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: topic_lifescience Diseases/therapy, Electronic Eye FIS_scads Germany, Health Humans, Information Interoperability/standards, Learning, Level Machine Ophthalmology Records/standards, Seven/standards,]
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: topic_lifescience Acute, Assessment, Care Electronic FIS_scads Health Hematology, Humans, Information Interoperability, Leukemia, Myeloid, Outcome Records,]
Assessing the Impact of Image Dataset Features on Privacy-Preserving Machine Learning. arXiv preprint arXiv:2409.01329, arXiv, September 2024. [PUMA: area_responsibleai area_bigdata (cs.CR), (cs.CV), (cs.LG), Computer Cryptography FOS: Learning Machine Pattern Recognition Security Vision and ep information sciences]
The Role and Potentials of Field User Interaction Data in the Automotive UX Development Lifecycle: An Industry Perspective. 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 141–150, Association for Computing Machinery, New York, NY, USA, 2020. [PUMA: experience in-vehicle information interview study systems user] URL
ICEBOAT: An Interactive User Behavior Analysis Tool for Automotive User Interfaces. Adjunct Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology, Association for Computing Machinery, New York, NY, USA, 2022. [PUMA: topic_visualcomputing Data Design Driving Human-Computer In-Vehicle Information Interaction Naturalistic System Tools Visualization] URL
Stability selection enables robust learning of partial differential equations from limited noisy data. arXiv, 2019. [PUMA: (cs.LG), (math.NA), (physics.data-an), Analysis Analysis, Computer Data FOS: Learning Machine Mathematics, Numerical Physical Probability Statistics and information sciences sciences,] URL
If there's a Trigger Warning, then where's the Trigger? Investigating Trigger Warnings at the Passage Level. arXiv, 2024. [PUMA: topic_language (cs.CL), (cs.CY), Computation Computer Computers FOS: Language Society and information sciences sciences,] URL
CauseNet: Towards a Causality Graph Extracted from the Web. Proceedings of the 29th ACM International Conference on Information & Knowledge Management, 3023–3030, Association for Computing Machinery, New York, NY, USA, 2020. [PUMA: causality extraction, graph, information knowledge] URL
The Impact of Negative Relevance Judgments on NDCG. Proceedings of the 29th ACM International Conference on Information & Knowledge Management, 2037–2040, Association for Computing Machinery, New York, NY, USA, 2020. [PUMA: cumulated discounted evaluation, gain, information judgements, normalized relevance reliability, retrieval, stability] URL
Estimating Topic Difficulty Using Normalized Discounted Cumulated Gain. Proceedings of the 29th ACM International Conference on Information & Knowledge Management, 2033–2036, Association for Computing Machinery, New York, NY, USA, 2020. [PUMA: cumulative difficulty discounted evaluation, gain, information normalized retrieval, topic] URL
MultiLens: Fluent Interaction with Multi-Functional Multi-Touch Lenses for Information Visualization. Proceedings of the 2016 ACM International Conference on Interactive Surfaces and Spaces, 139–148, Association for Computing Machinery, New York, NY, USA, 2016. [PUMA: exploration, focus+context graph information interaction, lenses, magic multi-touch visualization,] URL
SleeD: Using a Sleeve Display to Interact with Touch-sensitive Display Walls. Proceedings of the Ninth ACM International Conference on Interactive Tabletops and Surfaces, 129–138, Association for Computing Machinery, New York, NY, USA, 2014. [PUMA: arm collaboration, display display, information multi-touch, multi-user, visualization, wall, wearable] URL
Modeling Proficiency with Implicit User Representations. arXiv, 2021. [PUMA: (cs.CL), Computation Computer FOS: Language and information sciences sciences,] URL
A User Study on the Acceptance of Native Advertising in Generative IR. Proceedings of the 2024 Conference on Human Information Interaction and Retrieval, 142–152, Association for Computing Machinery, New York, NY, USA, 2024. [PUMA: topic_language Advertising Generative LLMs, Search information retrieval,] URL