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Bharath Srinivas Prabakaran
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2020 – today
- 2024
- [j4]Mahum Naseer, Bharath Srinivas Prabakaran, Osman Hasan, Muhammad Shafique:
UnbiasedNets: a dataset diversification framework for robustness bias alleviation in neural networks. Mach. Learn. 113(5): 2499-2526 (2024) - [c11]Erik Ostrowski, Bharath Srinivas Prabakaran, Muhammad Shafique:
A Novel Weakly Supervised Semantic Segmentation Ensemble Framework for Medical Imaging. IJCNN 2024: 1-10 - 2023
- [j3]Bharath Srinivas Prabakaran, Paul Hamelmann, Erik Ostrowski, Muhammad Shafique:
FPUS23: An Ultrasound Fetus Phantom Dataset With Deep Neural Network Evaluations for Fetus Orientations, Fetal Planes, and Anatomical Features. IEEE Access 11: 58308-58317 (2023) - [c10]Bharath Srinivas Prabakaran, Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Muhammad Shafique:
Xel-FPGAs: An End-to-End Automated Exploration Framework for Approximate Accelerators in FPGA-Based Systems. ICCAD 2023: 1-9 - [c9]Erik Ostrowski, Bharath Srinivas Prabakaran, Muhammad Shafique:
SILOP: An Automated Framework for Semantic Segmentation Using Image Labels Based on Object Perimeters. IJCNN 2023: 1-9 - [c8]Bharath Srinivas Prabakaran, Erik Ostrowski, Muhammad Shafique:
ReFit: A Framework for Refinement of Weakly Supervised Semantic Segmentation Using Object Border Fitting for Medical Images. ISVC (1) 2023: 44-55 - [i11]Mahum Naseer, Bharath Srinivas Prabakaran, Osman Hasan, Muhammad Shafique:
UnbiasedNets: A Dataset Diversification Framework for Robustness Bias Alleviation in Neural Networks. CoRR abs/2302.12538 (2023) - [i10]Bharath Srinivas Prabakaran, Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Muhammad Shafique:
autoXFPGAs: An End-to-End Automated Exploration Framework for Approximate Accelerators in FPGA-Based Systems. CoRR abs/2303.04734 (2023) - [i9]Bharath Srinivas Prabakaran, Paul Hamelmann, Erik Ostrowski, Muhammad Shafique:
FPUS23: An Ultrasound Fetus Phantom Dataset with Deep Neural Network Evaluations for Fetus Orientations, Fetal Planes, and Anatomical Features. CoRR abs/2303.07852 (2023) - [i8]Bharath Srinivas Prabakaran, Erik Ostrowski, Muhammad Shafique:
BoundaryCAM: A Boundary-based Refinement Framework for Weakly Supervised Semantic Segmentation of Medical Images. CoRR abs/2303.07853 (2023) - [i7]Erik Ostrowski, Bharath Srinivas Prabakaran, Muhammad Shafique:
Image Label based Semantic Segmentation Framework using Object Perimeters. CoRR abs/2303.07892 (2023) - [i6]Erik Ostrowski, Bharath Srinivas Prabakaran, Muhammad Shafique:
Exploring Weakly Supervised Semantic Segmentation Ensembles for Medical Imaging Systems. CoRR abs/2303.07896 (2023) - 2022
- [i5]Bharath Srinivas Prabakaran, Felix Fasching, Juri Schreib, Andreas Steininger, Muhammad Shafique:
ATLAS: An IoT Architecture and Secure Open-source Networking Stack for Anonymous Localization and Tracking Using Smartphones and Bluetooth Beacons. CoRR abs/2212.10289 (2022) - 2021
- [j2]Bharath Srinivas Prabakaran, Asima Akhtar, Semeen Rehman, Osman Hasan, Muhammad Shafique:
BioNetExplorer: Architecture-Space Exploration of Biosignal Processing Deep Neural Networks for Wearables. IEEE Internet Things J. 8(17): 13251-13265 (2021) - [i4]Bharath Srinivas Prabakaran, Asima Akhtar, Semeen Rehman, Osman Hasan, Muhammad Shafique:
