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Ploennigs, J.; Berger, M., Carnein, E.: ArchiGuesser - An AI Art Architecture Educational Game, NeurIPS – Creative AI Track, 2023. Ba. A.; O'Donncha, F.; Ploennigs, J.; Muneeza, A.: Efficient Extraction of Insights at the Edges of Distributed Systems, IEEE BigData, 2023. Berger, M.; Ploennigs, J.: ArchiGuesser - Teaching Architecture Styles using Generative AI, BuildSys, 2023. Ba, A.; O'Donncha, F.; Ploennigs, J.; Lohse, C.; Langbridge, A.: Extracting Insights from Cities with Graph Neural Networks, INFORMS Annual Meeting, 2023. O'Donncha, F.; Sheehan, J.; Lorenzi, F.; Ploennigs, J: Large Language Models and Knowledge Graphs to Optimize Commercial Real Estate Portfolio, INFORMS Annual Meeting, 2023. Lynch, K.; Ploennigs, J.; Eck, B.: What Makes a Good Dataset for Symbol Description Reading?, CoRR, 2023. Langbridge, A.: O’Donncha, F.; Ba, A.; Lorenzi, F.; Lohse, C.; Ploennigs, J.: Can we evaluate causal structures using Graph Neural Networks, UAI, 2023. Hasselberg, J.; Berger, B; Wogan, M.: Microservice-based analysis and web visualization of bicycle suitability for inner-city traffic planning, GI Salzburg, 2023. Ploennigs, J.; Berger, M.: Analysing the Usage of AI Art tools for Architecture, European Conf. on Computing in Construction (EC3), 2023. Langbridge, A.: O’Donncha, F.; Ba, A.; Lorenzi, F.; Lohse, C.; Ploennigs, J.: Causal Temporal Graph Convolutional Neural Networks (CTGCN), FunCausal, 2023. Patel, D.; Lin, S.; Shah, D.; Jayaraman, S.; Ploennigs, J.; Bhamidipaty, A.; Kalagnanam, J.: AI Model Factory : Scaling AI for Industry 4.0 Applications, AAAI, 2023.
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