- Exploring neural joint activity in spiking neural networks for fraud detection
- 1D-Convolutional Spiking Neural Network Optimisation for Bank Account Fraud Detection
- Improving Fraud Detection with 1D-Convolutional Spiking Neural Networks Through Bayesian Optimization
- Convolutional spiking neural networks targeting learning and inference in highly imbalanced datasets
- Data-Centric Federated Learning for Anomaly Detection in Smart Grids and Other Industrial Control Systems
- Towards an Intrusion Detection System for Smart Grids: A Federated Approach
- Question answering over linked data with GPT-3
- The Joint Role of Batch Size and Query Strategy in Active Learning-Based Prediction – A Case Study in the Heart Attack Domain
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University of Coimbra
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20:53
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- https://orcid.org/0000-0001-6923-900X
- @dylanperdigao
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- https://researchgate.net/profile/Dylan-Perdigao
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Taxonomy-for-Minority-Classes
Taxonomy-for-Minority-Classes PublicClassification of minority class examples in Python with Heterogeneous Value Difference Metric (HVDM)
Jupyter Notebook 1
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Bayesian-Optimization-1D-CSNN
Bayesian-Optimization-1D-CSNN PublicSource code of the paper entitled "Improving Fraud Detection with 1D-Convolutional Spiking Neural Networks through Bayesian Optimization", and presented at EPIA 2024, the 23rd International Confere…
Jupyter Notebook 2
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Neural-Joint-Activity-in-SNNs
Neural-Joint-Activity-in-SNNs PublicSource code of the paper entitled "Exploring Neural Joint Activity in Spiking Neural Networks for Fraud Detection", and presented at CIARP 2024, the 27th Iberamerican Congress on Pattern Recognition.
Jupyter Notebook 1
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Fair-Sustainable-CSNN
Fair-Sustainable-CSNN PublicFair and Sustainable Convolutional Spiking Neural Network
Jupyter Notebook
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