Training LSTM for Unsupervised Anomaly Detection Without A Priori Knowledge. - Yann Cherdo; Paul de Kerret; Renaud Pawlak (ICASSP, 2020)

Time series prediction and anomaly detection with recurrent spiking neural networks. - Yann Cherdo; Benoît Miramond; Alain Pegatoquet (IJCNN, 2023)

Unsupervised Anomaly Detection for Cars CAN Sensors Time Series Using Small Recurrent and Convolutional Neural Networks. - Yann Cherdo; Benoît Miramond; Alain Pegatoquet; Alain Vallauri (Sensors, 2023)

Unsupervised anomaly detection on time series using SNN for lower computational costs. (Détection d'anomalie non supervisée sur les séries temporelle à faible coût énergétique utilisant les SNNs). - Yann Cherdo (2024)