Publications

Beth Russell, Katharina Beyer, Ailbhe Lawlor, Monique J. Roobol, Lionne D.F. Venderbos, Sebastiaan Remmers, Erik Briers, Sara J. MacLennan, Steven MacLennan, Muhammad Imran Omar, Mieke Van Hemelrijck, Emma Smith, James N’Dow, Karin Plass, Maria Ribal, Nicolas Mottet, Robert Shepherd, Tom Abbott, Ken Mastris, Lisa Moris, Michael Lardas, Thomas Van den Broeck, Peter-Paul Willemse, Nicola Fossati, Karl Pang, Riccardo Campi, Isabella Greco, Mauro Gacci, Sergio Serni, Anders Bjartell, Ragnar Lonnerbro, Alberto Briganti, Daniele Crosti, Roberto Garzonio, Giorgio Gandaglia, Martina Faticoni, Grant office, Chris Bangma, Maria Jongerden, Derya Tilki, Anssi Auvinen, Teemu Murtola, Tapio Visakorpi, Kirsi Talala, Teuvo Tammela, Aino Siltari, Stephane Lejeune, Laurence Colette, Simona Caputova, Delielena Poli, Sophie Byrne, Luz Fialho, Ashley Rowland, Neo Tapela, Nicola Di Flora, Kathi Apostolidis, Valerie Lemair, Bertrand De Meulder, Charles Auffray, Nesrine Taibi, Ayman Hijazy, Albert Saporta, Kai Sun, Shaun Power, Nazanin Zounemat Kermani, Kees van Bochove, Azadeh Tafreshiha, Chiara Bernini, Denis Horgan, Louise Fullwood, Marc Holtorf, Doron Lancet, Gabi Bernstein, Sheela Tripathee, Manfred Wirth, Michael Froehner, Beate Brenner, Angelika Borkowetz, Christian Thomas, Friedemann Horn, Kristin Reiche, Markus Kreuz, Andreas Josefsson, Delila Gasi Tandefelt, Jonas Hugosson, Jack Schalken, Henkjan Huisman, Thomas Hofmarcher, Peter Lindgren, Emelie Andersson, Adam Fridhammar, Monica Tames Grijalva, Susan Evans-Axelsson, Frank Verholen, Jihong Zong, John-Edward Butler-Ransohoff, Todd Williamson, Reg Waldeck, Amanda Bruno, Ekaterina Nevedomskaya, Samuel Fatoba, Niculae Constantinovici, Carl Steinbeisser, Monika Maass, Patrizia Torremante, Emmanuelle Dochy, Federica Pisa, Marc Dietrich Voss, Kishore Papineni, Jing Wang silvanto, Robert Snijder, Xuewei Wang, Mark Lambrecht, Russ Wolfinger, Sherinne Eid, Soundarya Palanisamy, Samiul Haque, Laurent Antoni, Angela Servan, Katie Pascoe, Paul Robinson, Joana Lencart, Bertrand Jaton, Heidi Turunen, Olavi Kilkku, Pasi Pohjanjousi, Olli Voima, Liina Nevalaita, Keijo Punakivi, Sarah Seager, Shilpa Ratwani, Katarzyna Grzeslak, James Brash, Elaine Longden-Chapman, Danny Burke, Muriel Licour, Sarah Payne, Alan Yong, Flavia Lujan, Sophia Le Mare, Jan Hendrich, Michael Bussmann, Juckeland, Kotik, Delielena Poli, and Christian Reich. Survivorship Data in Prostate Cancer: Where Are We and Where Do We Need To Be?. European Urology Open Science, (59):27–29, Elsevier BV, January 2024. [PUMA: Cancer: Data Prostate Survivorship Zno imported] URL

Kimberly E Roche, Johannes R Bjork, Mauna R Dasari, Laura Grieneisen, David Jansen, Trevor J Gould, Laurence R Gesquiere, Luis B Barreiro, Susan C Alberts, Ran Blekhman, Jack A Gilbert, Jenny Tung, Sayan Mukherjee, and Elizabeth A Archie. Universal gut microbial relationships in the gut microbiome of wild baboons. Elife, (12)eLife Sciences Publications, Ltd, May 2023. [PUMA: Zno bacteria between community correlations cynocephalus data disease dynamics ecology gut infectious longitudinal microbiology microbiome microbiota personalization universality] URL

Peter Christen, and Rainer Schnell. Thirty-three myths and misconceptions about population data: from data capture and processing to linkage. Int. J. Popul. Data Sci., (8)1:2115, Swansea University, January 2023. [PUMA: Xack administrative data editing errors linkage personal quality record]

Johannes Frey, Marvin Hofer, and Sebastian Hellmann. Studying Linked Data Accessibility Healthiness for the Long Tail of the Data Web.. QuWeDa/MEPDaW@ ISWC, 55--64, 2023. [PUMA: Accessibility Data Healthiness Linked Long Tail Web Xack]

Lucas Lange, Tobias Schreieder, Victor Christen, and Erhard Rahm. Slice it up: Unmasking user identities in smartwatch health data. 2023. [PUMA: Xack data health smartwatch]

Parvaneh Joharinad, and Jürgen Jost. Mathematical principles of topological and geometric data analysis. Springer International Publishing, Cham, 2023. [PUMA: Mathematical analysis data geometric topological]

Oliver Kirsten, Martin Bogdan, and Sophie Adama. Evaluating the DoC-Forest tool for Classifying the State of Consciousness in a Completely Locked-In Syndrome Patient. 2023 7th International Conference on Imaging, Signal Processing and Communications (ICISPC), 37-41, 2023. [PUMA: Complexity Computational Consciousness Information Learning Locked-In Machine Measures Modeling Neuroscience Prediction Predictive Processing Signal Syndrome Theory Training Zno algorithms and data learning modeling models processing]

