Rajan Bhattacharyya

According to our database, Rajan Bhattacharyya authored at least 21 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CAVA: Cognitive Aid for Vulnerability Analysis.

Evelyn Kim, Sunny Fugate, Christian Lebiere, Aidan Barbieux, Jonathan Buch, Jaehoon Cho, Edward A. Cranford, Joseph DiVita, Jeremy Johnson, Mia Levy, Froylan Maldonado, Brianna Marsh, Donald Morrison, Jocelyn Rego, Mitchell Sayer, Alex Waagen, Rajan Bhattacharyya

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023

Semi-supervised Learning of Visual Causal Macrovariables.

Aruna Jammalamadaka, Lingyi Zhang, Joseph F. Comer, Sasha Strelnikoff, Ryan Mustari, Tsai-Ching Lu, Rajan Bhattacharyya

Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

2021

CogSense: A Cognitively Inspired Framework for Perception Adaptation.

Hyukseong Kwon, Amir M. Rahimi, Kevin G. Lee, Amit Agarwal, Rajan Bhattacharyya

CoRR, 2021

Toward Improving the Visual Characterization of Sport Activities With Abstracted Scene Graphs.

Amir M. Rahimi, Kevin G. Lee, Amit Agarwal, Hyukseong Kwon, Rajan Bhattacharyya

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2018

Automatic Rule Learning for Autonomous Driving Using Semantic Memory.

Dmitriy Korchev, Aruna Jammalamadaka, Rajan Bhattacharyya

CoRR, 2018

2017

Does Neurotechnology Produce a Better Brain?

Rajan Bhattacharyya, Brian A. Coffman, Jaehoon Choe, Matthew E. Phillips

Computer, 2017

Automatic Tactical Adjustment in Real-Time: Modeling Adversary Formations with Radon-Cumulative Distribution Transform and Canonical Correlation Analysis.

Amir M. Rahimi, Soheil Kolouri, Rajan Bhattacharyya

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2015

Feature transformation of neural activity with sparse and low-rank decomposition.

Kang-Yu Ni, James Benvenuto, Rajan Bhattacharyya, Rachel Millin

Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015

Reinforcement learning and instance-based learning approaches to modeling human decision making in a prognostic foraging task.

Suhas E. Chelian, Jaehyon Paik, Peter Pirolli, Christian Lebiere, Rajan Bhattacharyya

Proceedings of the 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2015

2014

Complementary Learning Systems.

Randall C. O'Reilly, Rajan Bhattacharyya, Michael D. Howard, Nicholas Ketz

Cogn. Sci., 2014

Learning to Prognostically Forage in a Neural Network Model of the Interactions between Neuromodulators and Prefrontal Cortex.

Suhas E. Chelian, Matthias D. Ziegler, Peter Pirolli, Rajan Bhattacharyya

Proceedings of the 5th Annual International Conference on Biologically Inspired Cognitive Architectures, 2014

2013

Hippocampal Anatomy Supports the Use of Context in Object Recognition: A Computational Model.

Patrick Greene, Mike Howard, Rajan Bhattacharyya, Jean-Marc Fellous

Comput. Intell. Neurosci., 2013

A computational model of perirhinal cortex: Gating and repair of input to the hippocampus.

Adam W. Lester, Michael D. Howard, Jean-Marc Fellous, Rajan Bhattacharyya

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Top-Down Executive Control Drives Reticular-Thalamic Inhibition and Relays Cortical Information in a Large-Scale Neurocognitive Model.

Matthew E. Phillips, Michael C. Avery, Jeffrey L. Krichmar, Rajan Bhattacharyya

Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013

Using a distracted driver's behavior to inform the timing of alerts in a semi-autonomous car.

Rashmi Sundareswara, Mike Daily, Mike Howard, Howard Neely, Rajan Bhattacharyya, Craig Lee

Proceedings of the IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, 2013

Using tactile displays to maintain situational awareness during driving.

Mike Howard, Rashmi Sundareswara, Mike Daily, Rajan Bhattacharyya, Sam Kaplan, T. Nathan Mundhenk, Craig Lee, Howard Neely

Proceedings of the IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, 2013

2012

A bio-inspired kinematic controller for obstacle avoidance during reaching tasks with real robots.

Narayan Srinivasa, Rajan Bhattacharyya, Rashmi Sundareswara, Craig Lee, Stephen Grossberg

Neural Networks, 2012

Model of the interactions between neuromodulators and prefrontal cortex during a resource allocation task.

Suhas E. Chelian, Nicolas Oros, Andrew Zaldivar, Jeffrey L. Krichmar, Rajan Bhattacharyya

Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

2011

Adaptive Recall in Hippocampus.

Michael D. Howard, Rajan Bhattacharyya, Randall C. O'Reilly, Giorgio A. Ascoli, Jean-Marc Fellous

Proceedings of the Biologically Inspired Cognitive Architectures 2011, 2011

Learning categories with invariances in a neural network model of prefrontal cortex.

Suhas E. Chelian, Rajan Bhattacharyya, Randall C. O'Reilly

Proceedings of the Biologically Inspired Cognitive Architectures 2011, 2011

2008

Bio-Inspired Planning and Reaching in Complex Environments.

Rajan Bhattacharyya, Narayan Srinivasa, Stephen Grossberg

Proceedings of the Biologically Inspired Cognitive Architectures, 2008