Developing a Fluvial and Pluvial Stochastic Flood Model of Southeast Asia. Water Resources Research, (60 (2024))6Blackwell, Jun 3, 2024. [PUMA: FIS_scads models, modeling topic_mathfoundation exposure, stochastic Asia, flood, global population Southeast hydrological]
Digitalized composite material and product development – strategies and methods for multiscale experimental-numerical validation processes using PLM and MBSE approaches. ECCM21 - Proceedings of the 21st European Conference on Composite Materials, (3):1576--1583, European Society for Composite Materials (ESCM), Jul 2, 2024. [PUMA: FIS_scads segmentation, composites, process product x-ray data, synthetic hybrid topic_engineering computed experimental-numerical model-based woven event-driven training lifecycle/data structures, management, chains, fiber-reinforced systems validation, composite tomography engineering,] URL
Direct parameter identification for highly nonlinear strain rate dependent constitutive models using machine learning. ECCM21 - Proceedings of the 21st European Conference on Composite Materials, (3):1252--1259, European Society for Composite Materials (ESCM), Jul 2, 2024. [PUMA: Convolutional FIS_scads Fiber area_architectures neural plastics rate dependency, reinforced Direct Strain Machine learning, networks, identification, parameter topic_engineering] URL
Winter climate preconditioning of summer vegetation extremes in the Northern Hemisphere. Environmental research letters, (19)9IOP Publishing Ltd., Sep 1, 2024. [PUMA: FIS_scads area legacy events, winter index vegetation climate compound activity, extremes, leaf effects,]
Digital Companions for Learners: Design Principles for AI Assistants in Education. Jun 15, 2024. [PUMA: FIS_scads imported area_responsibleai] URL
Motivational Impacts of AI on Student Learning. Jun 16, 2024. [PUMA: FIS_scads imported area_responsibleai] URL
Efficient Axiomatization of OWL 2 EL Ontologies from Data by means of Formal Concept Analysis (Extended Abstract). In Laura Giordano, Jean Christoph Jung, and Ana Ozaki (Eds.), Proceedings of the 37th International Workshop on Description Logics (DL 2024), June 18--21, 2024, Bergen, Norway, RTWH Aachen, Jun 18, 2024. [PUMA: FIS_scads imported topic_knowledge]
The Dual Impact of AI in Academia: From Deskilling Risks to Upskilling Opportunities. Jun 25, 2024. [PUMA: FIS_scads imported area_responsibleai] URL
The Precise Complexity of Reasoning in ALC with ω-Admissible Concrete Domains. In Laura Giordano, Jean Christoph Jung, and Ana Ozaki (Eds.), Proceedings of the 37th International Workshop on Description Logics (DL 2024), (3739)CEUR-WS.org, June 2024. [PUMA: FIS_scads imported topic_knowledge]
Student Needs and the Role of AI Mentors in Higher Education. Jul 11, 2024. [PUMA: FIS_scads imported area_responsibleai] URL
Motivational Dynamics in AI-Enhanced Education: Unveiling Student Perspectives. Jul 12, 2024. [PUMA: FIS_scads imported area_responsibleai] URL
Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization. Proceedings of the Genetic and Evolutionary Computation Conference, 1007 -- 1016, Association for Computing Machinery (ACM), United States of America, Jul 14, 2024. [PUMA: FIS_scads imported topic_engineering]
Artificial neural network small-sample-bias-corrections of the AR(1) parameter close to unit root. Statistica Neerlandica, Wiley-Blackwell, Oxford u. a., Jul 31, 2024. [PUMA: FIS_scads small network, neural bias topic_engineering correction, sample]
Improving estimation for asymptotically independent bivariate extremes via global estimators for the angular dependence function. Extremes : statistical theory and applications in science, engineering and economics, (27)4Springer Science + Business Media, Dordrecht, Aug 13, 2024. [PUMA: FIS_scads imported topic_mathfoundation]
How to customize common data models for rare diseases: an OMOP-based implementation and lessons learned. Orphanet journal of rare diseases, (19)1BioMed Central, London, Aug 14, 2024. [PUMA: FIS_scads Humans, Rare topic_lifescience Diseases]
Synthetic Data Generation in Hematology - Paving the Way for OMOP and FHIR Integration. Studies in health technology and informatics, (316):1472--1476, IOS Press, Amsterdam u. a., Aug 22, 2024. [PUMA: FIS_scads Health Leukemia, Hematology, Information Electronic Care Humans, Acute, Assessment, Outcome topic_lifescience Interoperability, Records, Myeloid,]
Towards Standardizing Ophthalmic Data for Seamless Interoperability in Eye Care. Studies in health technology and informatics, (317):139--145, IOS Press, Amsterdam u. a., Aug 30, 2024. [PUMA: FIS_scads Learning, Health Diseases/therapy, Germany, Interoperability/standards, Information Electronic Machine Humans, Eye Records/standards, topic_lifescience Ophthalmology Seven/standards, Level]
Identifying Secondary School Students' Misconceptions about Machine Learning: An Interview Study. WiPSCE '24: Proceedings of the 19th WiPSCE Conference on Primary and Secondary Computing Education Research, 1--10, Association for Computing Machinery, Sep 16, 2024. [PUMA: FIS_scads models, students mental misconceptions, artificial research, intelligence, qualitative study, learning, machine interview area_responsibleai conceptions]
Dynamic tail risk forecasting: what do realized skewness and kurtosis add?. Sep 20, 2024. [PUMA: FIS_scads topic_engineering econ.EM]
Secure and Effective AI-based Learning Systems: Integrating Federated Learning and Large Language Models for Privacy-Preservation in Education. Sep 26, 2024. [PUMA: FIS_scads imported area_responsibleai] URL