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ORCIDStefan Klikovits
Person information
- affiliation: Johannes Kepler University Linz, Austria
- affiliation (former): National Institute of Informatics, Tokyo, Japan
- affiliation (former): University of Geneva, Switzerland
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2020 – today
- 2024
[c24]Stefan Klikovits
, Cédric Ho Thanh, Ahmet Cetinkaya, Paolo Arcaini:
Trust Your Neighbours: Handling Noise in Multi-Objective Optimisation Using kNN-Averaging (GECCO'24 Hot off the Press). GECCO Companion 2024: 39-40- [c23]Stefan Klikovits, Didier Buchs:
Pragmatic Reuse for DSML Development. Modellierung 2024: 215-216 - [c22]Matteo Biagiola, Stefan Klikovits:
SBFT Tool Competition 2024 - Cyber-Physical Systems Track. SBFT@ICSE 2024: 33-36 - [c21]Stefan Klikovits, Alessio Gambi, Deepak Dhungana, Rick Rabiser:
Leveraging Software Product Lines for Testing Autonomous Vehicles. VaMoS 2024: 56-60 - [e2]Axel Schmolitzky, Stefan Klikovits:
Software Engineering im Unterricht der Hochschulen, SEUH 2024, Linz, Austria, February 29 - March 1, 2024. LNI P-346, Gesellschaft für Informatik e.V. 2024, ISBN 978-3-88579-740-1 [contents] - [e1]Hessa Alfraihi, Francesco Basciani, Georgiana Caltais, Nicolas Ferry, José Antonio Hernández López, Ludovico Iovino, Robbert Jongeling, Stefan Klikovits, Shekoufeh Kolahdouz Rahimi, Riccardo Rubei, Sobhan Yassipour Tehrani, Javier Troya, Mairieli Wessel, Vadim Zaytsev:
Proceedings of the STAF 2024 Workshops: AgileMDE 2024, LLM4MDE 2024, and MeSS 2024 co-located with the International Conference on Software Technologies: Applications and Foundations (STAF 2024) Enschede, The Netherlands, July 8-11, 2024. CEUR Workshop Proceedings 3727, CEUR-WS.org 2024 [contents] - 2023
- [j4]Stefan Klikovits, Cédric Ho Thanh, Ahmet Cetinkaya, Paolo Arcaini:
Trust your neighbours: Handling noise in multi-objective optimisation using kNN-averaging. Appl. Soft Comput. 146: 110631 (2023) - [j3]Stefan Klikovits, Ezequiel Castellano, Ahmet Cetinkaya, Paolo Arcaini:
Frenetic-lib: An extensible framework for search-based generation of road structures for ADS testing. Sci. Comput. Program. 230: 102996 (2023) - [j2]Thomas Laurent, Stefan Klikovits, Paolo Arcaini, Fuyuki Ishikawa, Anthony Ventresque:
Parameter Coverage for Testing of Autonomous Driving Systems under Uncertainty. ACM Trans. Softw. Eng. Methodol. 32(3): 58:1-58:31 (2023) - [c20]Felix Günther Gemeinhardt, Stefan Klikovits, Manuel Wimmer:
Hybrid Multi-Objective Genetic Programming for Parameterized Quantum Operator Discovery. GECCO Companion 2023: 795-798 - [c19]Matteo Biagiola, Stefan Klikovits, Jarkko Peltomäki, Vincenzo Riccio:
SBFT Tool Competition 2023 - Cyber-Physical Systems Track. SBFT 2023: 45-48 - [c18]Ramya Jayaraman, Daniel Lehner, Stefan Klikovits, Manuel Wimmer:
Towards Generating Model-Driven Speech Interfaces for Digital Twins. MoDELS (Companion) 2023: 459-464 - [c17]Felix Gemeinhardt, Martin Eisenberg, Stefan Klikovits, Manuel Wimmer:
Model-Driven Optimization for Quantum Program Synthesis with MOMoT. MoDELS (Companion) 2023: 614-621 - [d3]Felix Gemeinhardt, Stefan Klikovits, Manuel Wimmer:
jku-win-se/Genetic-Programming-for-Quantum-Operator-Discovery: ZenodoRelease. Zenodo, 2023
- [d2]Stefan Klikovits, Cédric Ho Thanh, Ahmet Cetinkaya, Paolo Arcaini:
"Trust Your Neighbours: Handling Noise in Multi-Objective Optimisation Using kNN-Averaging" - Supporting Data. Zenodo, 2023 - [d1]Stefan Klikovits, Cédric Ho Thanh, Ahmet Cetinkaya, Paolo Arcaini:
"Trust Your Neighbours: Handling Noise in Multi-Objective Optimisation Using kNN-Averaging" - Supporting Data. Zenodo, 2023 - 2022
- [c16]Masaki Waga, Ezequiel Castellano, Sasinee Pruekprasert, Stefan Klikovits, Toru Takisaka, Ichiro Hasuo:
