2 citations · 4 across the 7 of their papers we have counts for
4 papers · 1 filter
ProCTI: Prototype-Refined Global Conditioning for Diffusion-Based Time Series Imputation
Fariza Rashid, Duc Van Le, Rahat Masood +3
Time series imputation has progressed from statistical and deep learning approaches to diffusion-based models, which have shown strong recent performance. Existing diffusion-based…
Label Shift Estimation With Incremental Prior Update
Yunrui Zhang, Gustavo Batista, Salil S. Kanhere
An assumption often made in supervised learning is that the training and testing sets have the same label distribution. However, in real-life scenarios, this assumption rarely hold…
Generalizable IoT Traffic Representations for Cross-Network Device Identification
Arunan Sivanathan, David Warren, Deepak Mishra +8
Machine learning models have demonstrated strong performance in classifying network traffic and identifying Internet-of-Things (IoT) devices, enabling operators to discover and man…
Revisit Time Series Classification Benchmark: The Impact of Temporal Information for Classification
Yunrui Zhang, Gustavo Batista, Salil S. Kanhere
Time series classification is usually regarded as a distinct task from tabular data classification due to the importance of temporal information. However, in this paper, by perform…