Demo Data from SIGIR 2026 / reviewers in the wild / expert
David Delfieu
dblp:124/4449
· DBLP profile ↗
4ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 2 · 1 since 2021Systems, architecture and hardware · 1Software engineering, systems software and programming languages · 1Applied, interdisciplinary, general and emerging computing · 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
1 paper |
Automata and formal languages · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Automata and formal languages
petri nets |
0.6 | 1 | 2022 | Pomset bisimulation and unfolding for reset Petri nets · Inf. Comput. 2022 |
Automata and formal languages › petri nets
reset petri nets |
0.6 | 1 | 2022 | Pomset bisimulation and unfolding for reset Petri nets · Inf. Comput. 2022 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Pomset bisimulation and unfolding for reset Petri nets
Thomas Chatain, Maurice Comlan, David Delfieu, Loïg Jezequel, Olivier H. Roux |
Inf. Comput. | 3 |
| 2018 | Pomsets and Unfolding of Reset Petri Nets
Thomas Chatain, Maurice Comlan, David Delfieu, Loïg Jezequel, Olivier H. Roux |
LATA | 3 |
| 2017 | Embedding time Petri netsabstractThis paper presents a tool (PN2A) which embeds Time Petri Nets (TPN) to Arduino micro-controller architecture. PN2A imports TPN and generates Arduino sketches, which can be then compiled and uploaded to a micro-controller architecture. Some transitions (resp. places) of the transition set (resp. place set) can be assigned to pins of the micro-controller. Theses two types of transitions generates a new firing semantics combining weak and strong semantics. Embedded, the TPN becomes partially non-autonomous and can be defined as a microcontroller Synchronised Time Petri net (mSTPN). Maurice Comlan, David Delfieu, Médésu Sogbohossou, Antoine Vianou |
CoDIT | 2 |
| 2001 | Discrete time approach of time Petri nets for real-time systems analysisabstractIn order to establish the temporal properties of real-time systems, we consider the timed Petri net (TPN) model. First, we prove that properties like the minimal (or maximal) firing time and the minimal (or maximal) time interval between the firing of two transitions can be established with a discrete analysis of a TPN. Then we propose to express the entire discrete execution sequence of the TPN by an automaton which considers the discrete passing of time as the occurrence of a dedicated event. The advantage is that this automaton can be efficiently analysed by using binary decision diagrams (BDDs). We have implemented every step of this approach. Olivier H. Roux, David Delfieu, Pierre Molinaro |
ETFA (2) | 2 |