Search Results for author: Arundhati Banerjee

Found 3 papers, 0 papers with code

Multi-Agent Active Search using Detection and Location Uncertainty

no code implementations9 Mar 2022 Arundhati Banerjee, Ramina Ghods, Jeff Schneider

Active search refers to the task of autonomous robots (agents) detecting objects of interest (targets) in a search space using decision making algorithms that adapt to the history of their observations.

Decision Making

Asynchronous Multi Agent Active Search

no code implementations25 Jun 2020 Ramina Ghods, Arundhati Banerjee, Jeff Schneider

Active search refers to the problem of efficiently locating targets in an unknown environment by actively making data-collection decisions, and has many applications including detecting gas leaks, radiation sources or human survivors of disasters using aerial and/or ground robots (agents).

Compressive Sensing

DeepTagRec: A Content-cum-User based Tag Recommendation Framework for Stack Overflow

no code implementations10 Mar 2019 Suman Kalyan Maity, Abhishek Panigrahi, Sayan Ghosh, Arundhati Banerjee, Pawan Goyal, Animesh Mukherjee

In this paper, we develop a content-cum-user based deep learning framework DeepTagRec to recommend appropriate question tags on Stack Overflow.

TAG

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