Number of items: 11.
Ojha, V.
ORCID: https://orcid.org/0000-0002-9256-1192, Timmis, J. and Nicosia, G.
(2022)
Assessing ranking and effectiveness of evolutionary algorithm hyperparameters using global sensitivity analysis methodologies.
Swarm and Evolutionary Computation.
ISSN 2210-6502
(In Press)
Ojha, V.
ORCID: https://orcid.org/0000-0002-9256-1192 and Nicosia, G.
(2022)
Backpropagation neural tree.
Neural Networks, 149.
ISSN 0893-6080
doi: https://doi.org/10.1016/j.neunet.2022.02.003
Amaradio, M. N., Ojha, V.
ORCID: https://orcid.org/0000-0002-9256-1192, 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.
ISSN 0006-3592
doi: https://doi.org/10.1002/bit.28103
(In Press)
Assaf, O., Di Fatta, G. and Nicosia, G.
(2022)
Multivariate LSTM for stock market volatility prediction.
In: International Conference on Machine Learning, Optimization, and Data Science, 4-8 OCT 2021, Grasmere, UK, pp. 531-544.
doi: https://doi.org/10.1007/978-3-030-95470-3_40
Taylor, R., Ojha, V.
ORCID: https://orcid.org/0000-0002-9256-1192, 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: https://doi.org/10.1109/ICTAI52525.2021.00083
Pravin, C., Martino, I., Nicosia, G. and Ojha, V.
ORCID: https://orcid.org/0000-0002-9256-1192
(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: https://doi.org/10.1007/978-3-030-86362-3_2
Ojha, V. 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: https://doi.org/10.1109/CEC48606.2020.9185600
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: https://doi.org/10.1007/978-3-030-61616-8
(Part II)
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: https://doi.org/10.1007/s10479-018-2865-4
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: https://doi.org/10.1007/s10898-018-0639-9
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: https://doi.org/10.1103/PhysRevLett.121.128302
This list was generated on Sun Aug 14 12:48:53 2022 UTC.