A multi-objective evolutionary approach to the portfolio optimization problem. - Laura Diosan (CIMCA/IAWTIC, 2005)

A New Nature-Inspired Computation Model Ising Model with Rays. - Delia David; Laura Diosan; Dumitru Dumitrescu (SYNASC, 2005)

Evolving Crossover Operators for Function Optimization. - Laura Diosan; Mihai Oltean (EuroGP, 2006)

Evolving the Structure of the Particle Swarm Optimization Algorithms. - Laura Diosan; Mihai Oltean (EvoCOP, 2006)

Solving the even-n-parity problems using Best SubTree Genetic Programming. - Oana Muntean; Laura Diosan; Mihai Oltean (AHS, 2007)

Evolving evolutionary algorithms using evolutionary algorithms. - Laura Diosan; Mihai Oltean (GECCO (Companion), 2007)

Observing the swarm behaviour during its evolutionary design. - Laura Diosan; Mihai Oltean (GECCO (Companion), 2007)

Genetically designed multiple-kernels for improving the SVM performance. - Laura Diosan; Mihai Oltean; Alexandrina Rogozan; Jean-Pierre Pécuchet (GECCO, 2007)

Best SubTree genetic programming. - Oana Muntean; Laura Diosan; Mihai Oltean (GECCO, 2007)

Improving SVM Performance Using a Linear Combination of Kernels. - Laura Diosan; Mihai Oltean; Alexandrina Rogozan; Jean-Pierre Pécuchet (ICANNGA (2), 2007)

Evolving kernel functions for SVMs by genetic programming. - Laura Diosan; Alexandrina Rogozan; Jean-Pierre Pécuchet (ICMLA, 2007)

Who's better? PESA or NSGA II? - Laura Diosan; Mihai Oltean (ISDA, 2007)

A Hybrid Genetic Algorithm Based on the Potts System. - Laura Diosan; Dumitru Dumitrescu (SYNASC, 2007)

Evolving the Update Strategy of the Particle Swarm Optimisation Algorithms. - Laura Diosan; Mihai Oltean (Int. J. Artif. Intell. Tools, 2007)

Automatic alignment of medical vs. general terminologies. - Laura Diosan; Alexandrina Rogozan; Jean-Pierre Pécuchet (ESANN, 2008)

Optimising Multiple Kernels for SVM by Genetic Programming. - Laura Diosan; Alexandrina Rogozan; Jean-Pierre Pécuchet (EvoCOP, 2008)

Apport des traitements morphosyntaxiques pour l'alignement des définitions par une classification SVM. - Laura Diosan; Alexandrina Rogozan; Jean-Pierre Pécuchet (EGC, 2008)

An Adaptive GP Strategy for Evolving Digital Circuits. - Mihai Oltean; Laura Diosan (KES (3), 2008)

Evolutionary Optimisation of Kernel and Hyper-Parameters for SVM. - Laura Diosan; Alexandrina Rogozan; Jean-Pierre Pécuchet (MCO, 2008)

Automatic Alignment of Medical Terminologies with General Dictionaries for an Efficient Information Retrieval. - Laura Diosan; Alexandrina Rogozan; Jean-Pierre Pécuchet (Information Retrieval in Biomedicine, 2009)

An autonomous GP-based system for regression and classification problems. - Mihai Oltean; Laura Diosan (Appl. Soft Comput., 2009)

Evolutionary design of Evolutionary Algorithms. - Laura Diosan; Mihai Oltean (Genet. Program. Evolvable Mach., 2009)

Genetic Programming with Linear Representation: a Survey. - Mihai Oltean; Crina Grosan; Laura Diosan; Cristina Mihaila (Int. J. Artif. Intell. Tools, 2009)

Learning SVM with Complex Multiple Kernels Evolved by Genetic Programming. - Laura Diosan; Alexandrina Rogozan; Jean-Pierre Pécuchet (Int. J. Artif. Intell. Tools, 2010)

Friction-based sorting. - Laura Diosan; Mihai Oltean (Nat. Comput., 2011)

Improving classification performance of Support Vector Machine by genetically optimising kernel shape and hyper-parameters. - Laura Diosan; Alexandrina Rogozan; Jean-Pierre Pécuchet (Appl. Intell., 2012)

