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Viktor Eisenstadt
Viktor Eisenstadt
Other namesViktor Ayzenshtadt
Verified email at uni-hildesheim.de - Homepage
Title
Cited by
Cited by
Year
Semantic Pattern-based Retrieval of Architectural Floor Plans with Case-based and Graph-based Searching Techniques and their Evaluation and Visualization.
QU Sabri, J Bayer, V Ayzenshtadt, SS Bukhari, KD Althoff, A Dengel
ICPRAM, 50-60, 2017
312017
Thinking With Containers: A Multi-Agent Retrieval Approach for the Case-Based Semantic Search of Architectural Designs.
V Ayzenshtadt, C Langenhan, SS Bukhari, KD Althoff, F Petzold, A Dengel
ICAART (1), 149-156, 2016
302016
Generation of Floor Plan Variations with Convolutional Neural Networks and Case-based Reasoning--An Approach for Unsupervised Adaptation of Room Configurations within a …
V Eisenstadt, C Langenhan, KD Althoff
eCAADe SIGraDi Conference, Porto, 2019
202019
Distributed domain model for the case-based retrieval of architectural building designs
V Ayzenshtadt, C Langenhan, SS Bukhari, KD Althoff, F Petzold, A Dengel
Proceedings of the 20th UK Workshop on Case-Based Reasoning. UK Workshop on …, 2015
182015
Comparative evaluation of rule-based and case-based retrieval coordination for search of architectural building designs
V Ayzenshtadt, C Langenhan, J Roith, S Bukhari, KD Althoff, F Petzold, ...
ICCBR (International Conference on Case-Based Reasoning), 16-31, 2016
172016
Explainable distributed case-based support systems: Patterns for enhancement and validation of design recommendations
V Eisenstadt, C Espinoza-Stapelfeld, A Mikyas, KD Althoff
Case-Based Reasoning Research and Development: 26th International Conference …, 2018
122018
Improved and visually enhanced case-based retrieval of room configurations for assistance in architectural design education
V Eisenstadt, C Langenhan, KD Althoff, A Dengel
Case-Based Reasoning Research and Development: 28th International Conference …, 2020
92020
Multi-Agent-Based Generation of Explanations for Retrieval Results Within a Case-Based Support Framework for Architectural Design
V Ayzenshtadt, CA Espinoza-Stapelfeld, C Langenhan, KD Althoff
ICAART 2018, 2018
82018
Extending the flexibility of case-based design support tools: A use case in the architectural domain
V Ayzenshtadt, C Langenhan, S Bukhari, KD Althoff, F Petzold, A Dengel
Case-Based Reasoning Research and Development: 25th International Conference …, 2017
72017
Flea-cbr–a flexible alternative to the classic 4r cycle of case-based reasoning
V Eisenstadt, C Langenhan, KD Althoff
Case-Based Reasoning Research and Development: 27th International Conference …, 2019
52019
What Is the Next Step? Supporting Architectural Room Configuration Process with Case-Based Reasoning and Recurrent Neural Networks.
V Eisenstadt, KD Althoff
FLAIRS Conference, 335-340, 2019
42019
Quantifying the intangible-a tool for retrospective protocol studies of sketching during the early conceptual de-sign of architecture
J Bielski, C Langenhan, C Ziegler, V Eisenstadt, A Dengel, KD Althoff
International Conference of the Association for Computer-Aided Architectural …, 2022
32022
METIS-GAN: An approach to generate spatial configurations using deep learning and semantic building models
H Arora, C Langenhan, F Petzold, V Eisenstadt, KD Althoff
ECPPM 2021–eWork and eBusiness in Architecture, Engineering and Construction …, 2021
32021
Consistency Checker-An automatic constraint-based evaluator for housing spatial configurations
H Arora, J Bielski, V Eisenstadt, C Langenhan, C Ziegler, KD Althoff, ...
CUMINCAD, 2021
32021
Exploring optimal ways to represent topological and spatial features of building designs in deep learning methods and applications for architecture
V Eisenstadt, H Arora, C Ziegler, J Bielski, C Langenhan, KD Althoff, ...
CAADRIA, 2021
32021
Comparative quantitative evaluation of distributed methods for explanation generation and validation of floor plan recommendations
C Espinoza-Stapelfeld, V Eisenstadt, KD Althoff
Agents and Artificial Intelligence: 10th International Conference, ICAART …, 2019
32019
Chasing the white rabbit–a case study of predicting design phases of architects by training a deep neural network with sketch recognition through a digital drawing board
J Bielski, B Mete, V Eisenstadt, C Langenhan, F Petzold, A Dengel, ...
ICCC,[Preprint], Pinhal de Marrocos: Association for Computational Creativity, 2022
22022
Predicting semantic building information (bim) with recurrent neural networks
B Mete, J Bielski, V Eisenstadt, C Langenhan, F Petzold, KD Althoff
European Conference on Product and Process Modeling, 2022
22022
AUTOCOMPLETION OF FLOOR PLANS FOR THE EARLY DESIGN PHASES IN ARCHITECTURE: FOUNDATIONS, EXISTING METHODS, AND RESEARCH OUTLOOK
V EISENSTADT, J BIELSKI, B METE, C LANGENHAN, KD ALTHOFF, ...
CAADRIA 2022, 2022
22022
Supporting Architectural Design Process with FLEA: A Distributed AI Methodology for Retrieval, Suggestion, Adaptation, and Explanation of Room Configurations
V Eisenstadt, C Lanhgenhan, KD Althoff
Computer-Aided Architectural Design." Hello, Culture" 18th International …, 2019
22019
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