Marissa Radensky

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 12

Top Topics

Recommender Systems

Top Venues

Creativity & Cognition

Publications

Marissa Radensky, Daniel S. Weld, Joseph Chee Chang, Pao Siangliulue, Jonathan Bragg
Let's Get to the Point: LLM-Supported Planning, Drafting, and Revising of Research-Paper Blog Posts. CoRR (2024)
Marissa Radensky
Mixed-Initiative Methods for Co-Creation in Scientific Research. Creativity & Cognition (2024)
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)