Pedestrian Recognition by Using a Kernel-Based Multi-modality Approach. - Adela-Maria Sirbu; Alexandrina Rogozan; Laura Diosan; Abdelaziz Bensrhair (SYNASC, 2014)

Pedestrian recognition using a dynamic modality fusion approach. - Adela-Maria Rus; Alexandrina Rogozan; Laura Diosan; Abdelaziz Bensrhair (ICCP, 2015)

Pedestrian Recognition by Using a Dynamic Modality Selection Approach. - Adela-Maria Rus; Alexandrina Rogozan; Laura Diosan; Abdelaziz Bensrhair (ITSC, 2015)

Multi-objective breast cancer classification by using multi-expression programming. - Laura Diosan; Anca Andreica (Appl. Intell., 2015)

Exploring various neighborhoods in Cellular Automata for image segmentation. - Anca Andreica; Laura Diosan; Andreea Sandor (ICCP, 2016)

Multiclass classification based on clustering approaches for obstacle recognition in traffic scenes. - Roxana Mocan; Laura Diosan (ICCP, 2016)

Parameterized Cellular Automata in Image Segmentation. - Anca Andreica; Laura Diosan; Irina Voiculescu (SYNASC, 2016)

Avenues for the Use of Cellular Automata in Image Segmentation. - Laura Diosan; Anca Andreica; Imre Boros; Irina Voiculescu (EvoApplications (1), 2017)

Requirement dependencies-based formal approach for test case prioritization in regression testing. - Andreea Vescan; Camelia Serban; Camelia Chisalita-Cretu; Laura Diosan (ICCP, 2017)

Dynamic autonomous image segmentation based on Grow Cut. - Ion Alexandru Marinescu; Zoltán Bálint; Laura Diosan; Anca Andreica (ESANN, 2018)

Evolving Cellular Automata for Two-Stage Edge Detection. - Alina Enescu; Anca Andreica; Laura Diosan (SYNASC, 2018)

Unsupervised and Fully Autonomous 3D Medical Image Segmentation Based on Grow Cut. - Alexandru-Ion Marinescu; Zoltán Bálint; Laura-Silvia Diosan; Anca-Mirela Andreica (SYNASC, 2018)

Parallel Acceleration of Subgraph Enumeration in the Process of Network Motif Detection. - Bogdan Eduard-Madalin Mursa; Anca Andreica; Laura Diosan (SYNASC, 2018)

A four-Phase Meta-Heuristic Algorithm for Solving Large Scale Instances of the Shift Minimization Personnel Task Scheduling Problem. - Sebastian Nechita; Laura Diosan (SYNASC, 2018)

Study of Connection between articulation Points and Network motifs in Complex Networks. - Bogdan Eduard-Madalin Mursa; Anca Andreica; Laura Diosan (ECIS, 2019)

Evolved cellular automata for edge detection. - Alina Enescu; Anca Andreica; Laura Diosan (GECCO (Companion), 2019)

Mining Network Motif Discovery by Learning Techniques. - Bogdan Eduard-Madalin Mursa; Anca Andreica; Laura Diosan (HAIS, 2019)

Evolved Cellular Automata for Edge Detection in Binary Images. - Alina Enescu; Anca Andreica; Laura Diosan (ICCP, 2019)

An initial study of feature extraction's methods in facial expression recognition. - Toma Sînziana; Tolciu Tudor; Matei Cristian; Laura Diosan (ICCP, 2019)

An Analysis System for Mobile Applications MVC Software Architectures. - Dragos Dobrean; Laura Diosan (ICSOFT, 2019)

An empirical analysis of the correlation between the motifs frequency and the topological properties of complex networks. - Bogdan Eduard-Madalin Mursa; Anca Andreica; Laura Diosan (KES, 2019)

Model View Controller in iOS mobile applications development. - Dragos Dobrean; Laura Diosan (SEKE, 2019)

Artificial intelligence meets software engineering in the classroom. - Laura Diosan; Simona Motogna (EASEAI@ESEC/SIGSOFT FSE, 2019)

