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Items where Author is "Nicosia, Dr Giuseppe"

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Number of items: 11.


Ojha, V. ORCID:, Timmis, J. and Nicosia, G. (2022) Assessing ranking and effectiveness of evolutionary algorithm hyperparameters using global sensitivity analysis methodologies. Swarm and Evolutionary Computation, 74. 101130. ISSN 2210-6502 doi:

Amaradio, M. N., Ojha, V. ORCID:, Jansen, G., Gulisano, M., Costanza, J. and Nicosia, G. (2022) Pareto optimal metabolic engineering for the growth-coupled overproduction of sustainable chemicals. Biotechnology and Bioengineering, 119 (7). pp. 1890-1902. ISSN 0006-3592 doi:

Ojha, V. ORCID: and Nicosia, G. (2022) Backpropagation neural tree. Neural Networks, 149. ISSN 0893-6080 doi:

Patané, A., Jansen, G., Conca, P., Carapezza, G., Costanza, J. and Nicosia, G. (2019) Multi-objective optimization of genome-scale metabolic models: the case of ethanol production. Annals of Operations Research, 276 (1-2). pp. 211-227. ISSN 0254-5330 doi:

Patanè, A., Santoro, A., Romano, V., Magna, A. L. and Nicosia, G. (2018) Enhancing quantum efficiency of thin-film silicon solar cells by Pareto optimality. Journal of Global Optimization, 72 (3). pp. 491-515. ISSN 0925-5001 doi:

Santoro, A., Latora, V., Nicosia, G. and Nicosia, V. (2018) Pareto optimality in multilayer network growth. Physical Review Letters, 121 (12). 128302. ISSN 0031-9007 doi:

Book or Report Section

Assaf, O., Di Fatta, G. and Nicosia, G. (2022) Multivariate LSTM for stock market volatility prediction. In: Nicosia, G., Ojha, V., La Malfa, E., La Malfa, G., Jansen, G., Pardalos, P. M., Giuffrida, G. and Umeton, R. (eds.) Machine Learning, Optimization, and Data Science: 7th International Conference, LOD 2021, Grasmere, UK, October 4–8, 2021, Revised Selected Papers. Lecture Notes in Computer Science, II (13164). Springer, pp. 531-544. ISBN 978303954697 doi:

Conference or Workshop Item

Pravin, C., Martino, I., Nicosia, G. and Ojha, V. ORCID: (2021) Adversarial robustness in deep learning: attacks on fragile neurons. In: 30th International Conference on Artificial Neural Networks, September 14-17, 2021, Bratislava, Slovakia (Online), pp. 16-28. doi:

Taylor, R., Ojha, V. ORCID:, Martino, I. and Nicosia, G. (2021) Sensitivity analysis for deep learning: ranking hyper-parameter influence. In: 33rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI2021), 1-3 NOV 2021, Online. doi:

Ojha, V. ORCID: and Nicosia, G. (2020) Multi-objective optimisation of multi-output neural trees. In: IEEE Congress on Evolutionary Computation (IEEE CEC 2020), 19-24 July 2020, Glasgow, Scotland, UK. doi:

Salvatore D., R., Deyan, D., Giorgio, J., Di Fatta, G. and Nicosia, G. (2020) Pareto multi-task deep learning. In: The 29th International Conference on Artificial Neural Networks (ICANN 2020), 15-18 September 2020, pp. 132-141. doi: (Part II)

This list was generated on Wed Apr 17 02:43:32 2024 UTC.

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