Publications

Robert Haase, Michael Andreeff, und 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, und 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, und 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, und 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, und Paul Johnson. Mapping Glacier Basal Sliding with Beamforming and Artificial Intelligence. EGU General Assembly Conference Abstracts, EGU22--6948, 2022. [PUMA: nopdf]

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

Melanie Brandmeier, und 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, und Florina M Ciorba. Event Pattern Identification in Anonymized System Logs. International Supercomputing Conference (ISC), Frankfurt, Germany, Juni 2017. [PUMA: nopdf]

Tais Maria Nunes Carvalho, Francisco De Assis de Souza Filho, und 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, und 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, und Martin Weigert. Trackastra: Transformer-based cell tracking for live-cell microscopy. European Conference on Computer Vision, 467--484, 2025. [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, und Verónica Melesse Vergara (Hrsg.), Springer-Verlag, Berlin, Heidelberg, 2021. [PUMA: 2021 Accelerator Programming WACCPD Zno imported nopdf]

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

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

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

Parvaneh Joharinad, und 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, und Magdalena Ortiz (Hrsg.), Lecture notes in computer science, Springer Nature Switzerland, Cham, 2023. [PUMA: AI Artificial Intelligence Logics in nopdf]

Parvaneh Joharinad, und 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, und 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, und 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, und Heike Messemer (Hrsg.), Research and Education in Urban History in the Age of Digital Libraries, 106--128, Springer International Publishing, Cham, 2021. [PUMA: 4D Application Automated Browser-Based City-Scale Historical Images Mobile Pipeline VR nopdf]

Anna Fensel, Ana Ozaki, Dumitru Roman, und 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, und Jürgen Hess. An ensemble approach for histopathological classification of vulvar cancer. In John E Tomaszewski, und Aaron D Ward (Hrsg.), 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, und Kai Gondlach (Hrsg.), 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, und Thomas Schmid. On optimizing morphological neural networks for hyperspectral image classification. In Wolfgang Osten (Hrsg.), 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, und Reinhard Kaschuba. Automating the purity analysis of oilseed rape through usage of hyperspectral imaging. In Dag Heinemann, und GerritEditors Polder (Hrsg.), Photonic Technologies in Plant and Agricultural Science, 21, SPIE, 2024. [PUMA: Automating analysis hyperspectral imaging nopdf oilseed purity rape]

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

Clemens Witt, Thiemo Leonhardt, Erik Marx, und Nadine Bergner. From Guesswork to Game Plan: Exploring Problem-Solving-Strategies in a Machine Learning Game. In Zsuzsa Pluhár, und Bence Gaál (Hrsg.), 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, und Sandhya Thekkumpadan Puthiyaveedu. Fitch Graph Completion. Computing and Combinatorics, 225–237, Springer Nature Switzerland, Dezember 2023. [PUMA: Completion Fitch Graph nopdf] URL

Jürgen Jost, Roberto Lalli, Manfred D. Laubichler, Eckehard Olbrich, Jürgen Renn, Guillermo Restrepo, Peter F. Stadler, und 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, und 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, und 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, und M Kunz. Melanoma development: linking tRNA composition to mRNA expression. EXPERIMENTAL DERMATOLOGY, (33)32024. [PUMA: imported nopdf]

Dustyn Eggers, Christian Höner zu Siederdissen, und 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, und 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, und 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, und 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]

Nadine Herzog, Luka Elliott Joonatan Vähäsarja, Pia Reinfeld, Nico Scherf, Simon M Hofmann, Christina Andreou, Arno Villringer, und Christoph Mulert. From Surface to Depth: using deep learning to predict striatal fMRI reward signaling in the EEG. OSF, 2024. [PUMA: imported nopdf]

Charlotte Beylier, Nico Scherf, Christian F Doeller, und Nicholas Menghi. From manifolds to thoughts. 11th IMPRS NeuroCom Summer School, 2022. [PUMA: imported nopdf]

Nico Scherf. Einige Gedanken und Fragen zum Umgang mit und zur Veröffentlichung von Bioimaging-Datenanalysen. 5. FDM-Workshop 2022, 2022. [PUMA: imported nopdf]

Mahsa Zoraghi, Nico Scherf, Carsten Jaeger, Ingolf Sack, Sebastian Hirsch, Stefan Hetzer, und Nikolaus Weiskopf. Effect of brain tissue deformation on functional MRI signal variations assessed using biomechanical simulations. Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, 2022. [PUMA: imported nopdf]

