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Bharath Srinivas Prabakaran
Bharath Srinivas Prabakaran
Research Associate, TU Wien
Verified email at tuwien.ac.at - Homepage
Title
Cited by
Cited by
Year
Area-optimized low-latency approximate multipliers for FPGA-based hardware accelerators
S Ullah, S Rehman, BS Prabakaran, F Kriebel, MA Hanif, M Shafique, ...
Proceedings of the 55th annual design automation conference, 1-6, 2018
862018
DeMAS: An efficient design methodology for building approximate adders for FPGA-based systems
BS Prabakaran, S Rehman, MA Hanif, S Ullah, G Mazaheri, A Kumar, ...
2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), 917-920, 2018
632018
Embracing approximate computing for energy-efficient motion estimation in high efficiency video coding
W El-Harouni, S Rehman, BS Prabakaran, A Kumar, R Hafiz, M Shafique
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017 …, 2017
552017
Approxfpgas: Embracing asic-based approximate arithmetic components for fpga-based systems
BS Prabakaran, V Mrazek, Z Vasicek, L Sekanina, M Shafique
2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020
332020
XBioSiP: A methodology for approximate bio-signal processing at the edge
BS Prabakaran, S Rehman, M Shafique
Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019
132019
BioNetExplorer: Architecture-space exploration of biosignal processing deep neural networks for wearables
BS Prabakaran, A Akhtar, S Rehman, O Hasan, M Shafique
IEEE Internet of Things Journal 8 (17), 13251-13265, 2021
112021
Heterogeneous approximate multipliers: Architectures and design methodologies
S Rehman, BS Prabakaran, W El-Harouni, M Shafique, J Henkel
Approximate Circuits: Methodologies and CAD, 45-66, 2019
102019
Hardware and software techniques for heterogeneous fault-tolerance
S Rehman, F Kriebel, BS Prabakaran, F Khalid, M Shafique
2018 IEEE 24th International Symposium on On-Line Testing And Robust System …, 2018
72018
EMAP: A cloud-edge hybrid framework for EEG monitoring and cross-correlation based real-time anomaly prediction
BS Prabakaran, AG Jiménez, GM Martínez, M Shafique
2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020
62020
ApproxFPGAs: Embracing ASIC-based approximate arithmetic components for FPGA-based systems. In 2020 57th ACM/IEEE Design Automation Conference (DAC)
BS Prabakaran, V Mrazek, Z Vasicek, L Sekanina, M Shafique
IEEE, 1ś6, 2020
52020
FPUS23: an ultrasound fetus phantom dataset with deep neural network evaluations for fetus orientations, fetal planes, and anatomical features
BS Prabakaran, P Hamelmann, E Ostrowski, M Shafique
IEEE Access, 2023
32023
UnbiasedNets: a dataset diversification framework for robustness bias alleviation in neural networks
M Naseer, BS Prabakaran, O Hasan, M Shafique
Machine Learning, 1-28, 2023
32023
Fault-Tolerant Computing with Heterogeneous Hardening Modes
F Kriebel, F Khalid, BS Prabakaran, S Rehman, M Shafique
Dependable Embedded Systems, 161-180, 2021
22021
Architectural-space exploration of heterogeneous reliability and checkpointing modes for out-of-order superscalar processors
BS Prabakaran, M Dave, F Kriebel, S Rehman, M Shafique
IEEE Access 7, 145324-145339, 2019
22019
Approximate multi-accelerator tiled architecture for energy-efficient motion estimation
BS Prabakaran, W El-Harouni, S Rehman, M Shafique
Approximate Circuits: Methodologies and CAD, 249-268, 2019
22019
Xel-FPGAs: An End-to-End Automated Exploration Framework for Approximate Accelerators in FPGA-Based Systems
BS Prabakaran, V Mrazek, Z Vasicek, L Sekanina, M Shafique
2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1-9, 2023
12023
ReFit: A Framework for Refinement of Weakly Supervised Semantic Segmentation Using Object Border Fitting for Medical Images
BS Prabakaran, E Ostrowski, M Shafique
International Symposium on Visual Computing, 44-55, 2023
2023
An End-to-End Embedded Neural Architecture Search and Model Compression Framework for Healthcare Applications and Use-Cases
BS Prabakaran, M Shafique
Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing: Use …, 2023
2023
SILOP: An Automated Framework for Semantic Segmentation Using Image Labels Based on Object Perimeters
E Ostrowski, BS Prabakaran, M Shafique
2023 International Joint Conference on Neural Networks (IJCNN), 1-9, 2023
2023
Exploring Weakly Supervised Semantic Segmentation Ensembles for Medical Imaging Systems
E Ostrowski, B Srinivas Prabakaran, M Shafique
arXiv e-prints, arXiv: 2303.07896, 2023
2023
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