activity
20072023
most citedUnsupervised Heart-rate Estimation in Wearables With Liquid States and A Probabilistic Readout

89 citations · 214 across the 26 of their papers we have counts for

collaborators
Showing 2020Show all

10 papers · 1 filter

cs.HC2020★ 4 cited

Personal Mental Health Navigator: Harnessing the Power of Data, Personal Models, and Health Cybernetics to Promote Psychological Well-being

Amir M. Rahmani, Jocelyn Lai, Salar Jafarlou +8

Traditionally, the regime of mental healthcare has followed an episodic psychotherapy model wherein patients seek care from a provider through a prescribed treatment plan developed…

cs.AR2020★ 1 cited

AXES: Approximation Manager for Emerging Memory Architectures

Biswadip Maity, Bryan Donyanavard, Anmol Surhonne +3

Memory approximation techniques are commonly limited in scope, targeting individual levels of the memory hierarchy. Existing approximation techniques for a full memory hierarchy de…

cs.CY2020

Detection of COVID-19 Using Heart Rate and Blood Pressure: Lessons Learned from Patients with ARDS

Milad Asgari Mehrabadi, Seyed Amir Hossein Aqajari, Iman Azimi +3

The world has been affected by COVID-19 coronavirus. At the time of this study, the number of infected people in the United States is the highest globally (7.9 million infections).…

cs.CV2020★ 1 cited

R-TOD: Real-Time Object Detector with Minimized End-to-End Delay for Autonomous Driving

Wonseok Jang, Hansaem Jeong, Kyungtae Kang +2

For realizing safe autonomous driving, the end-to-end delays of real-time object detection systems should be thoroughly analyzed and minimized. However, despite recent development…

cs.NE2020★ 1 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.CR2020★ 3 cited

Trustworthy AI Inference Systems: An Industry Research View

Rosario Cammarota, Matthias Schunter, Anand Rajan +26

In this work, we provide an industry research view for approaching the design, deployment, and operation of trustworthy Artificial Intelligence (AI) inference systems. Such systems…