Mihaela Breaban

According to our database, Mihaela Breaban authored at least 36 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

COVID-19 Infection Percentage Estimation from Computed Tomography Scans: Results and Insights from the International Per-COVID-19 Challenge.

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

Sensors, March, 2024

2023

Analyzing Domain Shift When Using Additional Data for the MICCAI KiTS23 Challenge.

George Stoica, Mihaela Breaban, Vlad Barbu

Proceedings of the Kidney and Kidney Tumor Segmentation - MICCAI 2023 Challenge, 2023

Joint Decision Making in Ant Colony Systems for Solving the Multiple Traveling Salesman Problem.

Mihaela Breaban, Raluca Necula, Dorel Lucanu, Daniel Stamate

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

2022

Exploring the potential of prototype-based soft-labels data distillation for imbalanced data classification.

Radu-Andrei Rosu, Mihaela Elena Breaban, Henri Luchian

Proceedings of the 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2022

Revitalizing Regression Tasks Through Modern Training Procedures: Applications in Medical Image Analysis for Covid-19 Infection Percentage Estimation.

Radu Miron, Mihaela Elena Breaban

Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

2021

COVID Detection in Chest CTs: Improving the Baseline on COV19-CT-DB.

Radu Miron, Cosmin Moisii, Sergiu Dinu, Mihaela Breaban

CoRR, 2021

Evaluating volumetric and slice-based approaches for COVID-19 detection in chest CTs.

Radu Miron, Cosmin Moisii, Sergiu Dinu, Mihaela Elena Breaban

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Identifying tuberculosis type in CTs.

Cosmin Moisii, Radu Miron, Mihaela Breaban

Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

An Evolutionary Approach for Solving Multi-Objective WCSPs Using Mini-Bucket Elimination Heuristics.

Vlad-Ioan Lupoaie, Ivona-Alexandra Chili, Madalina Raschip, Mihaela Elena Breaban

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

An Evolutionary Distributed Framework for Projection Pursuit.

Robert-Mihail Ungureanu, Mihaela Elena Breaban

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020

Revealing Lung Affections from CTs. A Comparative Analysis of Various Deep Learning Approaches for Dealing with Volumetric Data.

Radu Miron, Cosmin Moisii, Mihaela Breaban

Proceedings of the Working Notes of CLEF 2020, 2020

A Two-Stage Atrous Convolution Neural Network for Brain Tumor Segmentation and Survival Prediction.

Radu Miron, Ramona Albert, Mihaela Breaban

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019

Dealing with Data Imbalance in Text Classification.

Cristian Padurariu, Mihaela Elena Breaban

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019

SOM-Guided Evolutionary Search for Solving MinMax Multiple-TSP.

Vlad-Ioan Lupoaie, Ivona-Alexandra Chili, Mihaela Elena Breaban, Madalina Raschip

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

Modeling real estate dynamics using survival analysis.

Diana Minzat, Mihaela Breaban, Henri Luchian

Proceedings of the 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2018

2017

Tackling Dynamic Vehicle Routing Problem with Time Windows by means of ant colony system.

Raluca Necula, Mihaela Breaban, Madalina Raschip

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2015

Dynamic Objective Sampling in Many-objective Optimization.

Mihaela Elena Breaban, Adrian Iftene

Proceedings of the 19th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2015

Tackling the Bi-criteria Facet of Multiple Traveling Salesman Problem with Ant Colony Systems.

Raluca Necula, Mihaela Breaban, Madalina Raschip

Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Performance Evaluation of Ant Colony Systems for the Single-Depot Multiple Traveling Salesman Problem.

Raluca Necula, Mihaela Breaban, Madalina Raschip

Proceedings of the Hybrid Artificial Intelligent Systems - 10th International Conference, 2015

Balancing the Subtours for Multiple TSP Approached with ACS: Clustering-Based Approaches Vs. MinMax Formulation.

Raluca Necula, Madalina Raschip, Mihaela Breaban

Proceedings of the EVOLVE, 2015

2013

Outlier Detection with Nonlinear Projection Pursuit.

Mihaela Breaban, Henri Luchian

Int. J. Comput. Commun. Control, 2013

Multiobjective Projection Pursuit for Semisupervised Feature Extraction.

Mihaela Elena Breaban

Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013

Combining Image Retrieval, Metadata Processing and Naive Bayes Classification at Plant Identification 2013.

Cristina Serban, Alexandra Siriteanu, Claudia Gheorghiu, Adrian Iftene, Lenuta Alboaie, Mihaela Breaban

Proceedings of the Working Notes for CLEF 2013 Conference , 2013

2012

A Genetic Clustering Algorithm by Monomial Projection Pursuit.

Mihaela Elena Breaban, Henri Luchian, Dan A. Simovici

Proceedings of the 14th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2012

2011

A unifying criterion for unsupervised clustering and feature selection.

Mihaela Breaban, Henri Luchian

Pattern Recognit., 2011

PSO aided k-means clustering: introducing connectivity in k-means.

Mihaela Elena Breaban, Henri Luchian

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Entropic-Genetic Clustering.

Mihaela Breaban, Henri Luchian, Dan A. Simovici

Proceedings of the Extraction et gestion des connaissances (EGC'2011), 2011

2010

Optimized Ensembles for Clustering Noisy Data.

Mihaela Elena Breaban

Proceedings of the Learning and Intelligent Optimization, 4th International Conference, 2010

Evolving Ensembles of Feature Subsets towards Optimal Feature Selection for Unsupervised and Semi-supervised Clustering.

Mihaela Elena Breaban

Proceedings of the Trends in Applied Intelligent Systems, 2010

2009

Unsupervised feature weighting with multi niche crowding genetic algorithms.

Mihaela Elena Breaban, Henri Luchian

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Guiding users within trust networks using swarm algorithms.

Mihaela Breaban, Lenuta Alboaie, Henri Luchian

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008

Shaping Up Clusters with PSO.

Mihaela Breaban, Silvia Luchian

Proceedings of the SYNASC 2008, 2008

2007

A new PSO approach to constraint satisfaction.

Mihaela Breaban, Madalina Ionita, Cornelius Croitoru

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006

A New Scheme of Using Inference Inside Evolutionary Computation Techniques to Solve CSPs.

Madalina Ionita, Mihaela Breaban, Cornelius Croitoru

Proceedings of the 8th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2006), 2006

Incorporating Inference into Evolutionary Algorithms for Max-CSP.

Madalina Ionita, Cornelius Croitoru, Mihaela Breaban

Proceedings of the Hybrid Metaheuristics, Third International Workshop, 2006

2005

PSO under an adaptive scheme.

Mihaela Breaban, Henri Luchian

Proceedings of the IEEE Congress on Evolutionary Computation, 2005