- CalibraSNN: Fair and Calibrated Convolutional Spiking Neural Network for High-Stakes Industry Applications
- Spiking Alternatives for the Leaky Integrate-and-Fire Neuron: Applications in Cybersecurity and Financial Threats
- 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