Ashis Gopal Banerjee
Orcid: 0000-0001-5898-7563
According to our database1,
Ashis Gopal Banerjee
authored at least 48 papers
between 2006 and 2025.
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Bibliography
2025
A distance correlation-based approach to characterize the effectiveness of recurrent neural networks for time series forecasting.
Neurocomputing, 2025
2024
Neural Network Layer Algebra: A Framework to Measure Capacity and Compression in Deep Learning.
IEEE Trans. Neural Networks Learn. Syst., August, 2024
IEEE Trans. Robotics, 2024
THOR2: Leveraging Topological Soft Clustering of Color Space for Human-Inspired Object Recognition in Unseen Environments.
CoRR, 2024
Toward Automated Formation of Composite Micro-Structures Using Holographic Optical Tweezers.
CoRR, 2024
Data-Driven Ergonomic Risk Assessment of Complex Hand-intensive Manufacturing Processes.
CoRR, 2024
Sparse Color-Code Net: Real-Time RGB-Based 6D Object Pose Estimation on Edge Devices.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024
2023
Human-assisted robotic detection of foreign object debris inside confined spaces of marine vessels using probabilistic mapping.
Robotics Auton. Syst., March, 2023
Active Anomaly Detection in Confined Spaces Using Ergodic Traversal of Directed Region Graphs.
CoRR, 2023
Human-Inspired Topological Representations for Visual Object Recognition in Unseen Environments.
CoRR, 2023
F2BEV: Bird's Eye View Generation from Surround-View Fisheye Camera Images for Automated Driving.
IROS, 2023
2022
An Inverse Reinforcement Learning Approach for Customizing Automated Lane Change Systems.
IEEE Trans. Veh. Technol., 2022
IEEE Trans. Intell. Transp. Syst., 2022
Topologically Persistent Features-based Object Recognition in Cluttered Indoor Environments.
CoRR, 2022
Efficient Community Detection in Large-Scale Dynamic Networks Using Topological Data Analysis.
CoRR, 2022
2021
Identifying the Influential Inputs for Network Output Variance Using Sparse Polynomial Chaos Expansion.
IEEE Trans Autom. Sci. Eng., 2021
A scheduling method for multi-robot assembly of aircraft structures with soft task precedence constraints.
Robotics Comput. Integr. Manuf., 2021
Visual Object Recognition in Indoor Environments Using Topologically Persistent Features.
IEEE Robotics Autom. Lett., 2021
A Multi-Task Learning Approach for Human Activity Segmentation and Ergonomics Risk Assessment.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
2020
A Predictive Analytics Tool to Provide Visibility Into Completion of Work Orders in Supply Chain Systems.
J. Comput. Inf. Sci. Eng., 2020
Vision-Based Object Recognition in Indoor Environments Using Topologically Persistent Features.
CoRR, 2020
A Multi-Task Learning Approach for Human Action Detection and Ergonomics Risk Assessment.
CoRR, 2020
2019
An Efficient Scheduling Algorithm for Multi-Robot Task Allocation in Assembling Aircraft Structures.
IEEE Robotics Autom. Lett., 2019
Toward Ergonomic Risk Prediction via Segmentation of Indoor Object Manipulation Actions Using Spatiotemporal Convolutional Networks.
IEEE Robotics Autom. Lett., 2019
Predicting Ergonomic Risks During Indoor Object Manipulation Using Spatiotemporal Convolutional Networks.
CoRR, 2019
2018
Sparse-TDA: Sparse Realization of Topological Data Analysis for Multi-Way Classification.
IEEE Trans. Knowl. Data Eng., 2018
Auction Bidding Methods for Multiagent Consensus Optimization in Supply-Demand Networks.
IEEE Robotics Autom. Lett., 2018
A Hierarchical Bayesian Linear Regression Model with Local Features for Stochastic Dynamics Approximation.
CoRR, 2018
A Step Toward Learning to Control Tens of Optically Actuated Microrobots in Three Dimensions.
Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018
2017
Generalized Grounding Graphs: A Probabilistic Framework for Understanding Grounded Commands.
CoRR, 2017
2015
Proceedings of the Internet of Things. IoT Infrastructures, 2015
Discovering and Validating Breast Cancer Treatment Correlations Using an Associative Memory Model and Statistical Methods.
Proceedings of the 2015 International Conference on Healthcare Informatics, 2015
An Associative Memory Model for Integration of Fragmented Research Data and Identification of Treatment Correlations in Breast Cancer Care.
Proceedings of the AMIA 2015, 2015
2014
Comparing the Performance of Expert User Heuristics and an Integer Linear Program in Aircraft Carrier Deck Operations.
IEEE Trans. Cybern., 2014
IEEE Robotics Autom. Mag., 2014
2013
IEEE Trans Autom. Sci. Eng., 2013
2012
Real-Time Path Planning for Coordinated Transport of Multiple Particles Using Optical Tweezers.
IEEE Trans Autom. Sci. Eng., 2012
2011
AI Mag., 2011
Regression-based LP solver for chance-constrained finite horizon optimal control with nonconvex constraints.
Proceedings of the American Control Conference, 2011
Understanding Natural Language Commands for Robotic Navigation and Mobile Manipulation.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
2010
Developing a Stochastic Dynamic Programming Framework for Optical Tweezer-Based Automated Particle Transport Operations.
IEEE Trans Autom. Sci. Eng., 2010
2009
Generating Simplified Trapping Probability Models From Simulation of Optical Tweezers System.
J. Comput. Inf. Sci. Eng., 2009
A survey of CAD model simplification techniques for physics-based simulation applications.
Comput. Aided Des., 2009
2008
Comput. Aided Des., 2008
2007
Geometrical algorithms for automated design of side actions in injection moulding of complex parts.
Comput. Aided Des., 2007
2006
A Step Towards Automated Design of Side Actions in Injection Molding of Complex Parts.
Proceedings of the Geometric Modeling and Processing, 2006