang Wang, Ziming Li, Jianding Ye, Qunhui Chen
Software Mentions: 1
Published: over 6 years ago
10.1186/s12915-020-00807-2
New targeted approaches for epigenetic age predictionsCited by: 46
Author(s): Yang Han, Julia Franzen, Thomas Stiehl, Michael Gobs, Chao-Chung Kuo, Miloš Nikolić, Jan Hapala, Barbara Koop, Klaus Strathmann, Stefanie Ritz‐Timme, Wolfgang Wagner
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-rayCited by: 28
Author(s): Shazia Anis, Tan Zi Xuan, Joon Huang Chuah, Juliana Usman, Pengjiang Qian, Khin Wee Lai
Software Mentions: 1
Published: over 4 years ago
10.3390/e22020193
Deep Residual Learning for Nonlinear RegressionCited by: 37
Author(s): Dongwei Chen, Fei Hu, Guokui Nian, Tiantian Yang
Software Mentions: 1
Published: almost 6 years ago
10.3390/e22111191
Analysis of Factors Contributing to the Severity of Large Truck CrashesCited by: 16
Author(s): Jinhong Li, Jinli Liu, Pengfei Liu, Yi Qi
Software Mentions: 1
Published: about 5 years ago
10.3390/ani11072066
Prediction of Hanwoo Cattle Phenotypes from Genotypes Using Machine Learning MethodsCited by: 8
Author(s): Swati Srivastava, Bryan Irvine Lopez, Himansu Kumar, Mi Jang, Han-Ha Chai, Woncheoul Park, Dajeong Lim
Software Mentions: 1
Published: over 4 years ago
10.1186/s12915-020-00938-6
Prokaryotic virus host predictor: a Gaussian model for host prediction of prokaryotic viruses in metagenomicsCited by: 40
Author(s): Congyu Lu, Zheng Zhang, Zena Cai, Zhaozhong Zhu, Ye Qiu, Aiping Wu, Taijiao Jiang, Heping Zheng, Yousong Peng
Software Mentions: 1
Published: almost 5 years ago
10.3390/e23040407
Differential Replication for Credit Scoring in Regulated EnvironmentsCited by: 0
Author(s): Irene Unceta, Jordi Nin, Oriol Pujol
Software Mentions: 1
Published: over 4 years ago
10.3390/e23081047
Toward Learning Trustworthily from Data Combining Privacy, Fairness, and Explainability: An Application to Face RecognitionCited by: 5
Author(s): Danilo Franco, Luca Oneto, Nicolò Navarin, Davide Anguita
Software Mentions: 1
Published: about 4 years ago
10.3390/e23080964
Learning Ordinal Embedding from SetsCited by: 0
Author(s): Aïssatou Diallo, Johannes Fürnkranz
Software Mentions: 1
Published: over 4 years ago
10.3390/e23030286
Conditional Entropy: A Potential Digital Marker for StressCited by: 8
Author(s): Soheil Keshmiri
Software Mentions: 1
Published: over 4 years ago
10.3390/e23081009
A Hybrid Analysis-Based Approach to Android Malware Family ClassificationCited by: 16
Author(s): Chao Ding, Nurbol Luktarhan, Bei Lu, Wenhui Zhang
Software Mentions: 1
Published: over 4 years ago
10.3390/e22070797
Multi-Label Feature Selection Based on High-Order Label Correlation AssumptionCited by: 17
Author(s): Ping Zhang, Wanfu Gao, Juncheng Hu, Yonghao Li
Software Mentions: 1
Published: over 5 years ago
10.1186/s12915-020-00930-0
Current cancer driver variant predictors learn to recognize driver genes instead of functional variantsCited by: 11
Author(s): Daniele Raimondi, Antoine Passemiers, Piero Fariselli, Yves Moreau
Software Mentions: 1
Published: almost 5 years ago
10.3390/e21121181
Nonlinear Information BottleneckCited by: 71
Author(s): Artemy Kolchinsky, Brendan D. Tracey, David H. Wolpert
Software Mentions: 1
Published: almost 6 years ago
10.1007/s10661-020-08403-1
Prioritizing river basins for intensive monitoring and assessment by the US Geological SurveyCited 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: over 5 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 challengesCited 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 5 years ago
10.1186/s12859-017-1947-7
PON-SC – program for identifying steric clashes caused by amino acid substitutionsCited by: 5
Author(s): Jelena Čalyševa, Mauno Vihinen
Software Mentions: 1
Published: almost 8 years ago
10.1186/s13073-015-0189-4
Inferring pathway dysregulation in cancers from multiple types of omic dataCited by: 13
Author(s): Shelley M. MacNeil, W. Evan Johnson, Dean Y. Li, Stephen R. Piccolo, Andrea Bild
