Publications

Benjamin Gallusser, und 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, und Verónica Melesse Vergara (Hrsg.), Springer-Verlag, Berlin, Heidelberg, 2021. [PUMA: 2021 Accelerator Programming WACCPD imported nopdf zno]

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]

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]

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. In Maria Vanina Martinez Carmine Dodaro, Gopal Gupta (Hrsg.), 1:XVII, 394, Springer Cham, 2024. [PUMA: imported nopdf]

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 imported nopdf web]

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]

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]

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]

Mana-Teresa Donner. Teststatistische Überprüfung und Validierung der Magna Employee Opinion Survey. 2021. [PUMA: FIS_scads imported nopdf]

A. Czejkowska, H. Feichter, Sandra Hummel, J. Seyss-Inquart, und K. Strausz. Offen lernen: Kindorientierter Unterricht in Forschung und Praxis. Arts & Culture & Education, Löcker, 2018. [PUMA: FIS_scads imported nopdf]

Sandra Hummel. Teaching International: Higher Education in Kambodscha und Sri Lanka. Weiterbildung : Zeitschrift für Grundlagen, Praxis und Trends, (2018)6:38--41, ZIEL-Verlag, 2018. [PUMA: FIS_scads imported nopdf]

Sandra Hummel. Chatbots in Forschungsgeleiteter Lehre. FNMA Magazin, (2021)01:19--20, Verein Forum neue Medien in der Lehre Austria, Graz, 2021. [PUMA: FIS_scads imported nopdf]

Sandra Hummel. Learning Analytics – Ein hochschuldidaktisches Begleitprogramm zur prozessorientierten Lernunterstützung. FNMA Magazin, (2021):21--24, Verein Forum neue Medien in der Lehre Austria, Graz, 2021. [PUMA: FIS_scads imported nopdf]

Bernd Hackl, und Sandra Hummel. Corporal Expression in Teaching: Impact and Investigation of a Tacit Influence on what is Learned in School. In C. Shoniregun, und G. Akmayeva (Hrsg.), CICE - 2010 Proceeding, 31--35, 2010. [PUMA: FIS_scads imported nopdf]

A. Munro, Sandra Hummel, Mirjam Brodacz-Geier, und H.M.L. Kumari. Teaching Comprehension: Roles, Tasks and Functions. In Sandra Hummel (Hrsg.), CONTESSA: Contemporary Teaching Skills for South-East Asia, 75--91, University of Graz, 2021. [PUMA: FIS_scads imported nopdf]

Sandra Hummel. Grundlagen der Hochschullehre: Teaching in Higher Education. SPRINGER VS/SPRINGER FACHMEDIEN, Deutschland, 2020. [PUMA: FIS_scads imported nopdf]

Sandra Hummel, Bridget Sheehan, und P.R.D. Chathurika. Designing Learning Environments. In Sandra Hummel (Hrsg.), CONTESSA: Contemporary Teaching Skills for South-East Asia, 62--74, University of Graz, 2021. [PUMA: FIS_scads imported nopdf]

Sandra Hummel, Rudolf Egger, und Sarah Reichenstein. Doing Higher Education. University of Graz, 2021. [PUMA: FIS_scads imported nopdf]

Sandra Hummel, Bridget Sheehan, L. Monirith, D.M.W. Munasinghe, und S. Thilakarathna. Lesson Planning and Methodological Skills: Concepts, Tools and Application. In Sandra Hummel (Hrsg.), CONTESSA: Contemporary Teaching Skills for South-East Asia, 23--61, University of Graz, 2021. [PUMA: FIS_scads imported nopdf]

Sandra Hummel, Bridget Sheehan, A. Munro, und S. Neranjani. Individual Development and Problem-Solving Skills. In Sandra Hummel (Hrsg.), CONTESSA: Contemporary Teaching Skills for South-East Asia, 148--161, University of Graz, 2021. [PUMA: FIS_scads imported nopdf]

Sandra Hummel. Ein- und Ausgrenzung im Bildungssystem. Weiterbildung : Zeitschrift für Grundlagen, Praxis und Trends, (2018)6:42, ZIEL-Verlag, 2018. [PUMA: FIS_scads imported nopdf]

