Barbara Strug

VLDB 2026 Research / reviewers in the wild / expert

dblp:94/1997 · DBLP profile ↗

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17ranked-venue papers

5as first author

7since 2021 · last 2025

0000-0002-2204-507XORCID · corroborated

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

Human-computer interaction and ubiquitous computing · 6 · 1 first-author · 3 since 2021Artificial intelligence and machine learning · 5 · 1 first-author · 3 since 2021Databases, data management, data science and information retrieval · 5 · 3 first-author · 1 since 2021Software engineering, systems software and programming languages · 2Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-author · 2 since 2021Applied, interdisciplinary, general and emerging computing · 1

Year	Publication	Venue	Position
2025	Collaborative Assessment of Apartments for Predicting a Potential Customer Group by Machine Learning Algorithms Barbara Strug, Grazyna Slusarczyk	CDVE	1
2024	Style-Preserving Evolutionary Approach In Cooperative Game Design Agnieszka Mars, Ewa Grabska, Barbara Strug, Grazyna Slusarczyk	CDVE	3
2023	Semantic-driven Graph Transformations in Floor Plan Design Grazyna Slusarczyk, Barbara Strug, Anna Paszynska, Ewa Grabska, Wojciech Palacz	Comput. Aided Des.	2
2022	Machine Learning Methods for BIM Data Grazyna Slusarczyk, Barbara Strug	ACIIDS (2)	2
2022	Cooperative Design of a Community Garden Grazyna Slusarczyk, Barbara Strug	CDVE	2
2022	Specification-Driven Evolution of Floor Plan Design Katarzyna Grzesiak-Kopec, Barbara Strug, Grazyna Slusarczyk	PPSN (2)	2
2021	Computational Ontology and BIM Technology in Data-Driven Indoor Route Planning Barbara Strug, Grazyna Slusarczyk	IEA/AIE (1)	1
2020	Cooperative Design of an Interactive Museum Guide Grazyna Slusarczyk, Barbara Strug, Andrzej Kapanowski	CDVE	2
2018	Cooperative Design in a Visual Interactive Environment Ewa Grabska, Barbara Strug, Grazyna Slusarczyk	CDVE	2
2018	Special issue on EG-ICE 2016 Barbara Strug, Grazyna Slusarczyk	Adv. Eng. Informatics	1
2017	Visual Design Using Case-Based Reasoning and Multi-agent Systems Wojciech Palacz, Grazyna Slusarczyk, Barbara Strug, Ewa Grabska	CDVE	3
2017	Using Classification for Cost Reduction of Applying Mutation Testing abstract The paper uses machine learning methods to deal with the problem of reducing the cost of applying mutation testing.A method of classifying mutants of a program using structural similarity is proposed.To calculate such a similarity each mutant is firstly converted into a hierarchical graph, which represents the mutant's control flow, variables and conditions.Then using such a graph form graph kernels are introduced to calculate similarity among mutants.The classification algorithm is then applied for prediction.This approach helps to lower the number of mutants which have to be executed.An experimental validation of this approach is also presented. Joanna Strug, Barbara Strug	FedCSIS	2
2014	Supporting the design process with hypergraph genetic operators Barbara Strug, Ewa Grabska, Grazyna Slusarczyk	Adv. Eng. Informatics	1
2014	Heterogeneous graph grammars synchronization in CAD systems supported by hypergraph representations of buildings Leszek Kotulski, Adam Sedziwy, Barbara Strug	Expert Syst. Appl.	3
2013	Supporting communication and cooperation in distributed representation for adaptive design Leszek Kotulski, Barbara Strug	Adv. Eng. Informatics	2
2012	Machine Learning Approach in Mutation Testing Joanna Strug, Barbara Strug	ICTSS	2
2009	Reasoning about designs through frequent patterns mining Barbara Strug, Grazyna Slusarczyk	Adv. Eng. Informatics	1