most citedGSR Analysis for Stress: Development and Validation of an Open Source Tool for Noisy Naturalistic GSR Data

40 citations · 42 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NE20201 cited

Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial Decomposition

Adarsha Balaji, Shihao Song, Anup Das +5

With growing model complexity, mapping Spiking Neural Network (SNN)-based applications to tile-based neuromorphic hardware is becoming increasingly challenging. This is because the…

cs.AR2020

Intelligent Management of Mobile Systems through Computational Self-Awareness

Bryan Donyanavard, Amir M. Rahmani, Axel Jantsch +2

Runtime resource management for many-core systems is increasingly complex. The complexity can be due to diverse workload characteristics with conflicting demands, or limited shared…

stat.AP20201 cited

The Causality Inference of Public Interest in Restaurants and Bars on COVID-19 Daily Cases in the US: A Google Trends Analysis

Milad Asgari Mehrabadi, Nikil Dutt, Amir M. Rahmani

The COVID-19 coronavirus pandemic has affected virtually every region of the globe. At the time of conducting this study, the number of daily cases in the United States is more tha…

cs.HC202040 cited

GSR Analysis for Stress: Development and Validation of an Open Source Tool for Noisy Naturalistic GSR Data

Seyed Amir Hossein Aqajari, Emad Kasaeyan Naeini, Milad Asgari Mehrabadi +3

The stress detection problem is receiving great attention in related research communities. This is due to its essential part in behavioral studies for many serious health problems…

cs.ET2019

A Framework to Explore Workload-Specific Performance and Lifetime Trade-offs in Neuromorphic Computing

Adarsha Balaji, Shihao Song, Anup Das +4

Neuromorphic hardware with non-volatile memory (NVM) can implement machine learning workload in an energy-efficient manner. Unfortunately, certain NVMs such as phase change memory…