4 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 1 cited
NLP Based Anomaly Detection for Categorical Time Series
Matthew Horak, Sowmya Chandrasekaran, Giovanni Tobar
Identifying anomalies in large multi-dimensional time series is a crucial and difficult task across multiple domains. Few methods exist in the literature that address this task whe…
cs.CV2021★ 4 cited
A two-step machine learning approach for crop disease detection: an application of GAN and UAV technology
Aaditya Prasad, Nikhil Mehta, Matthew Horak +1
Automated plant diagnosis is a technology that promises large increases in cost-efficiency for agriculture. However, multiple problems reduce the effectiveness of drones, including…