73 citations · 172 across the 5 of their papers we have counts for
6 papers
A Two-Stage Efficient 3-D CNN Framework for EEG Based Emotion Recognition
Ye Qiao, Mohammed Alnemari, Nader Bagherzadeh
This paper proposes a novel two-stage framework for emotion recognition using EEG data that outperforms state-of-the-art models while keeping the model size small and computational…
PLAM: a Posit Logarithm-Approximate Multiplier
Raul Murillo, Alberto A. Del Barrio, Guillermo Botella +3
The Posit Number System was introduced in 2017 as a replacement for floating-point numbers. Since then, the community has explored its application in Neural Network related tasks a…
The Effects of Approximate Multiplication on Convolutional Neural Networks
Min Soo Kim, Alberto A. Del Barrio, HyunJin Kim +1
This paper analyzes the effects of approximate multiplication when performing inferences on deep convolutional neural networks (CNNs). The approximate multiplication can reduce the…
Reliable and Energy Efficient MLC STT-RAM Buffer for CNN Accelerators
Masoomeh Jasemi, Shaahin Hessabi, Nader Bagherzadeh
We propose a lightweight scheme where the formation of a data block is changed in such a way that it can tolerate soft errors significantly better than the baseline. The key insigh…
Immunity of nanoscale magnetic tunnel junctions to ionizing radiation
Eric Arturo Montoya, Jen-Ru Chen, Randy Ngelale +9
Spin transfer torque magnetic random access memory (STT-MRAM) is a promising candidate for next generation memory as it is non-volatile, fast, and has unlimited endurance. Another…
Partition Pruning: Parallelization-Aware Pruning for Deep Neural Networks
Sina Shahhosseini, Ahmad Albaqsami, Masoomeh Jasemi +1
Parameters of recent neural networks require a huge amount of memory. These parameters are used by neural networks to perform machine learning tasks when processing inputs. To spee…