Particle Swarm Optimization of Cellular Automata Rules for Edge Detection. - Delia Dumitru; Anca Andreica; Laura Diosan; Zoltán Bálint (SYNASC, 2019)

Evolved Cellular Automata for Edge Detection in Grayscale Images. - Alina Enescu; Anca Andreica; Laura Diosan (SYNASC, 2019)

Autonomous Image Segmentation by Competitive Unsupervised GrowCut. - Radu Marginean; Anca Andreica; Laura Diosan; Zoltán Bálint (SYNASC, 2019)

Evolutionary curriculum learning approach for transferable cellular automata rule optimization. - Delia Dumitru; Anca Andreica; Laura Diosan; Zoltán Bálint (GECCO Companion, 2020)

Hybrid Features for Twitter Sentiment Analysis. - Sergiu Limboi; Laura Diosan (ICAISC (2), 2020)

Detecting Model View Controller Architectural Layers using Clustering in Mobile Codebases. - Dragos Dobrean; Laura Diosan (ICSOFT, 2020)

Robustness analysis of transferable cellular automata rules optimized for edge detection. - Delia Dumitru; Anca Andreica; Laura Diosan; Zoltán Bálint (KES, 2020)

Unsupervised Edge Detector based on Evolved Cellular Automata. - Alina Enescu; Delia Dumitru; Anca Andreica; Laura Diosan (KES, 2020)

A Step Towards Preschoolers' Satisfaction Assessment Support by Facial Expression Emotions Identification. - Adriana Mihaela Guran; Grigoreta Sofia Cojocar; Laura Diosan (KES, 2020)

Butterfly Effect in Chaotic Image Segmentation. - Radu Marginean; Anca Andreica; Laura Diosan; Zoltán Bálint (Entropy, 2020)

A Hybrid Approach to MVC Architectural Layers Analysis. - Dragos Dobrean; Laura Diosan (ENASE, 2021)

Validating HyDe: Intelligent Method for Inferring Software Architectures from Mobile Codebase. - Dragos Dobrean; Laura Diosan (ENASE (Selected Papers), 2021)

On the use of evolutionary algorithms for test case prioritization in regression testing considering requirements dependencies. - Andreea Vescan; Camelia Chisalita-Cretu; Camelia Serban; Laura Diosan (AISTA@ISSTA, 2021)

Towards Smart Edutainment Applications for Young Children. A Proposal. - Adriana Mihaela Guran; Grigoreta Sofia Cojocar; Laura-Silvia Diosan (ITS, 2021)

Mammography Lesion Detection Using an Improved GrowCut Algorithm. - Cristiana Moroz-Dubenco; Laura Diosan; Anca Andreica (KES, 2021)

Towards Accessibility in Education through Smart Speakers. An ontology based approach. - Ioana-Alexandra Todericiu; Camelia Serban; Laura Diosan (KES, 2021)

Importance of software architectures in mobile projects. - Dragos Dobrean; Laura Diosan (SACI, 2021)

A Transfer Learning Approach on the Optimization of Edge Detectors for Medical Images Using Particle Swarm Optimization. - Delia Dumitru; Laura Diosan; Anca Andreica; Zoltán Bálint (Entropy, 2021)

Network motifs: A key variable in the equation of dynamic flow between macro and micro layers in Complex Networks. - Bogdan Eduard-Madalin Mursa; Laura Diosan; Anca Andreica (Knowl. Based Syst., 2021)

The Twitter-Lex Sentiment Analysis System. - Sergiu Limboi; Laura Diosan (KDIR, 2022)

A Lexicon-based Feature for Twitter Sentiment Analysis. - Sergiu Limboi; Laura Diosan (ICCP, 2022)

A Hybrid Complexity Metric in Automatic Software Defects Prediction. - Laura Diana Cernau; Laura Diosan; Camelia Serban (ICSOFT, 2022)

An unsupervised approach for Twitter Sentiment Analysis of USA 2020 Presidential Election. - Sergiu Limboi; Laura Diosan (INISTA, 2022)

On What Kind of Applications Can Clustering Be Used for Inferring MVC Architectural Layers? - Dragos Dobrean; Laura Diosan (ISD, 2022)

