From the 1 of 39 linked papers with an AI index.
12 citations · 13 across the 12 of their papers we have counts for
39 papers
ChorusTIC: Training-Free Multivariate Time Series Classification via Chorus In-Context Learning
Juntao Fang, Shifeng Xie, Ruichu Cai +6
Time series classification underpins applications in healthcare, sensing, and industrial monitoring. Although time series foundation models support forecasting and transferable rep…
AgenticER: the next frontier in Entity Resolution
George Papadakis, Panos Korovesis, Manolis Koubarakis +1
The paper proposes Agentic Entity Resolution, a new paradigm where autonomous agents actively plan and execute sequential decision-making steps to resolve entities, gathering evide…
Post-Training in Time Series Foundation Models: A Unifying Framework
Shifeng Xie, Ambroise Odonnat, Zehao Xiao +7
Time series foundation models (TSFMs) have emerged as general-purpose models for time series analysis, but pretraining alone is often insufficient for reliable downstream deploymen…
Rethinking Zero-Shot Time Series Classification: From Task-specific Classifiers to In-Context Inference
Juntao Fang, Shifeng Xie, Shengbin Nie +7
The zero-shot evaluation of time series foundation models (TSFMs) for classification typically uses a frozen encoder followed by a task-specific classifier. However, this practice…
DaiSy: A Library for Scalable Data Series Similarity Search
Francesca Del Gaudio, Manos Chatzakis, Gayathiri Ravendirane +2
Exact similarity search over large collections of data series is a fundamental operation in modern applications, yet existing solutions are often fragmented, specialized, or tailor…
Evaluating and Generating Query Workloads for High Dimensional Vector Similarity Search
Matteo Ceccarello, Alexandra Levchenko, Ioana Ileana +1
Similarity search lies at the heart of many modern applications, ranging from databases to deep learning to data series analysis. As such, a vast effort has been invested in develo…