At the #eCAADe 2022 in Ghent (BE), a paper in the context of MetisCBR presented an approach for #LinkPrediction in architectural spatial configurations using graph neural networks:
Info & PDF: https://t.co/3rAkD01gRF
Source code of the approach (GitHub): https://t.co/9lN1lsGeam
MetisCBR was represented @ #CAADRIA 2022 with the paper on foundations and research overview of methods for #autocompletion of floor plans.
Abstract & PDF: https://t.co/0c7qGFVpG0
BITTE WEITERSAGEN! 🙂🇺🇦
Wir möchten Kindern, die aus der #Ukraine nach #Hannover geflüchtet sind, mit unseren Mitteln und Möglichkeiten dabei helfen, anzukommen und in der Gesellschaft Fuß zu fassen. Dafür rufen wir das folgende Angebot ins Leben.
#H96#NiemalsAllein ⚫⚪💚
Pleased to inform that MetisCBR will be represented at the #ecaade2021 conference with the paper "Comparative Evaluation of Tensor-based Data Representations for Deep Learning Methods in Architecture".
Get it here: https://t.co/I6QU3dvJBT
We are happy to announce a new publication:
"Exploring optimal ways to represent topological and spatial features of building designs in deep learning methods and applications for architecture"
Accepted + presented @ CAADRIA 2021, available on Cumincad: https://t.co/jcMdNRA6yR
We are happy to inform that the next paper in the context of MetisCBR has been published:
"Improved and Visually Enhanced Case-Based Retrieval of Room Configurations for Assistance in Architectural Design Education" presented @ #ICCBR2020
Get it here: https://t.co/9tIfcojETR
The recording of the workshop on knowledge-based systems in computational design 2020 is now available on Youtube. Check it out :-) https://t.co/dBidQJAOAB
Thanks once again
@iccc_conf
for giving us this opportunity!
Join us and submit to the Workshop on Knowledge-Based Systems in Computational Design at the @iccc_conf 2020!
We accept full papers, interactive sessions, and showcases.
https://t.co/bTc48NkfkB
Submission deadline: 1st Jun 2020
Conference: 7-11 Sep 2020 (Coimbra, PT or online)