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Viktor Eisenstadt
Viktor Eisenstadt
Sonstige NamenViktor Ayzenshtadt
Bestätigte E-Mail-Adresse bei uni-hildesheim.de - Startseite
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Zitiert von
Zitiert von
Jahr
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
International Conference on Pattern Recognition Applications and Methods 2 …, 2017
342017
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
282016
Generation of Floor Plan Variations with Convolutional Neural Networks and Case-based Reasoning An approach for transformative adaptation of room configurations within a …
V Eisenstadt, C Langenhan, KD Althof
Blucher Design Proceedings, 2019
212019
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
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
172015
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
132018
Improved and visually enhanced case-based retrieval of room configurations for assistance in architectural design education
V Eisenstadt, C Langenhan, KD Althoff, A Dengel
International Conference on Case-Based Reasoning, 213-228, 2020
112020
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
92021
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
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
72019
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
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
62019
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
52022
Predicting semantic building information (BIM) with Recurrent Neural Networks
B Mete, J Bielski, C Langenhan, F Petzold, V Eisenstadt, KD Althoff
ECPPM 2022-eWork and eBusiness in Architecture, Engineering and Construction …, 2023
42023
Consistency Checker-An automatic constraint-based evaluator for housing spatial configurations
H Arora, J Bielski, V Eisenstadt, C Langenhan, C Ziegler, KD Althoff, ...
Education and research in Computer Aided Architectural Design in Europe …, 2021
42021
Comparative evaluation of tensor-based data representations for deep learning methods in architecture
V Eisenstadt, H Arora, C Ziegler, J Bielski, C Langenhan, K Althoff, ...
Proceedings of the 39th eCAADe conference 1, 45-54, 2021
42021
What Is the Next Step? Supporting Architectural Room Configuration Process with Case-Based Reasoning and Recurrent Neural Networks
V Eisenstadt, KD Althoff
The Thirty-Second International Flairs Conference, 2019
42019
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, KD Althoff
ICCC, 73-77, 2022
32022
THE WHAT, WHY, WHAT-IF AND HOW-TO FOR DESIGNING ARCHITECTURE
J BIELSKI, C LANGENHAN, C ZIEGLER, V EISENSTADT, F PETZOLD, ...
CAADRIA 2022, 2022
3*2022
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
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