Laura Diosan - RankMe

92 papers A 2B 22C 8Misc 14Journal 21Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Analysis of Multi-Task Architectures for the Hierarchic Multi-Label Problem of Vehicle Model and Make Classification. CoRR Alexandru Manole, Laura Diosan
2026	J	`jnl`	TF3-RO-50M: Training Compact Romanian Language Models from Scratch on Synthetic Moral Microfiction. CoRR Mihai Nadas, Laura Diosan, Andreea Tomescu, Andrei Piscoran
2025	—	`conf`	Alexa and Copilot: A Tale of Two Assistants. ICAART (1) Ioana-Alexandra Todericiu, Laura Diosan, Camelia Serban
2025	B	`conf`	Challenges in Software Metrics Adoption: Insights from Cluj-Napoca's Development Community. ENASE Laura Diana Cernau, Laura Diosan, Camelia Serban
2025	J	`jnl`	Evaluating Large Language Models for Diacritic Restoration in Romanian Texts: A Comparative Study. CoRR Mihai Nadas, Laura Diosan
2025	—	`conf`	Explaining Mammographic Texture: The Role of View and Abnormality Type in Early Cancer Diagnosis. ICAART (3) Bianca Iacob, Laura Diosan
2025	J	`jnl`	Small Open Models Achieve Near Parity with Large Models in Low Resource Literary Translation at a Fraction of the Cost. CoRR Mihai Nadas, Laura Diosan, Andreea Tomescu, Andrei Piscoran
2025	J	`jnl`	Synthetic Data Generation Using Large Language Models: Advances in Text and Code. IEEE Access Mihai Nadas, Laura Diosan, Andreea Tomescu
2025	J	`jnl`	Synthetic Data Generation Using Large Language Models: Advances in Text and Code. CoRR Mihai Nadas, Laura Diosan, Andreea Tomescu
2025	J	`jnl`	TF1-EN-3M: Three Million Synthetic Moral Fables for Training Small, Open Language Models. CoRR Mihai Nadas, Laura Diosan, Andrei Piscoran, Andreea Tomescu
2025	J	`jnl`	Unveiling Hybrid Cyclomatic Complexity: A Comprehensive Analysis and Evaluation as an Integral Feature in Automatic Defect Prediction Models. CoRR Laura Diana Cernau, Laura Diosan, Camelia Serban
2025	J	`jnl`	Value of Original and Generated Ultrasound Data Towards Training Robust Classifiers for Breast Cancer Identification. Inf. Syst. Frontiers Bianca-Stefania Munteanu, Alexandra Murariu, Marioara Nichitean, Luminita-Gabriela Pitac, Laura Diosan
2024	B	`conf`	Active Learning for Railway Semantic Segmentation through Ant Colony Optimization. KES Andrei-Robert Alexandrescu, Laura Diosan
2024	B	`conf`	Exploring the Fusion of CNNs and Textural Features in Mammogram Interpretation. KES Bianca Iacob, Laura Diosan
2024	—	`conf`	PyResolveMetrics: A Standards-Compliant and Efficient Approach to Entity Resolution Metrics. CSEDU (1) Andrei Olar, Laura Diosan
2024	—	`conf`	Quiz-Ifying Education: Exploring the Power of Virtual Assistants. CSEDU (2) Ioana-Alexandra Todericiu, Mihai Daniel Pop, Camelia Serban, Laura Diosan
2023	Misc	`conf`	Generalizing an Improved GrowCut Algorithm for Mammography Lesion Detection. HAIS Cristiana Moroz-Dubenco, Laura Diosan, Anca Andreica
2023	—	`conf`	Railway Switch Classification Using Deep Neural Networks. VISIGRAPP (4: VISAPP) Andrei-Robert Alexandrescu, Alexandru Manole, Laura Diosan
2023	C	`conf`	Towards an Unsupervised GrowCut Algorithm for Mammography Segmentation. ICVS Cristiana Moroz-Dubenco, Laura Diosan, Anca Andreica
2022	C	`conf`	A Hybrid Complexity Metric in Automatic Software Defects Prediction. ICSOFT Laura Diana Cernau, Laura Diosan, Camelia Serban
2022	B	`conf`	A Lexicon-based Feature for Twitter Sentiment Analysis. ICCP Sergiu Limboi, Laura Diosan
