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RT4 Publications: AI Driven Edge Data and Model Guard

2024

Westcarr, Jevon; Gunturi, Venkata M. V.; Cabaneros, Sheen Mclean; Kureshi, Rameez Raja; Thakker, Dhavalkumar; Porter, Amanda

Devising a Responsible Framework for Air Quality Sensor Placement Bachelor Thesis

2024.

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Davlembayeva, D.; Abbas, R.; Laffey, D.; Michael, K.; Papagiannidis, S.

The Current State and Future Trajectory of the Sharing Economy: A Multi-Stakeholder Perspective Journal Article

In: International Journal of Business Science and Applied Management, vol. 19, no. 1, pp. 1–29, 2024.

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Pravin, C.; Martino, I.; Nicosia, G.; Ojha, V.

Fragility, robustness and antifragility in deep learning Journal Article

In: Artificial Intelligence, vol. 327, pp. 104060, 2024.

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Suganthan, P. N.; Kong, L.; Snášel, V.; Ojha, V.; Aly, H. A. H. Z.

Euclidean and Poincaré space ensemble Xgboost Journal Article

In: Information Fusion, pp. 102746, 2024.

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Snášel, V.; Štěpnička, M.; Ojha, V.; Suganthan, P. N.; Gao, R.; Kong, L.

Large-scale data classification based on the integrated fusion of fuzzy learning and graph neural network Journal Article

In: Information Fusion, vol. 102, pp. 102067, 2024.

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Alqattan, D.; Ojha, V.; Habib, F.; Noor, A.; Morgan, G.; Ranjan, R.

Modular neural network for Edge-based Detection of early-stage IoT Botnet Journal Article

In: High-Confidence Computing, pp. 100230, 2024.

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Duan, H.; Wang, S.; Ojha, V.; Wang, S.; Huang, Y.; Long, Y.; Ranjan, R.; Zheng, Y.

Wearable-based behaviour interpolation for semi-supervised human activity recognition Journal Article

In: Information Sciences, vol. 665, pp. 120393, 2024.

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2023

Kong, L.; Ojha, V.; Gao, R.; Suganthan, P. N.; Snášel, V.

Low-rank and global-representation-key-based attention for graph transformer Journal Article

In: Information Sciences, vol. 642, pp. 119108, 2023.

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Ayers, D.; Lau, J.; Amezcua, J.; Carrassi, A.; Ojha, V.

Supervised machine learning to estimate instabilities in chaotic systems: Estimation of local Lyapunov exponents Journal Article

In: Quarterly Journal of the Royal Meteorological Society, vol. 149, no. 753, pp. 1236-1262, 2023.

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2022

Ojha, V.; Nicosia, G.

Backpropagation neural tree Journal Article

In: Neural Networks, vol. 149, pp. 66-83, 2022.

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Ojha, V.; Timmis, J.; Nicosia, G.

Assessing ranking and effectiveness of evolutionary algorithm hyperparameters using global sensitivity analysis methodologies Journal Article

In: Swarm and Evolutionary Computation, vol. 74, pp. 101130, 2022.

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2021

Taylor, R.; Ojha, V.; Martino, I.; Nicosia, G.

Sensitivity analysis for deep learning: ranking hyper-parameter influence Proceedings Article

In: 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI), pp. 512-516, IEEE, 2021.

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Pravin, C.; Martino, I.; Nicosia, G.; Ojha, V.

Adversarial robustness in deep learning: attacks on fragile neurons Proceedings Article

In: International Conference on Artificial Neural Networks, pp. 16-28, Springer, Cham, 2021.

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Vandaele, R.; Dance, S. L.; Ojha, V.

Deep learning for automated river-level monitoring through river-camera images: an approach based on water segmentation and transfer learning Journal Article

In: Hydrology and Earth System Sciences, vol. 25, no. 8, pp. 4435-4453, 2021.

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