most citedMOSPAT: AutoML based Model Selection and Parameter Tuning for Time Series Anomaly Detection

7 citations · 7 across the 2 of their papers we have counts for

collaborators

2 papers

cs.DB2025

Structured Multi-Step Reasoning for Entity Matching Using Large Language Model

Rohan Bopardikar, Jin Wang, Jia Zou

Entity matching is a fundamental task in data cleaning and data integration. With the rapid adoption of large language models (LLMs), recent studies have explored zero-shot and few…

cs.LG2022★ 7 cited

MOSPAT: AutoML based Model Selection and Parameter Tuning for Time Series Anomaly Detection

Sourav Chatterjee, Rohan Bopardikar, Marius Guerard +2

Organizations leverage anomaly and changepoint detection algorithms to detect changes in user behavior or service availability and performance. Many off-the-shelf detection algorit…