Nico Scherf. Computer statt Mensch: Kann KI unsere Probleme lösen?. Hessischer Rundfunk (hr), 2022. [PUMA: imported nopdf]

Nicholas Menghi, Charlotte Beylier, Nico Scherf, Burkhard Maess, und Christian F Doeller. Aligning and transferring knowledge across domains. Scientific Advisory Board (SAB) Meeting, 2023. [PUMA: imported nopdf]

Nico Scherf. A gentle introduction to deep learning. 11th IMPRS NeuroCom Summer School, 2022. [PUMA: imported nopdf]

Peter Pennitz, Vincent Friedrich, Emanuel Wyler, Julia Adler, D Postmus, Sandro Andreotti, L Teixeira-Alves, Julia Kazmierski, F Pott, T Hoefler, Cengiz Gökeri, Markus Landthaler, Christine Goffinet, Jakob Trimpert, M Scholz, Martin Witzenrath, Holger Kirsten, und Geraldine Nouailles. Interspecies analysis to dissect cellular transcriptomic signatures of humans and hamsters in COVID-19. Pneumologie, (77)März 2023. [PUMA: imported nopdf]

Matti Berthold, und Markus Ulbricht. On Forgetting in Assumption-Based Argumentation. 235-261, Oktober 2024. [PUMA: imported nopdf]

Nils Küchenmeister, Alex Ivliev, und Markus Krötzsch. Towards Mass Spectrum Analysis with ASP. 200-214, Oktober 2024. [PUMA: imported nopdf]

David Schaller, Marc Hellmuth, und Peter F. Stadler. Orientation of Fitch Graphs and Reconciliation-Free Inference of Horizontal Gene Transfer in Gene Trees. SIAM Journal on Discrete Mathematics, (37)3:2172–2207, Society for Industrial & Applied Mathematics (SIAM), September 2023. [PUMA: Fitch_graph gene_families horizontal_gene_transfer linear-time_algorithm nopdf partition xenology] URL

Paul Eisenhuth, Fabian Liessmann, Rocco Moretti, und Jens Meiler. REvoLd: Ultra-Large Library Screening with an Evolutionary Algorithm in Rosetta. 2024. [PUMA: Algorithm Evolutionary Library REvoLd Rosetta Screening Ultra-Large imported nopdf] URL

Dörthe Arndt, Jos De Roo, Patrick Hochstenbach, Rebekka Martens, Femke Ongenae, und Mathijs van Noort. RDF Surfaces as a First-Order Language for the Semantic Web. In Sabrina Kirrane, Mantas Simkus, Ahmet Soylu, und Dumitru Roman (Hrsg.), Rules and Reasoning, 200--216, Springer Nature Switzerland, Cham, 2024. [PUMA: Language RDF_Surfaces First-Order Semantic Web imported nopdf]

Karsten Haustein, Hannes Zacher, Katja Liebal, Marie Eichholz, und Ulrike Mühlhaus. Justice and urban transformation in light of accelerating climate change . Copernicus GmbH, November 2024. [PUMA: imported nopdf yaff] URL

Pramod Baddam, Ayse Glass, René Jäkel, Jonathan Jander, Tom Krause, Pamela Kunert, Järg Rainer Noennig, Iryna Okhrin, Mariela Sanchez, und Ulrike Steffens. Evaluating Tabular Data Generation Techniques on the DaFne Platform: Insights from a Predictive Maintenance Case Study on Bridges. In Xin-She Yang, Simon Sherratt, Nilanjan Dey, und Amit Joshi (Hrsg.), Proceedings of Ninth International Congress on Information and Communication Technology, 611--628, Springer Nature Singapore, Singapore, 2024. [PUMA: imported nopdf]

Ngoc Thanh Nguyen, Bogdan Franczyk, André Ludwig, Manuel Núñez, Jan Treur, Gottfried Vossen, und Adrianna Kozierkiewicz. Advances in Computational Collective Intelligence: 16th International Conference, ICCCI 2024, Leipzig, Germany, September 9-11, 2024, Proceedings, Part II. (2166)Springer Nature, 2024. [PUMA: 2024 Collective Computational ICCCI Intelligence Leipzig nopdf]

M Alb, H Einsele, P Loskill, A Van der Meer, K Sewald, K Reiche, U Koehl, und M Hudecek. New Strategies to improve the Safety of CAR-T Cell Immunotherapy: the imSAVAR Project. ONCOLOGY RESEARCH AND TREATMENT, (45)SUPPL 2:70--71, 2022. [PUMA: CAR-T Cell Immunotherapy Project Safety Strategiese imSAVAR nopdf]

