Vladimir Makarenkov

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 42

Top Topics

Hierarchical Clustering Algorithms

Top Venues

Publications

Zeinab Sherkatghanad, Moloud Abdar, Mohammadreza Bakhtyari, Vladimir Makarenkov
BayTTA: Uncertainty-aware medical image classification with optimized test-time augmentation using Bayesian model averaging. CoRR (2024)
Andrei Rykov, Renato Cordeiro de Amorim, Vladimir Makarenkov, Boris G. Mirkin
Inertia-Based Indices to Determine the Number of Clusters in K-Means: An Experimental Evaluation. IEEE Access 12 (2024)
Moloud Abdar, Arash Mehrzadi, Milad Goudarzi, Farzad Masoudkabir, Leonardo Rundo, Mohammad Mamouei, Evis Sala, Abbas Khosravi, Vladimir Makarenkov, U. Rajendra Acharya, Seyedmohammad Saadatagah, Mohammadreza Naderian, Salvador García, Nizal Sarrafzadegan, Saeid Nahavandi
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 97 (2023)
Renato Cordeiro de Amorim, Vladimir Makarenkov
-means iterations and Gaussian clusters. Neurocomputing 553 (2023)
Moloud Abdar, Soorena Salari, Sina Qahremani, Hak-Keung Lam, Fakhri Karray, Sadiq Hussain, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi
UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection. Inf. Fusion 90 (2023)
Zeinab Sherkatghanad, Moloud Abdar, Jérémy Charlier, Vladimir Makarenkov
Using traditional machine learning and deep learning methods for on- and off-target prediction in CRISPR/Cas9: a review. Briefings Bioinform. 24 (3) (2023)
Vladimir Makarenkov, Gayane S. Barseghyan, Nadia Tahiri
Inferring multiple consensus trees and supertrees using clustering: a review. CoRR (2023)
Jaël Champagne Gareau, Guillaume Gosset, Éric Beaudry, Vladimir Makarenkov
Cache-Efficient Dynamic Programming MDP Solver. ECAI (2023)
Nadia Tahiri, Bernard Fichet, Vladimir Makarenkov
-means and Robinson and Foulds distance. Bioinform. 38 (13) (2022)
Jaël Champagne Gareau, Éric Beaudry, Vladimir Makarenkov
Fast and optimal branch-and-bound planner for the grid-based coverage path planning problem based on an admissible heuristic function. Frontiers Robotics AI 9 (2022)
Jaël Champagne Gareau, Éric Beaudry, Vladimir Makarenkov
Fast and optimal branch-and-bound planner for the grid-based coverage path planning problem based on an admissible heuristic function. Future Internet 9 (2022)
Jaël Champagne Gareau, Éric Beaudry, Vladimir Makarenkov
Cache-Efficient Memory Representation of Markov Decision Processes. AI (2022)
Stéphane Samson, Etienne Lord, Vladimir Makarenkov
SimPlot++: a Python application for representing sequence similarity and detecting recombination. Bioinform. 38 (11) (2022)
Bogdan Mazoure, Thang Doan, Tianyu Li, Vladimir Makarenkov, Joelle Pineau, Doina Precup, Guillaume Rabusseau
Low-Rank Representation of Reinforcement Learning Policies. J. Artif. Intell. Res. 75 (2022)
Mohamed Hammad, Kandala N. V. P. S. Rajesh, Amira Abdelatey, Moloud Abdar, Mariam Zomorodi Moghadam, Ru San Tan, U. Rajendra Acharya, Joanna Plawiak, Ryszard Tadeusiewicz, Vladimir Makarenkov, Nizal Sarrafzadegan, Abbas Khosravi, Saeid Nahavandi, Ahmed A. Abd El-Latif, Pawel Plawiak
Automated detection of shockable ECG signals: A review. Inf. Sci. 571 (2021)
Stéphane Samson, Etienne Lord, Vladimir Makarenkov
SimPlot++: a Python application for representing sequence similarity and detecting recombination. CoRR (2021)
Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul W. Fieguth, Xiaochun Cao, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi
A review of uncertainty quantification in deep learning: Techniques, applications and challenges. Inf. Fusion 76 (2021)
Alexandre Gondeau, Zahia Aouabed, Mohamed Hijri, Pedro R. Peres-Neto, Vladimir Makarenkov
Object Weighting: A New Clustering Approach to Deal with Outliers and Cluster Overlap in Computational Biology. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (2) (2021)
Moloud Abdar, Maryam Samami, Sajjad Dehghani Mahmoodabad, Thang Doan, Bogdan Mazoure, Reza Hashemifesharaki, Li Liu, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi
Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning. Comput. Biol. Medicine 135 (2021)
Jaël Champagne Gareau, Éric Beaudry, Vladimir Makarenkov
Fast and Optimal Planner for the Discrete Grid-Based Coverage Path-Planning Problem. IDEAL (2021)
