Publications

Wolfgang Kircheis, Marion Schmidt, Arno Simons, Benno Stein, und Martin Potthast. Mining the History Sections of Wikipedia Articles on Science and Technology. 2023 ACM/IEEE Joint Conference on Digital Libraries (JCDL), 200-204, 2023. [PUMA: Disputes Encyclopedias Filtering Focusing Innovation Internet Libraries Priority Science Studies Technological Technology Transforms Wikipedia Zno and innovation]

Oliver Kirsten, Martin Bogdan, und 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]

Andre de Carvalho, Robson Bonidia, Jude Dzevela Kong, Mariana Dauhajre, Claudio Struchiner, Guilherme Goedert, Peter F. Stadler, Maria Emilia Walter, Danilo Sanches, Troy Day, Marcia Castro, John Edmunds, Manuel Colome-Hidalgo, Demian Arturo Herrera Morban, Edian F. Franco, Cesar Ugarte-Gil, Patricia Espinoza-Lopez, Gabriel Carrasco-Escobar, und Ulisses Rocha. Democratising Artificial Intelligence for Pandemic Preparedness and Global Governance in Latin American and Caribbean Countries. arXiv, 2024. [PUMA: Artificial Computer FOS Intelligence Zno and information sciences] URL

Tom Richard Vargis, und Siavash Ghiasvand. A Light-weight and Unsupervised Method for Near Real-time Behavioral Analysis using Operational Data Measurement. The International Conference for High Performance Computing, Networking, Storage, and Analysis, Dallas, Texas, USA, Januar 2022. [PUMA: Cluster Computer Computing, Distributed, Learning Machine Parallel, Science and myOwn] URL

Tom Richard Vargis, und Siavash Ghiasvand. Content-Aware Depth-Adaptive Image Restoration. Proceedings of the 29th International Conference on Automation and Computing, Sunderland, UK, Januar 2024. [PUMA: Computer Learning, Machine Pattern Recognition, Science Vision and myOwn] URL

Oscar J. Pellicer-Valero, Miguel-Ángel Fernández-Torres, Chaonan Ji, Miguel D. Mahecha, und Gustau Camps-Valls. Explainable Earth Surface Forecasting under Extreme Events. arXiv, 2024. [PUMA: (cs.LG), Computer FOS: Learning Machine and information sciences sciences, topic_earthenvironment] URL

Aryaman Gupta, Ulrik Günther, Pietro Incardona, Guido Reina, Steffen Frey, Stefan Gumhold, und Ivo F. Sbalzarini. Efficient Raycasting of View-Dependent Piecewise Constant Representations of Volumetric Data. 17.06.2022. [PUMA: FIS_scads Human-centered Visualization Visualization, and computing, concepts paradigms, techniques theory, topic_lifescience topic_visualcomputing xack]

Lucas Lange, Maurice-Maximilian Heykeroth, und Erhard Rahm. Assessing the Impact of Image Dataset Features on Privacy-Preserving Machine Learning. arXiv preprint arXiv:2409.01329, arXiv, September 2024. [PUMA: (cs.CR), (cs.CV), (cs.LG), Computer Cryptography FOS: Learning Machine Pattern Recognition Security Vision and area_bigdata area_responsibleai ep information sciences xack yaff]

Suryanarayana Maddu, Bevan L. Cheeseman, Ivo F. Sbalzarini, und Christian L. Müller. Stability selection enables robust learning of partial differential equations from limited noisy data. arXiv, 2019. [PUMA: (cs.LG), (math.NA), (physics.data-an), Analysis Analysis, Computer Data FOS: Learning Machine Mathematics, Numerical Physical Probability Statistics and information sciences sciences,] URL

Souhrid Mukherjee, Thomas A. Cassini, Ningning Hu, Tao Yang, Bian Li, Wangzhen Shen, Christopher W. Moth, David C. Rinker, Jonathan H. Sheehan, Joy D. Cogan, John H. Newman, Rizwan Hamid, Robert L. Macdonald, Dan M. Roden, Jens Meiler, Georg Kuenze, John A. Phillips, und John A. Capra. Personalized structural biology reveals the molecular mechanisms underlying heterogeneous epileptic phenotypes caused by de novo KCNC2 variants. Human Genetics and Genomics Advances, (3)4:100131, 2022. [PUMA: topic_lifescience DEE, Diseases KCNC2, Network, Undiagnosed and biology, developmental disease dynamics electrophysiology, encephalopathy, epileptic interpretation, molecular personalized rare simulations, structural variant variant,] URL

