3 citations · 6 across the 2 of their papers we have counts for
3 papers
cs.LG2022★ 3 cited
Multiple Instance Learning for Detecting Anomalies over Sequential Real-World Datasets
Parastoo Kamranfar, David Lattanzi, Amarda Shehu +1
Detecting anomalies over real-world datasets remains a challenging task. Data annotation is an intensive human labor problem, particularly in sequential datasets, where the start a…
cs.LG2021★ 3 cited
Traffic Flow Forecasting with Maintenance Downtime via Multi-Channel Attention-Based Spatio-Temporal Graph Convolutional Networks
Yuanjie Lu, Parastoo Kamranfar, David Lattanzi +1
Forecasting traffic flows is a central task in intelligent transportation system management. Graph structures have shown promise as a modeling framework, with recent advances in sp…
stat.ML2018
Bridge type classification: supervised learning on a modified NBI dataset
Achyuthan Jootoo, David Lattanzi
A key phase in the bridge design process is the selection of the structural system. Due to budget and time constraints, engineers typically rely on engineering judgment and prior e…