Demo Data from EDBT 2026 / reviewers in the wild / expert
Alexander Mozeika
dblp:04/7254
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2015
—ORCID · unresolved
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 |
Computational complexity · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational complexity
boolean function computation |
0.2 | 1 | 2015 | On Reliable Computation by Noisy Random Boolean Formulas · IEEE Trans. Inf. Theory 2015 |
Computational complexity › computational models
noisy computation |
0.2 | 1 | 2015 | On Reliable Computation by Noisy Random Boolean Formulas · IEEE Trans. Inf. Theory 2015 |
Methods — techniques the papers use, named apart from their topics
probabilistic analysis · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | On Reliable Computation by Noisy Random Boolean FormulasabstractWe study noisy computation in randomly generated k-ary Boolean formulas. We establish bounds on the noise level above which the results of computation by random formulas are not reliable. This bound is saturated by formulas constructed from a single majority-like gate. We show that these gates can be used to compute any Boolean function reliably below the noise bound. Alexander Mozeika, David Saad |
IEEE Trans. Inf. Theory | 1 |