2022	C	`conf`	An unsupervised approach for Twitter Sentiment Analysis of USA 2020 Presidential Election. INISTA Sergiu Limboi, Laura Diosan
2022	—	`conf`	On What Kind of Applications Can Clustering Be Used for Inferring MVC Architectural Layers? ISD Dragos Dobrean, Laura Diosan
2022	J	`jnl`	Pathways for statically mining the Model-View-Controller software architecture on mobile applications. Soft Comput. Dragos Dobrean, Laura Diosan
2022	Misc	`conf`	The Impact of Convolutional Neural Network Parameters in the Binary Classification of Mammograms. SYNASC Madalina Dicu, Laura Diosan, Anca Andreica, Camelia Chira, Alin Cordos
2022	—	`conf`	The Twitter-Lex Sentiment Analysis System. KDIR Sergiu Limboi, Laura Diosan
2021	B	`conf`	A Hybrid Approach to MVC Architectural Layers Analysis. ENASE Dragos Dobrean, Laura Diosan
2021	J	`jnl`	A Transfer Learning Approach on the Optimization of Edge Detectors for Medical Images Using Particle Swarm Optimization. Entropy Delia Dumitru, Laura Diosan, Anca Andreica, Zoltán Bálint
2021	Misc	`conf`	Importance of software architectures in mobile projects. SACI Dragos Dobrean, Laura Diosan
2021	B	`conf`	Mammography Lesion Detection Using an Improved GrowCut Algorithm. KES Cristiana Moroz-Dubenco, Laura Diosan, Anca Andreica
2021	J	`jnl`	Network motifs: A key variable in the equation of dynamic flow between macro and micro layers in Complex Networks. Knowl. Based Syst. Bogdan Eduard-Madalin Mursa, Laura Diosan, Anca Andreica
2021	—	`conf`	On the use of evolutionary algorithms for test case prioritization in regression testing considering requirements dependencies. AISTA@ISSTA Andreea Vescan, Camelia Chisalita-Cretu, Camelia Serban, Laura Diosan
2021	B	`conf`	Towards Accessibility in Education through Smart Speakers. An ontology based approach. KES Ioana-Alexandra Todericiu, Camelia Serban, Laura Diosan
2021	—	`conf`	Validating HyDe: Intelligent Method for Inferring Software Architectures from Mobile Codebase. ENASE (Selected Papers) Dragos Dobrean, Laura Diosan
2020	B	`conf`	A Step Towards Preschoolers' Satisfaction Assessment Support by Facial Expression Emotions Identification. KES Adriana Mihaela Guran, Grigoreta Sofia Cojocar, Laura Diosan
2020	J	`jnl`	Butterfly Effect in Chaotic Image Segmentation. Entropy Radu Marginean, Anca Andreica, Laura Diosan, Zoltán Bálint
2020	C	`conf`	Detecting Model View Controller Architectural Layers using Clustering in Mobile Codebases. ICSOFT Dragos Dobrean, Laura Diosan
2020	—	`conf`	Evolutionary curriculum learning approach for transferable cellular automata rule optimization. GECCO Companion Delia Dumitru, Anca Andreica, Laura Diosan, Zoltán Bálint
2020	—	`conf`	Hybrid Features for Twitter Sentiment Analysis. ICAISC (2) Sergiu Limboi, Laura Diosan
2020	B	`conf`	Robustness analysis of transferable cellular automata rules optimized for edge detection. KES Delia Dumitru, Anca Andreica, Laura Diosan, Zoltán Bálint
2020	B	`conf`	Unsupervised Edge Detector based on Evolved Cellular Automata. KES Alina Enescu, Delia Dumitru, Anca Andreica, Laura Diosan
2019	C	`conf`	An Analysis System for Mobile Applications MVC Software Architectures. ICSOFT Dragos Dobrean, Laura Diosan
2019	B	`conf`	An empirical analysis of the correlation between the motifs frequency and the topological properties of complex networks. KES Bogdan Eduard-Madalin Mursa, Anca Andreica, Laura Diosan
