Demo Data from VLDB 2026 / reviewers in the wild / expert
Tilak Raj Singh
dblp:151/4919
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0002-1805-8214ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 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 |
Representation and self-supervised learning · 50% Deep learning architectures and training · 50% | |
| Theoretical computer science
1 paper |
Mathematical optimization · 100% |
Topics — the 2 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Deep learning architectures and training › neural network training
neuroevolution |
0.4 | 1 | 2019 | Learning concise representations for regression by evolving networks of trees · ICLR (Poster) 2019 |
Mathematical optimization › statistical estimation
regression |
0.1 | 1 | 2019 | Learning concise representations for regression by evolving networks of trees · ICLR (Poster) 2019 |
Methods — techniques the papers use, named apart from their topics
tree networks · 0.8evolutionary algorithm · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | ML-based vehicle downtime reduction: A case of air compressor failure detection
Chakradhara Panda, Tilak Raj Singh |
Eng. Appl. Artif. Intell. | 2 |
| 2019 | Learning concise representations for regression by evolving networks of trees
William G. La Cava, Tilak Raj Singh, James Taggart, Srinivas Suri, Jason H. Moore |
ICLR (Poster) | 2 |