A pedagogical approach in interleaving software quality concerns at an artificial intelligence course. - Laura Diana Cernau; Laura-Silvia Diosan; Camelia Serban (EASEAI@ESEC/SIGSOFT FSE, 2022)

The Impact of Convolutional Neural Network Parameters in the Binary Classification of Mammograms. - Madalina Dicu; Laura Diosan; Anca Andreica; Camelia Chira; Alin Cordos (SYNASC, 2022)

An Evaluation of Image Texture Descriptors and their Invariant Properties. - Roxana Sipos-Lascu; Laura-Silvia Diosan (SYNASC, 2022)

Pathways for statically mining the Model-View-Controller software architecture on mobile applications. - Dragos Dobrean; Laura Diosan (Soft Comput., 2022)

Generalizing an Improved GrowCut Algorithm for Mammography Lesion Detection. - Cristiana Moroz-Dubenco; Laura Diosan; Anca Andreica (HAIS, 2023)

Towards an Unsupervised GrowCut Algorithm for Mammography Segmentation. - Cristiana Moroz-Dubenco; Laura Diosan; Anca Andreica (ICVS, 2023)

Railway Switch Classification Using Deep Neural Networks. - Andrei-Robert Alexandrescu; Alexandru Manole; Laura Diosan (VISIGRAPP (4: VISAPP), 2023)

PyResolveMetrics: A Standards-Compliant and Efficient Approach to Entity Resolution Metrics. - Andrei Olar; Laura Diosan (CSEDU (1), 2024)

Quiz-Ifying Education: Exploring the Power of Virtual Assistants. - Ioana-Alexandra Todericiu; Mihai Daniel Pop; Camelia Serban; Laura Diosan (CSEDU (2), 2024)

Active Learning for Railway Semantic Segmentation through Ant Colony Optimization. - Andrei-Robert Alexandrescu; Laura Diosan (KES, 2024)

Exploring the Fusion of CNNs and Textural Features in Mammogram Interpretation. - Bianca Iacob; Laura Diosan (KES, 2024)

Bridging Linguistic Gaps: SENTIROM's Approach to Romanian Sentiment Analysis. - Andra-Gabriela Ursa; Laura-Silvia Diosan (KES, 2024)

ContRail: A Framework for Realistic Railway Image Synthesis using ControlNet. - Andrei-Robert Alexandrescu; Razvan-Gabriel Petec; Alexandru Manole; Laura-Silvia Diosan (CoRR, 2024)

Challenges in Software Metrics Adoption: Insights from Cluj-Napoca's Development Community. - Laura Diana Cernau; Laura Diosan; Camelia Serban (ENASE, 2025)

Explaining Mammographic Texture: The Role of View and Abnormality Type in Early Cancer Diagnosis. - Bianca Iacob; Laura Diosan (ICAART (3), 2025)

Alexa and Copilot: A Tale of Two Assistants. - Ioana-Alexandra Todericiu; Laura Diosan; Camelia Serban (ICAART (1), 2025)

Synthetic Data Generation Using Large Language Models: Advances in Text and Code. - Mihai Nadas; Laura Diosan; Andreea Tomescu (IEEE Access, 2025)

Value of Original and Generated Ultrasound Data Towards Training Robust Classifiers for Breast Cancer Identification. - Bianca-Stefania Munteanu; Alexandra Murariu; Marioara Nichitean; Luminita-Gabriela Pitac; Laura Diosan (Inf. Syst. Frontiers, 2025)

UOLO: A Multitask U-Net YOLO Hybrid Model for Railway Scene Understanding. - Alexandru Manole; Laura-Silvia Diosan (IEEE Trans. Intell. Veh., 2025)

Unveiling Hybrid Cyclomatic Complexity: A Comprehensive Analysis and Evaluation as an Integral Feature in Automatic Defect Prediction Models. - Laura Diana Cernau; Laura Diosan; Camelia Serban (CoRR, 2025)

TF1-EN-3M: Three Million Synthetic Moral Fables for Training Small, Open Language Models. - Mihai Nadas; Laura Diosan; Andrei Piscoran; Andreea Tomescu (CoRR, 2025)