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ORCIDMihaela Breaban
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2020 – today
- 2024
[j3]Fares Bougourzi
, Cosimo Distante, Fadi Dornaika, Abdelmalik Taleb-Ahmed, Abdenour Hadid, Suman Chaudhary, Wanting Yang, Yan Qiang, Talha Anwar, Mihaela Elena Breaban, Chih-Chung Hsu, Shen-Chieh Tai, Shao-Ning Chen, Davide Tricarico, Hafiza Ayesha Hoor Chaudhry, Attilio Fiandrotti, Marco Grangetto, Maria Ausilia Napoli Spatafora, Alessandro Ortis, Sebastiano Battiato:
COVID-19 Infection Percentage Estimation from Computed Tomography Scans: Results and Insights from the International Per-COVID-19 Challenge. Sensors 24(5): 1557 (2024)- [i6]Radu-Andrei Rosu, Mihaela Elena Breaban, Henri Luchian:
Exploring the potential of prototype-based soft-labels data distillation for imbalanced data classification. CoRR abs/2403.17130 (2024) - 2023
- [c32]Mihaela Breaban, Raluca Necula, Dorel Lucanu, Daniel Stamate:
Joint Decision Making in Ant Colony Systems for Solving the Multiple Traveling Salesman Problem. KES 2023: 3498-3507 - [c31]George Stoica, Mihaela Breaban, Vlad Barbu:
Analyzing Domain Shift When Using Additional Data for the MICCAI KiTS23 Challenge. KiTS@MICCAI 2023: 22-29 - [i5]George Stoica, Mihaela Breaban, Vlad Barbu:
Analyzing domain shift when using additional data for the MICCAI KiTS23 Challenge. CoRR abs/2309.02001 (2023) - 2022
- [c30]Radu Miron, Mihaela Elena Breaban:
Revitalizing Regression Tasks Through Modern Training Procedures: Applications in Medical Image Analysis for Covid-19 Infection Percentage Estimation. ICIAP Workshops 2022: 473-482 - [c29]Radu-Andrei Rosu, Mihaela Elena Breaban, Henri Luchian:
Exploring the potential of prototype-based soft-labels data distillation for imbalanced data classification. SYNASC 2022: 173-180 - 2021
- [c28]Vlad-Ioan Lupoaie, Ivona-Alexandra Chili, Madalina Raschip, Mihaela Elena Breaban:
An Evolutionary Approach for Solving Multi-Objective WCSPs Using Mini-Bucket Elimination Heuristics. CEC 2021: 408-415 - [c27]Cosmin Moisii, Radu Miron, Mihaela Breaban:
Identifying tuberculosis type in CTs. CLEF (Working Notes) 2021: 1310-1316 - [c26]Radu Miron, Cosmin Moisii, Sergiu Dinu, Mihaela Elena Breaban:
Evaluating volumetric and slice-based approaches for COVID-19 detection in chest CTs. ICCVW 2021: 529-536 - [i4]Radu Miron, Cosmin Moisii, Sergiu Dinu, Mihaela Breaban:
COVID Detection in Chest CTs: Improving the Baseline on COV19-CT-DB. CoRR abs/2107.04808 (2021) - 2020
- [c25]Radu Miron, Ramona Albert, Mihaela Breaban:
A Two-Stage Atrous Convolution Neural Network for Brain Tumor Segmentation and Survival Prediction. BrainLes@MICCAI (2) 2020: 290-299 - [c24]Radu Miron, Cosmin Moisii, Mihaela Breaban:
Revealing Lung Affections from CTs. A Comparative Analysis of Various Deep Learning Approaches for Dealing with Volumetric Data. CLEF (Working Notes) 2020 - [c23]Robert-Mihail Ungureanu, Mihaela Elena Breaban:
An Evolutionary Distributed Framework for Projection Pursuit. KES 2020: 1023-1032 - [i3]Radu Miron, Cosmin Moisii, Mihaela Breaban:
Revealing Lung Affections from CTs. A Comparative Analysis of Various Deep Learning Approaches for Dealing with Volumetric Data. CoRR abs/2009.04160 (2020)
2010 – 2019
- 2019
- [c22]Vlad-Ioan Lupoaie, Ivona-Alexandra Chili, Mihaela Elena Breaban, Madalina Raschip:
SOM-Guided Evolutionary Search for Solving MinMax Multiple-TSP. CEC 2019: 73-80 - [c21]Cristian Padurariu, Mihaela Elena Breaban:
Dealing with Data Imbalance in Text Classification. KES 2019: 736-745 - [i2]Vlad-Ioan Lupoaie, Ivona-Alexandra Chili, Mihaela Elena Breaban, Madalina Raschip:
SOM-Guided Evolutionary Search for Solving MinMax Multiple-TSP. CoRR abs/1907.11910 (2019) - 2018
