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Mihaela Breaban
Mihaela Breaban
Verified email at info.uaic.ro
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Cited by
Year
A unifying criterion for unsupervised clustering and feature selection
M Breaban, H Luchian
Pattern Recognition 44 (4), 854-865, 2011
802011
Dealing with Data Imbalance in Text Classification
C Padurariu, ME Breaban
Procedia Computer Science 159, 736-745, 2019
482019
Artificial intelligent approaches in petroleum geosciences
C Cranganu, H Luchian, ME Breaban
Springer International Publishing, 2015
392015
Tackling the bi-criteria facet of multiple traveling salesman problem with ant colony systems
R Necula, M Breaban, M Raschip
2015 IEEE 27th International Conference on Tools with Artificial …, 2015
352015
Tackling Dynamic Vehicle Routing Problem with Time Windows by means of ant colony system
R Necula, M Breaban, M Raschip
2017 IEEE Congress on Evolutionary Computation (CEC), 2480-2487, 2017
312017
Performance evaluation of ant colony systems for the single-depot multiple traveling salesman problem
R Necula, M Breaban, M Raschip
International Conference on Hybrid Artificial Intelligence Systems, 257-268, 2015
302015
Using support vector regression to estimate sonic log distributions: A case study from the Anadarko Basin, Oklahoma
C Cranganu, M Breaban
Journal of Petroleum Science and Engineering 103, 1-13, 2013
302013
A new PSO approach to constraint satisfaction
M Breaban, M Ionita, C Croitoru
2007 IEEE Congress on Evolutionary Computation, 1948-1954, 2007
162007
Outlier detection with nonlinear projection pursuit
M Breaban, H Luchian
International Journal of Computers Communications & Control 8 (1), 30-36, 2012
142012
PSO under an adaptive scheme
M Breaban, H Luchian
2005 IEEE Congress on Evolutionary Computation 2, 1212-1217, 2005
112005
Combining Image Retrieval, Metadata Processing and Naive Bayes Classification at Plant Identification 2013.
C Serban, A Siriteanu, C Gheorghiu, A Iftene, L Alboaie, M Breaban
CLEF (Working Notes), 2013
92013
Incorporating inference into evolutionary algorithms for max-csp
M Ionita, C Croitoru, M Breaban
International Workshop on Hybrid Metaheuristics, 139-149, 2006
92006
Balancing the Subtours for Multiple TSP Approached with ACS: Clustering-based Approaches vs. MinMax Formulation
R Necula, M Raschip, M Breaban
EVOLVE-A Bridge between Probability, Set Oriented Numerics, and Evolutionary …, 2018
82018
Guiding users within trust networks using swarm algorithms
M Breaban, L Alboaie, H Luchian
2009 IEEE Congress on Evolutionary Computation, 1770-1777, 2009
82009
Revealing Lung Affections from CTs. A Comparative Analysis of Various Deep Learning Approaches for Dealing with Volumetric Data
R Miron, C Moisii, M Breaban
Working Notes of CLEF 2020 - Conference and Labs of the Evaluation Forum, 2020
72020
SOM-Guided Evolutionary Search for Solving MinMax Multiple-TSP
VI Lupoaie, IA Chili, ME Breaban, M Raschip
2019 IEEE Congress on Evolutionary Computation (CEC), 73-80, 2019
72019
PSO aided k-means clustering: introducing connectivity in k-means
ME Breaban, H Luchian
Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011
62011
Unsupervised feature weighting with multi niche crowding genetic algorithms
ME Breaban, H Luchian
Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009
62009
Dynamic Objective Sampling in Many-objective Optimization
ME Breaban, A Iftene
Procedia Computer Science 60, 178-187, 2015
52015
On Meta-heuristics in Optimization and Data Analysis. Application to Geosciences
H Luchian, ME Breaban, A Bautu
Artificial Intelligent Approaches in Petroleum Geosciences, 53-100, 2015
52015
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