Demo Data from SIGIR 2026 / reviewers in the wild / expert
Novellone Rozario
dblp:16/1166
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1987
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 1 · 1 first-author
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.
| Theoretical computer science
1 paper |
Information theory · 87% Mathematical optimization · 13% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information theory › signal processing › spectral estimation
maximum entropy spectrum |
0.0 | 1 | 1987 | Spectral estimation from nonconsecutive data · IEEE Trans. Inf. Theory 1987 |
Information theory › signal processing
spectral estimation |
0.0 | 1 | 1987 | Spectral estimation from nonconsecutive data · IEEE Trans. Inf. Theory 1987 |
Methods — techniques the papers use, named apart from their topics
steepest ascent · 0.0levinson's algorithm · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1987 | Spectral estimation from nonconsecutive dataabstractA method is presented for determining the maximum entropy spectrumS(\omega)of a process under the constraint that its autocorrelationR(m)is known for everymin a setDof nonconsecutive integers. The method involves a simple steepest ascent technique that is based entirely on Levinson's algorithm. Novellone Rozario, Athanasios Papoulis |
IEEE Trans. Inf. Theory | 1 |