Publications

Raimund Dachselt, Sarah Alice Gaggl, Markus Krötzsch, Julián Méndez, Dominik Rusovac, and Mei Yang. NEXAS: A Visual Tool for Navigating and Exploring Argumentation Solution Spaces. In Francesca Toni, Sylwia Polberg, Richard Booth, Martin Caminada, and Hiroyuki Kido (Eds.), Proceedings of the 9th International Conference on Computational Models of Argument (COMMA 2022), (220146):116–127, IOS Press, Amsterdam u. a., Netherlands, Sep 1, 2022. [PUMA: FIS_scads topic_knowledge visualization exploration, solution argumentation, abstract space]

Veronia Iskandar, Mohamed A. Abd El Ghany, and Diana Goehringer. NDP-RANK: Prediction and ranking of NDP systems performance using machine learning. Microprocessors and Microsystems, (96):104707, 2023. [PUMA: Near-data Modeling, topic_federatedlearn exploration Design processing, learning, space Machine Prediction,] URL

Kristian Schultz, Saptarshi Bej, Waldemar Hahn, Markus Wolfien, Prashant Srivastava, and Olaf Wolkenhauer. ConvGeN: A convex space learning approach for deep-generative oversampling and imbalanced classification of small tabular datasets. Pattern recognition : the journal of the Pattern Recognition Society, (147)Elsevier Science B.V., March 2024. [PUMA: FIS_scads Tabular Convex Imbalanced learning, GAN, data topic_lifescience LoRAS, space data,]