Publications

Patrick Ebel, Rochelle Schneider, Massimo Bonavita, Mariana Clare, Anna Jungbluth, Maryam Pourshamsi, Matthew Chantry, Mihai Alexe, Alessandro Sebastianelli, and Marcin Chrust. 2024 ESA-ECMWF workshop report: current status, progress and opportunities in machine learning for Earth system observation and prediction. npj Climate and Atmospheric Science, (7)1:241, Oct 9, 2024. [PUMA: imported Zno] URL

43rd International Conference on IR Research (ECIR 2021). In Djoerd Hiemstra, Marie-Francine Moens, Josiane Mothe, Raffaele Perego, Martin Potthast, and Fabrizio Sebastiani (Eds.), Lecture Notes in Computer Science, (12656)Springer, Berlin Heidelberg New York, April 2021. [PUMA: ECIR 43rd IR Research Conference 2021 Zno International]

J. N’Dow, E.J. Smith, K. Polychronopoulos, A. Cannon, M. Roobol, S. Auweter, M. Thomas, A. Kremer, B. De Meulder, D. Dellamonica, D.P. Alhambra, A. Asiimwe, M. Bussmann, X. Ji, P. Torremante, S. Keller, F. Kube, and H. Krueger. 917P OPTIMA: Improve care for patients with prostate, breast, and lung cancer through artificial intelligence. Annals of Oncology, (33):S966, Elsevier BV, September 2022. [PUMA: imported OPTIMA 917P Zno] URL

Johannes Kiesel, Fabienne Hubricht, Benno Stein, and Martin Potthast. A Dataset for Content Error Detection in Web Archives. In Maria Bonn, Stephen J. Downie, Alain Martaus, and Dan Wu (Eds.), 18th ACM/IEEE Joint Conference on Digital Libraries (JCDL 2019), 349--350, ACM, June 2019. [PUMA: Web Error Content Dataset Zno Archives Detection]

Martin Potthast, Paolo Rosso, Efstathios Stamatatos, and Benno Stein. A Decade of Shared Tasks in Digital Text Forensics at PAN. In Leif Azzopardi, Benno Stein, Norbert Fuhr, Philipp Mayr, Claudia Hauff, and Djoerd Hiemstra (Eds.), Advances in Information Retrieval. 41st European Conference on IR Research (ECIR 2019), (11438):291--300, Springer, Berlin Heidelberg New York, April 2019. [PUMA: Tasks Digital Decade Forensics Text Zno PAN Shared]

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: framework malevolence collaborative evaluating Zno human-machine]

Ni Li, Wim Thiery, Jakob Zscheischler, Gabriele Messori, Liane Guillou, Joakim Nivre, Olof Görnerup, Seppe Lampe, Clare Flynn, Mariana Madruga de Brito, and Aglae Jezequel. A new climate impact database using generative AI. Copernicus GmbH, November 2024. [PUMA: zno] URL

Michael Gleicher, Maria Riveiro, Tatiana von Landesberger, Oliver Deussen, Remco Chang, Christina Gillman, and Theresa-Marie Rhyne. A problem space for designing visualizations. IEEE Comput. Graph. Appl., (43)4:111--120, July 2023. [PUMA: problem visualizations designing Zno space]

Accelerator Programming Using Directives: 8th International Workshop, WACCPD 2021, Virtual Event, November 14, 2021, Proceedings. In Sridutt Bhalachandra, Christopher Daley, and Verónica Melesse Vergara (Eds.), Springer-Verlag, Berlin, Heidelberg, 2021. [PUMA: imported WACCPD Programming 2021 Zno Accelerator]

Anshu Ankolekar, Sebastian Boie, Maryam Abdollahyan, Emanuela Gadaleta, Seyed Alireza Hasheminasab, Guang Yang, Charles Beauville, Nikolaos Dikaios, George Anthony Kastis, Michael Bussmann, Sara Khalid, Hagen Kruger, Philippe Lambin, and Giorgos Papanastasiou. Advancing oncology with federated learning: transcending boundaries in breast, lung, and prostate cancer. A systematic review. 2024. [PUMA: imported Zno] URL