Maja Schneider. Distributed, Privacy-Aware Location Data Aggregation. 2024. [PUMA: Aggregation Data Distributed Location Privacy-Aware Xack] URL

Ekaterina Borisova, Raia Abu Ahmad, Georg Rehm, Ricardo Usbeck, Jennifer D’Souza, Markus Stocker, Sören Auer, Judith Gilsbach, Anastasia Wolschewski, Johannes Keller, Daniel Schneider, Thomas Neumuth, and Sonja Schimmler. NFDI4DS Transfer and Application. Gesellschaft für Informatik e.V., 2023. [PUMA: Artificial Data Infrastructures Intelligence NFDI NFDI4DS Research Science Zno] URL

Sonja Schimmler, Bianca Wentzel, Arnim Bleier, Stefan Dietze, Saurav Karmakar, Peter Mutschke, Angelie Kraft, Tilahun A. Taffa, Ricardo Usbeck, Zeyd Boukhers, Sören Auer, Leyla J. Castro, Marcel R. Ackermann, Thomas Neumuth, Daniel Schneider, Ziawasch Abedjan, Atif Latif, Fidan Limani, Raia Abu Ahmad, Georg Rehm, Sima Attar Khorasani, and Matthias Lieber. NFDI4DS Infrastructure and Services. Gesellschaft für Informatik e.V., 2023. [PUMA: Data Infrastructures NFDI NFDI4DS Research Zno] URL

Aris Marcolongo, Mykhailo Vladymyrov, Sebastian Lienert, Nadav Peleg, Sigve Haug, and Jakob Zscheischler. Predicting years with extremely low gross primary production from daily weather data using Convolutional Neural Networks. Environmental Data Science, (1):e2, 2022. [PUMA: Convolutional Networks Neural Predicting data gross low primary production weather]

Markus Bauer, and Christoph Augenstein. Can Unlabelled Data Improve AI Applications? A Comparative Study on Self-Supervised Learning in Computer Vision.. Proceedings of the 18th Conference on Computer Science and Intelligence Systems, (35):93–101, IEEE, September 2023. [PUMA: Comparative Computer Data Learning Self-Supervised Study Unlabelled Vision.] 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, (147):110138, 2024. [PUMA: Convex GAN Imbalanced LoRAS Tabular data learning space] URL

Marzan Tasnim Oyshi, Sebastian Vogt, and Stefan Gumhold. TmoTA: Simple, Highly Responsive Tool for Multiple Object Tracking Annotation. In Albrecht Schmidt, Kaisa Väänänen, EditoTesh Goyal, Per Ola Kristensson, Anicia Peters, Stefanie Mueller, Julie R. Williamson, and Max L. Wilson (Eds.), CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery, Apr 19, 2023. [PUMA: topic_visualcomputing FIS_scads data labeling labeling, manual sequence video] URL

Weizhou Luo, Zhongyuan Yu, Rufat Rzayev, Marc Satkowski, Stefan Gumhold, Matthew McGinity, and Raimund Dachselt. PEARL: Physical Environment based Augmented Reality Lenses for In-Situ Human Movement Analysis. CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, Apr 19, 2023. [PUMA: topic_visualcomputing Analytics, FIS_scads Immersive In-situ affordance, analysis, augmented/mixed data movement physical reality, referents, visualization]

Joel Jonsson, Bevan L. Cheeseman, Suryanarayana Maddu, Krzysztof Gonciarz, and Ivo F. Sbalzarini. Parallel Discrete Convolutions on Adaptive Particle Representations of Images. IEEE Transactions on Image Processing, (31):4197--4212, Wiley-IEEE Press, Jan 1, 2022. [PUMA: topic_lifescience Convolution, Data FIS_scads Image Microscopy, Signal processing, reconstruction, resolution resolution, structures,]

Johannes Gerritzen, Andreas Hornig, and Maik Gude. Graph based process models as basis for efficient data driven surrogates - Expediting the material development process. engrXiv : engineering archive, Open Engineering Inc., Nov 16, 2024. [PUMA: topic_engineering Data FIS_scads Process Surrogate decision development, driven making modeling,]

Elena Williams, Manuel Kienast, Evelyn Medawar, Janis Reinelt, Alberto Merola, Sophie Anne Ines Klopfenstein, Anne Rike Flint, Patrick Heeren, Akira-Sebastian Poncette, Felix Balzer, Nico Scherf, and others. A standardized clinical data harmonization pipeline for scalable ai application deployment (fhir-dhp): Validation and usability study. JMIR Medical Informatics, (11):e43847, JMIR Publications Toronto, Canada, 2023. [PUMA: topic_neuroinspired (fhir-dhp) ai application clinical data deployment harmonization pipeline scalable standardized]

Johannes Gerritzen, Andreas Hornig, Benjamin Gröger, and Maik Gude. A Data Driven Modelling Approach for the Strain Rate Dependent 3D Shear Deformation and Failure of Thermoplastic Fibre Reinforced Composites: Experimental Characterisation and Deriving Modelling Parameters. Journal of Composites Science, (6)10:318, MDPI, 2022. [PUMA: topic_engineering 3D Approach Characterisation Composites Data Deformation Dependent Driven Experimental Failure Fibre Modelling Rate Reinforced Shear Strain Thermoplastic]

Patrick Ebel, Pavlo Bazilinskyy, Angel Hsing-Chi Hwang, Wendy Ju, Hauke Sandhaus, Aravinda Ramakrishnan Srinivasan, Qian Yang, and Philipp Wintersberger. Breaking Barriers: Workshop on Open Data Practices in AutoUI Research. Adjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 227--230, 2023. [PUMA: topic_visualcomputing AutoUI Data Open Practices Research Workshop]