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Laura Diosan
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2020 – today
- 2024
- [c69]Andrei Olar, Laura Diosan:
PyResolveMetrics: A Standards-Compliant and Efficient Approach to Entity Resolution Metrics. CSEDU (1) 2024: 257-263 - [c68]Ioana-Alexandra Todericiu, Mihai Daniel Pop, Camelia Serban, Laura Diosan:
Quiz-Ifying Education: Exploring the Power of Virtual Assistants. CSEDU (2) 2024: 589-596 - 2023
- [c67]Cristiana Moroz-Dubenco
, Laura Diosan
Generalizing an Improved GrowCut Algorithm for Mammography Lesion Detection. HAIS 2023: 709-720 - [c66]Cristiana Moroz-Dubenco
Towards an Unsupervised GrowCut Algorithm for Mammography Segmentation. ICVS 2023: 102-111 - [c65]Andrei-Robert Alexandrescu
Railway Switch Classification Using Deep Neural Networks. VISIGRAPP (4: VISAPP) 2023: 769-776 - 2022
- [j12]Dragos Dobrean
Pathways for statically mining the Model-View-Controller software architecture on mobile applications. Soft Comput. 26(19): 10493-10511 (2022) - [c64]Sergiu Limboi, Laura Diosan:
The Twitter-Lex Sentiment Analysis System. KDIR 2022: 180-187 - [c63]Sergiu Limboi, Laura Diosan:
A Lexicon-based Feature for Twitter Sentiment Analysis. ICCP 2022: 95-102 - [c62]Laura Diana Cernau, Laura Diosan, Camelia Serban:
A Hybrid Complexity Metric in Automatic Software Defects Prediction. ICSOFT 2022: 433-440 - [c61]Sergiu Limboi, Laura Diosan:
An unsupervised approach for Twitter Sentiment Analysis of USA 2020 Presidential Election. INISTA 2022: 1-6 - [c60]Dragos Dobrean, Laura Diosan:
On What Kind of Applications Can Clustering Be Used for Inferring MVC Architectural Layers? ISD 2022 - [c59]Laura Diana Cernau, Laura-Silvia Diosan, Camelia Serban:
A pedagogical approach in interleaving software quality concerns at an artificial intelligence course. EASEAI@ESEC/SIGSOFT FSE 2022: 18-24 - [c58]Madalina Dicu, Laura Diosan, Anca Andreica
The Impact of Convolutional Neural Network Parameters in the Binary Classification of Mammograms. SYNASC 2022: 181-188 - [c57]Roxana Sipos-Lascu, Laura-Silvia Diosan:
An Evaluation of Image Texture Descriptors and their Invariant Properties. SYNASC 2022: 284-292 - 2021
- [j11]Delia Dumitru, Laura Diosan, Anca Andreica
A Transfer Learning Approach on the Optimization of Edge Detectors for Medical Images Using Particle Swarm Optimization. Entropy 23(4): 414 (2021) - [j10]Bogdan Eduard-Madalin Mursa
Network motifs: A key variable in the equation of dynamic flow between macro and micro layers in Complex Networks. Knowl. Based Syst. 213: 106648 (2021) - [c56]Dragos Dobrean, Laura Diosan:
Validating HyDe: Intelligent Method for Inferring Software Architectures from Mobile Codebase. ENASE (Selected Papers) 2021: 3-28 - [c55]Dragos Dobrean, Laura Diosan:
A Hybrid Approach to MVC Architectural Layers Analysis. ENASE 2021: 36-46 - [c54]Andreea Vescan
On the use of evolutionary algorithms for test case prioritization in regression testing considering requirements dependencies. AISTA@ISSTA 2021: 1-8 - [c53]Adriana Mihaela Guran
Towards Smart Edutainment Applications for Young Children. A Proposal. ITS 2021: 439-443 - [c52]Cristiana Moroz-Dubenco, Laura Diosan, Anca Andreica
Mammography Lesion Detection Using an Improved GrowCut Algorithm. KES 2021: 308-317 - [c51]Ioana-Alexandra Todericiu
Towards Accessibility in Education through Smart Speakers. An ontology based approach. KES 2021: 883-892 - [c50]Dragos Dobrean, Laura Diosan:
Importance of software architectures in mobile projects. SACI 2021: 281-286 - 2020
- [j9]Radu Marginean, Anca Andreica
Butterfly Effect in Chaotic Image Segmentation. Entropy 22(9): 1028 (2020) - [c49]Delia Dumitru, Anca Andreica, Laura Diosan, Zoltán Bálint
Evolutionary curriculum learning approach for transferable cellular automata rule optimization. GECCO Companion 2020: 63-64 - [c48]Sergiu Limboi, Laura Diosan:
Hybrid Features for Twitter Sentiment Analysis. ICAISC (2) 2020: 210-219 - [c47]Dragos Dobrean, Laura Diosan:
Detecting Model View Controller Architectural Layers using Clustering in Mobile Codebases. ICSOFT 2020: 196-203 - [c46]Alina Enescu, Delia Dumitru, Anca Andreica, Laura Diosan:
