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Giuseppe Nicosia
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Publications
- 2024
- [j32]Chandresh Pravin, Ivan Martino, Giuseppe Nicosia, Varun Ojha:
Fragility, robustness and antifragility in deep learning. Artif. Intell. 327: 104060 (2024) - [e22]Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Renato Umeton:
Machine Learning, Optimization, and Data Science - 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers, Part I. Lecture Notes in Computer Science 14505, Springer 2024, ISBN 978-3-031-53968-8 [contents] - [e21]Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Renato Umeton:
Machine Learning, Optimization, and Data Science - 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers, Part II. Lecture Notes in Computer Science 14506, Springer 2024, ISBN 978-3-031-53965-7 [contents] - 2023
- [j31]Varun Ojha, Bartolomeo Pantò, Giuseppe Nicosia:
Adaptive search space decomposition method for pre- and post-buckling analyses of space truss structures. Eng. Appl. Artif. Intell. 117(Part): 105593 (2023) - [e20]Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Giuseppe Di Fatta, Giovanni Giuffrida, Renato Umeton:
Machine Learning, Optimization, and Data Science - 8th International Workshop, LOD 2022, Certosa di Pontignano, Italy, September 19-22, 2022, Revised Selected Papers, Part I. Lecture Notes in Computer Science 13810, Springer 2023, ISBN 978-3-031-25598-4 [contents] - [e19]Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Giuseppe Di Fatta, Giovanni Giuffrida, Renato Umeton:
Machine Learning, Optimization, and Data Science - 8th International Workshop, LOD 2022, Certosa di Pontignano, Italy, September 19-22, 2022, Revised Selected Papers, Part II. Lecture Notes in Computer Science 13811, Springer 2023, ISBN 978-3-031-25890-9 [contents] - [i10]Chandresh Pravin, Ivan Martino, Giuseppe Nicosia, Varun Ojha:
Fragility, Robustness and Antifragility in Deep Learning. CoRR abs/2312.09821 (2023) - 2022
- [j30]Varun Ojha, Giuseppe Nicosia:
Backpropagation Neural Tree. Neural Networks 149: 66-83 (2022) - [j29]Varun Ojha, Jon Timmis, Giuseppe Nicosia:
Assessing ranking and effectiveness of evolutionary algorithm hyperparameters using global sensitivity analysis methodologies. Swarm Evol. Comput. 74: 101130 (2022) - [c58]Matteo N. Amaradio, Giorgio Jansen, Varun Ojha, Jole Costanza, Giuseppe Di Fatta, Giuseppe Nicosia:
Inferring Pathological Metabolic Patterns in Breast Cancer Tissue from Genome-Scale Models. LOD (1) 2022: 596-612 - [e18]Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Giorgio Jansen, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton:
Machine Learning, Optimization, and Data Science - 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part I. Lecture Notes in Computer Science 13163, Springer 2022, ISBN 978-3-030-95466-6 [contents] - [e17]Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Giorgio Jansen, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton:
Machine Learning, Optimization, and Data Science - 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part II. Lecture Notes in Computer Science 13164, Springer 2022, ISBN 978-3-030-95469-7 [contents] - [i9]Chandresh Pravin, Ivan Martino, Giuseppe Nicosia, Varun Ojha:
Adversarial Robustness in Deep Learning: Attacks on Fragile Neurons. CoRR abs/2201.12347 (2022) - [i8]Varun Ojha, Giuseppe Nicosia:
Backpropagation Neural Tree. CoRR abs/2202.02248 (2022) - [i7]Varun Ojha, Jon Timmis, Giuseppe Nicosia:
Assessing Ranking and Effectiveness of Evolutionary Algorithm Hyperparameters Using Global Sensitivity Analysis Methodologies. CoRR abs/2207.04820 (2022) - [i5]Varun Ojha, Bartolomeo Pantò, Giuseppe Nicosia:
Adaptive search space decomposition method for pre- and post- buckling analyses of space truss structures. CoRR abs/2211.07519 (2022) - 2021
- [c57]Chandresh Pravin, Ivan Martino, Giuseppe Nicosia, Varun Ojha:
Adversarial Robustness in Deep Learning: Attacks on Fragile Neurons. ICANN (1) 2021: 16-28 - [c55]Rhian Taylor, Varun Ojha, Ivan Martino, Giuseppe Nicosia:
Sensitivity Analysis for Deep Learning: Ranking Hyper-parameter Influence. ICTAI 2021: 512-516 - 2020
- [c52]Varun Ojha, Giuseppe Nicosia:
Multi-Objective Optimisation of Multi-Output Neural Trees. CEC 2020: 1-8 - [e16]Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Giorgio Jansen, Vincenzo Sciacca, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton:
Machine Learning, Optimization, and Data Science - 6th International Conference, LOD 2020, Siena, Italy, July 19-23, 2020, Revised Selected Papers, Part I. Lecture Notes in Computer Science 12565, Springer 2020, ISBN 978-3-030-64582-3 [contents] - [e15]Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Giorgio Jansen, Vincenzo Sciacca, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton:
Machine Learning, Optimization, and Data Science - 6th International Conference, LOD 2020, Siena, Italy, July 19-23, 2020, Revised Selected Papers, Part II. Lecture Notes in Computer Science 12566, Springer 2020, ISBN 978-3-030-64579-3 [contents] - [i3]Varun Ojha, Giuseppe Nicosia:
Multi-Objective Optimisation of Multi-Output Neural Trees. CoRR abs/2010.04524 (2020)
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last updated on 2024-04-25 05:42 CEST by the dblp team
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