2019	B	`conf`	An initial study of feature extraction's methods in facial expression recognition. ICCP Toma Sînziana, Tolciu Tudor, Matei Cristian, Laura Diosan
2019	—	`conf`	Artificial intelligence meets software engineering in the classroom. EASEAI@ESEC/SIGSOFT FSE Laura Diosan, Simona Motogna
2019	Misc	`conf`	Autonomous Image Segmentation by Competitive Unsupervised GrowCut. SYNASC Radu Marginean, Anca Andreica, Laura Diosan, Zoltán Bálint
2019	B	`conf`	Evolved Cellular Automata for Edge Detection in Binary Images. ICCP Alina Enescu, Anca Andreica, Laura Diosan
2019	Misc	`conf`	Evolved Cellular Automata for Edge Detection in Grayscale Images. SYNASC Alina Enescu, Anca Andreica, Laura Diosan
2019	—	`conf`	Evolved cellular automata for edge detection. GECCO (Companion) Alina Enescu, Anca Andreica, Laura Diosan
2019	Misc	`conf`	Mining Network Motif Discovery by Learning Techniques. HAIS Bogdan Eduard-Madalin Mursa, Anca Andreica, Laura Diosan
2019	C	`conf`	Model View Controller in iOS mobile applications development. SEKE Dragos Dobrean, Laura Diosan
2019	Misc	`conf`	Particle Swarm Optimization of Cellular Automata Rules for Edge Detection. SYNASC Delia Dumitru, Anca Andreica, Laura Diosan, Zoltán Bálint
2019	—	`conf`	Study of Connection between articulation Points and Network motifs in Complex Networks. ECIS Bogdan Eduard-Madalin Mursa, Anca Andreica, Laura Diosan
2018	Misc	`conf`	A four-Phase Meta-Heuristic Algorithm for Solving Large Scale Instances of the Shift Minimization Personnel Task Scheduling Problem. SYNASC Sebastian Nechita, Laura Diosan
2018	B	`conf`	Dynamic autonomous image segmentation based on Grow Cut. ESANN Ion Alexandru Marinescu, Zoltán Bálint, Laura Diosan, Anca Andreica
2018	Misc	`conf`	Evolving Cellular Automata for Two-Stage Edge Detection. SYNASC Alina Enescu, Anca Andreica, Laura Diosan
2018	Misc	`conf`	Parallel Acceleration of Subgraph Enumeration in the Process of Network Motif Detection. SYNASC Bogdan Eduard-Madalin Mursa, Anca Andreica, Laura Diosan
2017	—	`conf`	Avenues for the Use of Cellular Automata in Image Segmentation. EvoApplications (1) Laura Diosan, Anca Andreica, Imre Boros, Irina Voiculescu
2017	B	`conf`	Requirement dependencies-based formal approach for test case prioritization in regression testing. ICCP Andreea Vescan, Camelia Serban, Camelia Chisalita-Cretu, Laura Diosan
2016	B	`conf`	Exploring various neighborhoods in Cellular Automata for image segmentation. ICCP Anca Andreica, Laura Diosan, Andreea Sandor
2016	B	`conf`	Multiclass classification based on clustering approaches for obstacle recognition in traffic scenes. ICCP Roxana Mocan, Laura Diosan
2016	Misc	`conf`	Parameterized Cellular Automata in Image Segmentation. SYNASC Anca Andreica, Laura Diosan, Irina Voiculescu
2015	J	`jnl`	Multi-objective breast cancer classification by using multi-expression programming. Appl. Intell. Laura Diosan, Anca Andreica
2015	—	`conf`	Pedestrian Recognition by Using a Dynamic Modality Selection Approach. ITSC Adela-Maria Rus, Alexandrina Rogozan, Laura Diosan, Abdelaziz Bensrhair
2015	B	`conf`	Pedestrian recognition using a dynamic modality fusion approach. ICCP Adela-Maria Rus, Alexandrina Rogozan, Laura Diosan, Abdelaziz Bensrhair
2014	Misc	`conf`	Pedestrian Recognition by Using a Kernel-Based Multi-modality Approach. SYNASC Adela-Maria Sirbu, Alexandrina Rogozan, Laura Diosan, Abdelaziz Bensrhair
