Seyedramin Rasoulinezhad

Prediction of Life-Threatening Heart Arrhythmias Using Obstructive Sleep Apnoea Characteristics

Mohammad Bagher Shamsollahi, Seyedramin Rasoulinezhad, M. Shamsollahi, 2019, 2019 27th Iranian Conference on Electrical Engineering (ICEE).

Applications and Techniques for Fast Machine Learning in Science pdf

Zhiqiang Que, Ricardo Vilalta, Seda Ogrenci Memik, 2021, Frontiers in Big Data.

PIR-DSP: An FPGA DSP Block Architecture for Multi-precision Deep Neural Networks

Lingli Wang, Hao Zhou, Philip H. W. Leong, 2019, 2019 IEEE 27th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM).

NITI: Training Integer Neural Networks Using Integer-Only Arithmetic

Hayden Kwok-Hay So, P. Leong, Maolin Wang, 2020, IEEE Transactions on Parallel and Distributed Systems.

FPGA Architecture Exploration for DNN Acceleration

Philip H. W. Leong, S. Wilton, Seyedramin Rasoulinezhad, 2022, ACM Trans. Reconfigurable Technol. Syst..

Rethinking Embedded Blocks for Machine Learning Applications

Philip H. W. Leong, S. Wilton, Seyedramin Rasoulinezhad, 2022, ACM Trans. Reconfigurable Technol. Syst..

A Block Minifloat Representation for Training Deep Neural Networks

David Boland, Philip H. W. Leong, Julian Faraone, 2021, ICLR.

MLBlocks: FPGA Blocks for Machine Learning Applications

David Boland, Seyedramin Rasoulinezhad, Philip H.W. Leong, 2021, FPGA.

Applications and Techniques for Fast Machine Learning in Science

Eric A. Moreno, Sang Eon Park, Tomas E. Muller Bravo, 2021, Frontiers in Big Data.