activity
20162019
most citedUnremarkable AI: Fitting Intelligent Decision Support into Critical, Clinical Decision-Making Processes

243 citations · 296 across the 11 of their papers we have counts for

collaborators

11 papers

cs.HC2019★ 17 cited

Homo Cyberneticus: The Era of Human-AI Integration

Jun Rekimoto

This article is submitted and accepted as ACM UIST 2019 Visions. UIST Visions is a venue for forward thinking ideas to inspire the community. The goal is not to report research but…

cs.HC2019★ 1 cited

Two Case Studies of Experience Prototyping Machine Learning Systems in the Wild

Qian Yang

Throughout the course of my Ph.D., I have been designing the user experience (UX) of various machine learning (ML) systems. In this workshop, I share two projects as case studies i…

cs.HC2019★ 243 cited

Unremarkable AI: Fitting Intelligent Decision Support into Critical, Clinical Decision-Making Processes

Qian Yang, Aaron Steinfeld, John Zimmerman

Clinical decision support tools (DST) promise improved healthcare outcomes by offering data-driven insights. While effective in lab settings, almost all DSTs have failed in practic…

cs.RO2018★ 5 cited

Do You Want Your Autonomous Car To Drive Like You?

Chandrayee Basu, Qian Yang, David Hungerman +2

With progress in enabling autonomous cars to drive safely on the road, it is time to start asking how they should be driving. A common answer is that they should be adopting their…

cs.SC2017

Fast multiplication for skew polynomials

Xavier Caruso, Jérémy Le Borgne

We describe an algorithm for fast multiplication of skew polynomials. It is based on fast modular multiplication of such skew polynomials, for which we give an algorithm relying on…

cs.CR2016★ 5 cited

A First Look at Ad-block Detection: A New Arms Race on the Web

Muhammad Haris Mughees, Zhiyun Qian, Zubair Shafiq +2

The rise of ad-blockers is viewed as an economic threat by online publishers, especially those who primarily rely on ad- vertising to support their services. To address this threat…

cs.LG2016★ 5 cited

M3: Scaling Up Machine Learning via Memory Mapping

Dezhi Fang, Duen Horng Chau

To process data that do not fit in RAM, conventional wisdom would suggest using distributed approaches. However, recent research has demonstrated virtual memory's strong potential…

cs.CV2016★ 5 cited

Early Detection of Combustion Instabilities using Deep Convolutional Selective Autoencoders on Hi-speed Flame Video

Adedotun Akintayo, Kin Gwn Lore, Soumalya Sarkar +1

This paper proposes an end-to-end convolutional selective autoencoder approach for early detection of combustion instabilities using rapidly arriving flame image frames. The instab…

math.NT2016★ 5 cited

Division and Slope Factorization of p-Adic Polynomials

Xavier Caruso, David Roe, Tristan Vaccon

We study two important operations on polynomials defined over complete discrete valuation fields: Euclidean division and factorization. In particular, we design a simple and effici…

cs.CR2016★ 5 cited

GraphPrints: Towards a Graph Analytic Method for Network Anomaly Detection

Christopher R. Harshaw, Robert A. Bridges, Michael D. Iannacone +2

This paper introduces a novel graph-analytic approach for detecting anomalies in network flow data called GraphPrints. Building on foundational network-mining techniques, our metho…

math.CO2016★ 5 cited

The algebra of Kleene stars of the plane and polylogarithms

Ngoc Hoang, Gérard Duchamp, Hoang Ngoc Minh

We extend the definition and study the algebraic properties of the polylogarithm Li(T), where T is rational series over the alphabet X = {x 0, x 1} belonging to suitable subalgebra…