Reza Nicknam, Seyyed Rouhollah Hadj Zargarbashi, and Abtin Safavipour. AI Development in Germany After the Publication of German Nation AI Strategy, Problems and Solutions. Journal of Humanities and Education Development, (6)5:68–81, AI Publications, 2024. [PUMA: imported Zno] URL

Peer-Timo Bremer, Brian Spears, Tom Gibbs, and Michael Bussmann. AI-Augmented Facilities: Bridging Experiment and Simulation with ML (Dagstuhl Seminar 23132). Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2023. [PUMA: imported AI-Augmented Zno Facilities] URL

Andreas Maletti, Teodora Nasz, Kevin Stier, and Markus Ulbricht. Ambiguity hierarchies for weighted tree automata. Int. J. Found. Comput. Sci., (34)08:903--921, World Scientific Pub Co Pte Ltd, December 2023. [PUMA: automata hierarchies tree Zno weighted Ambiguity]

Wael Elwasif, William Godoy, Nick Hagerty, J. Austin Harris, Oscar Hernandez, Balint Joo, Paul Kent, Damien Lebrun-Grandie, Elijah Maccarthy, Veronica Melesse Vergara, Bronson Messer, Ross Miller, Sarp Oral, Sergei Bastrakov, Michael Bussmann, Alexander Debus, Klaus Steiniger, Jan Stephan, Rene Widera, Spencer Bryngelson, Henry Le Berre, Anand Radhakrishnan, Jeffrey Young, Sunita Chandrasekaran, Florina Ciorba, Osman Simsek, Kate Clark, Filippo Spiga, Jeff Hammond, Stone John, David Hardy, Sebastian Keller, Jean-Guillaume Piccinali, and Christian Trott. Application Experiences on a GPU-Accelerated Arm-based HPC Testbed. Proceedings of the HPC Asia 2023 Workshops, 35–49, Association for Computing Machinery, New York, NY, USA, 2023. [PUMA: imported Zno] URL

Sophie Adama, and Martin Bogdan. Application of soft-clustering to assess consciousness in a CLIS patient. Brain Sci., (13)1:65, MDPI AG, December 2022. [PUMA: complexity electrocorticogram consciousness spectral analysis extraction features syndrome connectivity completely locked-in zno soft-clustering]

Martin Potthast, Lukas Gienapp, Florian Euchner, Nick Heilenkötter, Nico Weidmann, Henning Wachsmuth, Benno Stein, and Matthias Hagen. Argument Search: Assessing Argument Relevance. 42nd International ACM Conference on Research and Development in Information Retrieval (SIGIR 2019), ACM, July 2019. [PUMA: Relevance Argument Search Assessing Zno]

Prakash Gondode, Sakshi Duggal, and Vaishali Mahor. Artificial intelligence hallucinations in anaesthesia: Causes, consequences and countermeasures. Indian Journal of Anaesthesia, (68)7:658–661, Medknow, June 2024. [PUMA: imported Zno] URL

Sophie Adama, and Martin Bogdan. Assessing consciousness in patients with disorders of consciousness using soft-clustering. Brain Inform., (10)1:16, July 2023. [PUMA: Electroencephalogram Consciousness consciousness Disorders analysis Complexity Soft-clustering interface Brain-computer Connectivity Zno Spectral]

Siavash Ghiasvand, and Florina M. Ciorba. Assessing Data Usefulness for Failure Analysis in Anonymized System Logs. Proceedings of the 17th International Symposium on Parallel and Distributed Computing (ISPDC), 164--171, Geneva, Switzerland, June 2018. [PUMA: zno]

Brian Edward Marré, Ulrich Schramm, Michael Bussmann, Thomas Kluge, Thomas Cowan, René Widera, Sergei Bastrakov, and Axel Huebl. Atomic population kinetics for Particle in Cell. 2023. [PUMA: imported Atomic Zno population kinetics]