Renato Cordeiro de Amorim, Vladimir Makarenkov
Improving cluster recovery with feature rescaling factors. Appl. Intell. 51 (8) (2021)
Jérémy Charlier, Robert Nadon, Vladimir Makarenkov
Accurate deep learning off-target prediction with novel sgRNA-DNA sequence encoding in CRISPR-Cas9 gene editing. Bioinform. 37 (16) (2021)
Renato Cordeiro de Amorim, Vladimir Makarenkov
Improving cluster recovery with feature rescaling factors. CoRR (2020)
Jérémy Charlier, Vladimir Makarenkov
XtracTree for Regulator Validation of Bagging Methods Used in Retail Banking. CoRR (2020)
Jérémy Charlier, Vladimir Makarenkov
VecHGrad for Solving Accurately Tensor Decomposition. Canadian Conference on AI (2020)
Henry Xing, Steven W. Kembel, Vladimir Makarenkov
Transfer index, NetUniFrac and some useful shortest path-based distances for community analysis in sequence similarity networks. Bioinform. 36 (9) (2020)
Pawel Plawiak, Moloud Abdar, Joanna Plawiak, Vladimir Makarenkov, U. Rajendra Acharya
DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring. Inf. Sci. 516 (2020)
Renato Cordeiro de Amorim, Vladimir Makarenkov, Boris G. Mirkin
Core Clustering as a Tool for Tackling Noise in Cluster Labels. J. Classif. 37 (1) (2020)
Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul W. Fieguth, Xiaochun Cao, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges. CoRR (2020)
Bogdan Mazoure, Thang Doan, Tianyu Li, Vladimir Makarenkov, Joelle Pineau, Doina Precup, Guillaume Rabusseau
Provably efficient reconstruction of policy networks. CoRR (2020)
Moloud Abdar, Vivi Nur Wijayaningrum, Sadiq Hussain, Roohallah Alizadehsani, Pawel Plawiak, U. Rajendra Acharya, Vladimir Makarenkov
IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment. J. Medical Syst. 43 (7) (2019)
Moloud Abdar, U. Rajendra Acharya, Nizal Sarrafzadegan, Vladimir Makarenkov
NE-nu-SVC: A New Nested Ensemble Clinical Decision Support System for Effective Diagnosis of Coronary Artery Disease. IEEE Access 7 (2019)
Nadia Tahiri, Bogdan Mazoure, Vladimir Makarenkov
An intelligent shopping list based on the application of partitioning and machine learning algorithms. SciPy (2019)
Moloud Abdar, Wojciech Ksiazek, U. Rajendra Acharya, Ru San Tan, Vladimir Makarenkov, Pawel Plawiak
A new machine learning technique for an accurate diagnosis of coronary artery disease. Comput. Methods Programs Biomed. 179 (2019)
Shahla Nemati, Reza Rohani, Mohammad Ehsan Basiri, Moloud Abdar, Neil Y. Yen, Vladimir Makarenkov
A Hybrid Latent Space Data Fusion Method for Multimodal Emotion Recognition. IEEE Access 7 (2019)
Jaël Champagne Gareau, Éric Beaudry, Vladimir Makarenkov
An Efficient Electric Vehicle Path-Planner That Considers the Waiting Time. SIGSPATIAL/GIS (2019)
Iurie Caraus, Bogdan Mazoure, Robert Nadon, Vladimir Makarenkov
Detecting and removing multiplicative spatial bias in high-throughput screening technologies. Bioinform. 33 (20) (2017)
Renato Cordeiro de Amorim, Andrei Shestakov, Boris G. Mirkin, Vladimir Makarenkov
The Minkowski central partition as a pointer to a suitable distance exponent and consensus partitioning. Pattern Recognit. 67 (2017)
Etienne Lord, Matthieu Willems, François-Joseph Lapointe, Vladimir Makarenkov
Using the stability of objects to determine the number of clusters in datasets. Inf. Sci. 393 (2017)
Renato Cordeiro de Amorim, Vladimir Makarenkov, Boris G. Mirkin
: Effective hierarchical clustering using the Minkowski metric and a fast k-means initialisation. Inf. Sci. (2016)
Renato Cordeiro de Amorim, Vladimir Makarenkov, Boris G. Mirkin
: Effective hierarchical clustering using the Minkowski metric and a fast k -means initialisation. CoRR (2016)
Renato Cordeiro de Amorim, Vladimir Makarenkov
distance in Weighted K-Means with distributed centroids. Neurocomputing 173 (2016)
Etienne Lord, Abdoulaye Baniré Diallo, Vladimir Makarenkov
Classification of bioinformatics workflows using weighted versions of partitioning and hierarchical clustering algorithms. BMC Bioinform. 16 (2015)
Iurie Caraus, Abdulaziz A. Alsuwailem, Robert Nadon, Vladimir Makarenkov
Detecting and overcoming systematic bias in high-throughput screening technologies: a comprehensive review of practical issues and methodological solutions. Briefings Bioinform. 16 (6) (2015)
