Publications

Parvaneh Joharinad, und Jürgen Jost. Manifold learning, the scheme of Laplacian eigenmaps. Mathematics of Data, 227--251, Springer International Publishing, Cham, 2023. [PUMA: Laplacian Manifold eigenmaps learning nopdf]

Logics in Artificial Intelligence: 18th European Conference, JELIA 2023, Dresden, Germany, September 20--22, 2023, Proceedings. In Sarah Gaggl, Maria Vanina Martinez, und Magdalena Ortiz (Hrsg.), Lecture notes in computer science, Springer Nature Switzerland, Cham, 2023. [PUMA: AI Artificial Intelligence Logics in nopdf]

Parvaneh Joharinad, und Jürgen Jost. Linear methods: Kernels, variations, and averaging. Mathematics of Data, 165--191, Springer International Publishing, Cham, 2023. [PUMA: Linear methods nopdf]

Matti Berthold, Matthias Knorr, und Daphne Odekerken. Proceedings 39th international conference on logic programming. Electron. Proc. Theor. Comput. Sci., (385):321--323, Open Publishing Association, September 2023. [PUMA: logic nopdf programming]

Sander Münster, Christoph Lehmann, Taras Lazariv, Ferdinand Maiwald, und Susanne Karsten. Toward an Automated Pipeline for a Browser-Based, City-Scale Mobile 4D VR Application Based on Historical Images. In Florian Niebling, Sander Münster, und Heike Messemer (Hrsg.), Research and Education in Urban History in the Age of Digital Libraries, 106--128, Springer International Publishing, Cham, 2021. [PUMA: 4D Application Automated Browser-Based City-Scale Historical Images Mobile Pipeline VR nopdf]

Anna Fensel, Ana Ozaki, Dumitru Roman, und Ahmet Soylu. Rules and Reasoning: 7th International Joint Conference, RuleML+ RR 2023, Oslo, Norway, September 18--20, 2023, Proceedings. (14244)Springer Nature, 2023. [PUMA: 2023 RR RuleML nopdf]

Raghava Vinaykanth Mushunuri, Matthias Choschzick, Ulf-Dietrich Braumann, und Jürgen Hess. An ensemble approach for histopathological classification of vulvar cancer. In John E Tomaszewski, und Aaron D Ward (Hrsg.), Medical Imaging 2023: Digital and Computational Pathology, 40, SPIE, April 2023. [PUMA: approach cancer classification ensemble histopathological nopdf vulvar]

André Renz. AI in Education: Educational Technology and AI. In Inka Knappertsbusch, und Kai Gondlach (Hrsg.), Work and AI 2030: Challenges and Strategies for Tomorrow's Work, 353--360, Springer Fachmedien Wiesbaden, Wiesbaden, 2023. [PUMA: AI Educational Technology nopdf] URL

Maksim Kukushkin, Martin Bogdan, und Thomas Schmid. On optimizing morphological neural networks for hyperspectral image classification. In Wolfgang Osten (Hrsg.), Sixteenth International Conference on Machine Vision (ICMV 2023), (13072):1307202, SPIE, 2024. [PUMA: classification computer deep hyperspectral image learning mathematical morphological morphology networks neuronal nopdf remote sensing vision] URL

Fabian Erichsmeier, Maksim Kukushkin, Johannes Fiedler, Matthias Enders, Simon Goertz, Martin Bogdan, Thomas Schmid, und Reinhard Kaschuba. Automating the purity analysis of oilseed rape through usage of hyperspectral imaging. In Dag Heinemann, und GerritEditors Polder (Hrsg.), Photonic Technologies in Plant and Agricultural Science, 21, SPIE, 2024. [PUMA: Automating analysis hyperspectral imaging nopdf oilseed purity rape]

Julian Striegl, Sebastian Rottmann, und Claudia Loitsch. Effectiveness and Acceptance of Conversational Agent-based Psychotherapy for Depression and Anxiety Treatment: Methodological Literature Review. Februar 2024. [PUMA: imported nopdf]

Clemens Witt, Thiemo Leonhardt, Erik Marx, und Nadine Bergner. From Guesswork to Game Plan: Exploring Problem-Solving-Strategies in a Machine Learning Game. In Zsuzsa Pluhár, und Bence Gaál (Hrsg.), Informatics in Schools. Innovative Approaches to Computer Science Teaching and Learning, 73--84, Springer Nature Switzerland, Cham, 2025. [PUMA: imported nopdf]

Marc Hellmuth, Peter F. Stadler, und Sandhya Thekkumpadan Puthiyaveedu. Fitch Graph Completion. Computing and Combinatorics, 225–237, Springer Nature Switzerland, Dezember 2023. [PUMA: Completion Fitch Graph nopdf] URL

Jürgen Jost, Roberto Lalli, Manfred D. Laubichler, Eckehard Olbrich, Jürgen Renn, Guillermo Restrepo, Peter F. Stadler, und Dirk Wintergrün. Computational History: Challenges and Opportunities of Formal Approaches. Journal of Social Computing, (4)3:232–242, Institute of Electrical and Electronics Engineers (IEEE), September 2023. [PUMA: Challenges Computational History Opportunities nopdf] URL

Sarah von Löhneysen, Thomas Spicher, Yuliia Varenyk, Hua-Ting Yao, Ronny Lorenz, Ivo Hofacker, und Peter F Stadler. Phylogenetic and Chemical Probing Information as Soft Constraints in RNA Secondary Structure Prediction. Journal of Computational Biology, (31)6:549--563, Mary Ann Liebert, Inc., publishers 140 Huguenot Street, 3rd Floor New~…, 2024. [PUMA: imported nopdf]

Daniel Merkle, und Peter F Stadler. On the Realisability of Chemical Pathways. Bioinformatics Research and Applications: 19th International Symposium, ISBRA 2023, Wrocław, Poland, October 9--12, 2023, Proceedings, (14248):409, 2023. [PUMA: imported nopdf]

C Schultz, S Bernhart, J Gnauck, DI Valdivia, A Stubenvoll, H Betat, M Moerl, PF Stadler, und M Kunz. Melanoma development: linking tRNA composition to mRNA expression. EXPERIMENTAL DERMATOLOGY, (33)32024. [PUMA: imported nopdf]

Dustyn Eggers, Christian Höner zu Siederdissen, und Peter F. Stadler. Accuracy of RNA Structure Prediction Depends on the Pseudoknot Grammar. Advances in Bioinformatics and Computational Biology, 20–31, Springer Nature Switzerland, 2022. [PUMA: DependsPseudoknot Grammar Prediction RNA Structure nopdf] URL

Charlotte Beylier, Nico Scherf, und Christian F Doeller. The development of representations in artificial agents. Scientific Advisory Board (SAB) Meeting, 2023. [PUMA: imported nopdf]

Charlotte Beylier, Nico Scherf, Christian F Doeller, und Nicholas Menghi. Representation in machine learning: A neuro-cognitive approach. French-German Research and Innovation Network for AI workshop, 2022. [PUMA: imported nopdf]