Vladimir Makarenkov

Orcid: 0000-0003-3753-5925

According to our database1, Vladimir Makarenkov authored at least 70 papers between 1996 and 2024.

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Bibliography

2024
BayTTA: Uncertainty-aware medical image classification with optimized test-time augmentation using Bayesian model averaging.
CoRR, 2024

Inertia-Based Indices to Determine the Number of Clusters in K-Means: An Experimental Evaluation.
IEEE Access, 2024

2023
On <i>k</i>-means iterations and Gaussian clusters.
Neurocomputing, October, 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

Inferring multiple consensus trees and supertrees using clustering: a review.
CoRR, 2023

Cache-Efficient Dynamic Programming MDP Solver.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
Low-Rank Representation of Reinforcement Learning Policies.
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

Cache-Efficient Memory Representation of Markov Decision Processes.
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

Automated detection of shockable ECG signals: A review.
Inf. Sci., 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

Improving cluster recovery with feature rescaling factors.
Appl. Intell., 2021

Fast and Optimal Planner for the Discrete Grid-Based Coverage Path-Planning Problem.
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

XtracTree for Regulator Validation of Bagging Methods Used in Retail Banking.
CoRR, 2020

Provably efficient reconstruction of policy networks.
CoRR, 2020

Core Clustering as a Tool for Tackling Noise in Cluster Labels.
J. Classif., 2020

Transfer index, NetUniFrac and some useful shortest path-based distances for community analysis in sequence similarity networks.
Bioinform., 2020

VecHGrad for Solving Accurately Tensor Decomposition.
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

A Hybrid Latent Space Data Fusion Method for Multimodal Emotion Recognition.
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

An Efficient Electric Vehicle Path-Planner That Considers the Waiting Time.
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

Using the stability of objects to determine the number of clusters in datasets.
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

Two effective methods for correcting experimental high-throughput screening data.
Bioinform., 2012

2011
Systematic error detection in experimental high-throughput screening.
BMC Bioinform., 2011

Detecting genomic regions associated with a disease using variability functions and Adjusted Rand Index.
BMC Bioinform., 2011

Fast Mining of Iceberg Lattices: A Modular Approach Using Generators.
Proceedings of The Eighth International Conference on Concept Lattices and Their Applications, 2011

2010
Ancestors 1.0: a web server for ancestral sequence reconstruction.
Bioinform., 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
An Evolutionary Study of the Human Papillomavirus Genomes.
Proceedings of the Comparative Genomics, International Workshop, 2008

2007
Exact and Heuristic Algorithms for the Indel Maximum Likelihood Problem.
J. Comput. Biol., 2007

An efficient method for the detection and elimination of systematic error in high-throughput screening.
Bioinform., 2007

2006
New Efficient Algorithm for Modeling Partial and Complete Gene Transfer Scenarios.
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

Finding Maximum Likelihood Indel Scenarios.
Proceedings of the Comparative Genomics, 2006

2004
From a Phylogenetic Tree to a Reticulated Network.
J. Comput. Biol., 2004

On the extension of a partial metric to a tree metric.
Discret. Math., 2004

A weighted least-squares approach for inferring phylogenies from incomplete distance matrices.
Bioinform., 2004

2003
New Efficient Algorithm for Detection of Horizontal Gene Transfer Events.
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

T-REX: reconstructing and visualizing phylogenetic trees and reticulation networks.
Bioinform., 2001

2000
Comparison of Additive Trees Using Circular Orders.
J. Comput. Biol., 2000

Generalized trees related with tree metrics.
Electron. Notes Discret. Math., 2000

1998
On some relations between 2-trees and tree metrics.
Discret. Math., 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


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