Publications

Huy Viet Le, Sven Mayer, und Niels Henze. InfiniTouch: Finger-Aware Interaction on Fully Touch Sensitive Smartphones. Proceedings of the 31th Annual ACM Symposium on User Interface Software and Technology, ACM, New York, NY, USA, 2018. [PUMA: vis(us) machine learning touchscreen finger-aware interaction vis-sks vis visus:mayersn visus:henzens visus:lehy tiger-generation:639050837611090917] URL

Huy Viet Le, Thomas Kosch, Patrick Bader, Sven Mayer, und Niels Henze. PalmTouch: Using the Palm As an Additional Input Modality on Commodity Smartphones. Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 360:1-360:13, ACM, New York, NY, USA, 2018. [PUMA: vis-sks vis vis(us) smartphone learning image capacitive machine palm visus:lehy visus:baderpk visus:koschts visus:mayersn visus:henzens tiger-generation:639050837611090917] URL

Huy Viet Le, Sven Mayer, Thomas Kosch, und Niels Henze. Demonstrating PalmTouch: The Palm as An Additional Input Modality on Commodity Smartphones. Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, ACM, New York, NY, USA, 2018. [PUMA: vis(us) palm smartphone image learning machine capacitive vis-sks vis visus:mayersn visus:henzens visus:koschts visus:lehy tiger-generation:639050837611090917] URL

Thomas Villmann, Marika Kaden, Mehrdad Mohannazadeh Bakhtiari, und Andrea Villmann. Appropriate data density models in probabilistic machine learning approaches for data analysis. International Conference on Artificial Intelligence and Soft Computing, 443--454, 2019. [PUMA: data density learning machine probabilistic]

Axel Körner, Edith Anahi Gonzalez San Martin, Larissa Born, Matthias Ridder, Stephan Moser, Robert Weitlaner, Götz T. Gresser, und Jan Knippers. FlectoLine: eine adaptive Fassade für nachhaltige Architektur FlectoLine: A responsive Façade for sustainable architecture. Stahlbau, Oktober 2025. [PUMA: Aktuatorik Bionik Fassade Kunststoff Lernen Mechanismen Photovoltaik Zwilling actuation adaptive biomimetic compliant digital digitaler faserverstärkter façade fibre learning machine maschinelles mechanisms nachgiebige photo plastic pneumatic pneumatische reinforced responsive twin voltaic] URL

Mario U. Gaimann, und Miriam Klopotek. Optimal information injection and transfer mechanisms for active matter reservoir computing. arXiv, 2025. [PUMA: (cond-mat.soft), (cs.LG), (nlin.AO), (physics.comp-ph), Adaptation Computational Computer Condensed FOS: Learning Machine Matter Physical Physics Self-Organizing Soft Systems and information manybodyml myown publist sciences sciences,] URL

Mario U. Gaimann, und Miriam Klopotek. Robustly optimal dynamics for active matter reservoir computing. arXiv, 2025. [PUMA: (cond-mat.soft), (cs.LG), (nlin.AO), (physics.comp-ph), Adaptation Computational Computer Condensed FOS: Learning Machine Matter Physical Physics Self-Organizing Soft Systems and information manybodyml myown publist sciences sciences,] URL

Saied Ramedani, Ebru Kelesoglu, Norman Stutzig, Hendrik Von Tengg‐Kobligk, Keivan Daneshvar Ghorbani, und Tobias Siebert. Quantification of training‐induced alterations in body composition via automated machine learning analysis of MRI images in the thigh region: A pilot study in young females. In Tobias Siebert (Hrsg.), Physiological Reports, (13)3Wiley, Januar 2025. [PUMA: body composition deep imaging learning machine magnetic medicine musculoskeletal resonance sports system] URL

Huy Viet Le, Sven Mayer, und Niels Henze. InfiniTouch: Finger-Aware Interaction on Fully Touch Sensitive Smartphones. Proceedings of the 31th Annual ACM Symposium on User Interface Software and Technology, ACM, New York, NY, USA, 2018. [PUMA: vis(us) interaction learning machine touchscreen finger-aware vis-sks vis visus:henzens visus:mayersn visus:lehy tiger-generation:638684700229105045] URL