Michael Hudecek, Qasim Rafiq, Stephen Goldrick, Ulrike Koehl, Helene Negre, und Carmen Sanges. Innovations in Development, Translational Research and Manufacturing of CAR T cells. Frontiers Media SA, 2024. [PUMA: CAR-T Manufacturing Research Translational cells nopdf]

Oliver Kutz, C Lutz, und A Ozaki. Proceedings of the 36th International Workshop on Description Logics (DL 2023). Co-located with the 20th International Conference on Principles of Knowledge Representation and Reasoning and the 21st International Workshop on Non-Monotonic Reasoning (KR 2023 and NMR 2023). Rhodes, Greece, September 2-4, 2023.. CEUR-WS. org, 2023. [PUMA: (DL 2023) 36th Description International Logics Proceedings Workshop nopdf]

Markus Bauer, Lennart Schneider, Marit Bernhardt, Christoph Augenstein, Glen Kristiansen, und Bogdan Franczyk. An Open-Source Approach for Digital Prostate Cancer Histopathology: Bringing AI into Practice. Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS, 729-738, SciTePress, 2024. [PUMA: AI Cancer Digital Histopatholog Open-Source Prostate nopdf]

Artur Skoczylas, Bogdan Franczyk, Wieslawa Gryncewicz, und Ryszard Zygala. Decision Support in Production Environment Using Artificial Intelligence. 50-61, August 2024. [PUMA: imported nopdf]

Matthias Mueller, Bogdan Franczyk, und Jens Weiland. Entscheidungsunterstützungssysteme in der Produktentwicklung von Unternehmen. GI, 2023. [PUMA: imported nopdf] URL

Bogdan Franczyk, Michael Zwanzger, Gerhard Heyer, Philippe Krajsic, Martin Käßner, Leonie Gass, Loana Ebenthal, Leon Herrbruck, Daniel Lahr, Maik Pradel, und others. ELISA-Intelligent consumer protection system to enforce tenancy rights (Intelligentes Verbrauchschutzsystem zur Durchsetzung von Mietrechten): Schlussbericht, Stand September 2022: Projektlaufzeit: 01.01. 2020-30.06. 2022. Universität Leipzig, 2022. [PUMA: imported nopdf]

U. Sandy Tretbar, Joel G. Rurik, Even H. Rustad, Duran Sürün, Ulrike Köhl, Johanna Olweus, Frank Buchholz, Zoltán Ivics, Stephan Fricke, und Ulrich Blache. Non-viral vectors for chimeric antigen receptor immunotherapy. Nature Reviews Methods Primers, (4)1:74, 10.10.2024. [PUMA: imported nopdf zno] URL

Ringo Baumann, und Hannes Strass. Consequence Operators of Characterization Logics – The Case of Abstract Argumentation. 154-166, Oktober 2024. [PUMA: imported nopdf]

Qi Zhao, Bai Yan, Yuhui Shi, und Martin Middendorf. Evolutionary Dynamic Multiobjective Optimization via Learning From Historical Search Process. IEEE Transactions on Cybernetics, (52)7:6119-6130, 2022. [PUMA: imported nopdf]

Daniel Werner, Fatma Turna, Hoang Thanh Le, und Martin Middendorf. XF-OPT/META: A Hyperparameter Optimization Framework Applied to the H -SPPBO Metaheuristic for the Dynamic TSP. 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 1183-1188, Dezember 2023. [PUMA: imported nopdf]

Leo Sperling, Simon Lämmer, Gerik Scheuermann, und Christina Gillmann. Uncertainty-aware Evaluation of Machine Learning Performance in binary Classification Tasks. Mai 2022. [PUMA: imported nopdf]

Petra Gospodnetic, Christina Gillmann, und Gerik Scheuermann. Special Issue on Visualization in Manufacturing. IEEE Computer Graphics and Applications, (42)2:8-9, März 2022. [PUMA: imported nopdf]

Karin Mora, Michael Rzanny, Jana Wäldchen, Hannes Feilhauer, Teja Kattenborn, Guido Kraemer, Patrick Mäder, Daria Svidzinska, Sophie Wolf, und Miguel Mahecha. Plant macrophenological dynamics -from individuals to plant group behaviour using citizen science data. April 2024. [PUMA: imported nopdf]