Sandra Hummel, R. Elias, und D.V.K.P. Seneviratne. Pedagogical Professionalization. In Sandra Hummel (Hrsg.), CONTESSA: Contemporary Teaching Skills for South-East Asia, 125--147, University of Graz, 2021. [PUMA: FIS_scads imported nopdf]

Sandra Hummel, Sandra Bohlinger, und Bridget Sheehan. Modern Pedagogies in the Digital Era: Elevating Educational Standards in Teacher Education. In Sandra Hummel (Hrsg.), Empowering Education in Cambodia and Sri Lanka: Advancing Quality in 21st Century Teaching and Learning, 67--78, SPRINGER VS/SPRINGER FACHMEDIEN, Germany, 2024. [PUMA: FIS_scads area_responsibleai imported nopdf]

Sandra Hummel, und Mana-Teresa Donner. Introduction. In Sandra Hummel, und Mana-Teresa Donner (Hrsg.), Student Assessment in Digital and Hybrid Learning Environments, 1--8, SPRINGER VS/SPRINGER FACHMEDIEN, Germany, Dezember 2023. [PUMA: FIS_scads area_responsibleai 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

Sandra Hummel, Thomas Köhler, Natasa Brouwer-Zupanicic, Rudolf Egger, und Michael Rieger. Empowering Students with AI-based Chatbot Assistants: A New Era of Higher Education?. In Thomas Kohler, Eric Schoop, Nina Kahnwald, und Ralph Sonntag (Hrsg.), Communities in New Media. Inclusive digital: Forming Community in an Open Way Self-determined Participation in the Digital Transformation, 38 -- 43, TUDpress/Thelem Universitätsverlag, Germany, 2023. [PUMA: FIS_scads area_responsibleai imported nopdf] URL

Sandra Hummel, und Mana-Teresa Donner. The Dual Impact of AI in Academia: From Deskilling Risks to Upskilling Opportunities. 25.06.2024. [PUMA: FIS_scads area_responsibleai imported nopdf] URL

Sandra Hummel, Mana-Teresa Donner, und Rudolf Egger. Lehren mit Learning Analytics: Empfehlungen für das Coaching von Lehrenden. University of Graz, 2023. [PUMA: FIS_scads area_responsibleai imported nopdf]

Rudolf Egger, und Sandra Hummel. Biographieforschung und Hochschulforschung. In Dieter Nittel, Heide von Felden, und Meron Mendel (Hrsg.), Erziehungswissenschaftliche Biographieforschung und Biographiearbeit, 574--585, Verlag Julius Beltz GmbH, Deutschland, 2022. [PUMA: FIS_scads area_responsibleai imported nopdf]

Sandra Hummel, und Mana-Teresa Donner. Motivational Dynamics in AI-Enhanced Education: Unveiling Student Perspectives. 12.07.2024. [PUMA: FIS_scads area_responsibleai imported nopdf] URL

Sandra Hummel. Embodied Teaching: Corporeal Expressiveness in Classroom Communication. SPRINGER VS/SPRINGER FACHMEDIEN, Germany, 2024. [PUMA: FIS_scads area_responsibleai imported nopdf]

Sandra Hummel, Mirjam Brodacz-Geier, und Natasa Brouwer-Zupanicic. VISION’s E-Course: The Visionair. University of Graz, 2023. [PUMA: FIS_scads area_responsibleai imported nopdf]

Sandra Hummel, Nearyroth Meas, und Manjula Vithanapathirana. The Project CONTESSA - Contemporary Teaching Skills for South Asia. Capacity Building in Education. Weiterbildung : Zeitschrift für Grundlagen, Praxis und Trends, (2023)1:36--39, ZIEL-Verlag, 2023. [PUMA: FIS_scads area_responsibleai imported nopdf]

Student Assessment in Digital and Hybrid Learning Environments. In Sandra Hummel, und Mana-Teresa Donner (Hrsg.), Doing Higher Education, SPRINGER VS/SPRINGER FACHMEDIEN, Germany, Dezember 2023. [PUMA: FIS_scads area_responsibleai imported nopdf]

Empowering Education in Cambodia and Sri Lanka: Advancing Quality in 21st Century Teaching and Learning. In Sandra Hummel (Hrsg.), Doing Higher Education, SPRINGER VS/SPRINGER FACHMEDIEN, Germany, 2024. [PUMA: FIS_scads area_responsibleai imported nopdf]