Maksim Kukushkin, Martin Bogdan, and Thomas Schmid. BiCAE -- A Bimodal Convolutional Autoencoder for Seed Purity Testing. In Albert Bifet, Tomas Krilavicius, Ioanna Miliou, and Slawomir Nowaczyk (Eds.), Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 447--462, Springer Nature Switzerland, Cham, 2024. [PUMA: Convolutional Testing Autoencoder Seed Purity Bimodal Zno BiCAE]

Robson P Bonidia, Anderson P Avila Santos, Breno L S de Almeida, Peter F Stadler, Ulisses N da Rocha, Danilo S Sanches, and André C P L F de Carvalho. BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria. Briefings in Bioinformatics, (23)4Oxford University Press (OUP), June 2022. [PUMA: BioAutoML noncoding bacteria metalearning predict engineering RNAs Zno automated] URL

Anderson P. Avila Santos, Breno L. S. de Almeida, Robson P. Bonidia, Peter F. Stadler, Polonca Stefanic, Ines Mandic-Mulec, Ulisses Rocha, Danilo S. Sanches, and André C.P.L.F. de Carvalho. BioDeepfuse: a hybrid deep learning approach with integrated feature extraction techniques for enhanced non-coding RNA classification. RNA Biology, (21)1:410–421, Informa UK Limited, March 2024. [PUMA: deep RNA non-coding feature learning Zno extraction BioDeepfuse classification] URL

M. D. Mahecha, A. Bastos, F. J. Bohn, N. Eisenhauer, H. Feilhauer, T. Hickler, H. Kalesse‐Los, M. Migliavacca, F. E. L. Otto, J. Peng, S. Sippel, I. Tegen, A. Weigelt, M. Wendisch, C. Wirth, D. Al‐Halbouni, H. Deneke, D. Doktor, S. Dunker, G. Duveiller, A. Ehrlich, A. Foth, A. García‐García, C. A. Guerra, C. Guimarães‐Steinicke, H. Hartmann, S. Henning, H. Herrmann, P. Hu, C. Ji, T. Kattenborn, N. Kolleck, M. Kretschmer, I. Kühn, M. L. Luttkus, M. Maahn, M. Mönks, K. Mora, M. Pöhlker, M. Reichstein, N. Rüger, B. Sánchez‐Parra, M. Schäfer, F. Stratmann, M. Tesche, B. Wehner, S. Wieneke, A. J. Winkler, S. Wolf, S. Zaehle, J. Zscheischler, and J. Quaas. Biodiversity and Climate Extremes: Known Interactions and Research Gaps. Earth’s Future, (12)6American Geophysical Union (AGU), June 2024. [PUMA: zno] URL

Wolfgang Lehner, Kai-Uwe Sattler, and Johann-Christoph Freytag. BTW2021 erstmals als digitale Vortragsreihe. Datenbank-Spektrum, (22)1:67--71, Mar 1, 2022. [PUMA: imported zno] URL

Maksim Kukushkin, Matthias Enders, Reinhard Kaschuba, Martin Bogdan, and Thomas Schmid. Canola seed or not? Autoencoder-based Anomaly Detection in AgriculturalSeedProduction. INFORMATIK 2023 - Designing Futures: Zukünfte gestalten, 1645--1652, Gesellschaft für Informatik e.V., Bonn, 2023. [PUMA: Autoencoder Production Seed Agricultural Anomaly Zno Detection]

Angel Garcia-Chung, Marisol Bermúdez-Montaña, Peter F. Stadler, Jürgen Jost, and Guillermo Restrepo. Chemically inspired Erdős–Rényi hypergraphs. Journal of Mathematical Chemistry, (62)6:1357–1383, Springer Science and Business Media LLC, April 2024. [PUMA: hypergraphs Erdős–Rényi Zno] URL

