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Camelia Chira
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2020 – today
- 2024
- [c74]Madalina Dicu, Adrian Sterca, Camelia Chira, Radu Orghidan:
UICVD: A Computer Vision UI Dataset for Training RPA Agents. ENASE 2024: 414-421 - [c73]Madalina Dicu, Enol García González
, Camelia Chira
The Impact of Data Annotations on the Performance of Object Detection Models in Icon Detection for GUI Images. HAIS (1) 2024: 251-262 - [c72]Adél Bajcsi, Anca Andreica, Camelia Chira:
Significance of Training Images and Feature Extraction in Lesion Classification. ICAART (3) 2024: 117-124 - [c71]Madalina Dicu
The Impact of Augmentation Techniques on Icon Detection Using Machine Learning Techniques. AIAI (2) 2024: 318-331 - 2023
- [j28]Enol García González
An efficient multi-robot path planning solution using A* and coevolutionary algorithms. Integr. Comput. Aided Eng. 30(1): 41-52 (2023) - [j27]Anikó Kopacz, Lehel Csató, Camelia Chira:
Evaluating cooperative-competitive dynamics with deep Q-learning. Neurocomputing 550: 126507 (2023) - [c70]Adél Bajcsi
Textural and Shape Features for Lesion Classification in Mammogram Analysis. HAIS 2023: 755-767 - [c69]Enol García González, José R. Villar
Multi-objective Optimization for Multi-Robot Path Planning on Warehouse Environments. SOCO (2) 2023: 279-289 - [c68]Claudia Ioana Coste, Anca-Mirela Andreica, Camelia Chira:
Malicious Web Links Detection Using Ensemble Models. WEBIST 2023: 268-275 - 2022
- [c67]Enol García González
A Comparison of Meta-heuristic Based Optimization Methods Using Standard Benchmarks. HAIS 2022: 494-504 - [c66]Cristiana Moroz-Dubenco, Adél Bajcsi
An Unsupervised Threshold-based GrowCut Algorithm for Mammography Lesion Detection. KES 2022: 2096-2105 - [c65]Anikó Kopacz, Lehel Csató, Camelia Chira:
Applying Deep Q-learning for Multi-agent Cooperative-Competitive Environments. SOCO 2022: 626-634 - [c64]Camelia Chira:
Complex Network Analysis using Artificial Intelligence Algorithms. SYNASC 2022: 1-3 - [c63]Madalina Dicu, Laura Diosan, Anca Andreica
The Impact of Convolutional Neural Network Parameters in the Binary Classification of Mammograms. SYNASC 2022: 181-188 - 2021
- [j26]Gabriela Czibula, Alexandra-Ioana Albu, Maria-Iuliana Bocicor, Camelia Chira:
AutoPPI: An Ensemble of Deep Autoencoders for Protein-Protein Interaction Prediction. Entropy 23(6): 643 (2021) - [j25]José Ramón Villar
Autonomous on-wrist acceleration-based fall detection systems: unsolved challenges. Neurocomputing 452: 404-413 (2021) - [c62]Adél Bajcsi
Towards feature selection for digital mammogram classification. KES 2021: 632-641 - 2020
- [c61]Eduardo C. Paim, Ana L. C. Bazzan, Camelia Chira:
Detecting Communities in Networks: a Decentralized Approach Based on Multiagent Reinforcement Learning. SSCI 2020: 2225-2232
2010 – 2019
- 2019
- [j24]Rizwana Irfan, Zobia Rehman, Ahsanullah Abro, Camelia Chira, Waqas Anwar:
Ontology Learning in Text Mining for Handling Big Data in Healthcare Systems. J. Medical Imaging Health Informatics 9(4): 649-661 (2019) - 2018
- [j23]Samad Barri Khojasteh
Improving Fall Detection Using an On-Wrist Wearable Accelerometer. Sensors 18(5): 1350 (2018) - 2017
- [j22]Camelia-Mihaela Pintea