2012	J	`jnl`	Improving classification performance of Support Vector Machine by genetically optimising kernel shape and hyper-parameters. Appl. Intell. Laura Diosan, Alexandrina Rogozan, Jean-Pierre Pécuchet
2011	J	`jnl`	Friction-based sorting. Nat. Comput. Laura Diosan, Mihai Oltean
2010	J	`jnl`	Learning SVM with Complex Multiple Kernels Evolved by Genetic Programming. Int. J. Artif. Intell. Tools Laura Diosan, Alexandrina Rogozan, Jean-Pierre Pécuchet
2009	J	`jnl`	An autonomous GP-based system for regression and classification problems. Appl. Soft Comput. Mihai Oltean, Laura Diosan
2009	—	`ch.`	Automatic Alignment of Medical Terminologies with General Dictionaries for an Efficient Information Retrieval. Information Retrieval in Biomedicine Laura Diosan, Alexandrina Rogozan, Jean-Pierre Pécuchet
2009	J	`jnl`	Evolutionary design of Evolutionary Algorithms. Genet. Program. Evolvable Mach. Laura Diosan, Mihai Oltean
2009	J	`jnl`	Genetic Programming with Linear Representation: a Survey. Int. J. Artif. Intell. Tools Mihai Oltean, Crina Grosan, Laura Diosan, Cristina Mihaila
2008	—	`conf`	An Adaptive GP Strategy for Evolving Digital Circuits. KES (3) Mihai Oltean, Laura Diosan
2008	—	`conf`	Apport des traitements morphosyntaxiques pour l'alignement des définitions par une classification SVM. EGC Laura Diosan, Alexandrina Rogozan, Jean-Pierre Pécuchet
2008	B	`conf`	Automatic alignment of medical vs. general terminologies. ESANN Laura Diosan, Alexandrina Rogozan, Jean-Pierre Pécuchet
2008	—	`conf`	Evolutionary Optimisation of Kernel and Hyper-Parameters for SVM. MCO Laura Diosan, Alexandrina Rogozan, Jean-Pierre Pécuchet
2008	B	`conf`	Optimising Multiple Kernels for SVM by Genetic Programming. EvoCOP Laura Diosan, Alexandrina Rogozan, Jean-Pierre Pécuchet
2007	Misc	`conf`	A Hybrid Genetic Algorithm Based on the Potts System. SYNASC Laura Diosan, Dumitru Dumitrescu
2007	A	`conf`	Best SubTree genetic programming. GECCO Oana Muntean, Laura Diosan, Mihai Oltean
2007	—	`conf`	Evolving evolutionary algorithms using evolutionary algorithms. GECCO (Companion) Laura Diosan, Mihai Oltean
2007	C	`conf`	Evolving kernel functions for SVMs by genetic programming. ICMLA Laura Diosan, Alexandrina Rogozan, Jean-Pierre Pécuchet
2007	J	`jnl`	Evolving the Update Strategy of the Particle Swarm Optimisation Algorithms. Int. J. Artif. Intell. Tools Laura Diosan, Mihai Oltean
2007	A	`conf`	Genetically designed multiple-kernels for improving the SVM performance. GECCO Laura Diosan, Mihai Oltean, Alexandrina Rogozan, Jean-Pierre Pécuchet
2007	—	`conf`	Improving SVM Performance Using a Linear Combination of Kernels. ICANNGA (2) Laura Diosan, Mihai Oltean, Alexandrina Rogozan, Jean-Pierre Pécuchet
2007	—	`conf`	Observing the swarm behaviour during its evolutionary design. GECCO (Companion) Laura Diosan, Mihai Oltean
2007	—	`conf`	Solving the even-n-parity problems using Best SubTree Genetic Programming. AHS Oana Muntean, Laura Diosan, Mihai Oltean
2007	C	`conf`	Who's better? PESA or NSGA II? ISDA Laura Diosan, Mihai Oltean
2006	B	`conf`	Evolving Crossover Operators for Function Optimization. EuroGP Laura Diosan, Mihai Oltean
2006	B	`conf`	Evolving the Structure of the Particle Swarm Optimization Algorithms. EvoCOP Laura Diosan, Mihai Oltean
2005	Misc	`conf`	A New Nature-Inspired Computation Model Ising Model with Rays. SYNASC Delia David, Laura Diosan, Dumitru Dumitrescu
2005	—	`conf`	A multi-objective evolutionary approach to the portfolio optimization problem. CIMCA/IAWTIC Laura Diosan