Erik Marx, und Nadine Bergner. Maschinelles Lernen in der Sekundarstufe I erlebbar machen: Workshop-Konzept zur Entwicklung einer intelligenten Museumsapp. 429--430, 2023. [PUMA: FIS_scads area_responsibleai imported nopdf] URL

Sandra Hummel, Syed Hur Abbas, Gitanjali Wadhwa, und Mana-Teresa Donner. Trustworthy AI-Mentors: Combining Large Language Models and Core NLP Techniques for Secure Learning Support. 27.09.2024. [PUMA: FIS_scads area_responsibleai imported nopdf] URL

Sandra Hummel, Gitanjali Wadhwa, Syed Hur Abbas, und Mana-Teresa Donner. Secure and Effective AI-based Learning Systems: Integrating Federated Learning and Large Language Models for Privacy-Preservation in Education. 26.09.2024. [PUMA: FIS_scads area_responsibleai imported nopdf] URL

Sandra Hummel, Mana-Teresa Donner, Gitanjali Wadhwa, und Syed Hur Abbas. Enhancing Learning Paths with AI-Mentoring. 09.10.2023. [PUMA: FIS_scads area_responsibleai imported nopdf] URL

Sandra Hummel, Mana-Teresa Donner, Syed Hur Abbas, und Gitanjali Wadhwa. Gestaltungsmerkmale KI-basierter Avatare zur Förderung selbstregulierten Lernens: Eine empirische Analyse. 26.09.2024. [PUMA: FIS_scads area_responsibleai imported nopdf] URL

Sandra Hummel, Gitanjali Wadhwa, Syed Hur Abbas, und Mana-Teresa Donner. AI-Based-Personalized Learning in Higher Education: From Tracing Learning Processes to Providing Tailored Educational Support. 27.09.2024. [PUMA: FIS_scads area_responsibleai imported nopdf] URL

Moritz Kuhtz, Johannes Gerritzen, Jens Wiegand, Andreas Hornig, und Maik Gude. Modelling delamination in fibre-reinforced composites subjected to through-thickness compression by an adapted cohesive law. 14th European LS-DYNA Users Conference, DYNAmore GmbH, Oktober 2023. [PUMA: FIS_scads imported nopdf topic_engineering] URL

Christian Genest, Ostap Okhrin, und Taras Bodnar. Preface to the Special Issue “Copula modeling from Abe Sklar to the present day”. Journal of Multivariate Analysis, (201)Academic Press Inc., Mai 2024. [PUMA: FIS_scads imported nopdf topic_engineering]

Elias Werner, Nishant Kumar, Sunna Torge, Matthias Lieber, Arunima Raj, Stefan Gumhold, und Wolfgang E Nagel. Computational Performance Aware Benchmarking of Unsupervised Concept Drift Detection.. CoRR, 2023. [PUMA: area_bigdata imported nopdf topic_visualcomputing]

Ralf Mueller, Eric S. Dawson, Jens Meiler, Alice L. Rodriguez, Brian A. Chauder, Brittney S. Bates, Andrew S. Felts, Jeffrey P. Lamb, Usha N. Menon, Sataywan B. Jadhav, Alexander S. Kane, Carrie K. Jones, Karen J. Gregory, Colleen M. Niswender, P. Jeffrey Conn, Christopher M. Olsen, Danny G. Winder, Kyle A. Emmitte, und Craig W. Lindsley. Discovery of 2‐(2‐Benzoxazoyl amino)‐4‐Aryl‐5‐Cyanopyrimidine as Negative Allosteric Modulators (NAMs) of Metabotropic Glutamate Receptor 5 (mGlu5): From an Artificial Neural Network Virtual Screen to an In Vivo Tool Compound. ChemMedChem, (7)3:406–414, Wiley, Januar 2012. [PUMA: imported nopdf topic_lifescience] URL

Jens Meiler, und Matthias Köck. Novel methods of automated structure elucidation based on 13C NMR spectroscopy. Magnetic Resonance in Chemistry, (42)12:1042–1045, Wiley, Oktober 2004. [PUMA: imported nopdf topic_lifescience] URL

Annalen Bleckmann, und Jens Meiler. Epothilones: Quantitative Structure Activity Relations Studied by Support Vector Machines and Artificial Neural Networks. QSAR & Combinatorial Science, (22)7:722–728, Wiley, Oktober 2003. [PUMA: imported nopdf topic_lifescience] URL