Demo Data from SIGIR 2026 / reviewers in the wild / expert
B. H. Bharucha
dblp:134/4373
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1970
—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 · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information theory › signal processing › signal representation
series representation |
0.0 | 1 | 1970 | On the representation of continuous parameter processes by a sequence of random variables · IEEE Trans. Inf. Theory 1970 |
Information theory › probability theory
stochastic processes |
0.0 | 1 | 1970 | On the representation of continuous parameter processes by a sequence of random variables · IEEE Trans. Inf. Theory 1970 |
Methods — techniques the papers use, named apart from their topics
l2 basis expansion · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1970 | On the representation of continuous parameter processes by a sequence of random variablesabstractThis paper examines the question of representing a continuous parameter random process\{ x_t, t \in T \}by a sequence of random variables "without loss of information." The principal result is that such a representation by expansion coefficients relative to a basis\{ \phi_i \}of\mathcal{L}_2(T)is always possible, regardless of the orthogonality of\{ \phi_i \}and of the boundedness of the time intervalT, provided only that the process is continuous in probability and almost every sample path has finite energy. B. H. Bharucha, T. T. Kadota |
IEEE Trans. Inf. Theory | 1 |