Software Mentions: 1
Published: over 10 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 hydrocephalusCited by: 9
Author(s): Dan Wu, Abhay Moghekar, Wen Shi, Ari M. Blitz, Susumu Mori
Software Mentions: 1
Published: almost 5 years ago
10.1038/s12276-020-00501-x
Brain tumor diagnostic model and dietary effect based on extracellular vesicle microbiome data in serumCited 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 5 years ago
10.1186/s12859-017-1528-9
SEPIa, a knowledge-driven algorithm for predicting conformational B-cell epitopes from the amino acid sequenceCited by: 30
Author(s): Γεώργιος Δάλκας, Marianne Rooman
Software Mentions: 1
Published: almost 9 years ago
10.12688/f1000research.14050.1
Gene Unprediction with Spurio: A tool to identify spurious protein sequencesCited by: 10
Author(s): Wolfram Höps, Matt Jeffryes, Alex Bateman
Software Mentions: 1
Published: over 7 years ago
10.1186/1471-2105-16-S16-S4
TEES 2.2: Biomedical Event Extraction for Diverse CorporaCited by: 29
Author(s): Jari Björne, Tapio Salakoski
Software Mentions: 1
Published: about 10 years ago
10.3390/foods10051111
Advances in Atypical FT-IR Milk Screening: Combining Untargeted Spectra Screening and Cluster AlgorithmsCited by: 1
Author(s): Lukas Spieß, Peter de Peinder, H. van den Bijgaart
Software Mentions: 1
Published: over 4 years ago
10.1080/19768354.2020.1860125
Risk prediction and marker selection in nonsynonymous single nucleotide polymorphisms using whole genome sequencing dataCited by: 1
Author(s): Young-Sup Lee, Kyeong-Hye Won, Donghyun Shin, Jae-Don Oh
Software Mentions: 1
Published: about 5 years ago
10.3390/foods10040809
A Comparative Analysis of Novel Deep Learning and Ensemble Learning Models to Predict the Allergenicity of Food ProteinsCited by: 11
Author(s): Liyang Wang, Dantong Niu, Xinjie Zhao, Xiaoya Wang, Mengzhen Hao, Huilian Che
Software Mentions: 1
Published: over 4 years ago
10.3390/foods10040785
Detection of Adulteration in Infant Formula Based on Ensemble Convolutional Neural Network and Near-Infrared SpectroscopyCited by: 9
Author(s): Yisen Liu, Songbin Zhou, Wei Han, Chang Li, Weixin Liu, Zefan Qiu, Hong Chen
Software Mentions: 1
Published: over 4 years ago
10.3390/foods10051010
Exploration of Spanish Olive Oil Quality with a Miniaturized Low-Cost Fluorescence Sensor and Machine Learning TechniquesCited 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 4 years ago
10.1371/journal.pone.0222397
Can machine learning improve patient selection for cardiac resynchronization therapy?Cited by: 25
Author(s): Szu-Yeu Hu, Enrico Santus, Alexander W. Forsyth, Devvrat Malhotra, Josh Haimson, Neal A. Chatterjee, Daniel B. Kramer, Regina Barzilay, James A. Tulsky, Charlotta Lindvall
Software Mentions: 1
Published: about 6 years ago
10.1038/s41598-021-97990-1
Early outcome detection for COVID-19 patientsCited by: 5
Author(s): Alina Sîrbu, Greta Barbieri, Francesco Faita, Paolo Ferragina, Luna Gargani, Lorenzo Ghiadoni, Corrado Priami
Software Mentions: 1
Published: about 4 years ago
10.1038/s41598-017-05557-w
Multiple Ligand-Bound States of a Phosphohexomutase Revealed by Principal Component Analysis of NMR Peak ShiftsCited by: 8
Author(s): Jia Xu, Akella V. S. Sarma, Yirui Wei, Lesa J. Beamer, Steven R. Van Doren
Software Mentions: 1
Published: over 8 years ago
10.1038/s41598-021-98170-x
Prediction of coating thickness for polyelectrolyte multilayers via machine learningCited by: 4
Author(s): Varvara Gribova, Анастасія Наваліхіна, Oleksandr Lysenko, Cynthia Calligaro, Eloïse Lebaudy, Lucie Deiber, Bernard Senger, Philippe Lavalle, Nihal Engin Vrana
Software Mentions: 1
Published: about 4 years ago
10.1038/s41598-017-04847-7
Identifying Human SIRT1 Substrates by Integrating Heterogeneous Information from Various SourcesCited by: 15
Author(s): Zichao Zhai, Ming Tang, Yue Yang, Ming Lu, Wei‐Guo Zhu, Tingting Li
Software Mentions: 1
Published: over 8 years ago