The generalized traveling salesman problem solved with ant algorithms. Complex Adapt. Syst. Model. 5: 8 (2017) - [j21]Javier Sedano, Silvia González, Camelia Chira
Key features for the characterization of Android malware families. Log. J. IGPL 25(1): 54-66 (2017) - [j20]Rizwana Irfan, Osman Khalid, Muhammad Usman Shahid Khan, Camelia Chira, Rajiv Ranjan
MobiContext: A Context-Aware Cloud-Based Venue Recommendation Framework. IEEE Trans. Cloud Comput. 5(4): 712-724 (2017) - [c60]Marius Joldos
A parallel evolutionary approach to community detection in complex networks. ICCP 2017: 247-254 - 2016
- [j19]Camelia Chira
Gene clustering for time-series microarray with production outputs. Soft Comput. 20(11): 4301-4312 (2016) - [c59]Cristian Jora, Camelia Chira
Evolutionary community detection in complex and dynamic networks. ICCP 2016: 127-134 - [c58]Javier Sedano, Camelia Chira
Characterization of Android Malware Families by a Reduced Set of Static Features. SOCO-CISIS-ICEUTE 2016: 607-617 - 2015
- [j18]Anca Andreica
Best-order crossover for permutation-based evolutionary algorithms. Appl. Intell. 42(4): 751-776 (2015) - [j17]José Ramón Villar
A hybrid intelligent recognition system for the early detection of strokes. Integr. Comput. Aided Eng. 22(3): 215-227 (2015) - [j16]Anca Andreica
Evolution and dynamics of node-weighted networks for cellular automata computation. Log. J. IGPL 23(3): 400-409 (2015) - [j15]José Ramón Villar
Improving Human Activity Recognition and its Application in Early Stroke Diagnosis. Int. J. Neural Syst. 25(4): 1450036:1-1450036:20 (2015) - [j14]Oliviu Matei
An improved immigration memetic algorithm for solving the heterogeneous fixed fleet vehicle routing problem. Neurocomputing 150: 58-66 (2015) - [c57]Ana L. C. Bazzan, Camelia Chira:
A Hybrid Evolutionary and Multiagent Reinforcement Learning Approach to Accelerate the Computation of Traffic Assignment: (Extended Abstract). AAMAS 2015: 1723-1724 - [c56]Javier Sedano, Camelia Chira
On the Selection of Key Features for Android Malware Characterization. CISIS-ICEUTE 2015: 167-176 - [c55]Alexandru Popa
A Unifying Framework for Interactive Programming and Applications to Communicating Peer-to-Peer Systems. EGC 2015: 101-112 - [c54]Camelia Chira
Route assignment using multi-objective evolutionary search. ICCP 2015: 141-148 - [c53]Camelia Chira
A multi-objective evolutionary approach to imbalanced classification problems. ICCP 2015: 149-154 - [c52]Camelia Chira
Multi-objective Evolutionary Traffic Assignment. ITSC 2015: 1177-1182 - [c51]Camelia Chira
Shape-Output Gene Clustering for Time Series Microarrays. SOCO 2015: 241-250 - 2014
- [j13]Camelia Chira
A Cluster Merging Method for Time Series microarray with production Values. Int. J. Neural Syst. 24(6) (2014) - [j12]Camelia Chira
Urban bicycles renting systems: Modelling and optimization using nature-inspired search methods. Neurocomputing 135: 98-106 (2014) - [c50]Petrica C. Pop
A hybrid approach based on genetic algorithms for solving the Clustered Vehicle Routing Problem. IEEE Congress on Evolutionary Computation 2014: 1421-1426 - 2013
- [j11]Javier Sedano, Camelia Chira
An intelligent route management system for electric vehicle charging. Integr. Comput. Aided Eng. 20(4): 321-333 (2013) - [j10]Nima Hatami, Camelia Chira
