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Marissa Radensky
ORCID
Publication Activity (10 Years)
Years Active: 2018-2023
Publications (10 Years): 10
Top Topics
Recommender Systems
Data Science
Epistemic States
User Profiling
Top Venues
CoRR
CHI
VL/HCC
FAccT
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Publications
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Marissa Radensky
,
Julie Anne Séguin
,
Jang Soo Lim
,
Kristen Olson
,
Robert Geiger
"I Think You Might Like This": Exploring Effects of Confidence Signal Patterns on Trust in and Reliance on Conversational Recommender Systems.
FAccT
(2023)
Marissa Radensky
,
Doug Downey
,
Kyle Lo
,
Zoran Popovic
,
Daniel S. Weld
Exploring the Role of Local and Global Explanations in Recommender Systems.
CHI Extended Abstracts
(2022)
Jason Portenoy
,
Marissa Radensky
,
Jevin D. West
,
Eric Horvitz
,
Daniel S. Weld
,
Tom Hope
Bursting Scientific Filter Bubbles: Boosting Innovation via Novel Author Discovery.
CHI
(2022)
Marissa Radensky
,
Dustin Burson
,
Rajya Bhaiya
,
Daniel S. Weld
Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcare.
CoRR
(2022)
Jason Portenoy
,
Marissa Radensky
,
Jevin West
,
Eric Horvitz
,
Daniel S. Weld
,
Tom Hope
Bridger: Toward Bursting Scientific Filter Bubbles and Boosting Innovation via Novel Author Discovery.
CoRR
(2021)
Marissa Radensky
,
Doug Downey
,
Kyle Lo
,
Zoran Popovic
,
Daniel S. Weld
Exploring The Role of Local and Global Explanations in Recommender Systems.
CoRR
(2021)
Toby Jia-Jun Li
,
Marissa Radensky
,
Justin Jia
,
Kirielle Singarajah
,
Tom M. Mitchell
,
Brad A. Myers
PUMICE: A Multi-Modal Agent that Learns Concepts and Conditionals from Natural Language and Demonstrations.
CoRR
(2019)
Toby Jia-Jun Li
,
Marissa Radensky
,
Justin Jia
,
Kirielle Singarajah
,
Tom M. Mitchell
,
Brad A. Myers
PUMICE: A Multi-Modal Agent that Learns Concepts and Conditionals from Natural Language and Demonstrations.
UIST
(2019)
Mary Beth Kery
,
Marissa Radensky
,
Mahima Arya
,
Bonnie E. John
,
Brad A. Myers
The Story in the Notebook: Exploratory Data Science using a Literate Programming Tool.
CHI
(2018)
Marissa Radensky
,
Toby Jia-Jun Li
,
Brad A. Myers
How End Users Express Conditionals in Programming by Demonstration for Mobile Apps.
VL/HCC
(2018)