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ORCIDVladimir Makarenkov
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2020 – today
- 2024
[j48]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: 11761-11773 (2024)- [i8]Zeinab Sherkatghanad, Moloud Abdar, Mohammadreza Bakhtyari, Vladimir Makarenkov:
BayTTA: Uncertainty-aware medical image classification with optimized test-time augmentation using Bayesian model averaging. CoRR abs/2406.17640 (2024) - 2023
- [j47]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) - [j46]Renato Cordeiro de Amorim, Vladimir Makarenkov:
On k-means iterations and Gaussian clusters. Neurocomputing 553: 126547 (2023) - [j45]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: 364-381 (2023) - [j44]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: 101813 (2023) - [c13]Jaël Champagne Gareau, Guillaume Gosset, Éric Beaudry, Vladimir Makarenkov:
Cache-Efficient Dynamic Programming MDP Solver. ECAI 2023: 373-380 - [i7]Vladimir Makarenkov, Gayane S. Barseghyan, Nadia Tahiri:
Inferring multiple consensus trees and supertrees using clustering: a review. CoRR abs/2301.00483 (2023) - 2022
- [j43]Stéphane Samson, Etienne Lord, Vladimir Makarenkov:
SimPlot++: a Python application for representing sequence similarity and detecting recombination. Bioinform. 38(11): 3118-3120 (2022) - [j42]Nadia Tahiri, Bernard Fichet, Vladimir Makarenkov:
Building alternative consensus trees and supertrees using k-means and Robinson and Foulds distance. Bioinform. 38(13): 3367-3376 (2022) - [j41]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) - [j40]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: 597-636 (2022) - [c12]Jaël Champagne Gareau, Éric Beaudry, Vladimir Makarenkov:
Cache-Efficient Memory Representation of Markov Decision Processes. Canadian AI 2022 - 2021
- [j39]Renato Cordeiro de Amorim, Vladimir Makarenkov:
Improving cluster recovery with feature rescaling factors. Appl. Intell. 51(8): 5759-5774 (2021) - [j38]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): 2299-2307 (2021) - [j37]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: 104418 (2021) - [j36]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: 243-297 (2021) - [j35]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: 580-604 (2021) - [j34]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): 633-643 (2021) - [c11]Jaël Champagne Gareau, Éric Beaudry, Vladimir Makarenkov:
Fast and Optimal Planner for the Discrete Grid-Based Coverage Path-Planning Problem. IDEAL 2021: 87-96 - [i6]Stéphane Samson, Etienne Lord, Vladimir Makarenkov:
SimPlot++: a Python application for representing sequence similarity and detecting recombination. CoRR abs/2112.09755 (2021) - 2020
- [j33]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): 2740-2749 (2020) - [j32]Renato Cordeiro de Amorim, Vladimir Makarenkov, Boris G. Mirkin:
Core Clustering as a Tool for Tackling Noise in Cluster Labels. J. Classif. 37(1): 143-157 (2020) - [j31]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: 401-418 (2020) - [c10]Jérémy Charlier, Vladimir Makarenkov:
VecHGrad for Solving Accurately Tensor Decomposition. Canadian AI 2020: 125-137 - [i5]Bogdan Mazoure, Thang Doan, Tianyu Li, Vladimir Makarenkov, Joelle Pineau, Doina Precup, Guillaume Rabusseau:
Provably efficient reconstruction of policy networks. CoRR abs/2002.02863 (2020) - [i4]Jérémy Charlier, Vladimir Makarenkov:
XtracTree for Regulator Validation of Bagging Methods Used in Retail Banking. CoRR abs/2004.02326 (2020) - [i3]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 abs/2011.06225 (2020) - [i2]Renato Cordeiro de Amorim, Vladimir Makarenkov:
Improving cluster recovery with feature rescaling factors. CoRR abs/2012.00477 (2020)
2010 – 2019
- 2019
- [j30]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: 167605-167620 (2019) - [j29]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: 172948-172964 (2019) - [j28]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) - [j27]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): 220:1-220:23 (2019) - [c9]Jaël Champagne Gareau, Éric Beaudry, Vladimir Makarenkov:
An Efficient Electric Vehicle Path-Planner That Considers the Waiting Time. SIGSPATIAL/GIS 2019: 389-397 - [c8]Nadia Tahiri, Bogdan Mazoure, Vladimir Makarenkov:
An intelligent shopping list based on the application of partitioning and machine learning algorithms. SciPy 2019: 85-92 - 2017
- [j26]Iurie Caraus, Bogdan Mazoure, Robert Nadon, Vladimir Makarenkov:
Detecting and removing multiplicative spatial bias in high-throughput screening technologies. Bioinform. 33(20): 3258-3267 (2017) - [j25]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: 29-46 (2017) - [j24]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: 62-72 (2017) - 2016
- [j23]Renato Cordeiro de Amorim, Vladimir Makarenkov:
Applying subclustering and Lp distance in Weighted K-Means with distributed centroids. Neurocomputing 173: 700-707 (2016) - [j22]Renato Cordeiro de Amorim, Vladimir Makarenkov, Boris G. Mirkin:
A-Wardpβ: Effective hierarchical clustering using the Minkowski metric and a fast k-means initialisation. Inf. Sci. 370-371: 343-354 (2016) - [i1]Renato Cordeiro de Amorim, Vladimir Makarenkov, Boris G. Mirkin:
