Publications

Mario Hoffmann, Francesca Müller, and Arthur Fleig. LAURA: A Framework for Assessing the Usability of IT Security Policies Based on Learnability, Actionability, Understandability, Relevance, and Abstraction. In Lewis Chuang, Maximilian Eibl, Martin Gaedke, and Jasmin Niess (Eds.), Proceedings of the Mensch Und Computer 2025, 1–16, Association for Computing Machinery, New York, NY, USA, 2025. [PUMA: Assessment Framework IT Usability myown policies; security; usable] URL

Xiaobo Lin, Zhaoqian Su, Yunchao Lance Liu, Jingxian Liu, Xiaohan Kuang, Peter T. Cummings, Jesse Spencer-Smith, and Jens Meiler. SuperMetal: a generative AI framework for rapid and precise metal ion location prediction in proteins. Journal of Cheminformatics, (17)1:107, Jul 15, 2025. [PUMA: ai framework generative metal_ion_prediction proteins xack yaff] URL

Johannes Kiesel, Florian Kneist, Lars Meyer, Kristof Komlossy, Benno Stein, and Martin Potthast. Web Page Segmentation Revisited: Evaluation Framework and Dataset. In Mathieu d'Aquin, Stefan Dietze, Claudia Hauff, Edward Curry, and Philippe Cudré-Mauroux (Eds.), 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), 3047--3054, ACM, October 2020. [PUMA: Dataset Evaluation Framework Page Revisited Segmentation zno web]

Dianzhao Li, and Ostap Okhrin. A platform-agnostic deep reinforcement learning framework for effective Sim2Real transfer towards autonomous driving. Commun Eng, (3)1:147, Springer Science and Business Media LLC, October 2024. [PUMA: Sim2Real autonomous deep driving framework learning platform-agnostic reinforcement xack]

Yangjun Zhang, Pengjie Ren, and Maarten de Rijke. A human-machine collaborative framework for evaluating malevolence in dialogues. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 5612--5623, 2021. [PUMA: collaborative evaluating framework human-machine malevolence zno]

Gezim Sejdiu, Anisa Rula, Jens Lehmann, and Hajira Jabeen. A Scalable Framework for Quality Assessment of RDF Datasets. Lecture Notes in Computer Science, 261--276, Springer International Publishing, Cham, 2019. [PUMA: Assessment Datasets Framework Quality RDF Scalable zno]