Bharath Srinivas Prabakaran

28 papers A* 4A 3B 2C 1Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	B	`conf`	A Novel Weakly Supervised Semantic Segmentation Ensemble Framework for Medical Imaging. IJCNN Erik Ostrowski, Bharath Srinivas Prabakaran, Muhammad Shafique
2024	J	`jnl`	UnbiasedNets: a dataset diversification framework for robustness bias alleviation in neural networks. Mach. Learn. Mahum Naseer, Bharath Srinivas Prabakaran, Osman Hasan, Muhammad Shafique
2023	J	`jnl`	BoundaryCAM: A Boundary-based Refinement Framework for Weakly Supervised Semantic Segmentation of Medical Images. CoRR Bharath Srinivas Prabakaran, Erik Ostrowski, Muhammad Shafique
2023	J	`jnl`	Exploring Weakly Supervised Semantic Segmentation Ensembles for Medical Imaging Systems. CoRR Erik Ostrowski, Bharath Srinivas Prabakaran, Muhammad Shafique
2023	J	`jnl`	FPUS23: An Ultrasound Fetus Phantom Dataset With Deep Neural Network Evaluations for Fetus Orientations, Fetal Planes, and Anatomical Features. IEEE Access Bharath Srinivas Prabakaran, Paul Hamelmann, Erik Ostrowski, Muhammad Shafique
2023	J	`jnl`	FPUS23: An Ultrasound Fetus Phantom Dataset with Deep Neural Network Evaluations for Fetus Orientations, Fetal Planes, and Anatomical Features. CoRR Bharath Srinivas Prabakaran, Paul Hamelmann, Erik Ostrowski, Muhammad Shafique
2023	J	`jnl`	Image Label based Semantic Segmentation Framework using Object Perimeters. CoRR Erik Ostrowski, Bharath Srinivas Prabakaran, Muhammad Shafique
2023	—	`conf`	ReFit: A Framework for Refinement of Weakly Supervised Semantic Segmentation Using Object Border Fitting for Medical Images. ISVC (1) Bharath Srinivas Prabakaran, Erik Ostrowski, Muhammad Shafique
2023	B	`conf`	SILOP: An Automated Framework for Semantic Segmentation Using Image Labels Based on Object Perimeters. IJCNN Erik Ostrowski, Bharath Srinivas Prabakaran, Muhammad Shafique
2023	J	`jnl`	UnbiasedNets: A Dataset Diversification Framework for Robustness Bias Alleviation in Neural Networks. CoRR Mahum Naseer, Bharath Srinivas Prabakaran, Osman Hasan, Muhammad Shafique
2023	A	`conf`	Xel-FPGAs: An End-to-End Automated Exploration Framework for Approximate Accelerators in FPGA-Based Systems. ICCAD Bharath Srinivas Prabakaran, Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Muhammad Shafique
2023	J	`jnl`	autoXFPGAs: An End-to-End Automated Exploration Framework for Approximate Accelerators in FPGA-Based Systems. CoRR Bharath Srinivas Prabakaran, Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Muhammad Shafique
2022	J	`jnl`	ATLAS: An IoT Architecture and Secure Open-source Networking Stack for Anonymous Localization and Tracking Using Smartphones and Bluetooth Beacons. CoRR Bharath Srinivas Prabakaran, Felix Fasching, Juri Schreib, Andreas Steininger, Muhammad Shafique
2021	J	`jnl`	BioNetExplorer: Architecture-Space Exploration of Bio-Signal Processing Deep Neural Networks for Wearables. CoRR Bharath Srinivas Prabakaran, Asima Akhtar, Semeen Rehman, Osman Hasan, Muhammad Shafique
2021	J	`jnl`	BioNetExplorer: Architecture-Space Exploration of Biosignal Processing Deep Neural Networks for Wearables. IEEE Internet Things J. Bharath Srinivas Prabakaran, Asima Akhtar, Semeen Rehman, Osman Hasan, Muhammad Shafique
2020	A*	`conf`	ApproxFPGAs: Embracing ASIC-Based Approximate Arithmetic Components for FPGA-Based Systems. DAC Bharath Srinivas Prabakaran, Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Muhammad Shafique
2020	J	`jnl`	ApproxFPGAs: Embracing ASIC-Based Approximate Arithmetic Components for FPGA-Based Systems. CoRR Bharath Srinivas Prabakaran, Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Muhammad Shafique
2020	A*	`conf`	EMAP: A Cloud-Edge Hybrid Framework for EEG Monitoring and Cross-Correlation Based Real-time Anomaly Prediction. DAC Bharath Srinivas Prabakaran, Alberto García Jiménez, Germán Moltó Martínez, Muhammad Shafique
2020	J	`jnl`	EMAP: A Cloud-Edge Hybrid Framework for EEG Monitoring and Cross-Correlation Based Real-time Anomaly Prediction. CoRR Bharath Srinivas Prabakaran, Alberto García Jiménez, Germán Moltó Martínez, Muhammad Shafique
2019	—	`ch.`	Approximate Multi-Accelerator Tiled Architecture for Energy-Efficient Motion Estimation. Approximate Circuits Bharath Srinivas Prabakaran, Walaa El-Harouni, Semeen Rehman, Muhammad Shafique
2019	J	`jnl`	Architectural-Space Exploration of Heterogeneous Reliability and Checkpointing Modes for Out-of-Order Superscalar Processors. IEEE Access Bharath Srinivas Prabakaran, Mihika Dave, Florian Kriebel, Semeen Rehman, Muhammad Shafique
2019	—	`ch.`	Heterogeneous Approximate Multipliers: Architectures and Design Methodologies. Approximate Circuits Semeen Rehman, Bharath Srinivas Prabakaran, Walaa El-Harouni, Muhammad Shafique, Jörg Henkel
2019	A*	`conf`	XBioSiP: A Methodology for Approximate Bio-Signal Processing at the Edge. DAC Bharath Srinivas Prabakaran, Semeen Rehman, Muhammad Shafique
2018	A*	`conf`	Area-optimized low-latency approximate multipliers for FPGA-based hardware accelerators. DAC Salim Ullah, Semeen Rehman, Bharath Srinivas Prabakaran, Florian Kriebel, Muhammad Abdullah Hanif, Muhammad Shafique, Akash Kumar
2018	A	`conf`	DeMAS: An efficient design methodology for building approximate adders for FPGA-based systems. DATE Bharath Srinivas Prabakaran, Semeen Rehman, Muhammad Abdullah Hanif, Salim Ullah, Ghazal Mazaheri, Akash Kumar, Muhammad Shafique
2018	C	`conf`	Hardware and Software Techniques for Heterogeneous Fault-Tolerance. IOLTS Semeen Rehman, Florian Kriebel, Bharath Srinivas Prabakaran, Faiq Khalid, Muhammad Shafique
2018	J	`jnl`	Heterogeneous Reliability Modes with Efficient State Compression for Out-of-Order Superscalar Processors. CoRR Bharath Srinivas Prabakaran, Mihika Dave, Semeen Rehman, Florian Kriebel, Muhammad Shafique
2017	A	`conf`	Embracing approximate computing for energy-efficient motion estimation in high efficiency video coding. DATE Walaa El-Harouni, Semeen Rehman, Bharath Srinivas Prabakaran, Akash Kumar, Rehan Hafiz, Muhammad Shafique