79 citations · 194 across the 39 of their papers we have counts for
6 papers · 1 filter
Learning-based Application-Agnostic 3D NoC Design for Heterogeneous Manycore Systems
Biresh Kumar Joardar, Ryan Gary Kim, Janardhan Rao Doppa +3
The rising use of deep learning and other big-data algorithms has led to an increasing demand for hardware platforms that are computationally powerful, yet energy-efficient. Due to…
GLAD: GLocalized Anomaly Detection via Human-in-the-Loop Learning
Md Rakibul Islam, Shubhomoy Das, Janardhan Rao Doppa +1
Human analysts that use anomaly detection systems in practice want to retain the use of simple and explainable global anomaly detectors. In this paper, we propose a novel human-in-…
Active Anomaly Detection via Ensembles
Shubhomoy Das, Md Rakibul Islam, Nitthilan Kannappan Jayakodi +1
In critical applications of anomaly detection including computer security and fraud prevention, the anomaly detector must be configurable by the analyst to minimize the effort on f…
Learning Scripts as Hidden Markov Models
J. Walker Orr, Prasad Tadepalli, Janardhan Rao Doppa +2
Scripts have been proposed to model the stereotypical event sequences found in narratives. They can be applied to make a variety of inferences including filling gaps in the narrati…
Preference-Guided Planning: An Active Elicitation Approach
Mayukh Das, Phillip Odom, Md. Rakibul Islam +4
Planning with preferences has been employed extensively to quickly generate high-quality plans. However, it may be difficult for the human expert to supply this information without…
Learning to Speed Up Query Planning in Graph Databases
Mohammad Hossain Namaki, F A Rezaur Rahman Chowdhury, Md Rakibul Islam +2
Querying graph structured data is a fundamental operation that enables important applications including knowledge graph search, social network analysis, and cyber-network security.…