Felix Raith, Baldwin Nsonga, Gerik Scheuermann, und Christian Heine. Fast Fiber Line Extraction for 2D Bivariate Scalar Fields. 2023 IEEE Visualization and Visual Analytics (VIS), 156-160, Oktober 2023. [PUMA: imported nopdf]

Baldwin Nsonga, Andy Berres, Robert Jeffers, Caitlyn Clark, Hans Hagen, und Gerik Scheuermann. Extreme Weather and the Power Grid: A Case Study of Winter Storm Uri. 2024 IEEE Workshop on Energy Data Visualization (EnergyVis), 34-39, Oktober 2024. [PUMA: imported nopdf]

Andy Berres, Baldwin Nsonga, Caitlyn Clark, Robert Jeffers, Hans Hagen, und Gerik Scheuermann. Evaluating the Impact of Power Outages on Occupancy Patterns During the 2021 Texas Power Crisis. 2024 IEEE Workshop on Energy Data Visualization (EnergyVis), 40-45, Oktober 2024. [PUMA: imported nopdf]

Chiara Hergl, Carina Witt, Baldwin Nsonga, Andreas Menzel, und Gerik Scheuermann. Electromechanical Coupling in Electroactive Polymers – a Visual Analysis of a Third-Order Tensor Field. IEEE Transactions on Visualization and Computer Graphics, (29)12:5357-5371, Dezember 2023. [PUMA: imported nopdf]

Robin G. C. Maack, Felix Raith, Juan F. Pérez, Gerik Scheuermann, und Christina Gillmann. A workflow to systematically design uncertainty-aware visual analytics applications. The Visual Computer, 07.06.2024. [PUMA: imported nopdf] URL

Vanessa Kretzschmar, Gerik Scheuermann, Markus Stommel, und Christina Gillmann. A Visual Analytics Inspired Approach to Correlate and Understand Multiple Mechanical Tensor Fields. 2023 IEEE 16th Pacific Visualization Symposium (PacificVis), 107-111, April 2023. [PUMA: imported nopdf]

Andreas Knüpfer, Holger Brunst, Jens Doleschal, Matthias Jurenz, Matthias Lieber, Holger Mickler, Matthias S Müller, und Wolfgang E Nagel. The vampir performance analysis tool-set. Tools for High Performance Computing: Proceedings of the 2nd International Workshop on Parallel Tools for High Performance Computing, July 2008, HLRS, Stuttgart, 139--155, 2008. [PUMA: imported nopdf]

Johanna Zitt, Patrick Paitz, Fabian Walter, und Josefine Umlauft. Denoising cryoseismological distributed acoustic sensing data using a deep neural network. EGU General Assembly Conference Abstracts, EGU--13269, 2023. [PUMA: imported nopdf]

Madhura Kumaraswamy, Anamika Chowdhury, Andreas Gocht, Jan Zapletal, Kai Diethelm, Lubomir Riha, Marie-Christine Sawley, Michael Gerndt, Nico Reissmann, Ondrej Vysocky, und others. Saving Energy Using the READEX Methodology. Tools for High Performance Computing 2018/2019: Proceedings of the 12th and of the 13th International Workshop on Parallel Tools for High Performance Computing, Stuttgart, Germany, September 2018, and Dresden, Germany, September 2019, 27--53, 2021. [PUMA: imported nopdf]

Jana Roth, Karin Mora, Djamil Al-Halbouni, Ronny Richter, Teja Kattenborn, Sebastian Johannes Wieneke, Ana Bastos, Alexandra Weigelt, Christian Wirth, und Josefine Umlauft. How trees sway and what it tells us about their overall vitality. 2024. [PUMA: imported nopdf]

Ringo Baumann, und Anne-Marie Heine. On Naive Labellings--Realizability, Construction and Patterns of Redundancy. International Symposium on Foundations of Information and Knowledge Systems, 125--143, 2024. [PUMA: imported nopdf]

Julia Peters, Felix Roth, und Josefine Umaluft. Deep Embedded Clustering of a Cryo-Data-Cube. 2024. [PUMA: imported nopdf]

Johanna Zitt, Patrick Paitz, Fabian Walter, und Josefine Umlauft. Uncovering Stick-Slip Events: Denoising Cryoseismological Distributed Acoustic Sensing Data with an Autoencoder. 2024. [PUMA: imported nopdf]

Bernhard Vogginger, Florian Kelber, Matthias Jobst, Yexin Yan, Pascal Gerhards, Martin Weih, und Mahmoud Akl. py-spinnaker2. Zenodo, 2023. [PUMA: imported nopdf]

