Demo Data from VLDB 2026 / reviewers in the wild / expert
Maureen A. Walton
dblp:160/9377
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Reinforcement learning · 50% Probabilistic and Bayesian machine learning · 50% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Medical and health informatics · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Probabilistic and Bayesian machine learning › hierarchical modeling
mixed-effects model |
0.8 | 1 | 2024 | ReBandit: Random Effects Based Online RL Algorithm for Reducing Cannabis Use · IJCAI 2024 |
Machine learning › Reinforcement learning › online decision making
online reinforcement learning |
0.8 | 1 | 2024 | ReBandit: Random Effects Based Online RL Algorithm for Reducing Cannabis Use · IJCAI 2024 |
Methods — techniques the papers use, named apart from their topics
random effects model · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | ReBandit: Random Effects Based Online RL Algorithm for Reducing Cannabis Use
Susobhan Ghosh, Yongyi Guo, Pei-Yao Hung, Lara N. Coughlin, Erin E. Bonar, Inbal Nahum-Shani, Maureen A. Walton, Susan A. Murphy |
IJCAI | 7 |