PSO under an adaptive scheme. - Mihaela Breaban; Henri Luchian (Congress on Evolutionary Computation, 2005)

Incorporating Inference into Evolutionary Algorithms for Max-CSP. - Madalina Ionita; Cornelius Croitoru; Mihaela Breaban (Hybrid Metaheuristics, 2006)

A New Scheme of Using Inference Inside Evolutionary Computation Techniques to Solve CSPs. - Madalina Ionita; Mihaela Breaban; Cornelius Croitoru (SYNASC, 2006)

A new PSO approach to constraint satisfaction. - Mihaela Breaban; Madalina Ionita; Cornelius Croitoru (IEEE Congress on Evolutionary Computation, 2007)

Shaping Up Clusters with PSO. - Mihaela Breaban; Silvia Luchian (SYNASC, 2008)

Guiding users within trust networks using swarm algorithms. - Mihaela Breaban; Lenuta Alboaie; Henri Luchian (IEEE Congress on Evolutionary Computation, 2009)

Unsupervised feature weighting with multi niche crowding genetic algorithms. - Mihaela Elena Breaban; Henri Luchian (GECCO, 2009)

Evolving Ensembles of Feature Subsets towards Optimal Feature Selection for Unsupervised and Semi-supervised Clustering. - Mihaela Elena Breaban (IEA/AIE (2), 2010)

Optimized Ensembles for Clustering Noisy Data. - Mihaela Elena Breaban (LION, 2010)

Entropic-Genetic Clustering. - Mihaela Breaban; Henri Luchian; Dan A. Simovici (EGC, 2011)

PSO aided k-means clustering: introducing connectivity in k-means. - Mihaela Elena Breaban; Henri Luchian (GECCO, 2011)

A unifying criterion for unsupervised clustering and feature selection. - Mihaela Breaban; Henri Luchian (Pattern Recognit., 2011)

A Genetic Clustering Algorithm by Monomial Projection Pursuit. - Mihaela Elena Breaban; Henri Luchian; Dan A. Simovici (SYNASC, 2012)

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 (CLEF (Working Notes), 2013)

Multiobjective Projection Pursuit for Semisupervised Feature Extraction. - Mihaela Elena Breaban (EvoApplications, 2013)

Outlier Detection with Nonlinear Projection Pursuit. - Mihaela Breaban; Henri Luchian (Int. J. Comput. Commun. Control, 2013)

Balancing the Subtours for Multiple TSP Approached with ACS: Clustering-Based Approaches Vs. MinMax Formulation. - Raluca Necula; Madalina Raschip; Mihaela Breaban (EVOLVE, 2015)

Performance Evaluation of Ant Colony Systems for the Single-Depot Multiple Traveling Salesman Problem. - Raluca Necula; Mihaela Breaban; Madalina Raschip (HAIS, 2015)

Tackling the Bi-criteria Facet of Multiple Traveling Salesman Problem with Ant Colony Systems. - Raluca Necula; Mihaela Breaban; Madalina Raschip (ICTAI, 2015)

Dynamic Objective Sampling in Many-objective Optimization. - Mihaela Elena Breaban; Adrian Iftene (KES, 2015)

Tackling Dynamic Vehicle Routing Problem with Time Windows by means of ant colony system. - Raluca Necula; Mihaela Breaban; Madalina Raschip (CEC, 2017)

Modeling real estate dynamics using survival analysis. - Diana Minzat; Mihaela Breaban; Henri Luchian (SYNASC, 2018)

SOM-Guided Evolutionary Search for Solving MinMax Multiple-TSP. - Vlad-Ioan Lupoaie; Ivona-Alexandra Chili; Mihaela Elena Breaban; Madalina Raschip (CEC, 2019)

Dealing with Data Imbalance in Text Classification. - Cristian Padurariu; Mihaela Elena Breaban (KES, 2019)

A Two-Stage Atrous Convolution Neural Network for Brain Tumor Segmentation and Survival Prediction. - Radu Miron 002; Ramona Albert; Mihaela Breaban (BrainLes@MICCAI (2), 2020)

Revealing Lung Affections from CTs. A Comparative Analysis of Various Deep Learning Approaches for Dealing with Volumetric Data. - Radu Miron 002; Cosmin Moisii; Mihaela Breaban (CLEF (Working Notes), 2020)

An Evolutionary Distributed Framework for Projection Pursuit. - Robert-Mihail Ungureanu; Mihaela Elena Breaban (KES, 2020)

An Evolutionary Approach for Solving Multi-Objective WCSPs Using Mini-Bucket Elimination Heuristics. - Vlad-Ioan Lupoaie; Ivona-Alexandra Chili; Madalina Raschip; Mihaela Elena Breaban (CEC, 2021)

Identifying tuberculosis type in CTs. - Cosmin Moisii; Radu Miron 002; Mihaela Breaban (CLEF (Working Notes), 2021)

Evaluating volumetric and slice-based approaches for COVID-19 detection in chest CTs. - Radu Miron 002; Cosmin Moisii; Sergiu Dinu; Mihaela Elena Breaban (ICCVW, 2021)

COVID Detection in Chest CTs: Improving the Baseline on COV19-CT-DB. - Radu Miron 002; Cosmin Moisii; Sergiu Dinu; Mihaela Breaban (CoRR, 2021)

Revitalizing Regression Tasks Through Modern Training Procedures: Applications in Medical Image Analysis for Covid-19 Infection Percentage Estimation. - Radu Miron 002; Mihaela Elena Breaban (ICIAP Workshops, 2022)

Exploring the potential of prototype-based soft-labels data distillation for imbalanced data classification. - Radu-Andrei Rosu; Mihaela Elena Breaban; Henri Luchian (SYNASC, 2022)

Joint Decision Making in Ant Colony Systems for Solving the Multiple Traveling Salesman Problem. - Mihaela Breaban; Raluca Necula; Dorel Lucanu; Daniel Stamate (KES, 2023)

Analyzing Domain Shift When Using Additional Data for the MICCAI KiTS23 Challenge. - George Stoica; Mihaela Breaban; Vlad Barbu (KiTS@MICCAI, 2023)

Solving Min-Max MTSP in a Reinforcement Learning context. - Anda Buinoschi-Tîrpescu; Mihaela Elena Breaban (KES, 2024)

Integral Bone Age Regression. - Serban-Gabriel Doncean; Vlad Barbu; Roxana Balcan; Radu Miron 002; Mihaela Elena Breaban (KES, 2024)

Advanced methods for dealing with high data imbalance for Embryo Fertility Classification. - Doru-Razvan Panaite; Vlad Barbu; Radu-Andrei Rosu; George Stoica; Serban-Gabriel Doncean; Mihaela Elena Breaban (KES, 2024)

Automatic diagnosis of liver masses in Computed Tomography scans. - Radu-Andrei Rosu; Doru-Razvan Panaite; Roxana Mihaela Balcan; George Stoica; Vlad Barbu; Serban-Gabriel Doncean; Emanuel Gavriliuc; Mihaela Elena Breaban (KES, 2024)

A Dual-Approach for AI-Generated Text Detection. - Cristian-Stelian Grecu; Mihaela Elena Breaban (SYNASC, 2024)

MACE: Malware Analysis and Clustering Engine. - Andrei Zaborila; Mihaela Elena Breaban; Dorel Lucanu (SYNASC, 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; et al. (Sensors, 2024)

bs-scheduler: A Batch Size Scheduler library compatible with PyTorch DataLoaders. - George Stoica; Mihaela Elena Breaban (SoftwareX, 2025)