Diverse accurate feature selection for microarray cancer diagnosis. Intell. Data Anal. 17(4): 697-716 (2013) - [j9]David Iclanzan, Anca Gog
Cell state change dynamics in cellular automata. Memetic Comput. 5(2): 131-139 (2013) - [c49]Nima Hatami, Camelia Chira
Classifiers with a reject option for early time-series classification. CIEL 2013: 9-16 - [c48]Silvia González, José Ramón Villar
A Preliminary Study on Early Diagnosis of Illnesses Based on Activity Disturbances. DCAI 2013: 521-527 - [c47]José Ramón Villar
Human Activity Recognition and Feature Selection for Stroke Early Diagnosis. HAIS 2013: 659-668 - [c46]Anca Andreica
Using a Hybrid Cellular Automata Topology and Neighborhood in Rule Discovery. HAIS 2013: 669-678 - [c45]Camelia Chira
Gene Clustering in Time Series Microarray Analysis. SOCO-CISIS-ICEUTE 2013: 289-298 - [i6]Camelia-Mihaela Pintea, Petrica C. Pop, Camelia Chira:
The Generalized Traveling Salesman Problem solved with Ant Algorithms. CoRR abs/1310.2350 (2013) - [i5]Nima Hatami, Camelia Chira:
Classifiers With a Reject Option for Early Time-Series Classification. CoRR abs/1312.3989 (2013) - 2012
- [j8]Camelia-Mihaela Pintea
Hybrid ant models with a transition policy for solving a complex problem. Log. J. IGPL 20(3): 560-569 (2012) - [j7]Rodica Ioana Lung
Guest editorial: special issue on nature inspired cooperative strategies for optimization. Memetic Comput. 4(4): 247-248 (2012) - [c44]Camelia Chira
Evolutionary detection of community structures in complex networks: A new fitness function. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c43]David Iclanzan, Camelia Chira
Modeling and replicating higher-order dependencies in genetic algorithms. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c42]Giuliano Armano, Camelia Chira
Ensemble of Binary Learners for Reliable Text Categorization with a Reject Option. HAIS (1) 2012: 137-146 - [c41]Anca Gog
Dynamics of Networks Evolved for Cellular Automata Computation. HAIS (2) 2012: 359-368 - [c40]Camelia Chira
Hybrid Evolutionary Algorithm with a Composite Fitness Function for Protein Structure Prediction. IDEAL 2012: 184-191 - [c39]Irene Barbero, Camelia Chira
Merge Method for Shape-Based Clustering in Time Series Microarray Analysis. IDEAL 2012: 834-841 - [c38]Giuliano Armano, Camelia Chira, Nima Hatami:
Error-Correcting Output Codes for Multi-Label Text Categorization. IIR 2012: 26-37 - [c37]Anca Andreica
The role of crossover in evolutionary approaches to Resource-Constrained Project Scheduling. ISDA 2012: 200-205 - [e1]David Alejandro Pelta, Natalio Krasnogor, Dan Dumitrescu, Camelia Chira
Nature Inspired Cooperative Strategies for Optimization, NICSO 2011, Cluj-Napoca, Romania, October 20-22, 2011. Studies in Computational Intelligence 387, Springer 2012, ISBN 978-3-642-24093-5 [contents] - [i4]Nima Hatami, Camelia Chira, Giuliano Armano:
A Route Confidence Evaluation Method for Reliable Hierarchical Text Categorization. CoRR abs/1206.0335 (2012) - [i3]Camelia-Mihaela Pintea, Camelia Chira, D. Dumitrescu:
New results of ant algorithms for the Linear Ordering Problem. CoRR abs/1208.5340 (2012) - [i2]Camelia-Mihaela Pintea, Camelia Chira, D. Dumitrescu, Petrica C. Pop:
