176 citations · 189 across the 8 of their papers we have counts for
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cs.LG2020★ 176 cited
Real-World Anomaly Detection by using Digital Twin Systems and Weakly-Supervised Learning
Andrea Castellani, Sebastian Schmitt, Stefano Squartini
The continuously growing amount of monitored data in the Industry 4.0 context requires strong and reliable anomaly detection techniques. The advancement of Digital Twin technologie…
cs.LG2019
Transfer Learning for Non-Intrusive Load Monitoring
Michele DIncecco, Stefano Squartini, Mingjun Zhong
Non-intrusive load monitoring (NILM) is a technique to recover source appliances from only the recorded mains in a household. NILM is unidentifiable and thus a challenge problem be…