2 citations · 6 across the 3 of their papers we have counts for
6 papers
Multi-Agent Coverage in Urban Environments
Shivang Patel, Senthil Hariharan, Pranav Dhulipala +4
We study multi-agent coverage algorithms for autonomous monitoring and patrol in urban environments. We consider scenarios in which a team of flying agents uses downward facing cam…
Maximizing Cumulative User Engagement in Sequential Recommendation: An Online Optimization Perspective
Yifei Zhao, Yu-Hang Zhou, Mingdong Ou +2
To maximize cumulative user engagement (e.g. cumulative clicks) in sequential recommendation, it is often needed to tradeoff two potentially conflicting objectives, that is, pursui…
RobustPeriod: Time-Frequency Mining for Robust Multiple Periodicity Detection
Qingsong Wen, Kai He, Liang Sun +3
Periodicity detection is a crucial step in time series tasks, including monitoring and forecasting of metrics in many areas, such as IoT applications and self-driving database mana…
A Unified Framework for Marketing Budget Allocation
Kui Zhao, Junhao Hua, Ling Yan +3
While marketing budget allocation has been studied for decades in traditional business, nowadays online business brings much more challenges due to the dynamic environment and comp…
RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series
Qingsong Wen, Jingkun Gao, Xiaomin Song +3
Decomposing complex time series into trend, seasonality, and remainder components is an important task to facilitate time series anomaly detection and forecasting. Although numerou…
A Multi-State Diagnosis and Prognosis Framework with Feature Learning for Tool Condition Monitoring
Chong Zhang, Geok Soon Hong, Jun-Hong Zhou +5
In this paper, a multi-state diagnosis and prognosis (MDP) framework is proposed for tool condition monitoring via a deep belief network based multi-state approach (DBNMS). For fau…