3 accepted papers
Reconstruction-based frameworks are widely adopted in Time Series Anomaly Detection (TSAD), assuming that models reconstruct normal behavior well but yield larger errors on anomalies. However, in unsupervised TSAD, minimizing reconstruction loss alone often breaks this assumption. Models tend to ove
In the face of economic downturns, Small and Medium-sized Enterprises (SMEs) within interconnected networked-loans are vulnerable to cascading debt crises, exacerbated by factors like social media-induced financial shocks. Traditional risk assessment models, which mainly rely on financial data, inad…
Improving the performance of automatic speech recognition (ASR) in adverse acoustic environments is a long-term tough task. Although many robust ASR systems based on conventional microphones have been developed, their performance with air-conducted (AC) speech is still far from satisfactory in low s…