Huy Viet Le, Thomas Kosch, Patrick Bader, Sven Mayer, und Niels Henze. PalmTouch: Using the Palm As an Additional Input Modality on Commodity Smartphones. Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 360:1-360:13, ACM, New York, NY, USA, 2018. [PUMA: vis-sks vis vis(us) smartphone image machine learning palm capacitive visus:lehy visus:baderpk visus:koschts visus:mayersn visus:henzens tiger-generation:638684700229105045] URL

Huy Viet Le, Sven Mayer, Thomas Kosch, und Niels Henze. Demonstrating PalmTouch: The Palm as An Additional Input Modality on Commodity Smartphones. Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, ACM, New York, NY, USA, 2018. [PUMA: vis(us) palm smartphone image learning machine capacitive vis-sks vis visus:henzens visus:mayersn visus:koschts visus:lehy tiger-generation:638684700229105045] URL

Lukas Steinle, Valentin Leipe, Armin Lechler, und Alexander Veri. Learning Compensation of the State-Dependent Transmission Errors in Rack-and-Pinion Drives. 2024 European Control Conference (ECC), 2441-2447, Juni 2024. [PUMA: compensation drive error feed isw learning machine tool]

Duy Minh Ho Nguyen, Hoang Nguyen, Nghiem T Diep, Tan N Pham, Tri Cao, Binh T Nguyen, Paul Swoboda, Nhat Ho, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag, und Mathias Niepert. LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching. Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS 2023), 2023. [PUMA: graph; learning machine] URL

Tim Reeber, Jens Henninger, Niklas Weingarz, Peter M. Simon, Maximilian Berndt, Moritz Glatt, Benjamin Kirsch, Rocco Eisseler, Jan C. Aurich, und Hans Christian Möhring. Tool condition monitoring in drilling processes using anomaly detection approaches based on control internal data. Procedia CIRP, (121):216–221, Elsevier BV, 2024. [PUMA: analysis anomaly condition detection learning machine machining manufacturing monitoring networks neural process series time tool] URL

Alexander Verl, und Lukas Steinle. Adaptive compensation of the transmission errors in rack-and-pinion drives. In CIRP Annals Manufacturing Technology (Hrsg.), CIRP Annals, (71)1:345--348, Elsevier BV, 2022. [PUMA: Compensation Feed Learning Machine drive tool] URL

Marie Davidová, und Yannis Zavoleas. Post-Anthropocene: The Design after the Human Centered Design Age. In Dominik Holzer, Walaiporn Nakapan, Anastasia Globa, und Immanuel Koh (Hrsg.), CAADRIA 2020: Re:Anthropocene - Design in the Age of Humans, (2):203-212, Association for Computer Aided Architectural Design in Asia, 2020. [PUMA: approach architetural biodiversity learning machine morre-than-human myown performance post-Anthropocene systemic to urban] URL

Marie Davidová, Karel Pánek, und Michaela Pánková. Spiralling Slope as a Real Life Co-Design Laboratory. In Jonathan Bean, Susannah Dickinson, und Aletheia Ida (Hrsg.), 133-142, University of Arizona, 2018. [PUMA: biodiversity codesign ecosystem gigamapping learning life machine myown performance] URL

Karel Pánek, und Marie Davidová. sysloop. In Jonathan Bean, Susannah Dickinson, und Aletheia Ida (Hrsg.), 132-141, University of Arizona, 2018. [PUMA: architecture codesign intelligent learning machine myown responsive systems] URL

Andrés Marafioti, Michel Hayoz, Mathias Gallardo, Pablo Márquez Neila, Sebastian Wolf, Martin Zinkernagel, und Raphael Sznitman. CataNet: Predicting remaining cataract surgery duration. MICCAI 2021, 2021. [PUMA: cataract duration learning machine prediction surgery] URL

Carly R. Garrow, Karl-Friedrich Kowalewski, Linhong Li, Martin Wagner, Mona W. Schmidt, Sandy Engelhardt, Daniel A. Hashimoto, Hannes G. Kenngott, Sebastian Bodenstedt, Stefanie Speidel, Beat P. Müller-Stich, und Felix Nickel. Machine Learning for Surgical Phase Recognition. Annals of Surgery, (273)4:684--693, Ovid Technologies (Wolters Kluwer Health), November 2020. [PUMA: Learning Machine Phase Recognition Surgical] URL