Demo Data from VLDB 2026 / reviewers in the wild / expert
Gábor Molnár-Sáska
dblp:64/3444
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2010
—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% Algorithms and data structures · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information theory › probability theory › stochastic processes
gaussian processes |
0.1 | 1 | 2010 | Intermittent estimation for Gaussian processes · IEEE Trans. Inf. Theory 2010 |
Information theory › probability theory
stochastic processes |
0.1 | 1 | 2010 | Intermittent estimation for Gaussian processes · IEEE Trans. Inf. Theory 2010 |
Algorithms and data structures
stopping time |
0.0 | 1 | 2010 | Intermittent estimation for Gaussian processes · IEEE Trans. Inf. Theory 2010 |
Methods — techniques the papers use, named apart from their topics
pointwise consistent estimation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | Intermittent estimation for Gaussian processesabstractLet {Xn}n=0¿be a stationary real-valued Gaussian time series. We estimate the conditional expectation E(Xn+1|X0, ...,Xn) from a growing number of observations X0,..., Xnin a pointwise consistent way along a sequence of stopping times. Gábor Molnár-Sáska, Gusztáv Morvai |
IEEE Trans. Inf. Theory | 1 |