Vladimir Makarenkov
Orcid: 0000-0003-3753-5925
According to our database1,
Vladimir Makarenkov
authored at least 69 papers
between 1996 and 2024.
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Bibliography
2024
Inertia-Based Indices to Determine the Number of Clusters in K-Means: An Experimental Evaluation.
IEEE Access, 2024
2023
Binarized multi-gate mixture of Bayesian experts for cardiac syndrome X diagnosis: A clinician-in-the-loop scenario with a belief-uncertainty fusion paradigm.
Inf. Fusion, September, 2023
Using traditional machine learning and deep learning methods for on- and off-target prediction in CRISPR/Cas9: a review.
Briefings Bioinform., May, 2023
UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection.
Inf. Fusion, 2023
CoRR, 2023
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
2022
J. Artif. Intell. Res., 2022
Fast and optimal branch-and-bound planner for the grid-based coverage path planning problem based on an admissible heuristic function.
Frontiers Robotics AI, 2022
Building alternative consensus trees and supertrees using <i>k</i>-means and Robinson and Foulds distance.
Bioinform., 2022
SimPlot++: a Python application for representing sequence similarity and detecting recombination.
Bioinform., 2022
Proceedings of the 35th Canadian Conference on Artificial Intelligence, Toronto, Ontario, 2022
2021
Object Weighting: A New Clustering Approach to Deal with Outliers and Cluster Overlap in Computational Biology.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
A review of uncertainty quantification in deep learning: Techniques, applications and challenges.
Inf. Fusion, 2021
Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning.
Comput. Biol. Medicine, 2021
Accurate deep learning off-target prediction with novel sgRNA-DNA sequence encoding in CRISPR-Cas9 gene editing.
Bioinform., 2021
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021
2020
DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring.
Inf. Sci., 2020
CoRR, 2020
Transfer index, NetUniFrac and some useful shortest path-based distances for community analysis in sequence similarity networks.
Bioinform., 2020
Proceedings of the Advances in Artificial Intelligence, 2020
2019
IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment.
J. Medical Syst., 2019
A new machine learning technique for an accurate diagnosis of coronary artery disease.
Comput. Methods Programs Biomed., 2019
IEEE Access, 2019
NE-nu-SVC: A New Nested Ensemble Clinical Decision Support System for Effective Diagnosis of Coronary Artery Disease.
IEEE Access, 2019
An intelligent shopping list based on the application of partitioning and machine learning algorithms.
Proceedings of the 18th Python in Science Conference 2019 (SciPy 2019), Austin, Texas, July 8, 2019
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019
2017
The Minkowski central partition as a pointer to a suitable distance exponent and consensus partitioning.
Pattern Recognit., 2017
Inf. Sci., 2017
Detecting and removing multiplicative spatial bias in high-throughput screening technologies.
Bioinform., 2017
2016
A-Ward<sub>pβ</sub>: Effective hierarchical clustering using the Minkowski metric and a fast k-means initialisation.
Inf. Sci., 2016
Applying subclustering and L<sub>p</sub> distance in Weighted K-Means with distributed centroids.
Neurocomputing, 2016
2015
Classification of bioinformatics workflows using weighted versions of partitioning and hierarchical clustering algorithms.
BMC Bioinform., 2015
Detecting and overcoming systematic bias in high-throughput screening technologies: a comprehensive review of practical issues and methodological solutions.
Briefings Bioinform., 2015
2014
A new efficient algorithm for inferring explicit hybridization networks following the Neighbor-Joining principle.
J. Bioinform. Comput. Biol., 2014
A fast compound algorithm for mining generators, closed itemsets, and computing links between equivalence classes.
Ann. Math. Artif. Intell., 2014
2013
A New Effective Method for Elimination of Systematic Error in Experimental High-Throughput Screening.
Proceedings of the Algorithms from and for Nature and Life, 2013
An Efficient Algorithm for the Detection and Classification of Horizontal Gene Transfer Events and Identification of Mosaic Genes.
Proceedings of the Algorithms from and for Nature and Life, 2013
Effect of Hundreds Sequenced Genomes on the Classification of Human Papillomaviruses.
Proceedings of the Data Science, 2013
2012
T-REX: a web server for inferring, validating and visualizing phylogenetic trees and networks.
Nucleic Acids Res., 2012
Bioinform., 2012
2011
BMC Bioinform., 2011
Detecting genomic regions associated with a disease using variability functions and Adjusted Rand Index.
BMC Bioinform., 2011
Proceedings of The Eighth International Conference on Concept Lattices and Their Applications, 2011
2010
Using Unsupervised Machine Learning Methods in High-Throughput Screening.
Proceedings of The 2010 International Conference on Data Mining, 2010
2009
A Whole Genome Study and Identification of Specific Carcinogenic Regions of the Human Papilloma Viruses.
J. Comput. Biol., 2009
2008
Proceedings of the Comparative Genomics, International Workshop, 2008
2007
J. Comput. Biol., 2007
An efficient method for the detection and elimination of systematic error in high-throughput screening.
Bioinform., 2007
2006
Proceedings of the Data Science and Classification, 2006
Comparison of Two Methods for Detecting and Correcting Systematic Error in High-throughput Screening Data.
Proceedings of the Data Science and Classification, 2006
A New Efficient Method for Assessing Missing Nucleotides in DNA Sequences in the Framework of a Generic Evolutionary Model.
Proceedings of the Data Science and Classification, 2006
HTS-Corrector: software for the statistical analysis and correction of experimental high-throughput screening data.
Bioinform., 2006
Proceedings of the Comparative Genomics, 2006
2004
A weighted least-squares approach for inferring phylogenies from incomplete distance matrices.
Bioinform., 2004
2003
Proceedings of the Algorithms in Bioinformatics, Third International Workshop, 2003
2001
Optimal Variable Weighting for Ultrametric and Additive Trees and <i>K</i> -means Partitioning: Methods and Software.
J. Classif., 2001
Bioinform., 2001
2000
1998
1996
Circular orders of tree metrics, and their uses for the reconstruction and fitting of phylogenetic trees.
Proceedings of the Mathematical Hierarchies and Biology, 1996