activity
20152022
most citedCounterfactual Explanations for Machine Learning on Multivariate Time Series Data

80 citations · 85 across the 5 of their papers we have counts for

collaborators

5 papers

cs.ET2022

Temperature-Aware Monolithic 3D DNN Accelerators for Biomedical Applications

Prachi Shukla, Vasilis F. Pavlidis, Emre Salman +1

In this paper, we focus on temperature-aware Monolithic 3D (Mono3D) deep neural network (DNN) inference accelerators for biomedical applications. We develop an optimizer that tunes…

cs.AR2021

Architecting Optically-Controlled Phase Change Memory

Aditya Narayan, Yvain Thonnart, Pascal Vivet +2

Phase Change Memory (PCM) is an attractive candidate for main memory as it offers non-volatility and zero leakage power, while providing higher cell densities, longer data retentio…

cs.SE2020★ 3 cited

ConfEx: A Framework for Automating Text-based Software Configuration Analysis in the Cloud

Ozan Tuncer, Anthony Byrne, Nilton Bila +3

Modern cloud services have complex architectures, often comprising many software components, and depend on hundreds of configurations parameters to function correctly, securely, an…

cs.LG2020★ 80 cited

Counterfactual Explanations for Machine Learning on Multivariate Time Series Data

Emre Ates, Burak Aksar, Vitus J. Leung +1

Applying machine learning (ML) on multivariate time series data has growing popularity in many application domains, including in computer system management. For example, recent hig…

eess.SY2015★ 2 cited

Optimizing Energy Storage Participation in Emerging Power Markets

Hao Chen, Zhenhua Liu, Ayse K. Coskun +1

The growing amount of intermittent renewables in power generation creates challenges for real-time matching of supply and demand in the power grid. Emerging ancillary power markets…