Demo Data from EDBT 2026 / reviewers in the wild / expert
Cyril Pain-Barre
dblp:58/5501
· DBLP profile ↗
4ranked-venue papers
2as first author
0since 2021 · last 2010
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 4 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 3 · 2 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.
| Artificial intelligence
1 paper |
Speech recognition and synthesis · 50% Planning, search and constraint satisfaction · 50% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Speech recognition and synthesis
search space reduction |
0.1 | 1 | 2007 | Filtering, Decomposition and Search Space Reduction for Optimal Sequential Planning · AAAI 2007 |
Methods — techniques the papers use, named apart from their topics
state-space decomposition · 0.1heuristic search · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | Minimizing the Number of Actions in Parallel PlanningabstractIn the domain of classical planning one distinguishes plans which are optimal in their number of actions, they are referred as sequential plans, from plans which are optimal in their number of levels, they are referred as parallel plans. Searching optimal sequential plans is generally considered harder than searching optimal parallel plans. Buttner and Rintanen have proposed a search procedure which computes plans whose numbers of levels are fixed and whose numbers of actions are minimal. This procedure is notably used to calculate optimal sequential plans, starting from an optimal parallel plan. In this paper we describe a similar approach, which we have developed from the planner FDP. The idea consists in maintaining two structures, the first one representing the parallel plan and the other representing the sequential plan, performing the choices simultaneously in both structures. The techniques which were developed in FDP to compute sequential plans or parallel plans enable failures detection in the two structures. Experimental results show that this approach is in some cases more efficient than FDP when searching optimal sequential plans. Stéphane Grandcolas, Cyril Pain-Barre |
ICTAI (2) | 2 |
| 2007 | Filtering, Decomposition and Search Space Reduction for Optimal Sequential Planning
Stéphane Grandcolas, Cyril Pain-Barre |
AAAI | 2 |
| 1998 | Using Relevance for Selecting Integrity Constraints which Do Not Interfer in Knowledge Base Update
Cyril Pain-Barre |
ECAI | 1 |
| 1996 | DEDAL: a DEDuctive and ALgorithmic planning system
Cyril Pain-Barre |
ECAI | 1 |