Demo Data from VLDB 2026 / reviewers in the wild / expert
Bergen Johnston
dblp:383/7531
· 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 |
Generative modeling · 100% | |
| 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 › Generative modeling
generative adversarial network |
0.8 | 1 | 2024 | A Novel GAN Approach to Augment Limited Tabular Data for Short-Term Substance Use Prediction · IJCAI 2024 |
Machine learning › Generative modeling › synthetic data generation
tabular data augmentation |
0.8 | 1 | 2024 | A Novel GAN Approach to Augment Limited Tabular Data for Short-Term Substance Use Prediction · IJCAI 2024 |
Methods — techniques the papers use, named apart from their topics
generative adversarial network · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | A Novel GAN Approach to Augment Limited Tabular Data for Short-Term Substance Use Prediction
Nguyen Thach, Patrick Habecker, Bergen Johnston, Lillianna Cervantes, Anika Eisenbraun, Alex Mason, Kimberly Tyler, Bilal Khan 0002, Hau Chan |
IJCAI | 3 |