受强制性开放获取政策约束的文章 - Vladimir Makarenkov了解详情
可在其他位置公开访问的文章：41 篇
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
M Abdar, F Pourpanah, S Hussain, D Rezazadegan, L Liu, ...
Information Fusion 76, 243-297, 2021
强制性开放获取政策： Australian Research Council, Natural Sciences and Engineering Research …
Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning
M Abdar, M Samami, SD Mahmoodabad, T Doan, B Mazoure, ...
Computers in biology and medicine 135, 104418, 2021
强制性开放获取政策： Australian Research Council
DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring
P Pławiak, M Abdar, J Pławiak, V Makarenkov, UR Acharya
Information sciences 516, 401-418, 2020
强制性开放获取政策： Fonds de recherche du Québec - Nature et technologies
UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion Model with Ensemble Monte Carlo Dropout for COVID-19 Detection
M Abdar, S Salari, S Qahremani, HK Lam, F Karray, S Hussain, ...
Information Fusion 90, 364-381, 2023
强制性开放获取政策： Australian Research Council
An efficient method for the detection and elimination of systematic error in high-throughput screening
V Makarenkov, P Zentilli, D Kevorkov, A Gagarin, N Malo, R Nadon
Bioinformatics 23 (13), 1648-1657, 2007
强制性开放获取政策： Genome Canada
NE-nu-SVC: a new nested ensemble clinical decision support system for effective diagnosis of coronary artery disease
M Abdar, UR Acharya, N Sarrafzadegan, V Makarenkov
Ieee Access 7, 167605-167620, 2019
强制性开放获取政策： Fonds de recherche du Québec - Nature et technologies
Statistical analysis of systematic errors in high-throughput screening
D Kevorkov, V Makarenkov
SLAS Discovery 10 (6), 557-567, 2005
强制性开放获取政策： Genome Canada
Using the stability of objects to determine the number of clusters in datasets
E Lord, M Willems, FJ Lapointe, V Makarenkov
Information Sciences 393, 29-46, 2017
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada
Horizontal gene transfer and recombination analysis of SARS-CoV-2 genes helps discover its close relatives and shed light on its origin
V Makarenkov, B Mazoure, G Rabusseau, P Legendre
BMC Ecology and Evolution 21, 5, 2021
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada
Detecting and overcoming systematic bias in high-throughput screening technologies: a comprehensive review of practical issues and methodological solutions
I Caraus, AA Alsuwailem, R Nadon, V Makarenkov
Briefings in bioinformatics 16 (6), 974-986, 2015
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada
SimPlot++: a Python application for representing sequence similarity and detecting recombination
S Samson, É Lord, V Makarenkov
Bioinformatics 38 (11), 3118–3120, 2022
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada, Fonds de …
HTS-Corrector: software for the statistical analysis and correction of experimental high-throughput screening data
V Makarenkov, D Kevorkov, P Zentilli, A Gagarin, N Malo, R Nadon
Bioinformatics 22 (11), 1408-1409, 2006
强制性开放获取政策： Genome Canada
DUNEScan: a web server for uncertainty estimation in skin cancer detection with deep neural networks
B Mazoure, A Mazoure, J Bédard, V Makarenkov
Scientific Reports 12 (179), 2022
强制性开放获取政策： Fonds de recherche du Québec - Nature et technologies
Accurate deep learning off-target prediction with novel sgRNA-DNA sequence encoding in CRISPR-Cas9 gene editing
J Charlier, R Nadon, V Makarenkov
Bioinformatics 37 (16), 2299–2307, 2021
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada, Fonds de …
A new fast method for inferring multiple consensus trees using k-medoids
N Tahiri, M Willems, V Makarenkov
BMC evolutionary biology 18 (1), 1-12, 2018
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada
Using Traditional Machine Learning and Deep Learning Methods for On-and Off-Target Prediction in CRISPR/Cas9: A Review
Z Sherkatghanad, M Abdar, J Charlier, V Makarenkov
Briefings in Bioinformatics, bbad131, 2023
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada, Fonds de …
Using hybridization networks to retrace the evolution of Indo-European languages
M Willems, E Lord, L Laforest, G Labelle, FJ Lapointe, AM Di Sciullo, ...
BMC Evolutionary Biology 16, 1-18, 2016
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada
Identification and correction of spatial bias are essential for obtaining quality data in high-throughput screening technologies
B Mazoure, R Nadon, V Makarenkov
Scientific reports 7 (1), 11921, 2017
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada
The Minkowski central partition as a pointer to a suitable distance exponent and consensus partitioning
RC De Amorim, A Shestakov, B Mirkin, V Makarenkov
Pattern Recognition 67, 62-72, 2017
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada
Using clustering techniques to improve hit selection in high-throughput screening
A Gagarin, V Makarenkov, P Zentilli
SLAS Discovery 11 (8), 903-914, 2006
强制性开放获取政策： Genome Canada
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