Matthieu Willems, Nadia Tahiri, Vladimir Makarenkov
A new efficient algorithm for inferring explicit hybridization networks following the Neighbor-Joining principle. J. Bioinform. Comput. Biol. 12 (5) (2014)
Laszlo Szathmary, Petko Valtchev, Amedeo Napoli, Robert Godin, Alix Boc, Vladimir Makarenkov
A fast compound algorithm for mining generators, closed itemsets, and computing links between equivalence classes. Ann. Math. Artif. Intell. 70 (1-2) (2014)
Bruno Daigle, Vladimir Makarenkov, Abdoulaye Baniré Diallo
Effect of Hundreds Sequenced Genomes on the Classification of Human Papillomaviruses. ECDA (2013)
Alix Boc, Alpha Boubacar Diallo, Vladimir Makarenkov
T-REX: a web server for inferring, validating and visualizing phylogenetic trees and networks. Nucleic Acids Res. 40 (Web-Server-Issue) (2012)
Plamen Dragiev, Robert Nadon, Vladimir Makarenkov
Two effective methods for correcting experimental high-throughput screening data. Bioinform. 28 (13) (2012)
Plamen Dragiev, Robert Nadon, Vladimir Makarenkov
Systematic error detection in experimental high-throughput screening. BMC Bioinform. 12 (2011)
Laszlo Szathmary, Petko Valtchev, Amedeo Napoli, Robert Godin, Alix Boc, Vladimir Makarenkov
Fast Mining of Iceberg Lattices: A Modular Approach Using Generators. CLA (2011)
Dunarel Badescu, Alix Boc, Abdoulaye Baniré Diallo, Vladimir Makarenkov
Detecting genomic regions associated with a disease using variability functions and Adjusted Rand Index. BMC Bioinform. 12 (S-9) (2011)
Abdoulaye Baniré Diallo, Vladimir Makarenkov, Mathieu Blanchette
Ancestors 1.0: a web server for ancestral sequence reconstruction. Bioinform. 26 (1) (2010)
Chérif Mballo, Vladimir Makarenkov
Using Unsupervised Machine Learning Methods in High-Throughput Screening. DMIN (2010)
Abdoulaye Baniré Diallo, Dunarel Badescu, Mathieu Blanchette, Vladimir Makarenkov
A Whole Genome Study and Identification of Specific Carcinogenic Regions of the Human Papilloma Viruses. J. Comput. Biol. 16 (10) (2009)
Dunarel Badescu, Abdoulaye Baniré Diallo, Mathieu Blanchette, Vladimir Makarenkov
An Evolutionary Study of the Human Papillomavirus Genomes. RECOMB-CG (2008)
Abdoulaye Baniré Diallo, Vladimir Makarenkov, Mathieu Blanchette
Exact and Heuristic Algorithms for the Indel Maximum Likelihood Problem. J. Comput. Biol. 14 (4) (2007)
Vladimir Makarenkov, Pablo Zentilli, Dmytro Kevorkov, Andrei V. Gagarin, Nathalie Malo, Robert Nadon
An efficient method for the detection and elimination of systematic error in high-throughput screening. Bioinform. 23 (13) (2007)
Vladimir Makarenkov, Dmytro Kevorkov, Pablo Zentilli, Andrei V. Gagarin, Nathalie Malo, Robert Nadon
HTS-Corrector: software for the statistical analysis and correction of experimental high-throughput screening data. Bioinform. 22 (11) (2006)
Abdoulaye Baniré Diallo, Vladimir Makarenkov, Mathieu Blanchette
Finding Maximum Likelihood Indel Scenarios. Comparative Genomics (2006)
Vladimir Makarenkov, Pierre Legendre
From a Phylogenetic Tree to a Reticulated Network. J. Comput. Biol. 11 (1) (2004)
Vladimir Makarenkov, François-Joseph Lapointe
A weighted least-squares approach for inferring phylogenies from incomplete distance matrices. Bioinform. 20 (13) (2004)
Alain Guénoche, Bruno Leclerc, Vladimir Makarenkov
On the extension of a partial metric to a tree metric. Discret. Math. 276 (1-3) (2004)
Alix Boc, Vladimir Makarenkov
New Efficient Algorithm for Detection of Horizontal Gene Transfer Events. WABI (2003)
Vladimir Makarenkov, Pierre Legendre
-means Partitioning: Methods and Software. J. Classif. 18 (2) (2001)
Vladimir Makarenkov
T-REX: reconstructing and visualizing phylogenetic trees and reticulation networks. Bioinform. 17 (7) (2001)
Alain Guénoche, Bruno Leclerc, Vladimir Makarenkov
Generalized trees related with tree metrics. Electron. Notes Discret. Math. 5 (2000)
Vladimir Makarenkov, Bruno Leclerc
Comparison of Additive Trees Using Circular Orders. J. Comput. Biol. 7 (5) (2000)
Bruno Leclerc, Vladimir Makarenkov
On some relations between 2-trees and tree metrics. Discret. Math. 192 (1-3) (1998)
Vladimir Makarenkov, Bruno Leclerc
Circular orders of tree metrics, and their uses for the reconstruction and fitting of phylogenetic trees. Mathematical Hierarchies and Biology (1996)