BioNetExplorer: Architecture-Space Exploration of Bio-Signal Processing Deep Neural Networks for Wearables. CoRR abs/2109.02909 (2021) - 2020
- [c7]Bharath Srinivas Prabakaran, Alberto García Jiménez, Germán Moltó Martínez, Muhammad Shafique:
EMAP: A Cloud-Edge Hybrid Framework for EEG Monitoring and Cross-Correlation Based Real-time Anomaly Prediction. DAC 2020: 1-6 - [c6]Bharath Srinivas Prabakaran, Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Muhammad Shafique:
ApproxFPGAs: Embracing ASIC-Based Approximate Arithmetic Components for FPGA-Based Systems. DAC 2020: 1-6 - [i3]Bharath Srinivas Prabakaran, Alberto García Jiménez, Germán Moltó Martínez, Muhammad Shafique:
EMAP: A Cloud-Edge Hybrid Framework for EEG Monitoring and Cross-Correlation Based Real-time Anomaly Prediction. CoRR abs/2004.10491 (2020) - [i2]Bharath Srinivas Prabakaran, Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Muhammad Shafique:
ApproxFPGAs: Embracing ASIC-Based Approximate Arithmetic Components for FPGA-Based Systems. CoRR abs/2004.10502 (2020)
2010 – 2019
- 2019
- [j1]Bharath Srinivas Prabakaran, Mihika Dave, Florian Kriebel, Semeen Rehman, Muhammad Shafique:
Architectural-Space Exploration of Heterogeneous Reliability and Checkpointing Modes for Out-of-Order Superscalar Processors. IEEE Access 7: 145324-145339 (2019) - [c5]Bharath Srinivas Prabakaran, Semeen Rehman, Muhammad Shafique:
XBioSiP: A Methodology for Approximate Bio-Signal Processing at the Edge. DAC 2019: 184 - [p2]Semeen Rehman, Bharath Srinivas Prabakaran, Walaa El-Harouni, Muhammad Shafique, Jörg Henkel:
Heterogeneous Approximate Multipliers: Architectures and Design Methodologies. Approximate Circuits 2019: 45-66 - [p1]Bharath Srinivas Prabakaran, Walaa El-Harouni, Semeen Rehman, Muhammad Shafique:
Approximate Multi-Accelerator Tiled Architecture for Energy-Efficient Motion Estimation. Approximate Circuits 2019: 249-268 - 2018
- [c4]Salim Ullah, Semeen Rehman, Bharath Srinivas Prabakaran, Florian Kriebel, Muhammad Abdullah Hanif, Muhammad Shafique, Akash Kumar:
Area-optimized low-latency approximate multipliers for FPGA-based hardware accelerators. DAC 2018: 159:1-159:6 - [c3]Bharath Srinivas Prabakaran, Semeen Rehman, Muhammad Abdullah Hanif, Salim Ullah, Ghazal Mazaheri, Akash Kumar, Muhammad Shafique:
DeMAS: An efficient design methodology for building approximate adders for FPGA-based systems. DATE 2018: 917-920 - [c2]Semeen Rehman, Florian Kriebel, Bharath Srinivas Prabakaran, Faiq Khalid, Muhammad Shafique:
Hardware and Software Techniques for Heterogeneous Fault-Tolerance. IOLTS 2018: 115-118 - [i1]Bharath Srinivas Prabakaran, Mihika Dave, Semeen Rehman, Florian Kriebel, Muhammad Shafique:
Heterogeneous Reliability Modes with Efficient State Compression for Out-of-Order Superscalar Processors. CoRR abs/1811.07612 (2018) - 2017
- [c1]Walaa El-Harouni, Semeen Rehman, Bharath Srinivas Prabakaran, Akash Kumar, Rehan Hafiz, Muhammad Shafique:
Embracing approximate computing for energy-efficient motion estimation in high efficiency video coding. DATE 2017: 1384-1389
Coauthor Index
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last updated on 2024-09-21 02:37 CEST by the dblp team
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