Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Jan Zeman

dblp:54/3321 · DBLP profile ↗
← Back
3ranked-venue papers
1as first author
1since 2021 · last 2026
0000-0003-2503-8120ORCID · conflict

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

Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous computing · 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.

Computer graphics and multimedia
1 paper
Geometric modeling and processing · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Geometric modeling and processing › shape modeling
microstructure modeling
0.112020
Level-set Based Design of Wang Tiles for Modelling Complex Microstructures · Comput. Aided Des. 2020

Methods — techniques the papers use, named apart from their topics

level set method · 0.4
YearPublicationVenuePosition
2026 Domain adaptation of stable diffusion for ultrasound inpainting: a synthetic data approach for enhanced thyroid nodule segmentation
Antonin Prochazka, Jan Zeman
J. Biomed. Informatics2
2020 Level-set Based Design of Wang Tiles for Modelling Complex Microstructures
Martin Doskár, Jan Zeman, Daniel Rypl, Jan Novák
Comput. Aided Des.2
2010 Estimating of Bellman function via suboptimal strategies
abstract
The paper concerns approximate dynamic decision making. It deals with solving Bellman equation to obtain the Bellman function via so-called suboptimal strategies. The sub-optimal strategies are strategies reflecting the revision of the realized past decisions. The revision is conditioned on availability of future knowledge. Suboptimal strategies help to transform the estimation of Bellman function to solving system of algebraic equations, when parametrized form of Bellman function is used. The presented approach is applied to futures trading task.
Jan Zeman
SMC1