VLDB 2026 Research / reviewers in the wild / expert
Tamás Tóth
dblp:48/5150
· DBLP profile ↗
7ranked-venue papers
3as first author
1since 2021 · last 2022
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 3 · 2 first-authorArtificial intelligence and machine learning · 2Theory of computation · 2 · 2 first-author · 1 since 2021Computer networks · 1Graphics, computer vision, multimedia, augmented reality and games · 1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Configurable verification of timed automata with discrete variablesabstractAbstract Algorithms and protocols with time dependent behavior are often specified formally using timed automata. For practical real-time systems, besides real-valued clock variables, these specifications typically contain discrete data variables with nontrivial data flow. In this paper, we propose a configurable lazy abstraction framework for the location reachability problem of timed automata that potentially contain discrete variables. Moreover, based on our previous work, we uniformly formalize in our framework several abstraction refinement strategies for both clock and discrete variables that can be freely combined, resulting in many distinct algorithm configurations. Besides the proposed refinement strategies, the configurability of the framework allows the integration of existing efficient lazy abstraction algorithms for clock variables based on $${\textit{LU}}$$ LU -bounds. We demonstrate the applicability of the framework and the proposed refinement strategies by an empirical evaluation on a wide range of timed automata models, including ones that contain discrete variables or diagonal constraints. Tamás Tóth, István Majzik |
Acta Informatica | 1 |
| 2018 | Lazy Reachability Checking for Timed Automata with Discrete Variables
Tamás Tóth, István Majzik |
SPIN | 1 |
| 2017 | Theta: A framework for abstraction refinement-based model checkingabstractIn this paper, we present Theta, a configurable model checking framework. The goal of the framework is to support the design, execution and evaluation of abstraction refinement-based reachability analysis algorithms for models of different formalisms. It enables the definition of input formalisms, abstract domains, model interpreters, and strategies for abstraction and refinement. Currently it contains front-end support for transition systems, control flow automata and timed automata. The built-in abstract domains include predicates, explicit values, zones and their combinations, along with various refinement strategies implemented for each. The configurability of the framework allows the integration of several abstraction and refinement methods, this way supporting the evaluation of their advantages and shortcomings. We demonstrate the applicability of the framework by use cases for the safety checking of PLC, hardware, C programs and timed automata models. Tamás Tóth, Ákos Hajdu, András Vörös 0001, Zoltán Micskei, István Majzik |
FMCAD | 1 |
| 2016 | A Configurable CEGAR Framework with Interpolation-Based Refinements
Ákos Hajdu, Tamás Tóth, András Vörös 0001, István Majzik |
FORTE | 2 |
| 2008 | Approximating non-metrical Minkowski distances in 2D
András Hajdu, Tamás Tóth |
Pattern Recognit. Lett. | 2 |
| 2005 | Neighborhood Sequences and Their Applications in the Digital Image Processing
Attila Fazekas, András Hajdu, István Sánta, Tamás Tóth |
CAIP | 4 |
| 2000 | Evaluation of tenders in information technology
Tamás Rapcsák, Zoltán Sági, Tamás Tóth, László Kétszeri |
Decis. Support Syst. | 3 |