Sophie Wolf, Miguel D. Mahecha, Francesco Maria Sabatini, Christian Wirth, Helge Bruelheide, Jens Kattge, Álvaro Moreno Martínez, Karin Mora, and Teja Kattenborn. Citizen science plant observations encode global trait patterns. Nature Ecology & Evolution, (6)12:1850–1859, Springer Science and Business Media LLC, October 2022. [PUMA: zno] URL

Marc Hellmuth, David Schaller, and Peter F. Stadler. Clustering systems of phylogenetic networks. Theory in Biosciences, (142)4:301–358, Springer Science and Business Media LLC, August 2023. [PUMA: systems Clustering phylogenetic Zno networks] URL

Ameera Vaheeda Shanavas, Manoj Changat, Marc Hellmuth, and Peter F. Stadler. Clusters and Unique Least Common Ancestors in Directed Acyclic Graphs. Research Square Platform LLC, March 2024. [PUMA: Ancestors Directed Acyclic Least Graphs Zno Common] URL

Marc Hellmuth, David Schaller, and Peter F. Stadler. Compatibility of partitions with trees, hierarchies and split systems. Discrete Applied Mathematics, (314):265–283, Elsevier BV, June 2022. [PUMA: partitions with hierarchies Zno trees] URL

Tom Hartmann, Max Bannach, Martin Middendorf, Peter F. Stadler, Nicolas Wieseke, and Marc Hellmuth. Complete edge-colored permutation graphs. Advances in Applied Mathematics, (139):102377, Elsevier BV, August 2022. [PUMA: graphs edge-colored Zno permutation] URL

Hope Woods, Dominic L Schiano, Jonathan I Aguirre, Kaitlyn V Ledwitch, Eli F McDonald, Markus Voehler, Jens Meiler, and Clara T Schoeder. Computational modeling and prediction of deletion mutants. Structure, (31)6:713--723.e3, Elsevier BV, June 2023. [PUMA: mutation domain NMR AlphaFold Deletion Zno Modeling Rosetta indel SAM]

Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, and others. CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. arXiv preprint arXiv:2303.06274, (92):103047, 2023. [PUMA: Nuclear_recognition Computational_pathology ML_Spatial_Understanding Deep_learning Zno] URL

Patrick Stiller, Varun Makdani, Franz Pöschel, Richard Pausch, Alexander Debus, Michael Bussmann, and Nico Hoffmann. Continual learning autoencoder training for a particle-in-cell simulation via streaming. 2022. [PUMA: imported autoencoder particle-in-cell simulation learning training Zno Continual] URL

Anahy Santiago Arguello, Guillaume E. Scholz, and Peter F. Stadler. Core Potentials: The Consensus Segmentation Conjecture. Mathematics in Computer Science, (18)4Springer Science and Business Media LLC, October 2024. [PUMA: Potentials Conjecture Segmentation Zno Core Consensus] URL

Ricardo Knauer, and Erik Rodner. Cost-Sensitive Best Subset Selection for Logistic Regression: A Mixed-Integer Conic Optimization Perspective. KI 2023: Advances in Artificial Intelligence: 46th German Conference on AI, Berlin, Germany, September 26--29, 2023, Proceedings, 114--129, Springer-Verlag, Berlin, Heidelberg, 2023. [PUMA: mixed-integer selection optimization meta-learning machine learning Zno conic interpretable cost-sensitive best subset]

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, and Ulisses Rocha. Democratising Artificial Intelligence for Pandemic Preparedness and Global Governance in Latin American and Caribbean Countries. arXiv, 2024. [PUMA: sciences Artificial Intelligence and FOS Computer Zno information] URL

Lisa Fiedler, Matthias Bernt, Martin Middendorf, and Peter F. Stadler. Detecting gene breakpoints in noisy genome sequences using position-annotated colored de-Bruijn graphs. BMC Bioinformatics, (24)1Springer Science and Business Media LLC, June 2023. [PUMA: genome graphs de-Bruijn gene breakpoints Zno position-annotated noisy] URL

