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Demo Data from VLDB 2026 / reviewers in the wild / expert

Ivan Fedotov

dblp:294/0833 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021

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
Planning, search and constraint satisfaction · 67% Robot navigation and mapping · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Planning, search and constraint satisfaction
heuristic search		 0.512021
Choosing the Initial State for Online Replanning · AAAI 2021
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › plan execution
online replanning		 0.512021
Choosing the Initial State for Online Replanning · AAAI 2021
Robotics › Robot navigation and mapping › state estimation
state initialization		 0.512021
Choosing the Initial State for Online Replanning · AAAI 2021
YearPublicationVenuePosition
2021 Choosing the Initial State for Online Replanning
Maximilian Fickert, Ivan Gavran, Ivan Fedotov, Jörg Hoffmann 0001, Rupak Majumdar, Wheeler Ruml
 AAAI3