Mimicking clinical trials with synthetic acute myeloid leukemia patients using generative artificial intelligence. NPJ Digit. Med., (7)1:76, März 2024. [PUMA: Yaff ai artificial clinical generative intelligence leukemia myeloid synthetic trials]
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]
Democratising Artificial Intelligence for Pandemic Preparedness and Global Governance in Latin American and Caribbean Countries. arXiv, 2024. [PUMA: Artificial Computer FOS Intelligence Zno and information sciences] URL
NFDI4DS Transfer and Application. Gesellschaft für Informatik e.V., 2023. [PUMA: Artificial Data Infrastructures Intelligence NFDI NFDI4DS Research Science Zno] URL
How Does Explainability Look in Hybrid User Interfaces?. 251--256, 16.10.2023. [PUMA: topic_visualcomputing FIS_scads artificial explainable hybrid intelligence, interfaces, mixed reality user] URL
Adaptive weighting of Bayesian physics informed neural networks for multitask and multiscale forward and inverse problems. Journal of computational physics, (491)Academic Press Inc., 15.10.2023. [PUMA: topic_lifescience Adaptive Artificial Bayesian Carlo, FIS_scads Hamiltonian Intelligence, Monte Multi-objective Quantification Uncertainty learning, networks, neural physics-informed training, weight]
SetQuence & SetOmic: Deep set transformers for whole genome and exome tumour analysis. BioSystems, (235)Elsevier, Januar 2024. [PUMA: topic_federatedlearn livinglab Artificial Biomedical Exome/genetics, FIS_scads Humans, Intelligence, Medical Neoplasms/genetics Oncology, Research,]
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, 16.09.2024. [PUMA: area_responsibleai FIS_scads artificial conceptions intelligence, interview learning, machine mental misconceptions, models, qualitative research, students study,]
Brief Summary of Existing Research on Students’ Conceptions of AI. 1--2, Oktober 2022. [PUMA: area_responsibleai FIS_scads artificial beliefs, conceptions, education, ideas, intelligence, k-12 learning, machine mental models, preconceptions]
Secondary school students' mental models and attitudes regarding artificial intelligence - A scoping review. Computers and education: artificial intelligence, (5)5:1--13, Elsevier Science B.V., Januar 2023. [PUMA: area_responsibleai Artificial Attitudes, Conceptions, FIS_scads K-12 Mental Scoping education, intelligence, models, review]
Deep reinforcement learning with artificial microswimmers. Emerging Topics in Artificial Intelligence (ETAI) 2022, (12204):104--110, 2022. [PUMA: topic_physchemistry Deep artificial learning microswimmers reinforcement]
Wie bereit sind Studierende für die Nutzung von KI-Technologien? Eine Annäherung an die KI-Readiness Studierender im Kontext des Projektes "tech4comp". Waxmann : Münster ; New York, 2021. [PUMA: (Learning 370 Activities), Artificial Assessment, Bewertung, Bildungswesen, Deployment Digitale Education, Empirical Empirische Erziehung, Forschung, Higher Hochschule, Hochschullehre, Human Intelligenz, Judgement, Judgment, K\"{u}nstliche Learning Lernprozess, Male Medien, Medieneinsatz, Mediennutzung, Mensch, Nachteil, Project, Projects Projekt, Qualitative Schul- Student, Technologie, Technology, University Untersuchung, Use Utilisation Utilization Vergleich, Vorteil, being, education institute, intelligence, lecturing, media, of process, research student, study, teaching, und] URL
Artificial intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology. J. Hepatol., (77)1:116--127, Elsevier BV, Juli 2022. [PUMA: topic_lifescience artificial deep gene image immune intelligence; learning; pathology; signatures; slide whole]
Explainable artificial intelligence in skin cancer recognition: A systematic review. Eur. J. Cancer, (167):54--69, Elsevier BV, Mai 2022. [PUMA: topic_lifescience Artificial Dermatology; Man-machine Skin Systematic intelligence; neoplasms; review systems;]
Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology. Med. Image Anal., (79)102474:102474, Elsevier BV, Juli 2022. [PUMA: topic_lifescience Artificial Computational Convolutional Learning; Multiple-Instance Vision Weakly-supervised deep intelligence; learning networks; neural pathology; transformers;]
Weakly supervised annotation-free cancer detection and prediction of genotype in routine histopathology. J. Pathol., (256)1:50--60, Wiley, Januar 2022. [PUMA: topic_lifescience Lynch artificial cancer; colorectal computational deep digital instability intelligence; learning; microsatellite pathology; syndrome;]
Deep learning identifies inflamed fat as a risk factor for lymph node metastasis in early colorectal cancer. J. Pathol., (256)3:269--281, Wiley, März 2022. [PUMA: topic_lifescience AI; LNM adipose and artificial biomarker; bowel cancer; colorectal deep digital early inflamed intelligence; learning; metastasis; new pT1 pT2 pathology; prediction predictive tissue;]
Artificial intelligence to identify genetic alterations in conventional histopathology. J. Pathol., (257)4:430--444, Wiley, Juli 2022. [PUMA: topic_lifescience analysis; artificial biomarker; image intelligence; oncology precision]
Model soups improve performance of dermoscopic skin cancer classifiers. Eur. J. Cancer, (173):307--316, Elsevier BV, September 2022. [PUMA: topic_lifescience Artificial Calibration; Deep Dermatology; Ensembles; Generalisation; Melanoma; Model Nevus; Robustness intelligence; learning; soups;]
Artificial intelligence-based detection of FGFR3 mutational status directly from routine histology in bladder cancer: A possible preselection for molecular testing?. Eur. Urol. Focus, (8)2:472--479, Elsevier BV, März 2022. [PUMA: topic_lifescience Artificial Bladder Deep FGFR3 Molecular cancer; factor fibroblast for growth intelligence; learning; mutations; receptor testing therapy]