A-Wardpβ: Effective hierarchical clustering using the Minkowski metric and a fast k -means initialisation. CoRR abs/1611.01060 (2016) - 2015
- [j21]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): 974-986 (2015) - [j20]Etienne Lord, Abdoulaye Baniré Diallo, Vladimir Makarenkov:
Classification of bioinformatics workflows using weighted versions of partitioning and hierarchical clustering algorithms. BMC Bioinform. 16: 68:1-68:19 (2015) - 2014
- [j19]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): 81-105 (2014) - [j18]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) - 2013
- [c7]Bruno Daigle, Vladimir Makarenkov, Abdoulaye Baniré Diallo:
Effect of Hundreds Sequenced Genomes on the Classification of Human Papillomaviruses. ECDA 2013: 309-318 - [p5]Alix Boc, Pierre Legendre, Vladimir Makarenkov:
An Efficient Algorithm for the Detection and Classification of Horizontal Gene Transfer Events and Identification of Mosaic Genes. Algorithms from and for Nature and Life 2013: 253-260 - [p4]Vladimir Makarenkov, Plamen Dragiev, Robert Nadon:
A New Effective Method for Elimination of Systematic Error in Experimental High-Throughput Screening. Algorithms from and for Nature and Life 2013: 269-277 - 2012
- [j17]Plamen Dragiev, Robert Nadon, Vladimir Makarenkov:
Two effective methods for correcting experimental high-throughput screening data. Bioinform. 28(13): 1775-1782 (2012) - [j16]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): 573-579 (2012) - 2011
- [j15]Plamen Dragiev, Robert Nadon, Vladimir Makarenkov:
Systematic error detection in experimental high-throughput screening. BMC Bioinform. 12: 25 (2011) - [j14]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): S9 (2011) - [c6]Laszlo Szathmary, Petko Valtchev, Amedeo Napoli, Robert Godin, Alix Boc, Vladimir Makarenkov:
Fast Mining of Iceberg Lattices: A Modular Approach Using Generators. CLA 2011: 191-206 - 2010
- [j13]Abdoulaye Baniré Diallo, Vladimir Makarenkov, Mathieu Blanchette:
Ancestors 1.0: a web server for ancestral sequence reconstruction. Bioinform. 26(1): 130-131 (2010) - [c5]Chérif Mballo, Vladimir Makarenkov:
Using Unsupervised Machine Learning Methods in High-Throughput Screening. DMIN 2010: 392-395
2000 – 2009
- 2009
- [j12]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): 1461-1473 (2009) - 2008
- [c4]Dunarel Badescu, Abdoulaye Baniré Diallo, Mathieu Blanchette, Vladimir Makarenkov:
An Evolutionary Study of the Human Papillomavirus Genomes. RECOMB-CG 2008: 128-142 - 2007
- [j11]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): 1648-1657 (2007) - [j10]Abdoulaye Baniré Diallo, Vladimir Makarenkov, Mathieu Blanchette:
Exact and Heuristic Algorithms for the Indel Maximum Likelihood Problem. J. Comput. Biol. 14(4): 446-461 (2007) - 2006
- [j9]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): 1408-1409 (2006) - [c3]Abdoulaye Baniré Diallo, Vladimir Makarenkov, Mathieu Blanchette:
Finding Maximum Likelihood Indel Scenarios. Comparative Genomics 2006: 171-185 - [p3]Andrei Gagarin, Dmytro Kevorkov, Vladimir Makarenkov, Pablo Zentilli:
Comparison of Two Methods for Detecting and Correcting Systematic Error in High-throughput Screening Data. Data Science and Classification 2006: 241-249 - [p2]Abdoulaye Baniré Diallo, Vladimir Makarenkov, Mathieu Blanchette, François-Joseph Lapointe:
A New Efficient Method for Assessing Missing Nucleotides in DNA Sequences in the Framework of a Generic Evolutionary Model. Data Science and Classification 2006: 333-340 - [p1]Vladimir Makarenkov, Alix Boc, Charles F. Delwiche, Alpha Boubacar Diallo, Hervé Philippe:
New Efficient Algorithm for Modeling Partial and Complete Gene Transfer Scenarios. Data Science and Classification 2006: 341-349 - 2004
- [j8]Vladimir Makarenkov, François-Joseph Lapointe:
A weighted least-squares approach for inferring phylogenies from incomplete distance matrices. Bioinform. 20(13): 2113-2121 (2004) - [j7]Alain Guénoche, Bruno Leclerc, Vladimir Makarenkov:
On the extension of a partial metric to a tree metric. Discret. Math. 276(1-3): 229-248 (2004) - [j6]Vladimir Makarenkov, Pierre Legendre:
From a Phylogenetic Tree to a Reticulated Network. J. Comput. Biol. 11(1): 195-212 (2004) - 2003
- [c2]Alix Boc, Vladimir Makarenkov:
New Efficient Algorithm for Detection of Horizontal Gene Transfer Events. WABI 2003: 190-201 - 2001
- [j5]Vladimir Makarenkov:
T-REX: reconstructing and visualizing phylogenetic trees and reticulation networks. Bioinform. 17(7): 664-668 (2001) - [j4]Vladimir Makarenkov, Pierre Legendre:
Optimal Variable Weighting for Ultrametric and Additive Trees and K -means Partitioning: Methods and Software. J. Classif. 18(2): 245-271 (2001) - 2000
- [j3]Alain Guénoche, Bruno Leclerc, Vladimir Makarenkov:
Generalized trees related with tree metrics. Electron. Notes Discret. Math. 5: 152-154 (2000) - [j2]Vladimir Makarenkov, Bruno Leclerc:
Comparison of Additive Trees Using Circular Orders. J. Comput. Biol. 7(5): 731-744 (2000)
1990 – 1999
- 1998
- [j1]Bruno Leclerc, Vladimir Makarenkov:
On some relations between 2-trees and tree metrics. Discret. Math. 192(1-3): 223-249 (1998) - 1996
- [c1]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: 183-208
Coauthor Index
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