Zobrazeno 1 - 10
of 194
pro vyhledávání: '"Walter S Lasecki"'
Publikováno v:
PLoS ONE, Vol 15, Iss 5, p e0232837 (2020)
By adopting and extending lessons from the air traffic control system, we argue that a nationwide remote monitoring system for driverless vehicles could increase safety dramatically, speed these vehicles' deployment, and provide employment. It is bec
Externí odkaz:
https://doaj.org/article/f97975957d054a3683d0957a4aed98b6
Autor:
Srinivas Sunkara, Luis A. Lastras, Jonathan K. Kummerfeld, Hannes Schulz, Walter S. Lasecki, Anoop Cherian, Adam Atkinson, Seokhwan Kim, Chiori Hori, Xiaoxue Zang, Jinchao Li, Sungjin Lee, Minlie Huang, R. Chulaka Gunasekara, Michel Galley, Tim K. Marks, Raghav Gupta, Mahmoud Adada, Baolin Peng, Abhinav Rastogi, Jianfeng Gao
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 29:2529-2540
This paper introduces the Eighth Dialog System Technology Challenge. In line with recent challenges, the eighth edition focuses on applying end-to-end dialog technologies in a pragmatic way for multi-domain task-completion, noetic response selection,
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 4:1-28
Converting widely-available 2D images and videos, captured using an RGB camera, to 3D can help accelerate the training of machine learning systems in spatial reasoning domains ranging from in-home assistive robots to augmented reality to autonomous v
Publikováno v:
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 7:2-11
Decisions made by human-AI teams (e.g., AI-advised humans) are increasingly common in high-stakes domains such as healthcare, criminal justice, and finance. Achieving high team performance depends on more than just the accuracy of the AI system: Sinc
Publikováno v:
ACM Transactions on Interactive Intelligent Systems. 10:1-30
Crowdsourcing is a common means of collecting image segmentation training data for use in a variety of computer vision applications. However, designing accurate crowd-powered image segmentation systems is challenging, because defining object boundari
Publikováno v:
AAAI
AI systems are being deployed to support human decision making in high-stakes domains such as healthcare and criminal justice. In many cases, the human and AI form a team, in which the human makes decisions after reviewing the AI’s inferences. A su
Autor:
Tovi Grossman, Fraser Anderson, Justin Matejka, Walter S. Lasecki, Steve Oney, George Fitzmaurice, Rebecca Krosnick
Publikováno v:
CHI
When users complete tasks on the computer, the knowledge they leverage and their intent is often lost because it is tedious or challenging to capture. This makes it harder to understand why a colleague designed a component a certain way or to remembe
Autor:
Zhefan Ye, Jean Y. Song, Odest Chadwicke Jenkins, Walter S. Lasecki, Jorge Vilchis, Zhiqiang Sui, Stephen Hart
Publikováno v:
IUI
Reliable, efficient shared autonomy requires balancing human operation and robot automation on complex tasks, such as dexterous manipulation. Adding to the difficulty of shared autonomy is a robot’s limited ability to perceive the 6 degree-of-freed
Publikováno v:
VL/HCC
Despite advances in machine learning, there has been little progress towards creating automated systems that can reliably solve general purpose tasks, such as programming or scripting. In this paper, we propose techniques for increasing the reliabili
Autor:
Gabriel Matute, Yan Chen, April Yi Wang, Walter S. Lasecki, Sang Won Lee, Steve Oney, Jaylin Herskovitz
Publikováno v:
VL/HCC
Programming support methods, like discussion fo-rums and office hours, are important in CS education, but difficult to scale. In this paper, we introduce EdCode, a system that allows students to seek remote instructional support within their IDE in a