Publications

D. Perdigão, F. Antunes, C. Silva, B. Ribeiro, “Exploring Neural Joint Activity in Spiking Neural Networks for Fraud Detection”, in 27th Iberoamerican Congress on Pattern Recognition (CIARP 2024), November 2024 [in press].
🇨🇱 Talca

D. Perdigão, F. Antunes, , C. Silva, B. Ribeiro, “Improving Fraud Detection with 1D-Convolutional Spiking Neural Networks through Bayesian Optimization”, in 23rd EPIA International Conference on Artificial Intelligence (EPIA 2024), September 2024 [in press].
🇵🇹 Viana do Castelo

B. Faria, D. Perdigão, H. Gonçalo Oliveira. “Question Answering over Linked Data with GPT-3”, in Proceedings of the 12th Symposium on Languages, Applications and Technologies (SLATE 2023), pp. 1–15, August 2023.
🇵🇹 Vila do Conde
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B. Faria, D. Perdigão, J. Brás, and L. Macedo. “The Joint Role of Batch Size and Query Strategy in Active Learning-Based Prediction - A Case Study in the Heart Attack Domain”, in Proceedings of the the 21st EPIA Conference on Artificial Intelligence (EPIA 2022), pp. 464–475, September 2022.
🇵🇹 Lisbon
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D. Perdigão, “Bayesian Causal Inference in Deep Spiking Neural Networks,” in 27th European Conference on Artificial Inteligence (ECAI 2024), October 2024.
🇪🇸 Santiago de Compostela
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D. Perdigão, “Bayesian Causal Inference in Deep Spiking Neural Networks,” in 23rd EPIA International Conference on Artificial Intelligence (EPIA 2024), September 2024.
🇵🇹 Viana do Castelo
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D. Perdigão, T. Cruz, P. Simões and P. H. Abreu, “Data-Centric Federated Learning for Anomaly Detection in Smart Grids and Other Industrial Control Systems,” in NOMS 2024-2024 IEEE Network Operations and Management Symposium, May 2024.
🇰🇷 Seoul
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D. Perdigão, P. Henriques Abreu, T. J. Cruz. “Towards An Intrusion Detection System For Smart Grids: A Federated Approach”, in 22nd European Conference on Cyber Warfare and Security (ECCWS 2023), June 2023.
🇬🇷 Athens
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