Publications

Eric W Bell, Benjamin P Brown, and Jens Meiler. FakeRotLib: expedient non-canonical amino acid parameterization in Rosetta. Cold Spring Harbor Laboratory, March 2025. [PUMA: FakeRotLib Rosetta nopdf xack] URL

Jüri Keller, Maik Fröbe, Gijs Hendriksen, Daria Alexander, Martin Potthast, Matthias Hagen, and Philipp Schaer. Counterfactual Query Rewriting to Use Historical Relevance Feedback. In Claudia Hauff, Craig Macdonald, Dietmar Jannach, Gabriella Kazai, Franco Maria Nardini, Fabio Pinelli, Fabrizio Silvestri, and Nicola Tonellotto (Eds.), Advances in Information Retrieval, 138--147, Springer Nature Switzerland, Cham, 2025. [PUMA: Feedback Query_Rewriting nopdf]

Martin Lorenz, Jan Hilbert, Philipp Michael Markus Peter Asteriou, Philipp Wintersberger, and Patrick Ebel. Visual Sampling Behavior Does not Explain Risk Perception: A Data-Driven xAI Investigation. Proceedings of the 17th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Association for Computing Machinery, New York, NY, USA, 2025. [PUMA: nopdf] URL

Maik Fröbe, Andrew Parry, Harrisen Scells, Shuai Wang, Shengyao Zhuang, Guido Zuccon, Martin Potthast, and Matthias Hagen. Corpus Subsampling: Estimating the Effectiveness of Neural Retrieval Models on Large Corpora. Advances in Information Retrieval: 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6–10, 2025, Proceedings, Part I, 453–471, Springer-Verlag, Berlin, Heidelberg, 2025. [PUMA: Evaluation Green IR Retrieval nopdf neural] URL

Clemens Witt, and Nadine Bergner. Exploring Problem-Solving-Strategies. Informatics in Schools. Innovative Approaches to Computer Science Teaching and Learning: 17th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives, ISSEP 2024, Budapest, Hungary, October 28–30, 2024, Proceedings, (15228)732025. [PUMA: nopdf]

Frank Cichos, Santiago Muiños Landin, and Ravi Pradip. Chapter 5 - Artificial intelligence (AI) enhanced nanomotors and active matter. In Yuebing Zheng, and Zilong Wu (Eds.), Intelligent Nanotechnology, 113-144, Elsevier, 2023. [PUMA: Active_particles Feedback_control Machine_learning Multi_agent_reinforcement_learning Optical_control Reinforcement_learning nopdf] URL

Robert Haase, Michael Andreeff, and Nasreddin Abolmaali. On the Reliability of Automatic Volume Delineation in Low-Contrast 18 F FMISO-PET Imaging. Molecular Radio-Oncology, 175--187, Springer Berlin Heidelberg, 2016. [PUMA: nopdf]

Robert Haase. The Fiji Updater, My favorite image analysis tool, by Neubias members. Imaging and Microscopy, March 2021Wiley Analytical Science, 2021. [PUMA: nopdf]

A Dietrich, R Buetof, A Fursov, F Tillner, S Loeck, R Haase, M Baumann, and M Krause. Image Guided orthotopic Tumor Models in Small Animals. STRAHLENTHERAPIE UND ONKOLOGIE, (191):S24--S25, 2015. [PUMA: nopdf]

Robert Haase. Optimisation and Validation of a Swarm Intelligence Based Segmentation Algorithm for Low Contrast Positron Emission Tomography. 2014. [PUMA: nopdf]

R Haase, R Perrin, K Zöphel, H-J Böhme, N Abolmaali, and others. Swarm intelligence allows automatic volume analysis basing on low contrast 18 F-fluoromisonidazole-PET of head and neck cancer patients. 2013. [PUMA: nopdf]

R Haase, Klaus Zöphel, Michael Andreeff, Jörg Steinbach, Jörg Kotzerke, and N Abolmaali. Usefulness of voxel-wise Pearson correlation coefficient for reproducibility and repeatability measurements in PET. Nuklearmedizin, 2012. [PUMA: nopdf]

