Demo Data from VLDB 2026 / reviewers in the wild / expert
Peter Vanroose
dblp:38/4043
· DBLP profile ↗
6ranked-venue papers
2as first author
0since 2021 · last 2007
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 5 · 2 first-authorArtificial intelligence and machine learning · 1
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
5 papers |
Information theory · 72% Coding theory · 25% Algorithms and data structures · 3% | |
| Network and information security
1 paper |
Cryptographic primitives and cryptanalysis · 100% |
Topics — the 11 heaviest of 12, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information theory › network information theory
relay channel |
0.1 | 2 | 2007 | The Capacity of a Relay Channel, Both With and Without Delay · IEEE Trans. Inf. Theory 2007 Uniquely decodable codes for deterministic relay channels · IEEE Trans. Inf. Theory 1992 |
Information theory
channel capacity |
0.0 | 2 | 2007 | The Capacity of a Relay Channel, Both With and Without Delay · IEEE Trans. Inf. Theory 2007 How an Erdöos-Rényi-type search approach gives an explicit code construction of rate 1 for random access with multiplicity feedback · IEEE Trans. Inf. Theory 1997 |
Coding theory › error-correcting codes
code construction |
0.0 | 3 | 1997 | How an Erdöos-Rényi-type search approach gives an explicit code construction of rate 1 for random access with multiplicity feedback · IEEE Trans. Inf. Theory 1997 Uniquely decodable codes for deterministic relay channels · IEEE Trans. Inf. Theory 1992 Code construction for the noiseless binary switching multiple-access channel · IEEE Trans. Inf. Theory 1988 |
Coding theory › error-correcting codes
uniquely decodable codes |
0.0 | 2 | 1992 | Uniquely decodable codes for deterministic relay channels · IEEE Trans. Inf. Theory 1992 Code construction for the noiseless binary switching multiple-access channel · IEEE Trans. Inf. Theory 1988 |
Cryptographic primitives and cryptanalysis › message authentication codes
cartesian authentication codes |
0.0 | 1 | 1994 | On the construction of cartesian authentication codes over symplectic spaces · IEEE Trans. Inf. Theory 1994 |
Cryptographic primitives and cryptanalysis
message authentication codes |
0.0 | 1 | 1994 | On the construction of cartesian authentication codes over symplectic spaces · IEEE Trans. Inf. Theory 1994 |
Information theory › network information theory › relay channel
deterministic relay channel |
0.0 | 1 | 1992 | Uniquely decodable codes for deterministic relay channels · IEEE Trans. Inf. Theory 1992 |
Information theory › network information theory › multiuser capacity
multiple-access channel capacity |
0.0 | 1 | 1988 | Code construction for the noiseless binary switching multiple-access channel · IEEE Trans. Inf. Theory 1988 |
Information theory
network information theory |
0.0 | 1 | 1988 | Code construction for the noiseless binary switching multiple-access channel · IEEE Trans. Inf. Theory 1988 |
Information theory › channel capacity
zero-error capacity |
0.0 | 2 | 1992 | Uniquely decodable codes for deterministic relay channels · IEEE Trans. Inf. Theory 1992 Code construction for the noiseless binary switching multiple-access channel · IEEE Trans. Inf. Theory 1988 |
Coding theory › error-correcting codes
algebraic coding theory |
0.0 | 1 | 1994 | On the construction of cartesian authentication codes over symplectic spaces · IEEE Trans. Inf. Theory 1994 |
Methods — techniques the papers use, named apart from their topics
capacity upper bound analysis · 0.1symplectic space construction · 0.0probabilistic construction · 0.0derandomization · 0.0finite-state channel analysis · 0.0equivalence classification · 0.0second-order distance · 0.0linear code construction · 0.0convolutional codes · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | The Capacity of a Relay Channel, Both With and Without DelayabstractIn this correspondence, we point out the incorrectness of an upper bound in van der Meulen (Advances in Applied Probability, vol. 3, no. 1, pp. 120-154, 1971) and report the correct relay capacity for one of the examples given there. We also show that, when viewed as a relay-without-delay channel, the capacity of this channel is strictly larger than its classical relay capacity. Edward C. van der Meulen, Peter Vanroose |
IEEE Trans. Inf. Theory | 2 |
| 2004 | Multimodal, Multilingual Resources in the Subtitling Process
Stelios Piperidis, Iason Demiros, Prokopis Prokopidis, Peter Vanroose, Anja Höthker, Walter Daelemans, Elsa Sklavounou, Manos Konstantinou, Yannis Karavidas |
LREC | 4 |
| 1997 | How an Erdöos-Rényi-type search approach gives an explicit code construction of rate 1 for random access with multiplicity feedbackabstractPippenger (1981) showed in a probabilistic way that the capacity of a collision channel with multiplicity feedback is one. In this correspondence, using an Erdos-Renyi type search strategy, we settle a long-standing open problem by giving a constructive proof of this result. Moreover, we prove that two different capacity definitions are equivalent, thereby solving a problem posed by Tsybakov (1985). Miklós Ruszinkó, Peter Vanroose |
IEEE Trans. Inf. Theory | 2 |
| 1994 | On the construction of cartesian authentication codes over symplectic spacesabstractVarious constructions of authentication codes using spaces related to the general linear group have been proposed and analyzed. In the paper the authors describe two new constructions of Cartesian authentication codes using symplectic spaces. This illustrates the feasibility of codes from spaces based on geometries of the other classical groups.> Zhe-xian Wan, Ben J. M. Smeets, Peter Vanroose |
IEEE Trans. Inf. Theory | 3 |
| 1992 | Uniquely decodable codes for deterministic relay channelsabstractThe deterministic relay channel is analyzed and explicit code constructions for all binary and all ternary/binary channels are given. An explicit set of equivalence conditions is used to make a classification of all such relay channels, for which also the capacity is evaluated. The coding problem is then reduced to finding all possible output sequences of a certain finite-state channel determined by the relay coding strategy. The channel states correspond to the possible relay memory contents. For some relay channels capacity is reached by using simple uniquely decodable codes, thus establishing the zero-error capacity of those channels with finite-memory relay strategies. For other relay channels the relay memory must be arbitrarily large to achieve zero-error rates arbitrarily close to capacity. One such code construction is given. It is not known whether there exist relay channels for which the zero-error capacity is strictly smaller than the average-error capacity. The code construction problem for the semideterministic relay channel and for the nonsynchronized relay channel is briefly considered.> Peter Vanroose, Edward C. van der Meulen |
IEEE Trans. Inf. Theory | 1 |
| 1988 | Code construction for the noiseless binary switching multiple-access channelabstractThe noiseless coding problem is considered for a discrete memoryless multiple-access channel that is a counterpart to the well-known binary adder channel. Upper and lower bounds on the number of code words in a uniquely decodable code pair are given, from which the zero-error capacity region of the channel is derived. This region coincides with the classical capacity region of this channel. The proof uses the notion of second-order distance of a code. For several values of n and k, good code pairs of block length n are constructed, with the first code being (n,k)-linear. Some of these are found to be optimal. Some convolutional codes are investigated that yield additional good rate pairs.> Peter Vanroose |
IEEE Trans. Inf. Theory | 1 |