Dynamic Shielding for Reinforcement Learning in Black-Box Environments. ATVA 2022: 25-41 - [c15]Ezequiel Castellano, Stefan Klikovits, Ahmet Cetinkaya, Paolo Arcaini:
FreneticV at the SBST 2022 Tool Competition. SBST@ICSE 2022: 47-48 - [i6]Masaki Waga, Ezequiel Castellano, Sasinee Pruekprasert, Stefan Klikovits, Toru Takisaka, Ichiro Hasuo:
Dynamic Shielding for Reinforcement Learning in Black-Box Environments. CoRR abs/2207.13446 (2022) - [i5]Stefan Klikovits, Vincenzo Riccio, Ezequiel Castellano, Ahmet Cetinkaya, Alessio Gambi, Paolo Arcaini:
Does Road Diversity Really Matter in Testing Automated Driving Systems? - A Registered Report. CoRR abs/2209.05947 (2022) - 2021
- [j1]Stefan Klikovits, Didier Buchs:
Pragmatic reuse for DSML development. Softw. Syst. Model. 20(3): 837-866 (2021) - [c14]Stefan Klikovits, Paolo Arcaini:
On the Need for Multi-Level ADS Scenarios. MoDELS (Companion) 2021: 322-326 - [c13]Stefan Klikovits, Paolo Arcaini:
Handling Noise in Search-Based Scenario Generation for Autonomous Driving Systems. PRDC 2021: 1-6 - [c12]Stefan Klikovits, Paolo Arcaini:
KNN-Averaging for Noisy Multi-objective Optimisation. QUATIC 2021: 503-518 - [c11]Ezequiel Castellano, Ahmet Cetinkaya, Cédric Ho Thanh, Stefan Klikovits, Xiaoyi Zhang, Paolo Arcaini:
Frenetic at the SBST 2021 Tool Competition. SBST@ICSE 2021: 36-37 - [c10]Clovis Eberhart, Akihisa Yamada, Stefan Klikovits, Shin-ya Katsumata, Tsutomu Kobayashi, Ichiro Hasuo, Fuyuki Ishikawa:
Architecture-Guided Test Resource Allocation via Logic. TAP@STAF 2021: 22-38 - [i4]Clovis Eberhart, Akihisa Yamada, Stefan Klikovits, Shin-ya Katsumata, Tsutomu Kobayashi, Ichiro Hasuo, Fuyuki Ishikawa:
Architecture-Guided Test Resource Allocation Via Logic. CoRR abs/2107.10948 (2021) - [i3]Stefan Klikovits, Paolo Arcaini:
On the Need for Multi-Level ADS Scenarios. CoRR abs/2109.05210 (2021) - [i2]Stefan Klikovits, Paolo Arcaini:
Handling Noise in Search-Based Scenario Generation for Autonomous Driving Systems. CoRR abs/2109.07698 (2021) - [i1]Stefan Klikovits, Paolo Arcaini:
KNN-Averaging for Noisy Multi-objective Optimisation. CoRR abs/2109.13104 (2021)
2010 – 2019
- 2019
- [b1]Stefan Klikovits:
A domain-specific language approach to hybrid cps modelling. University of Geneva, Switzerland, 2019 - 2018
- [c9]Stefan Klikovits, Alban Linard, Dimitri Racordon, Didier Buchs:
Petri Sport: A Sport for Petri Netters. PNSE@Petri Nets/ACSD 2018: 35-56 - [c8]Didier Buchs, Stefan Klikovits, Alban Linard, Romain Mencattini, Dimitri Racordon:
A Model Checker Collection for the Model Checking Contest Using Docker and Machine Learning. Petri Nets 2018: 385-395 - [c7]Stefan Klikovits, Aurélien Coet, Didier Buchs:
ML4CREST: Machine Learning for CPS Models. MoDELS (Workshops) 2018: 515-520 - [c6]Stefan Klikovits, Alban Linard, Didier Buchs:
CREST - A DSL for Reactive Cyber-Physical Systems. SAM 2018: 29-45 - 2017
- [c5]Stefan Klikovits, Alban Linard, Didier Buchs:
CREST - A Continuous, REactive SysTems DSL. MoDELS (Satellite Events) 2017: 286-291 - [c4]Stefan Klikovits, Joachim Denil, Alexandre Muzy, Rick Salay:
Modeling Frames. MoDELS (Satellite Events) 2017: 315-320 - [c3]Joachim Denil, Stefan Klikovits, Pieter J. Mosterman, Antonio Vallecillo, Hans Vangheluwe:
The experiment model and validity frame in M&S. SpringSim (TMS) 2017: 10:1-10:12 - 2016
- [c2]Stefan Klikovits, David P. Y. Lawrence, Manuel Gonzalez-Berges, Didier Buchs:
Automated Test Case Generation for the CTRL Programming Language Using Pex: Lessons Learned. SERENE 2016: 117-132 - 2015
- [c1]Stefan Klikovits, David P. Y. Lawrence, Manuel Gonzalez-Berges, Didier Buchs:
Considering Execution Environment Resilience: A White-Box Approach. SERENE 2015: 46-61
Coauthor Index
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last updated on 2024-11-08 20:28 CET by the dblp team
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