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ORCIDNoémi Gaskó
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- affiliation: Babes-Bolyai University, Cluj-Napoca, Romania
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2020 – today
- 2024
[j9]Nándor Bándi, Noémi Gaskó:
Nested Markov chain hyper-heuristic (NMHH): a hybrid hyper-heuristic framework for single-objective continuous problems. PeerJ Comput. Sci. 10: e1785 (2024)- 2023
- [j8]Noémi Gaskó, Tamás Képes, Rodica Ioana Lung, Mihai Suciu
:
Identification of influential nodes with Shapley Influence Maximization Extremal Optimization algorithm. Appl. Soft Comput. 146: 110653 (2023) - [c35]Nándor Bándi, Noémi Gaskó:
Solving Continuous Optimization Problems with a New Hyperheuristic Framework. LOD (1) 2023: 116-130 - [c34]Zoltán Tasnádi, Noémi Gaskó:
Heaviest and Densest Subgraph Computation for Binary Classification. A Case Study. LOD (2) 2023: 140-148 - 2022
- [c33]Zoltán Tasnádi, Noémi Gaskó:
A New Type of Anomaly Detection Problem in Dynamic Graphs: An Ant Colony Optimization Approach. BIOMA 2022: 46-53 - [c32]Tamás Képes, Noémi Gaskó, Géza Vekov:
The Combined Critical Node and Edge Detection Problem. An Evolutionary Approach. PPSN (1) 2022: 324-338 - [c31]Noémi Gaskó, Tamás Képes, Mihai Suciu, Rodica Ioana Lung:
An Extremal Optimization Approach to the Pairwise Connectivity Critical Node Detection Problem. SOCO 2022: 109-118 - [c30]Zoltán Tasnádi, Noémi Gaskó:
An Ant Colony Optimisation Approach to the Densest k-Subgraph Problem. SYNASC 2022: 208-211 - 2021
- [j7]Eliézer Béczi, Noémi Gaskó:
Approaching the bi-objective critical node detection problem with a smart initialization-based evolutionary algorithm. PeerJ Comput. Sci. 7: e750 (2021) - [c29]Mihai-Alexandru Suciu, Noémi Gaskó, Tamás Képes, Rodica Ioana Lung:
A Simple Genetic Algorithm for the Critical Node Detection Problem. HAIS 2021: 124-133 - [c28]Noémi Gaskó, Mihai Suciu, Rodica Ioana Lung, Tamás Képes:
An Evolutionary Approach for Critical Node Detection in Hypergraphs. A Case Study of an Inflation Economic Network. ISDA 2021: 1110-1117 - [c27]Noémi Gaskó, Tamás Képes, Mihai Suciu, Rodica Ioana Lung:
Critical Node Detection for Maximization of Connected Components: An Extremal Optimization Approach. SOCO 2021: 502-511 - 2020
- [j6]Rodica Ioana Lung, Noémi Gaskó, Mihai Alexandru Suciu:
Pareto-based evolutionary multiobjective approaches and the generalized Nash equilibrium problem. J. Heuristics 26(4): 561-584 (2020) - [j5]Noémi Gaskó, Florentin Bota, Mihai Alexandru Suciu, Rodica Ioana Lung:
A Game Theoretical Analysis of Academic Writing Co-authorship Networks. J. Sci. Res. 9(3): 319-325 (2020)
2010 – 2019
- 2019
- [c26]Tamás Képes, Noémi Gaskó, Rodica Ioana Lung, Mihai-Alexandru Suciu:
Influence Maximization and Extremal Optimization. HAIS 2019: 416-427 - [c25]Noémi Gaskó, Mihai Alexandru Suciu, Tamás Képes, Rodica Ioana Lung:
Shapley Value and Extremal Optimization for the Network Influence Maximization Problem. SYNASC 2019: 182-189 - 2018
- [j4]Rodica Ioana Lung, Noémi Gaskó, Mihai Alexandru Suciu:
A hypergraph model for representing scientific output. Scientometrics 117(3): 1361-1379 (2018) - [p1]Annamária Szenkovits, Regina Meszlényi, Krisztián Búza, Noémi Gaskó, Rodica Ioana Lung, Mihai Suciu:
Feature Selection with a Genetic Algorithm for Classification of Brain Imaging Data. Advances in Feature Selection for Data and Pattern Recognition 2018: 185-202 - 2017
- [j3]Rodica Ioana Lung, Mihai Suciu, Noémi Gaskó:
Noisy extremal optimization. Soft Comput. 21(5): 1253-1270 (2017) - [j2]Ligia Cremene, Noémi Gaskó, Marcel Cremene, Mihai Suciu, Aurel Vlaicu, D. Dumitrescu:
Scarce-resource capacity sharing in cognitive radio environments: a new game theoretical model. Telecommun. Syst. 66(2): 331-342 (2017) - [c24]Noémi Gaskó, Florentin Bota, Mihai Suciu, Rodica Ioana Lung:
Community structure detection in multipartite networks: a new fitness measure. GECCO 2017: 259-265 - [c23]Rodica Ioana Lung, Mihai-Alexandru Suciu, Noémi Gaskó:
Exploring the Map Equation: Community Structure Detection in Unweighted, Undirected Networks. MENDEL 2017: 245-253 - [c22]Noémi Gaskó, Mihai Suciu, Rodica Ioana Lung:
Dynamic Generalized Berge-Zhukovskii Equilibrium. MENDEL 2017: 311-319 - [c21]Noémi Gaskó, Mihai Alexandru Suciu, Rodica Ioana Lung:
Computation of Berge-Zhukovskii Equilibrium in Discrete Time Dynamic Games. SOCO-CISIS-ICEUTE 2017: 24-33 - [c20]Rodica Ioana Lung, Mihai Alexandru Suciu, Noémi Gaskó:
About Nash Equilibrium, Modularity Optimization, and Network Community Structure Detection. SOCO-CISIS-ICEUTE 2017: 209-218 - 2016
- [j1]Noémi Gaskó, Rodica Ioana Lung, Mihai Alexandru Suciu:
A new network model for the study of scientific collaborations: Romanian computer science and mathematics co-authorship networks. Scientometrics 108(2): 613-632 (2016) - [c19]Annamária Szenkovits, Noémi Gaskó, Erwan Jahier:
Environment-Model Based Testing with Differential Evolution in an Industrial Setting. EvoApplications (1) 2016: 819-830 - [c18]Mihai Suciu, Rodica Ioana Lung, Noémi Gaskó:
Game theory, Extremal optimization, and Community Structure Detection in Complex Networks. GECCO 2016: 405-412 - [c17]Tudor Dan Mihoc, Rodica Ioana Lung, Noémi Gaskó, Mihai Suciu:
Approximation of (k, t)-robust Equilibria. GECCO 2016: 805-811 - [c16]Noémi Gaskó, Rodica Ioana Lung, Mihai Alexandru Suciu:
Community Detection in Bipartite Networks Using a Noisy Extremal Optimization Algorithm. ISDA 2016: 871-878 - [c15]Rodica Ioana Lung, Mihai Suciu, Regina Meszlényi, Krisztián Búza, Noémi Gaskó:
Community Structure Detection for the Functional Connectivity Networks of the Brain. PPSN 2016: 633-643 - [c14]Annamária Szenkovits, Noémi Gaskó, Hunor Jakab:
Optimizing Test Input Generation for Reactive Systems with an Adaptive Differential Evolution. SYNASC 2016: 214-218 - 2015
- [c13]Mihai Suciu, Rodica Ioana Lung, Noémi Gaskó:
Mixing Network Extremal Optimization for Community Structure Detection. EvoCOP 2015: 126-137 - [c12]Mihai Alexandru Suciu, Rodica Ioana Lung, Noémi Gaskó, Tudor Dan Mihoc, Dan Dumitrescu:
Evolving Game Strategies in a Dynamic Cournot Oligopoly Setting. EVOLVE 2015: 118-128 - 2014
- [i3]Noémi Gaskó, Rodica Ioana Lung, D. Dumitrescu:
Computing Strong Nash Equilibria for Multiplayer Games. CoRR abs/1405.0108 (2014) - [i2]Noémi Gaskó, Mihai Suciu, Rodica Ioana Lung, D. Dumitrescu:
Characterization and Detection of epsilon-Berge Zhukovskii Equilibria. CoRR abs/1405.0355 (2014) - 2013
- [c11]Mihai Suciu, Rodica Ioana Lung, Noémi Gaskó, D. Dumitrescu:
Differential evolution for discrete-time large dynamic games. IEEE Congress on Evolutionary Computation 2013: 2108-2113 - [c10]David Iclanzan, Noémi Gaskó, Réka Nagy, D. Dumitrescu:
Multiobjective Evolution of Mixed Nash Equilibria. LION 2013: 304-314 - [c9]Ligia Chira Cremene, Noémi Gaskó, Marcel Cremene, Dumitru Dumitrescu:
A Game Theoretical Perspective on Small-Cell Open Capacity Sharing in Cognitive Radio Environments. NEW2AN 2013: 247-259 - [c8]Mihai Suciu, Noémi Gaskó, Rodica Ioana Lung, D. Dumitrescu:
Nash Equilibria Detection for Discrete-Time Generalized Cournot Dynamic Oligopolies. NICSO 2013: 343-354 - 2012
- [c7]Ligia Chira Cremene, D. Dumitrescu, Réka Nagy, Noémi Gaskó:
Cognitive radio simultaneous spectrum access/one-shot game modelling. CSNDSP 2012: 1-6 - [c6]David Iclanzan, Noémi Gaskó, D. Dumitrescu:
Evolving mixed nash equilibria for bimatrix games. GECCO (Companion) 2012: 655-656 - [c5]Réka Nagy, Noémi Gaskó, Rodica Ioana Lung, D. Dumitrescu:
Between Selfishness and Altruism: Fuzzy Nash-Berge-Zhukovskii Equilibrium. PPSN (1) 2012: 500-509 - [i1]Ligia Chira Cremene, D. Dumitrescu, Réka Nagy, Noémi Gaskó:
Cognitive Radio Simultaneous Spectrum Access/ One-shot Game Modelling. CoRR abs/1209.5770 (2012) - 2011
- [c4]Noémi Gaskó, D. Dumitrescu, Rodica Ioana Lung:
Evolutionary Detection of Berge and Nash Equilibria. NICSO 2011: 149-158 - [c3]D. Dumitrescu, Rodica Ioana Lung, Noémi Gaskó:
Detecting Strong Berge Pareto equilibrium in a non-cooperative game using an evolutionary approach. SACI 2011: 101-104 - 2010
- [c2]D. Dumitrescu, Rodica Ioana Lung, Noémi Gaskó, Tudor Dan Mihoc:
Evolutionary detection of aumann equilibrium. GECCO 2010: 827-828 - [c1]D. Dumitrescu, Rodica Ioana Lung, Noémi Gaskó, Réka Nagy:
Job Scheduling and Bin Packing from a Game Theoretical Perspective: An Evolutionary Approach. SYNASC 2010: 209-214
Coauthor Index
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