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Computer Science

D-Index
34
Citations
6223
World Ranking
12030
National Ranking
468

Overview

Vladimir Makarenkov is affiliated with the University of Quebec at Montreal in Canada, focusing on interdisciplinary research at the intersection of computer science and molecular biology. Their scholarly contributions encompass computational methods applied to biological data and artificial intelligence techniques in healthcare diagnostics.

Their research spans various fields, primarily:

  • Computer Science
  • Biochemistry, Genetics and Molecular Biology

Within these domains, their subfield concentrations include:

  • Artificial Intelligence
  • Molecular Biology
  • Statistical and Nonlinear Physics
  • Computer Vision and Pattern Recognition
  • Radiology, Nuclear Medicine and Imaging

Makarenkov's work addresses multiple topics, such as:

  • Genomics and Phylogenetic Studies
  • AI in cancer detection
  • Advanced Clustering Algorithms Research
  • Bioinformatics and Genomic Networks
  • Imbalanced Data Classification Techniques
  • RNA and protein synthesis mechanisms
  • COVID-19 diagnosis using AI

Their publication record features frequent venues including:

  • arXiv (Cornell University)
  • Bioinformatics
  • Information Fusion
  • PLoS ONE
  • bioRxiv (Cold Spring Harbor Laboratory)

Selected recent papers exemplify the scope of Makarenkov's research contributions:

  • A review of uncertainty quantification in deep learning: Techniques, applications and challenges (2021, Information Fusion)
  • Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning (2021, Computers in Biology and Medicine)
  • SimPlot++: a Python application for representing sequence similarity and detecting recombination (2022, Bioinformatics)
  • UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection (2022, Information Fusion)
  • Using traditional machine learning and deep learning methods for on- and off-target prediction in CRISPR/Cas9: a review (2023, Briefings in Bioinformatics)

Their frequent collaborators include:

  • Moloud Abdar
  • Bogdan Mazoure
  • U. Rajendra Acharya
  • Nadia Tahiri
  • Abbas Khosravi

Best Publications

  • A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

    Moloud Abdar;Farhad Pourpanah;Sadiq Hussain;Dana Rezazadegan

  • A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

    Moloud Abdar;Farhad Pourpanah;Sadiq Hussain;Dana Rezazadegan

  • T-REX: a web server for inferring, validating and visualizing phylogenetic trees and networks

    Alix Boc;Alpha Boubacar Diallo;Vladimir Makarenkov

  • A new machine learning technique for an accurate diagnosis of coronary artery disease

    Moloud Abdar;Wojciech Książek;U Rajendra Acharya;U Rajendra Acharya;U Rajendra Acharya;Ru-San Tan

  • Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning

    Moloud Abdar;Maryam Samami;Sajjad Dehghani Mahmoodabad;Thang Doan

  • T-REX: reconstructing and visualizing phylogenetic trees and reticulation networks.

    Vladimir Makarenkov

  • Nonlinear redundancy analysis and canonical correspondence analysis based on polynomial regression

    Vladimir Makarenkov;Pierre Legendre

  • Optimal Variable Weighting for Ultrametric and Additive Trees and K-means Partitioning: Methods and Software

    Vladimir Makarenkov;Pierre Legendre

  • DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring

    Paweł Pławiak;Moloud Abdar;Joanna Pławiak;Vladimir Makarenkov

  • From a phylogenetic tree to a reticulated network.

    Vladimir Makarenkov;Pierre Legendre

  • An efficient method for the detection and elimination of systematic error in high-throughput screening

    Vladimir Makarenkov;Pablo Zentilli;Dmytro Kevorkov;Andrei Gagarin

  • CWV-BANN-SVM ensemble learning classifier for an accurate diagnosis of breast cancer

    Moloud Abdar;Vladimir Makarenkov

  • Inferring and Validating Horizontal Gene Transfer Events Using Bipartition Dissimilarity

    Alix Boc;Hervé Philippe;Vladimir Makarenkov

  • Phylogenetic Network Construction Approaches

    Vladimir Makarenkov;Dmytro Kevorkov;Pierre Legendre

  • NE-nu-SVC: A New Nested Ensemble Clinical Decision Support System for Effective Diagnosis of Coronary Artery Disease

    Moloud Abdar;U. Rajendra Acharya;Nizal Sarrafzadegan;Vladimir Makarenkov

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

    Shahla Nemati;Reza Rohani;Mohammad Ehsan Basiri;Moloud Abdar

  • Statistical Analysis of Systematic Errors in High-Throughput Screening:

    Dmytro Kevorkov;Vladimir Makarenkov

  • An Algorithm for the Fitting of a Tree Metric According to a Weighted Least-Squares Criterion

    Vladimir Makarenkov;Bruno Leclerc

  • A weighted least-squares approach for inferring phylogenies from incomplete distance matrices

    Vladimir Makarenkov;François-Joseph Lapointe

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

    Etienne Lord;Matthieu Willems;Franois-Joseph Lapointe;Vladimir Makarenkov

  • Ancestors 1.0

    Abdoulaye Banire Diallo;Vladimir Makarenkov;Mathieu Blanchette

  • Automated detection of Shockable ECG signals: a review

    Mohamed Hammad;Rajesh N.V.P.S. Kandala;Amira Abdelatey;Moloud Abdar

  • IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment

    Moloud Abdar;Vivi Nur Wijayaningrum;Sadiq Hussain;Roohallah Alizadehsani

Frequent Co-Authors

U. Rajendra Acharya
U. Rajendra Acharya University of Southern Queensland
Moloud Abdar
Moloud Abdar Deakin University
Mathieu Blanchette
Mathieu Blanchette McGill University
Boris Mirkin
Boris Mirkin National Research University Higher School of Economics
Saeid Nahavandi
Saeid Nahavandi Swinburne University of Technology
Ahmed A. Abd El-Latif
Ahmed A. Abd El-Latif Menoufia University
Doina Precup
Doina Precup McGill University
Mohammad Ghavamzadeh
Mohammad Ghavamzadeh Amazon (United States)
Hervé Philippe
Hervé Philippe Centre national de la recherche scientifique, CNRS
Arcady Mushegian
Arcady Mushegian National Science Foundation

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