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Pierluigi Salvo Rossi

2 accepted papers

2025

Autoregressive Density Estimation Transformers for Multivariate Time Series Anomaly Detection

ICASSP 2025accepted

Anomaly detection in multivariate time series (MTS) from sensor data is critical in many industrial applications. The challenge lies in managing massive unlabeled datasets with complex spatio-temporal correlations, diverse anomalies, and noise. While several unsupervised methods have been proposed,…

Cited by 0SourceScholar
2023

Sparse Bayesian Learning Assisted Decision Fusion in Millimeter Wave Massive MIMO Sensor Networks

ICASSP 2023accepted

This paper investigates decision fusion in millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) wireless sensor network (WSNs), where the sparse Bayesian learning (SBL) algorithm is employed to estimate the channel between the sensors and the fusion center (FC). We present low-comp…

Cited by 0SourceScholar