Bharath Srinivas Prabakaran

Orcid: 0000-0003-0557-2166

According to our database1, Bharath Srinivas Prabakaran authored at least 24 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
UnbiasedNets: a dataset diversification framework for robustness bias alleviation in neural networks.
Mach. Learn., May, 2024

A Novel Weakly Supervised Semantic Segmentation Ensemble Framework for Medical Imaging.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
Exploring Weakly Supervised Semantic Segmentation Ensembles for Medical Imaging Systems.
CoRR, 2023

Image Label based Semantic Segmentation Framework using Object Perimeters.
CoRR, 2023

BoundaryCAM: A Boundary-based Refinement Framework for Weakly Supervised Semantic Segmentation of Medical Images.
CoRR, 2023

autoXFPGAs: An End-to-End Automated Exploration Framework for Approximate Accelerators in FPGA-Based Systems.
CoRR, 2023

FPUS23: An Ultrasound Fetus Phantom Dataset With Deep Neural Network Evaluations for Fetus Orientations, Fetal Planes, and Anatomical Features.
IEEE Access, 2023

ReFit: A Framework for Refinement of Weakly Supervised Semantic Segmentation Using Object Border Fitting for Medical Images.
Proceedings of the Advances in Visual Computing - 18th International Symposium, 2023

SILOP: An Automated Framework for Semantic Segmentation Using Image Labels Based on Object Perimeters.
Proceedings of the International Joint Conference on Neural Networks, 2023

Xel-FPGAs: An End-to-End Automated Exploration Framework for Approximate Accelerators in FPGA-Based Systems.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

2022
ATLAS: An IoT Architecture and Secure Open-source Networking Stack for Anonymous Localization and Tracking Using Smartphones and Bluetooth Beacons.
CoRR, 2022

2021
BioNetExplorer: Architecture-Space Exploration of Biosignal Processing Deep Neural Networks for Wearables.
IEEE Internet Things J., 2021

BioNetExplorer: Architecture-Space Exploration of Bio-Signal Processing Deep Neural Networks for Wearables.
CoRR, 2021

2020
ApproxFPGAs: Embracing ASIC-Based Approximate Arithmetic Components for FPGA-Based Systems.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

EMAP: A Cloud-Edge Hybrid Framework for EEG Monitoring and Cross-Correlation Based Real-time Anomaly Prediction.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019
Architectural-Space Exploration of Heterogeneous Reliability and Checkpointing Modes for Out-of-Order Superscalar Processors.
IEEE Access, 2019

XBioSiP: A Methodology for Approximate Bio-Signal Processing at the Edge.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

Heterogeneous Approximate Multipliers: Architectures and Design Methodologies.
Proceedings of the Approximate Circuits, Methodologies and CAD., 2019

Approximate Multi-Accelerator Tiled Architecture for Energy-Efficient Motion Estimation.
Proceedings of the Approximate Circuits, Methodologies and CAD., 2019

2018
Heterogeneous Reliability Modes with Efficient State Compression for Out-of-Order Superscalar Processors.
CoRR, 2018

Hardware and Software Techniques for Heterogeneous Fault-Tolerance.
Proceedings of the 24th IEEE International Symposium on On-Line Testing And Robust System Design, 2018

DeMAS: An efficient design methodology for building approximate adders for FPGA-based systems.
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

Area-optimized low-latency approximate multipliers for FPGA-based hardware accelerators.
Proceedings of the 55th Annual Design Automation Conference, 2018

2017
Embracing approximate computing for energy-efficient motion estimation in high efficiency video coding.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017


  Loading...