Artikelen met mandaten voor openbare toegang - Daniel WeldMeer informatie
Ergens beschikbaar: 40
Cord-19: The covid-19 open research dataset
LL Wang, K Lo, Y Chandrasekhar, R Reas, J Yang, D Burdick, D Eide, ...
ArXiv, 2020
Mandaten: US National Science Foundation, US Department of Defense, US National …
Does the whole exceed its parts? the effect of ai explanations on complementary team performance
G Bansal, T Wu, J Zhou, R Fok, B Nushi, E Kamar, MT Ribeiro, D Weld
Proceedings of the 2021 CHI conference on human factors in computing systems …, 2021
Mandaten: US National Science Foundation, US Department of Defense
Beyond accuracy: The role of mental models in human-AI team performance
G Bansal, B Nushi, E Kamar, WS Lasecki, DS Weld, E Horvitz
Proceedings of the AAAI conference on human computation and crowdsourcing 7 …, 2019
Mandaten: US Department of Defense
Updates in human-ai teams: Understanding and addressing the performance/compatibility tradeoff
G Bansal, B Nushi, E Kamar, DS Weld, WS Lasecki, E Horvitz
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2429-2437, 2019
Mandaten: US Department of Defense
The challenge of crafting intelligible intelligence
DS Weld, G Bansal
Communications of the ACM 62 (6), 70-79, 2019
Mandaten: US National Science Foundation, US Department of Defense
Is the most accurate ai the best teammate? optimizing ai for teamwork
G Bansal, B Nushi, E Kamar, E Horvitz, DS Weld
Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11405 …, 2021
Mandaten: US National Science Foundation, US Department of Defense
No explainability without accountability: An empirical study of explanations and feedback in interactive ml
A Smith-Renner, R Fan, M Birchfield, T Wu, J Boyd-Graber, DS Weld, ...
Proceedings of the 2020 chi conference on human factors in computing systems …, 2020
Mandaten: US National Science Foundation, US Department of Defense
Errudite: Scalable, reproducible, and testable error analysis
T Wu, MT Ribeiro, J Heer, DS Weld
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
Mandaten: US Department of Defense, Gordon and Betty Moore Foundation
Staqc: A systematically mined question-code dataset from stack overflow
Z Yao, DS Weld, WP Chen, H Sun
Proceedings of the 2018 World Wide Web Conference, 1693-1703, 2018
Mandaten: US National Science Foundation, US Department of Defense
Microtalk: Using argumentation to improve crowdsourcing accuracy
R Drapeau, L Chilton, J Bragg, D Weld
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 4 …, 2016
Mandaten: US National Science Foundation
Augmenting scientific papers with just-in-time, position-sensitive definitions of terms and symbols
A Head, K Lo, D Kang, R Fok, S Skjonsberg, DS Weld, MA Hearst
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems …, 2021
Mandaten: US National Science Foundation, US Department of Defense
Effective crowd annotation for relation extraction
A Liu, S Soderland, J Bragg, CH Lin, X Ling, DS Weld
Proceedings of the 2016 conference of the North American chapter of the …, 2016
Mandaten: US National Science Foundation
Re-active learning: Active learning with relabeling
C Lin, M Mausam, D Weld
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
Mandaten: US National Science Foundation
Cicero: Multi-turn, contextual argumentation for accurate crowdsourcing
Q Chen, J Bragg, LB Chilton, DS Weld
Proceedings of the 2019 chi conference on human factors in computing systems …, 2019
Mandaten: US National Science Foundation, US Department of Defense
In search of verifiability: Explanations rarely enable complementary performance in AI‐advised decision making
R Fok, DS Weld
AI Magazine, 2024
Mandaten: US Department of Defense
Local decision pitfalls in interactive machine learning: An investigation into feature selection in sentiment analysis
T Wu, DS Weld, J Heer
ACM Transactions on Computer-Human Interaction (TOCHI) 26 (4), 1-27, 2019
Mandaten: US Department of Defense, Gordon and Betty Moore Foundation
Optimal testing for crowd workers
J Bragg, Mausam, DS Weld
Proceedings of the 2016 International Conference on Autonomous Agents …, 2016
Mandaten: US National Science Foundation
Sprout: Crowd-powered task design for crowdsourcing
J Bragg, Mausam, DS Weld
Proceedings of the 31st annual acm symposium on user interface software and …, 2018
Mandaten: US National Science Foundation, US Department of Defense
A coverage-based utility model for identifying unknown unknowns
G Bansal, D Weld
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Mandaten: US National Science Foundation, US Department of Defense
Scim: Intelligent skimming support for scientific papers
R Fok, H Kambhamettu, L Soldaini, J Bragg, K Lo, M Hearst, A Head, ...
Proceedings of the 28th International Conference on Intelligent User …, 2023
Mandaten: US National Science Foundation, US Department of Defense
Publicatie- en financieringsgegevens worden automatisch vastgesteld door een computerprogramma