- [c20]Diana Minzat, Mihaela Breaban, Henri Luchian:
Modeling real estate dynamics using survival analysis. SYNASC 2018: 215-222 - 2017
- [c19]Raluca Necula, Mihaela Breaban, Madalina Raschip:
Tackling Dynamic Vehicle Routing Problem with Time Windows by means of ant colony system. CEC 2017: 2480-2487 - [i1]Raluca Necula, Mihaela Breaban, Madalina Raschip:
Tackling Dynamic Vehicle Routing Problem with Time Windows by means of Ant Colony System. CoRR abs/1704.01859 (2017) - 2015
- [c18]Raluca Necula, Madalina Raschip, Mihaela Breaban:
Balancing the Subtours for Multiple TSP Approached with ACS: Clustering-Based Approaches Vs. MinMax Formulation. EVOLVE 2015: 210-223 - [c17]Raluca Necula, Mihaela Breaban, Madalina Raschip:
Performance Evaluation of Ant Colony Systems for the Single-Depot Multiple Traveling Salesman Problem. HAIS 2015: 257-268 - [c16]Raluca Necula, Mihaela Breaban, Madalina Raschip:
Tackling the Bi-criteria Facet of Multiple Traveling Salesman Problem with Ant Colony Systems. ICTAI 2015: 873-880 - [c15]Mihaela Elena Breaban, Adrian Iftene:
Dynamic Objective Sampling in Many-objective Optimization. KES 2015: 178-187 - 2013
- [j2]Mihaela Breaban, Henri Luchian:
Outlier Detection with Nonlinear Projection Pursuit. Int. J. Comput. Commun. Control 8(1): 30-36 (2013) - [c14]Cristina Serban, Alexandra Siriteanu, Claudia Gheorghiu, Adrian Iftene, Lenuta Alboaie, Mihaela Breaban:
Combining Image Retrieval, Metadata Processing and Naive Bayes Classification at Plant Identification 2013. CLEF (Working Notes) 2013 - [c13]Mihaela Elena Breaban:
Multiobjective Projection Pursuit for Semisupervised Feature Extraction. EvoApplications 2013: 324-333 - 2012
- [c12]Mihaela Elena Breaban, Henri Luchian, Dan A. Simovici:
A Genetic Clustering Algorithm by Monomial Projection Pursuit. SYNASC 2012: 214-219 - 2011
- [j1]Mihaela Breaban, Henri Luchian:
A unifying criterion for unsupervised clustering and feature selection. Pattern Recognit. 44(4): 854-865 (2011) - [c11]Mihaela Breaban, Henri Luchian, Dan A. Simovici:
Entropic-Genetic Clustering. EGC 2011: 71-76 - [c10]Mihaela Elena Breaban, Henri Luchian:
PSO aided k-means clustering: introducing connectivity in k-means. GECCO 2011: 1227-1234 - 2010
- [c9]Mihaela Elena Breaban:
Evolving Ensembles of Feature Subsets towards Optimal Feature Selection for Unsupervised and Semi-supervised Clustering. IEA/AIE (2) 2010: 67-76 - [c8]Mihaela Elena Breaban:
Optimized Ensembles for Clustering Noisy Data. LION 2010: 220-223
2000 – 2009
- 2009
- [c7]Mihaela Breaban, Lenuta Alboaie, Henri Luchian:
Guiding users within trust networks using swarm algorithms. IEEE Congress on Evolutionary Computation 2009: 1770-1777 - [c6]Mihaela Elena Breaban, Henri Luchian:
Unsupervised feature weighting with multi niche crowding genetic algorithms. GECCO 2009: 1163-1170 - 2008
- [c5]Mihaela Breaban, Silvia Luchian:
Shaping Up Clusters with PSO. SYNASC 2008: 532-537 - 2007
- [c4]Mihaela Breaban, Madalina Ionita, Cornelius Croitoru:
A new PSO approach to constraint satisfaction. IEEE Congress on Evolutionary Computation 2007: 1948-1954 - 2006
- [c3]Madalina Ionita, Cornelius Croitoru, Mihaela Breaban:
Incorporating Inference into Evolutionary Algorithms for Max-CSP. Hybrid Metaheuristics 2006: 139-149 - [c2]Madalina Ionita, Mihaela Breaban, Cornelius Croitoru:
A New Scheme of Using Inference Inside Evolutionary Computation Techniques to Solve CSPs. SYNASC 2006: 323-329 - 2005
- [c1]Mihaela Breaban, Henri Luchian:
PSO under an adaptive scheme. Congress on Evolutionary Computation 2005: 1212-1217
Coauthor Index
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last updated on 2024-11-07 21:35 CET by the dblp team
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