W Elwasif, S Bastrakov, Spencer H Bryngelson, Michael Bussmann, Sunita Chandrasekaran, F Ciorba, Michael A Clark, Alexander Debus, W Godoy, Nick Hagerty, and others. Early application experiences on a modern GPU-accelerated Arm-based HPC platform. HPC Asia, (23)2022. [PUMA: modern Early GPU-accelerated application Arm-based HPC Zno experiences platform]

Franz Baader, Patrick Koopmann, Friedrich Michel, Anni-Yasmin Turhan, and Benjamin Zarriess. Efficient TBox Reasoning with Value Restrictions Using the ℱℒower Reasoner. In O. Arieli, M. Homola, J.C. Jung, and M.-L. Mugnier (Eds.), DL 2022 - Proceedings of the 35th International Workshop on Description Logics, co-located with Federated Logic Conference, FLoC 2022, (3263)CEUR-WS, 2022. [PUMA: imported zno]

Jeremy J. Williams, Daniel Medeiros, Stefan Costea, David Tskhakaya, Franz Poeschel, René Widera, Axel Huebl, Scott Klasky, Norbert Podhorszki, Leon Kos, Ales Podolnik, Jakub Hromadka, Tapish Narwal, Klaus Steiniger, Michael Bussmann, Erwin Laure, and Stefano Markidis. Enabling High- Throughput Parallel I/O in Particle-in-Cell Monte Carlo Simulations with openPMD and Darshan I/O Monitoring. 2024 IEEE International Conference on Cluster Computing Workshops (CLUSTER Workshops), 86-95, September 2024. [PUMA: imported Zno]

Marco Hannemann, Almudena Garc\'ıa-Garc\'ıa, Rafael Poyatos, Miguel D Mahecha, and Jian Peng. Estimating transpiration globally by integrating the Priestley-Taylor model with neural networks. Environ. Res. Lett., (19)11:114089, IOP Publishing, November 2024. [PUMA: zno]

George Markomanolis, Aksel Alpay, Jeffrey Young, Michael Klemm, Nicholas Malaya, Aniello Esposito, Jussi Heikonen, Sergei Bastrakov, Alexander Debus, Thomas Kluge, Klaus Steiniger, Jan Stephan, Rene Widera, and Michael Bussmann. Evaluating GPU Programming Models for the LUMI Supercomputer. 79-101, January 2022. [PUMA: Supercomputer LUMI Programming GPU Zno]

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: models Consciousness Prediction Syndrome Predictive processing modeling Theory algorithms data learning Information Modeling Complexity Processing Machine Learning Training Neuroscience Measures and Locked-In Zno Signal Computational]

Cristian A. Velandia-Huerto, Ali M. Yazbeck, Jana Schor, and Peter F. Stadler. Evolution and Phylogeny of MicroRNAs — Protocols, Pitfalls, and Problems. miRNomics, 211–233, Springer US, February 2012. [PUMA: MicroRNAs Evolution Phylogeny Zno] URL

Franziska Reinhardt, Anette Kaiser, Simone Prömel, and Peter F. Stadler. Evolution of neuropeptide Y/RFamide-like receptors in nematodes. Heliyon, (10)14:e34473, Elsevier BV, July 2024. [PUMA: receptors neuropeptide Evolution nematodes Zno Y/RFamide-like] URL

Jose Antonio Corona-Gomez, Peter F. Stadler, and Selene L. Fernandez-Valverde. Evolutionary conservation of secondary structures in the lncRNAs of plants. Cold Spring Harbor Laboratory, August 2023. [PUMA: lncRNAs conservation secondary Evolutionary structures zno] URL

Franziska Reinhardt, and Peter F. Stadler. ExceS-A: an exon-centric split aligner. Journal of Integrative Bioinformatics, (19)1Walter de Gruyter GmbH, March 2022. [PUMA: split ExceS-A zno exon-centric aligner] URL

Oscar J. Pellicer-Valero, Miguel-Ángel Fernández-Torres, Chaonan Ji, Miguel D. Mahecha, and Gustau Camps-Valls. Explainable Earth Surface Forecasting under Extreme Events. arXiv, 2024. [PUMA: zno] URL