Josefine Umlauft, Philippe Roux, Albanne Lecointre, Florent Gimbert, Ugo Nanni, Andrea Walpersdorf, Bertrand Rouet-LeDuc, Claudia Hulbert, Daniel Trugman, and Paul Johnson. Mapping Glacier Basal Sliding with Beamforming and Artificial Intelligence. EGU General Assembly Conference Abstracts, EGU22--6948, 2022. [PUMA: nopdf]

Siavash Ghiasvand, and Florina M Ciorba. Automatic Classification of System Logs. International Supercomputing Conference, Frankfurt, Germany, June 2018. [PUMA: nopdf]

Marie-Sophie von Braun, Kristin Starke, Lucas Peter, Daniel Kürsten, Florian Welle, Hans Ralf Schneider, Max Wawrzyniak, Daniel P O Kaiser, Gordian Prasse, Cindy Richter, Elias Kellner, Marco Reisert, Julian Klingbeil, Anika Stockert, Karl-Titus Hoffmann, Gerik Scheuermann, Christina Gillmann, and Dorothee Saur. Prediction of tissue and clinical thrombectomy outcome in acute ischaemic stroke using deep learning. In Masud Husain (Eds.), Brain, awaf013, January 2025. [PUMA: biomarker cdss cnn computer_vision deep_learning neuroimaging neurology nopdf topic_lifescience xack yaff] URL

Melanie Brandmeier, and Eya Cherif. Taking the pulse of the Amazon rainforest by fusing multitemporal Sentinel 1 and 2 data for advanced deep-learning. EGU General Assembly Conference Abstracts, EGU21-3749, 2021. [PUMA: nopdf]

Siavash Ghiasvand, and Florina M Ciorba. Event Pattern Identification in Anonymized System Logs. International Supercomputing Conference (ISC), Frankfurt, Germany, June 2017. [PUMA: nopdf]

Tais Maria Nunes Carvalho, Francisco De Assis de Souza Filho, and Marcos Abilio Medeiros de Saboia. Performance of rainwater tanks for runoff reduction under climate change scenarios: a case study in Brazil. Urban Water Journal, (17)10:912-922, Taylor & Francis, 2020. [PUMA: nopdf]

Peter F Stadler, and Jörg Fallmann. Deutsches Netzwerk für Bioinformatik Infrastruktur, de. NBI, RNA Bioinformatics Center-Leipzig. Professur für Bioinformatik, Institut für Informatik, Universität Leipzig, 2022. [PUMA: Bioinformatics Bioinformatik Infrastruktur Netzwerk RNA nopdf zno]

Benjamin Gallusser, and Martin Weigert. Trackastra: Transformer-based cell tracking for live-cell microscopy. European Conference on Computer Vision, 467--484, 2024. [PUMA: ML_Spatial_Understanding imported nopdf]

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: 2021 Accelerator Programming WACCPD imported nopdf zno]

Deborah Oliveros, Érika Roldán, Pablo Soberón, and Antonio J Torres. Tverberg Partition Graphs. SIAM Journal on Discrete Mathematics, (39)2:863--880, 2025. [PUMA: Partition Tverberg nopdf graphs]

Parvaneh Joharinad, and Jürgen Jost. Topological foundations, hypercomplexes and homology. Mathematics of Data, 15--64, Springer International Publishing, Cham, 2023. [PUMA: Topological foundations homology hypercomplexes nopdf]

Parvaneh Joharinad, and Jürgen Jost. The Laplace operator and the geometry of graphs. Mathematics of Data, 83--113, Springer International Publishing, Cham, 2023. [PUMA: Laplace geometry graphs nopdf operator]

Parvaneh Joharinad, and Jürgen Jost. Nonlinear Schemes: Clustering, Feature Extraction and Dimension Reduction. Mathematical Principles of Topological and Geometric Data Analysis, 193–226, Springer International Publishing, 2023. [PUMA: Clustering Dimension Extraction Nonlinear Reduction nopdf] URL