Sensitive Ants in Solving the Generalized Vehicle Routing Problem. CoRR abs/1208.5341 (2012) - 2011
- [j6]Camelia Chira
Hill-Climbing search and diversification within an evolutionary approach to protein structure prediction. BioData Min. 4: 23 (2011) - [j5]Petrica C. Pop
Heuristic Algorithms for Solving the Generalized Vehicle Routing Problem. Int. J. Comput. Commun. Control 6(1): 158-165 (2011) - [j4]Camelia-Mihaela Pintea
Sensitive Ants in Solving the Generalized Vehicle Routing Problem. Int. J. Comput. Commun. Control 6(4): 731-738 (2011) - [c36]Camelia Chira
Fitness evaluation for overlapping community detection in complex networks. IEEE Congress on Evolutionary Computation 2011: 2200-2206 - [c35]Camelia Chira
A hybrid evolutionary approach to protein structure prediction with lattice models. IEEE Congress on Evolutionary Computation 2011: 2300-2306 - [c34]David Iclanzan, Péter István Fülöp, Camelia Chira
Towards the efficient evolution of particle-based computation in cellular automata. GECCO (Companion) 2011: 835-836 - [c33]Anca Gog
Comparative Analysis of Recombination Operators in Genetic Algorithms for the Travelling Salesman Problem. HAIS (2) 2011: 10-17 - [c32]Rubén Jaramillo-Vacio, Alberto Ochoa-Zezzatti
Diagnosis of Partial Discharge Using Self Organizing Maps and Hierarchical Clustering - An Approach. HAIS (1) 2011: 91-98 - [c31]Camelia Chira
Collaborative Community Detection in Complex Networks. HAIS (1) 2011: 380-387 - [c30]Camelia Chira
Evolutionary model support for Urban Bicycles Renting Systems. ISDA 2011: 819-824 - [c29]Camelia Chira
A hybrid evolutionary approach to the management of Bicycle Renting Systems. NaBIC 2011: 621-626 - [c28]Rodica Ioana Lung
A Game Theoretic Approach to Community Detection in Social Networks. NICSO 2011: 121-131 - [c27]David Iclanzan, Anca Gog
Enhancing the Computational Mechanics of Cellular Automata. NICSO 2011: 267-283 - [c26]Giuliano Armano, Camelia Chira
A New Gene Selection Method Based on Random Subspace Ensemble for Microarray Cancer Classification. PRIB 2011: 191-201 - 2010
- [j3]Camelia Chira, Dumitru Dumitrescu, Camelia-Mihaela Pintea:
Learning Sensitive Stigmergic Agents for Solving Complex Problems. Comput. Informatics 29(3): 337-356 (2010) - [j2]Camelia Chira
P systems with control nuclei: The concept. J. Log. Algebraic Methods Program. 79(6): 326-333 (2010) - [c25]Dragos Horvath, Camelia Chira
Simplified chain folding models as metaheuristic benchmark for tuning real protein folding algorithms? IEEE Congress on Evolutionary Computation 2010: 1-8 - [c24]Camelia Chira, Dragos Horvath, Dumitru Dumitrescu:
An Evolutionary Model Based on Hill-Climbing Search Operators for Protein Structure Prediction. EvoBIO 2010: 38-49 - [c23]Petrica C. Pop
A Genetic Algorithm for Solving the Generalized Vehicle Routing Problem. HAIS (2) 2010: 119-126 - [c22]Camelia-Mihaela Pintea
A Hybrid ACO Approach to the Matrix Bandwidth Minimization Problem. HAIS (1) 2010: 405-412
2000 – 2009
- 2009
- [c21]Anca Gog
Asynchronous evolutionary search: Multi-population collaboration and complex dynamics. IEEE Congress on Evolutionary Computation 2009: 240-246 - [c20]Camelia Chira
Solving the linear ordering problem using ant models. GECCO 2009: 1803-1804 - [c19]Camelia Chira, Anca Gog, D. Dumitrescu:
Asynchronous collaborative search using adaptive co-evolving subpopulations. GECCO (Companion) 2009: 2575-2582 - [c18]Anca Gog
Cellular Automata Rule Detection Using Circular Asynchronous Evolutionary Search. HAIS 2009: 261-268 - [c17]Camelia-Mihaela Pintea
A Hybrid Ant-Based Approach to the Economic Triangulation Problem for Input-Output Tables. HAIS 2009: 376-383 - 2008
- [c16]Camelia Chira
Distribution, Collaboration and Coevolution in Asynchronous Search. DCAI 2008: 596-604 - [c15]Camelia Chira, D. Dumitrescu, Camelia-Mihaela Pintea
Heterogeneous sensitive ant model for combinatorial optimization. GECCO 2008: 163-164 - [c14]Camelia Chira, Anca Gog, Dumitru Dumitrescu:
Exploring population geometry and multi-agent systems: a new approach to developing evolutionary techniques. GECCO (Companion) 2008: 1953-1960 - [c13]Rodica Ioana Lung, Camelia Chira, Dumitru Dumitrescu:
An agent-based collaborative evolutionary model for multimodal optimization. GECCO (Companion) 2008: 1969-1976 - [c12]Anca Gog
Hybrid Multi-population Collaborative Asynchronous Search. HAIS 2008: 148-155 - [c11]Camelia-Mihaela Pintea
A Hybrid Ant-Based System for Gate Assignment Problem. HAIS 2008: 273-280 - [c10]Camelia-Mihaela Pintea
Sensitive Ants: Inducing Diversity in the Colony. NICSO 2008: 15-24 - [c9]Camelia-Mihaela Pintea
A Sensitive Metaheuristic for Solving a Large Optimization Problem. SOFSEM 2008: 551-559 - [c8]Camelia Chira
Multi-Population Agent Search: Stigmergy and Heterogeneity. SYNASC 2008: 526-531 - [c7]Anca Gog
Analysis of Some Mating and Collaboration Strategies in Evolutionary Algorithms. SYNASC 2008: 538-542 - [p2]Camelia Chira
Sensitive Stigmergic Agent Systems - A Hybrid Approach to Combinatorial Optimization. Innovations in Hybrid Intelligent Systems 2008: 33-39 - [i1]Gheorghe Stefanescu, Camelia Chira:
New parallel programming language design: a bridge between brain models and multi-core/many-core computers? CoRR abs/0812.2926 (2008) - 2007
- [c6]Camelia Chira
Multi-Agent Cooperative Design Support in Distributed Environments. ICDCS Workshops 2007: 76 - [p1]Camelia Chira
Cooperative Learning Sensitive Agent System for Combinatorial Optimization. NICSO 2007: 347-355 - 2006
- [j1]Ovidiu Chira, Camelia Chira
An agent-based approach to knowledge management in distributed design. J. Intell. Manuf. 17(6): 737-750 (2006) - [c5]Camelia-Mihaela Pintea
Combining Meta-Heuristics to Solve the Rook Problem. SYNASC 2006: 239-243 - 2005
- [c4]Camelia Chira, Ovidiu Chira, Thomas Roche:
Multi-agent Support for Distributed Engineering Design. IEA/AIE 2005: 155-164 - 2003
- [c3]Ovidiu Chira, Camelia Chira
A Multi-agent Architecture for Distributed Design. HoloMAS 2003: 213-224 - [c2]Ovidiu Chira, Camelia Chira, Thomas Roche, David Tormey, Attracta Brennan:
An agent-based approach to knowledge management in distributed design. CE 2003: 111-119 - 2002
- [c1]Elena Man, Juan Enrique Díez, Camelia Chira, Thomas Roche:
Product Life Cycle Design Using the DFE Workbench. BASYS 2002: 395-402
Coauthor Index
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last updated on 2024-11-07 20:35 CET by the dblp team
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