Unsupervised Edge Detector based on Evolved Cellular Automata. KES 2020: 470-479 - [c45]Adriana Mihaela Guran, Grigoreta Sofia Cojocar, Laura Diosan:
A Step Towards Preschoolers' Satisfaction Assessment Support by Facial Expression Emotions Identification. KES 2020: 632-641 - [c44]Delia Dumitru, Anca Andreica, Laura Diosan, Zoltán Bálint:
Robustness analysis of transferable cellular automata rules optimized for edge detection. KES 2020: 713-722
2010 – 2019
- 2019
- [c43]Bogdan Eduard-Madalin Mursa, Anca Andreica, Laura Diosan:
Study of Connection between articulation Points and Network motifs in Complex Networks. ECIS 2019 - [c42]Alina Enescu, Anca Andreica
Evolved cellular automata for edge detection. GECCO (Companion) 2019: 316-317 - [c41]Bogdan Eduard-Madalin Mursa, Anca Andreica
Mining Network Motif Discovery by Learning Techniques. HAIS 2019: 73-84 - [c40]Toma Sînziana, Tolciu Tudor, Matei Cristian, Laura Diosan:
An initial study of feature extraction's methods in facial expression recognition. ICCP 2019: 251-257 - [c39]Alina Enescu, Anca Andreica, Laura Diosan:
Evolved Cellular Automata for Edge Detection in Binary Images. ICCP 2019: 351-358 - [c38]Dragos Dobrean, Laura Diosan:
An Analysis System for Mobile Applications MVC Software Architectures. ICSOFT 2019: 178-185 - [c37]Bogdan Eduard-Madalin Mursa, Anca Andreica
An empirical analysis of the correlation between the motifs frequency and the topological properties of complex networks. KES 2019: 333-341 - [c36]Dragos Dobrean, Laura Diosan:
Model View Controller in iOS mobile applications development. SEKE 2019: 547-716 - [c35]Laura Diosan, Simona Motogna
Artificial intelligence meets software engineering in the classroom. EASEAI@ESEC/SIGSOFT FSE 2019: 35-38 - [c34]Radu Marginean, Anca Andreica
Autonomous Image Segmentation by Competitive Unsupervised GrowCut. SYNASC 2019: 313-319 - [c33]Delia Dumitru, Anca Andreica
Particle Swarm Optimization of Cellular Automata Rules for Edge Detection. SYNASC 2019: 320-325 - [c32]Alina Enescu, Anca Andreica
Evolved Cellular Automata for Edge Detection in Grayscale Images. SYNASC 2019: 326-332 - 2018
- [c31]Ion Alexandru Marinescu, Zoltán Bálint, Laura Diosan, Anca Andreica:
Dynamic autonomous image segmentation based on Grow Cut. ESANN 2018 - [c30]Bogdan Eduard-Madalin Mursa, Anca Andreica
Parallel Acceleration of Subgraph Enumeration in the Process of Network Motif Detection. SYNASC 2018: 191-198 - [c29]Sebastian Nechita, Laura Diosan:
A four-Phase Meta-Heuristic Algorithm for Solving Large Scale Instances of the Shift Minimization Personnel Task Scheduling Problem. SYNASC 2018: 394-400 - [c28]Alexandru-Ion Marinescu, Zoltán Bálint
Unsupervised and Fully Autonomous 3D Medical Image Segmentation Based on Grow Cut. SYNASC 2018: 401-408 - [c27]Alina Enescu, Anca Andreica
Evolving Cellular Automata for Two-Stage Edge Detection. SYNASC 2018: 417-424 - 2017
- [c26]Laura Diosan, Anca Andreica
Avenues for the Use of Cellular Automata in Image Segmentation. EvoApplications (1) 2017: 282-296 - [c25]Andreea Vescan
Requirement dependencies-based formal approach for test case prioritization in regression testing. ICCP 2017: 181-188 - 2016
- [c24]Anca Andreica
Exploring various neighborhoods in Cellular Automata for image segmentation. ICCP 2016: 249-255 - [c23]Roxana Mocan, Laura Diosan:
Multiclass classification based on clustering approaches for obstacle recognition in traffic scenes. ICCP 2016: 257-261 - [c22]Anca Andreica
Parameterized Cellular Automata in Image Segmentation. SYNASC 2016: 199-205 - 2015
- [j8]Laura Diosan, Anca Andreica
Multi-objective breast cancer classification by using multi-expression programming. Appl. Intell. 43(3): 499-511 (2015) - [c21]Adela-Maria Rus, Alexandrina Rogozan, Laura Diosan, Abdelaziz Bensrhair:
Pedestrian recognition using a dynamic modality fusion approach. ICCP 2015: 393-400 - [c20]Adela-Maria Rus, Alexandrina Rogozan, Laura Diosan, Abdelaziz Bensrhair:
Pedestrian Recognition by Using a Dynamic Modality Selection Approach. ITSC 2015: 1862-1867 - 2014
- [c19]Adela-Maria Sirbu, Alexandrina Rogozan, Laura Diosan, Abdelaziz Bensrhair:
Pedestrian Recognition by Using a Kernel-Based Multi-modality Approach. SYNASC 2014: 258-263 - 2012
- [j7]Laura Diosan, Alexandrina Rogozan, Jean-Pierre Pécuchet:
Improving classification performance of Support Vector Machine by genetically optimising kernel shape and hyper-parameters. Appl. Intell. 36(2): 280-294 (2012) - 2011
- [j6]Laura Diosan, Mihai Oltean
Friction-based sorting. Nat. Comput. 10(1): 527-539 (2011) - 2010
- [j5]Laura Diosan, Alexandrina Rogozan, Jean-Pierre Pécuchet:
Learning SVM with Complex Multiple Kernels Evolved by Genetic Programming. Int. J. Artif. Intell. Tools 19(5): 647-677 (2010)
2000 – 2009
- 2009
- [j4]Mihai Oltean
An autonomous GP-based system for regression and classification problems. Appl. Soft Comput. 9(1): 49-60 (2009) - [j3]Laura Diosan, Mihai Oltean
Evolutionary design of Evolutionary Algorithms. Genet. Program. Evolvable Mach. 10(3): 263-306 (2009) - [j2]Mihai Oltean
Genetic Programming with Linear Representation: a Survey. Int. J. Artif. Intell. Tools 18(2): 197-238 (2009) - [p1]Laura Diosan, Alexandrina Rogozan, Jean-Pierre Pécuchet:
Automatic Alignment of Medical Terminologies with General Dictionaries for an Efficient Information Retrieval. Information Retrieval in Biomedicine 2009: 78-105 - 2008
- [c18]Laura Diosan, Alexandrina Rogozan, Jean-Pierre Pécuchet:
Automatic alignment of medical vs. general terminologies. ESANN 2008: 487-492 - [c17]Laura Diosan, Alexandrina Rogozan, Jean-Pierre Pécuchet:
Optimising Multiple Kernels for SVM by Genetic Programming. EvoCOP 2008: 230-241 - [c16]Laura Diosan, Alexandrina Rogozan, Jean-Pierre Pécuchet:
Apport des traitements morphosyntaxiques pour l'alignement des définitions par une classification SVM. EGC 2008: 201-202 - [c15]Mihai Oltean
An Adaptive GP Strategy for Evolving Digital Circuits. KES (3) 2008: 376-383 - [c14]Laura Diosan, Alexandrina Rogozan, Jean-Pierre Pécuchet:
Evolutionary Optimisation of Kernel and Hyper-Parameters for SVM. MCO 2008: 107-116 - 2007
- [j1]Laura Diosan, Mihai Oltean
Evolving the Update Strategy of the Particle Swarm Optimisation Algorithms. Int. J. Artif. Intell. Tools 16(1): 87-110 (2007) - [c13]Oana Muntean, Laura Diosan, Mihai Oltean
Solving the even-n-parity problems using Best SubTree Genetic Programming. AHS 2007: 511-518 - [c12]Oana Muntean, Laura Diosan, Mihai Oltean
Best SubTree genetic programming. GECCO 2007: 1667-1673 - [c11]Laura Diosan, Mihai Oltean
Genetically designed multiple-kernels for improving the SVM performance. GECCO 2007: 1873 - [c10]Laura Diosan, Mihai Oltean
Evolving evolutionary algorithms using evolutionary algorithms. GECCO (Companion) 2007: 2442-2449 - [c9]Laura Diosan, Mihai Oltean
Observing the swarm behaviour during its evolutionary design. GECCO (Companion) 2007: 2667-2674 - [c8]Laura Diosan, Mihai Oltean
Improving SVM Performance Using a Linear Combination of Kernels. ICANNGA (2) 2007: 218-227 - [c7]Laura Diosan, Alexandrina Rogozan, Jean-Pierre Pécuchet:
Evolving kernel functions for SVMs by genetic programming. ICMLA 2007: 19-24 - [c6]Laura Diosan, Mihai Oltean
Who's better? PESA or NSGA II? ISDA 2007: 869-874 - [c5]Laura Diosan, Dumitru Dumitrescu:
A Hybrid Genetic Algorithm Based on the Potts System. SYNASC 2007: 453-456 - 2006
- [c4]Laura Diosan, Mihai Oltean
Evolving Crossover Operators for Function Optimization. EuroGP 2006: 97-108 - [c3]Laura Diosan, Mihai Oltean:
Evolving the Structure of the Particle Swarm Optimization Algorithms. EvoCOP 2006: 25-36 - 2005
- [c2]Laura Diosan:
A multi-objective evolutionary approach to the portfolio optimization problem. CIMCA/IAWTIC 2005: 183-187 - [c1]Delia David, Laura Diosan, Dumitru Dumitrescu:
A New Nature-Inspired Computation Model Ising Model with Rays. SYNASC 2005: 315-320
Coauthor Index
aka: Anca-Mirela Andreica
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last updated on 2024-11-07 20:28 CET by the dblp team
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