Matti Wiegmann, Jennifer Rakete, Magdalena Wolska, Benno Stein, und Martin Potthast. If there's a Trigger Warning, then where's the Trigger? Investigating Trigger Warnings at the Passage Level. arXiv, 2024. [PUMA: topic_language (cs.CL), (cs.CY), Computation Computer Computers FOS: Language Society and information sciences sciences,] URL

André Petermann, Martin Junghanns, Stephan Kemper, Kevin Gómez, Niklas Teichmann, und Erhard Rahm. Graph Mining for Complex Data Analytics. 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW), 1316--1319, Dezember 2016. [PUMA: Data Intelligence Mining;Business algorithms;Conferences;Graph analysis;Data and design mining;Business;Algorithm models;Libraries;Partitioning]

Kim Breitwieser, Allison Lahnala, Charles Welch, Lucie Flek, und Martin Potthast. Modeling Proficiency with Implicit User Representations. arXiv, 2021. [PUMA: (cs.CL), Computation Computer FOS: Language and information sciences sciences,] URL

Scarlet Brockmoeller, Amelie Echle, Narmin Ghaffari Laleh, Susanne Eiholm, Marie Louise Malmstrøm, Tine Plato Kuhlmann, Katarina Levic, Heike Irmgard Grabsch, Nicholas P West, Oliver Lester Saldanha, Katerina Kouvidi, Aurora Bono, Lara R Heij, Titus J Brinker, Ismayil Gögenür, Philip Quirke, und Jakob Nikolas Kather. Deep learning identifies inflamed fat as a risk factor for lymph node metastasis in early colorectal cancer. J. Pathol., (256)3:269--281, Wiley, März 2022. [PUMA: topic_lifescience AI; LNM adipose and artificial biomarker; bowel cancer; colorectal deep digital early inflamed intelligence; learning; metastasis; new pT1 pT2 pathology; prediction predictive tissue;]

David Nam, Julius Chapiro, Valerie Paradis, Tobias Paul Seraphin, und Jakob Nikolas Kather. Artificial intelligence in liver diseases: Improving diagnostics, prognostics and response prediction. JHEP Rep., (4)4:100443, Elsevier BV, April 2022. [PUMA: topic_lifescience AI, Artificial CNN, Communications DICOM, Diagnosis; Digital HCC, Imaging Individual ML, MVI, Medicine; NAFLD, NASH, Prognosis Reporting TACE, TRIPOD, Transparent WSIs, a and artificial carcinoma; chemoembolisation; convolutional data deep diagnostic disease; fatty for hepatocellular images; imaging; in integration intelligence; invasion; learning; liver machine microvascular model multimodal multivariable network; neural non-alcoholic of or prediction slide steatohepatitis; support system; transarterial whole]

Marianne Maktabi, Hannes Köhler, Magarita Ivanova, Thomas Neumuth, Nada Rayes, Lena Seidemann, Robert Sucher, Boris Jansen-Winkeln, Ines Gockel, Manuel Barberio, und Claire Chalopin. Classification of hyperspectral endocrine tissue images using support vector machines. Int. J. Med. Robot., (16)5:1--10, Wiley, Oktober 2020. [PUMA: and assisted computer guided head imaged imaging; intraoperative neck; surgery; thyroidectomy]

Jan Gaebel, Hans-Georg Wu, Alexander Oeser, Mario A Cypko, Matthaeus Stoehr, Andreas Dietz, Thomas Neumuth, Stefan Franke, und Steffen Oeltze-Jafra. Modeling and processing up-to-dateness of patient information in probabilistic therapy decision support. Artif. Intell. Med., (104)101842:101842, Elsevier BV, April 2020. [PUMA: Arden Decision Head Medical Therapy and decision delay; logic model modules; neck oncology; support syntax; system;]