Demo Data from EDBT 2026 / reviewers in the wild / expert
Jagannathan Gomatam
dblp:51/5190
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 1996
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2
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
2 papers |
Optimization for machine learning · 80% Probabilistic and Bayesian machine learning · 20% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Optimization for machine learning
evolutionary computation |
0.0 | 2 | 1996 | Stochastic Modelling of Genetic Algorithms · Artif. Intell. 1996 Similarities and Distinctions in Sampling Strategies for Genetic Algorithms · Artif. Intell. 1996 |
Machine learning › Optimization for machine learning › evolutionary computation
genetic algorithms |
0.0 | 2 | 1996 | Stochastic Modelling of Genetic Algorithms · Artif. Intell. 1996 Similarities and Distinctions in Sampling Strategies for Genetic Algorithms · Artif. Intell. 1996 |
Machine learning › Probabilistic and Bayesian machine learning
sampling |
0.0 | 1 | 1996 | Similarities and Distinctions in Sampling Strategies for Genetic Algorithms · Artif. Intell. 1996 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1996 | Similarities and Distinctions in Sampling Strategies for Genetic Algorithms
David Reynolds, Jagannathan Gomatam |
Artif. Intell. | 2 |
| 1996 | Stochastic Modelling of Genetic Algorithms
David Reynolds, Jagannathan Gomatam |
Artif. Intell. | 2 |