Parvaneh Joharinad, and Jürgen Jost. Metric spaces and manifolds. Mathematics of Data, 115--164, Springer International Publishing, Cham, 2023. [PUMA: Metric manifolds nopdf spaces]

Parvaneh Joharinad, and Jürgen Jost. Metrics and curvature. Mathematics of Data, 253--270, Springer International Publishing, Cham, 2023. [PUMA: Metrics curvature nopdf]

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

Parvaneh Joharinad, and Jürgen Jost. Manifold learning, the scheme of Laplacian eigenmaps. Mathematics of Data, 227--251, Springer International Publishing, Cham, 2023. [PUMA: Laplacian Manifold eigenmaps learning nopdf]

Logics in Artificial Intelligence: 18th European Conference, JELIA 2023, Dresden, Germany, September 20--22, 2023, Proceedings. In Sarah Gaggl, Maria Vanina Martinez, and Magdalena Ortiz (Eds.), Lecture notes in computer science, Springer Nature Switzerland, Cham, 2023. [PUMA: AI Intelligence Logics in nopdf artificial]

Parvaneh Joharinad, and Jürgen Jost. Linear methods: Kernels, variations, and averaging. Mathematics of Data, 165--191, Springer International Publishing, Cham, 2023. [PUMA: Linear methods nopdf]

Matti Berthold, Matthias Knorr, and Daphne Odekerken. Proceedings 39th international conference on logic programming. Electron. Proc. Theor. Comput. Sci., (385):321--323, Open Publishing Association, September 2023. [PUMA: logic nopdf programming]

Sander Münster, Christoph Lehmann, Taras Lazariv, Ferdinand Maiwald, and Susanne Karsten. Toward an Automated Pipeline for a Browser-Based, City-Scale Mobile 4D VR Application Based on Historical Images. In Florian Niebling, Sander Münster, and Heike Messemer (Eds.), Research and Education in Urban History in the Age of Digital Libraries, 106--128, Springer International Publishing, Cham, 2021. [PUMA: 4D Application Browser-Based City-Scale Historical Images Mobile Pipeline VR nopdf automated]

Anna Fensel, Ana Ozaki, Dumitru Roman, and Ahmet Soylu. Rules and Reasoning: 7th International Joint Conference, RuleML+ RR 2023, Oslo, Norway, September 18--20, 2023, Proceedings. (14244)Springer Nature, 2023. [PUMA: 2023 RR RuleML nopdf]

Raghava Vinaykanth Mushunuri, Matthias Choschzick, Ulf-Dietrich Braumann, and Jürgen Hess. An ensemble approach for histopathological classification of vulvar cancer. In John E Tomaszewski, and Aaron D Ward (Eds.), Medical Imaging 2023: Digital and Computational Pathology, 40, SPIE, April 2023. [PUMA: approach cancer classification ensemble histopathological nopdf vulvar]

André Renz. AI in Education: Educational Technology and AI. In Inka Knappertsbusch, and Kai Gondlach (Eds.), Work and AI 2030: Challenges and Strategies for Tomorrow's Work, 353--360, Springer Fachmedien Wiesbaden, Wiesbaden, 2023. [PUMA: AI Educational Technology nopdf] URL

Maksim Kukushkin, Martin Bogdan, and Thomas Schmid. On optimizing morphological neural networks for hyperspectral image classification. In Wolfgang Osten (Eds.), Sixteenth International Conference on Machine Vision (ICMV 2023), (13072):1307202, SPIE, 2024. [PUMA: classification computer deep hyperspectral image learning mathematical morphological morphology networks neuronal nopdf remote sensing vision] URL

Fabian Erichsmeier, Maksim Kukushkin, Johannes Fiedler, Matthias Enders, Simon Goertz, Martin Bogdan, Thomas Schmid, and Reinhard Kaschuba. Automating the purity analysis of oilseed rape through usage of hyperspectral imaging. In Dag Heinemann, and GerritEditors Polder (Eds.), Photonic Technologies in Plant and Agricultural Science, 21, SPIE, 2024. [PUMA: Automating analysis hyperspectral imaging nopdf oilseed purity rape]