Sandra Bohlinger, und Sandra Hummel. Digital Capacity Building in Teacher Education: An Environmental Case Study from Cambodia. In Sandra Hummel (Hrsg.), Empowering Education in Cambodia and Sri Lanka: Advancing Quality in 21st Century Teaching and Learning, 31--50, SPRINGER VS/SPRINGER FACHMEDIEN, Germany, 2024. [PUMA: FIS_scads area_responsibleai imported nopdf]

Sandra Hummel, Mana-Teresa Donner, und Rudolf Egger. Lehren mit Learning Analytics: Qualifizierungsprogramm für die Hochschullehre. University of Graz, 2023. [PUMA: FIS_scads area_responsibleai imported nopdf]

Sandra Hummel, und Manjula Vithanapathirana. Enhancing Contemporary Teaching Skills to Address the Changing Role of Teachers as a Result of the Long-Term Social Impacts of the Covid-19 Pandemic. Proceedings of the International Webinar on Long-Term Social Impacts of the Covid-19 Pandemic, 98--103, The National Academy of Sciences of Sri Lanka, 2023. [PUMA: FIS_scads area_responsibleai imported nopdf]

Sandra Hummel, und Mana-Teresa Donner. Digital Companions for Learners: Design Principles for AI Assistants in Education. 15.06.2024. [PUMA: FIS_scads area_responsibleai imported nopdf] URL

Sandra Hummel, und Mana-Teresa Donner. Lehren mit Learning Analytics. University of Graz, 2023. [PUMA: FIS_scads area_responsibleai imported nopdf]

Phillip Assinger, und Sandra Hummel. Introductory Overview. Shaping Tomorrow Today, 1--12, SPRINGER VS/SPRINGER FACHMEDIEN, Germany, 2023. [PUMA: FIS_scads area_responsibleai imported nopdf]

Sandra Hummel, Rudolf Egger, und Mana-Teresa Donner. Lehren mit KI: Learning Analytics für mehr Studierendenorientierung in der Hochschullehre?. In Thomas Köhler, Eric Schoop, Nina Kahnwald, und Ralph Sonntag (Hrsg.), Gemeinschaften in Neuen Medien. Digitalität und Diversität. Mit digitaler Transformation Barrieren überwinden!? 26. Workshop GeNeMe'23., 7, TUDpress/Thelem Universitätsverlag, Deutschland, 2023. [PUMA: FIS_scads area_responsibleai imported nopdf]

Sandra Hummel. KI-Innovationen: Neue Horizonte für die Erwachsenenbildung. Die österreichische Volkshochschule : Magazin für die Erwachsenenbildung, (2023)280Verb., Wien, 2023. [PUMA: FIS_scads area_responsibleai imported nopdf]

Sandra Hummel, Mirjam Brodacz-Geier, und Bridget Sheehan. Pedagogical Professionalization in Digital Contexts. In Sandra Hummel (Hrsg.), Empowering Education in Cambodia and Sri Lanka: Advancing Quality in 21st Century Teaching and Learning, 205--221, SPRINGER VS/SPRINGER FACHMEDIEN, Germany, 2024. [PUMA: FIS_scads area_responsibleai imported nopdf]

Sandra Hummel, und Mana-Teresa Donner. Student Needs and the Role of AI Mentors in Higher Education. 11.07.2024. [PUMA: FIS_scads area_responsibleai imported nopdf] URL

Sandra Hummel, Sarah Aldrian, und Bridget Sheehan. Culture, Education and Digital Transformation in Sri Lanka. In Sandra Hummel (Hrsg.), Empowering Education in Cambodia and Sri Lanka: Advancing Quality in 21st Century Teaching and Learning, 9--29, SPRINGER VS/SPRINGER FACHMEDIEN, Germany, 2024. [PUMA: FIS_scads area_responsibleai imported nopdf]

Sandra Hummel, und Mana-Teresa Donner. Teaching Innovation Workshop: Skill Transformation in AI-Enhanced Education. 12.11.2024. [PUMA: FIS_scads area_responsibleai imported nopdf] URL

Sandra Hummel, und Mana-Teresa Donner. Learning Analytics für die Hochschullehre. University of Graz, 2023. [PUMA: FIS_scads area_responsibleai imported nopdf]

Sandra Hummel, und Mana-Teresa Donner. Motivational Impacts of AI on Student Learning. 16.06.2024. [PUMA: FIS_scads area_responsibleai imported nopdf] URL