Comparative Quantitative Evaluation of Distributed Methods for Explanation Generation and Validation of Floor Plan Recommendations. - Christian Espinoza-Stapelfeld; Viktor Eisenstadt; Klaus-Dieter Althoff (ICAART (Revised Selected Papers), 2018)

Explainable Distributed Case-Based Support Systems: Patterns for Enhancement and Validation of Design Recommendations. - Viktor Eisenstadt; Christian Espinoza-Stapelfeld; Ada Mikyas; Klaus-Dieter Althoff (ICCBR, 2018)

A Preliminary Survey of Explanation Facilities of AI-Based Design Support Approaches and Tools. - Viktor Eisenstadt; Klaus-Dieter Althoff (LWDA, 2018)

Supporting Architectural Design Process with FLEA - A Distributed AI Methodology for Retrieval, Suggestion, Adaptation, and Explanation of Room Configurations. - Viktor Eisenstadt; Christoph Langenhan; Klaus-Dieter Althoff (CAAD Futures, 2019)

What Is the Next Step? Supporting Architectural Room Configuration Process with Case-Based Reasoning and Recurrent Neural Networks. - Viktor Eisenstadt; Klaus-Dieter Althoff (FLAIRS, 2019)

Workshop preface. - Viktor Eisenstadt; Klaus-Dieter Althoff; Jakob Michael Schoenborn (ICCBR Workshops, 2019)

FLEA-CBR - A Flexible Alternative to the Classic 4R Cycle of Case-Based Reasoning. - Viktor Eisenstadt; Christoph Langenhan; Klaus-Dieter Althoff (ICCBR, 2019)

Overview of 4R CBR Cycle Modifications (Extended Version). - Viktor Eisenstadt; Klaus-Dieter Althoff (LWDA, 2019)

RALE-ACL - A Language for Information Exchange between Case-Based Agents as Alternative to the FIPA-ACL-Based Communication. - Viktor Eisenstadt; Klaus-Dieter Althoff (FLAIRS, 2020)

Improved and Visually Enhanced Case-Based Retrieval of Room Configurations for Assistance in Architectural Design Education. - Viktor Eisenstadt; Christoph Langenhan; Klaus-Dieter Althoff; Andreas Dengel 001 (ICCBR, 2020)

Student Graduation Projects in the Context of Framework for AI-Based Support of Early Conceptual Phases in Architecture. - Viktor Eisenstadt; Klaus-Dieter Althoff; Christoph Langenhan (LWDA, 2020)

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. - Jessica Bielski; Burak Mete; Viktor Eisenstadt; Christoph Langenhan; Frank Petzold; Klaus-Dieter Althoff (ICCC, 2022)

A Feature-wise Comparative Assessment of the CBR-based Methodologies FLEA and SEASALT. - Viktor Eisenstadt; Jessica Bielski; Christoph Langenhan; Klaus-Dieter Althoff; Andreas Dengel 001 (LWDA, 2023)

link-prediction. - Viktor Eisenstadt; Jessica Bielski; Christoph Langenhan; Ozan Karaali; Klaus-Dieter Althoff; Andreas Dengel 001 (Zenodo, 2023)

link-prediction. - Viktor Eisenstadt; Jessica Bielski; Christoph Langenhan; Ozan Karaali; Klaus-Dieter Althoff; Andreas Dengel 001 (Zenodo, 2023)

link-prediction. - Viktor Eisenstadt; Jessica Bielski; Christoph Langenhan; Ozan Karaali; Klaus-Dieter Althoff; Andreas Dengel 001 (Zenodo, 2023)

Autocompletion of Architectural Spatial Configurations Using Case-Based Reasoning, Graph Clustering, and Deep Learning. - Viktor Eisenstadt; Christoph Langenhan; Jessica Bielski; Ralph Bergmann; Klaus-Dieter Althoff (ICCBR, 2024)

Supporting Early Phases of Conceptual Design in Architecture Using Case-Based Reasoning and Distributed Artificial Intelligence. - Viktor Eisenstadt (2024)