Julian Striegl, Sebastian Rottmann, and Claudia Loitsch. Effectiveness and Acceptance of Conversational Agent-based Psychotherapy for Depression and Anxiety Treatment: Methodological Literature Review. February 2024. [PUMA: imported nopdf]

Clemens Witt, Thiemo Leonhardt, Erik Marx, and Nadine Bergner. From Guesswork to Game Plan: Exploring Problem-Solving-Strategies in a Machine Learning Game. In Zsuzsa Pluhár, and Bence Gaál (Eds.), Informatics in Schools. Innovative Approaches to Computer Science Teaching and Learning, 73--84, Springer Nature Switzerland, Cham, 2025. [PUMA: imported nopdf]

Marc Hellmuth, Peter F. Stadler, and Sandhya Thekkumpadan Puthiyaveedu. Fitch Graph Completion. Computing and Combinatorics, 225–237, Springer Nature Switzerland, December 2023. [PUMA: Completion Fitch Graph nopdf] URL

Jürgen Jost, Roberto Lalli, Manfred D. Laubichler, Eckehard Olbrich, Jürgen Renn, Guillermo Restrepo, Peter F. Stadler, and Dirk Wintergrün. Computational History: Challenges and Opportunities of Formal Approaches. Journal of Social Computing, (4)3:232–242, Institute of Electrical and Electronics Engineers (IEEE), September 2023. [PUMA: Challenges Computational History Opportunities nopdf] URL

Sarah von Löhneysen, Thomas Spicher, Yuliia Varenyk, Hua-Ting Yao, Ronny Lorenz, Ivo Hofacker, and Peter F Stadler. Phylogenetic and Chemical Probing Information as Soft Constraints in RNA Secondary Structure Prediction. Journal of Computational Biology, (31)6:549--563, Mary Ann Liebert, Inc., publishers 140 Huguenot Street, 3rd Floor New~…, 2024. [PUMA: imported nopdf]

Daniel Merkle, and Peter F Stadler. On the Realisability of Chemical Pathways. Bioinformatics Research and Applications: 19th International Symposium, ISBRA 2023, Wrocław, Poland, October 9--12, 2023, Proceedings, (14248):409, 2023. [PUMA: imported nopdf]

C Schultz, S Bernhart, J Gnauck, DI Valdivia, A Stubenvoll, H Betat, M Moerl, PF Stadler, and M Kunz. Melanoma development: linking tRNA composition to mRNA expression. EXPERIMENTAL DERMATOLOGY, (33)32024. [PUMA: imported nopdf]

Dustyn Eggers, Christian Höner zu Siederdissen, and Peter F. Stadler. Accuracy of RNA Structure Prediction Depends on the Pseudoknot Grammar. Advances in Bioinformatics and Computational Biology, 20–31, Springer Nature Switzerland, 2022. [PUMA: DependsPseudoknot Grammar Prediction RNA Structure nopdf] URL

Charlotte Beylier, Nico Scherf, and Christian F Doeller. The development of representations in artificial agents. Scientific Advisory Board (SAB) Meeting, 2023. [PUMA: imported nopdf]

Charlotte Beylier, Nico Scherf, Christian F Doeller, and Nicholas Menghi. Representation in machine learning: A neuro-cognitive approach. French-German Research and Innovation Network for AI workshop, 2022. [PUMA: imported nopdf]

Ferney Beltran Velandia, Martin Bogdan, Nico Scherf, and Marc Schönwiesner. Modelling the olfactory system using spiking neural networks with synaptic dynamics to study drifting in electronic noses. Scientific Advisory Board (SAB) Meeting, 2023. [PUMA: imported nopdf]

Nico Scherf. Machine learning in computational microscopy. 11th IMPRS NeuroCom Summer School, 2022. [PUMA: imported nopdf]