Embracing approximate computing for energy-efficient motion estimation in high efficiency video coding. - Walaa El-Harouni; Semeen Rehman; Bharath Srinivas Prabakaran; Akash Kumar 001; Rehan Hafiz; Muhammad Shafique 001 (DATE, 2017)

Area-optimized low-latency approximate multipliers for FPGA-based hardware accelerators. - Salim Ullah; Semeen Rehman; Bharath Srinivas Prabakaran; Florian Kriebel; Muhammad Abdullah Hanif; Muhammad Shafique 001; Akash Kumar 001 (DAC, 2018)

DeMAS: An efficient design methodology for building approximate adders for FPGA-based systems. - Bharath Srinivas Prabakaran; Semeen Rehman; Muhammad Abdullah Hanif; Salim Ullah; Ghazal Mazaheri; Akash Kumar 001; Muhammad Shafique 001 (DATE, 2018)

Hardware and Software Techniques for Heterogeneous Fault-Tolerance. - Semeen Rehman; Florian Kriebel; Bharath Srinivas Prabakaran; Faiq Khalid; Muhammad Shafique 001 (IOLTS, 2018)

Heterogeneous Reliability Modes with Efficient State Compression for Out-of-Order Superscalar Processors. - Bharath Srinivas Prabakaran; Mihika Dave; Semeen Rehman; Florian Kriebel; Muhammad Shafique 001 (CoRR, 2018)

Approximate Multi-Accelerator Tiled Architecture for Energy-Efficient Motion Estimation. - Bharath Srinivas Prabakaran; Walaa El-Harouni; Semeen Rehman; Muhammad Shafique 001 (Approximate Circuits, 2019)

Heterogeneous Approximate Multipliers: Architectures and Design Methodologies. - Semeen Rehman; Bharath Srinivas Prabakaran; Walaa El-Harouni; Muhammad Shafique 001; Jörg Henkel (Approximate Circuits, 2019)

XBioSiP: A Methodology for Approximate Bio-Signal Processing at the Edge. - Bharath Srinivas Prabakaran; Semeen Rehman; Muhammad Shafique 001 (DAC, 2019)

Architectural-Space Exploration of Heterogeneous Reliability and Checkpointing Modes for Out-of-Order Superscalar Processors. - Bharath Srinivas Prabakaran; Mihika Dave; Florian Kriebel; Semeen Rehman; Muhammad Shafique 001 (IEEE Access, 2019)

EMAP: A Cloud-Edge Hybrid Framework for EEG Monitoring and Cross-Correlation Based Real-time Anomaly Prediction. - Bharath Srinivas Prabakaran; Alberto García Jiménez; Germán Moltó Martínez; Muhammad Shafique 001 (DAC, 2020)

ApproxFPGAs: Embracing ASIC-Based Approximate Arithmetic Components for FPGA-Based Systems. - Bharath Srinivas Prabakaran; Vojtech Mrazek; Zdenek Vasícek; Lukás Sekanina; Muhammad Shafique 001 (DAC, 2020)

BioNetExplorer: Architecture-Space Exploration of Bio-Signal Processing Deep Neural Networks for Wearables. - Bharath Srinivas Prabakaran; Asima Akhtar; Semeen Rehman; Osman Hasan; Muhammad Shafique 001 (CoRR, 2021)

BioNetExplorer: Architecture-Space Exploration of Biosignal Processing Deep Neural Networks for Wearables. - Bharath Srinivas Prabakaran; Asima Akhtar; Semeen Rehman; Osman Hasan; Muhammad Shafique 001 (IEEE Internet Things J., 2021)

ATLAS: An IoT Architecture and Secure Open-source Networking Stack for Anonymous Localization and Tracking Using Smartphones and Bluetooth Beacons. - Bharath Srinivas Prabakaran; Felix Fasching; Juri Schreib; Andreas Steininger; Muhammad Shafique 001 (CoRR, 2022)

Xel-FPGAs: An End-to-End Automated Exploration Framework for Approximate Accelerators in FPGA-Based Systems. - Bharath Srinivas Prabakaran; Vojtech Mrazek; Zdenek Vasícek; Lukás Sekanina; Muhammad Shafique 001 (ICCAD, 2023)

SILOP: An Automated Framework for Semantic Segmentation Using Image Labels Based on Object Perimeters. - Erik Ostrowski; Bharath Srinivas Prabakaran; Muhammad Shafique 001 (IJCNN, 2023)

ReFit: A Framework for Refinement of Weakly Supervised Semantic Segmentation Using Object Border Fitting for Medical Images. - Bharath Srinivas Prabakaran; Erik Ostrowski; Muhammad Shafique 001 (ISVC (1), 2023)

FPUS23: An Ultrasound Fetus Phantom Dataset With Deep Neural Network Evaluations for Fetus Orientations, Fetal Planes, and Anatomical Features. - Bharath Srinivas Prabakaran; Paul Hamelmann; Erik Ostrowski; Muhammad Shafique 001 (IEEE Access, 2023)

autoXFPGAs: An End-to-End Automated Exploration Framework for Approximate Accelerators in FPGA-Based Systems. - Bharath Srinivas Prabakaran; Vojtech Mrazek; Zdenek Vasícek; Lukás Sekanina; Muhammad Shafique 001 (CoRR, 2023)

BoundaryCAM: A Boundary-based Refinement Framework for Weakly Supervised Semantic Segmentation of Medical Images. - Bharath Srinivas Prabakaran; Erik Ostrowski; Muhammad Shafique 001 (CoRR, 2023)

Image Label based Semantic Segmentation Framework using Object Perimeters. - Erik Ostrowski; Bharath Srinivas Prabakaran; Muhammad Shafique 001 (CoRR, 2023)

Exploring Weakly Supervised Semantic Segmentation Ensembles for Medical Imaging Systems. - Erik Ostrowski; Bharath Srinivas Prabakaran; Muhammad Shafique 001 (CoRR, 2023)

A Novel Weakly Supervised Semantic Segmentation Ensemble Framework for Medical Imaging. - Erik Ostrowski; Bharath Srinivas Prabakaran; Muhammad Shafique 001 (IJCNN, 2024)

UnbiasedNets: a dataset diversification framework for robustness bias alleviation in neural networks. - Mahum Naseer; Bharath Srinivas Prabakaran; Osman Hasan; Muhammad Shafique 001 (Mach. Learn., 2024)