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Gaskó, Noémi
38  Ergebnisse:
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1

Solving Continuous Optimization Problems with a New Hyperhe..:

, In: Machine Learning, Optimization, and Data Science; Lecture Notes in Computer Science,
Bándi, Nándor ; Gaskó, Noémi - p. 116-130 , 2024
Link: https://doi.org/10.1007/..
 
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2

A Pseudo-Deterministic Noisy Extremal Optimization algorith..:

Gaskó, Noémi ; Suciu, Mihai-Alexandru ; Ioana Lung, Rodica.
Logic Journal of the IGPL.  , 2024
Link: https://doi.org/10.1093/..
 
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3

Nested Markov chain hyper-heuristic (NMHH): a hybrid hyper-..:

Bándi, Nándor ; Gaskó, Noémi
PeerJ Computer Science.  10 (2024)  - p. e1785 , 2024
Link: https://doi.org/10.7717/..
 
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4

Heaviest and Densest Subgraph Computation for Binary Classi..:

, In: Machine Learning, Optimization, and Data Science; Lecture Notes in Computer Science,
Tasnádi, Zoltán ; Gaskó, Noémi - p. 140-148 , 2024
Link: https://doi.org/10.1007/..
 
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5

Binary Classification with Genetic Algorithms. A Study on F..:

, In: Hybrid Intelligent Systems; Lecture Notes in Networks and Systems,
Gaskó, Noémi - p. 756-761 , 2023
Link: https://doi.org/10.1007/..
 
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6

Identification of influential nodes with Shapley Influence ..:

Gaskó, Noémi ; Képes, Tamás ; Lung, Rodica Ioana.
Applied Soft Computing.  146 (2023)  - p. 110653 , 2023
Link: https://doi.org/10.1016/..
 
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7

An Evolutionary Approach for Critical Node Detection in Hyp..:

, In: Intelligent Systems Design and Applications; Lecture Notes in Networks and Systems,
Gaskó, Noémi ; Suciu, Mihai ; Lung, Rodica Ioana. - p. 1110-1117 , 2022
Link: https://doi.org/10.1007/..
 
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8

An Ant Colony Optimisation Approach to the Densest k-Subgra..:

, In: 2022 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC),
Tasnadi, Zoltan ; Gasko, Noemi - p. 208-211 , 2022
Link: https://doi.org/10.1109/..
 
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9

An Extremal Optimization Approach to the Pairwise Connectiv..:

, In: Lecture Notes in Networks and Systems; 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022),
Gaskó, Noémi ; Képes, Tamás ; Suciu, Mihai. - p. 109-118 , 2022
Link: https://doi.org/10.1007/..
 
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10

The Combined Critical Node and Edge Detection Problem. An E..:

, In: Lecture Notes in Computer Science; Parallel Problem Solving from Nature – PPSN XVII,
Képes, Tamás ; Gaskó, Noémi ; Vekov, Géza - p. 324-338 , 2022
Link: https://doi.org/10.1007/..
 
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11

A New Type of Anomaly Detection Problem in Dynamic Graphs: ..:

, In: Lecture Notes in Computer Science; Bioinspired Optimization Methods and Their Applications,
Tasnádi, Zoltán ; Gaskó, Noémi - p. 46-53 , 2022
Link: https://doi.org/10.1007/..
 
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12

Approaching the bi-objective critical node detection proble..:

Béczi, Eliézer ; Gaskó, Noémi
PeerJ Computer Science.  7 (2021)  - p. e750 , 2021
Link: https://doi.org/10.7717/..
 
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13

A Simple Genetic Algorithm for the Critical Node Detection ..:

, In: Lecture Notes in Computer Science; Hybrid Artificial Intelligent Systems,
Suciu, Mihai-Alexandru ; Gaskó, Noémi ; Képes, Tamás. - p. 124-133 , 2021
Link: https://doi.org/10.1007/..
 
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14

Critical Node Detection for Maximization of Connected Compo..:

, In: 16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021); Advances in Intelligent Systems and Computing,
Gaskó, Noémi ; Képes, Tamás ; Suciu, Mihai. - p. 502-511 , 2021
Link: https://doi.org/10.1007/..
 
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15

Considerations about using the Shapley Value for Influence ..:

, In: 2020 IEEE 18th World Symposium on Applied Machine Intelligence and Informatics (SAMI),
Gasko, Noemi ; Kepes, Tamas ; Suciu, Mihai-Alexandru. - p. 257-262 , 2020
Link: https://doi.org/10.1109/..
 
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