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Proceedings of the International Conference on AI Transformation
Yam, Yeung [szerk.]
;
Baranyi, Péter [Baranyi, Péter Zoltán (Automatika és Inf...), szerk.] Corvinus Institute for Advanced Studies (BCE)
Angol nyelvű Tudományos
Megjelent: Corvinus University of Budapest, Budapest, Magyarország, 82 p.
2024
Konferencia:
International Conference on AI Transformation 2024 [Budapest, Magyarország]
Azonosítók
MTMT: 35891202
DOI:
10.14267/978-963-503-956-2
ISBN:
9789635039562
CorvinusKutatasok:
11002
Fejezetek
Szabados Levente. Ensuring Safety and Reliability in the Age of LLM Agents. (2024) Megjelent: Proceedings of the International Conference on AI Transformation pp. 9-9
Alshboul Jawad et al. A Generator-Evaluator Framework for Automatic Question Generation from Program Codes. (2024) Megjelent: Proceedings of the International Conference on AI Transformation pp. 19-20
Szűcs Judit et al. Creation of Digital Twins using Spatial Artificial Intelligence: A Pilot Study. (2024) Megjelent: Proceedings of the International Conference on AI Transformation pp. 21-22
Erika Baksáné Varga et al. Application of Process Discovery Methods for Identifying Successful Learning Procedures in Programming. (2024) Megjelent: Proceedings of the International Conference on AI Transformation pp. 23-24
Grotte Judit et al. Tailoring tourism decisions based on artificial intelligence to align with ideal preferences for accommodations. (2024) Megjelent: Proceedings of the International Conference on AI Transformation pp. 29-30
Bólya Anna Mária. Folk Dance Lab – Measuring Dancer’s Perception of NonIsochronous Meter with Motion Capture. (2024) Megjelent: Proceedings of the International Conference on AI Transformation pp. 40-43
Anna Viktória Strbik et al. Towards Incorporating AI to Generate Personalized and Adaptive Serious Game Settings. (2024) Megjelent: Proceedings of the International Conference on AI Transformation p. 43
Tamás Pusztai et al. Different Type of Metrics to Evaluate Large Language Models. (2024) Megjelent: Proceedings of the International Conference on AI Transformation p. 45
Mercédesz Porkoláb et al. Estimating the difficulty level of puzzle games using artificial intelligence. (2024) Megjelent: Proceedings of the International Conference on AI Transformation p. 46
Panka Szalka et al. Fine Motor Skill Assessment Using Computer Vision. (2024) Megjelent: Proceedings of the International Conference on AI Transformation p. 48
Máté Ákos Tündik et al. Question-answering on top of telecom related documents: successes and pitfalls. (2024) Megjelent: Proceedings of the International Conference on AI Transformation pp. 51-52
Artyom Puskin et al. Enhancing Connectome Analysis through Multimodal Neuroimaging Fusion and Machine Learning Techniques. (2024) Megjelent: Proceedings of the International Conference on AI Transformation p. 53
Hajdu Csaba et al. Modeling neural networks with hypergraphs via tensor-based views. (2024) Megjelent: Proceedings of the International Conference on AI Transformation pp. 60-62
Orbán Gábor et al. Cognitive Schema Fitting (CSF): An Autonomous Multi-Agent AI Framework for Dynamic Prompt Engineering in Large Language Models. (2024) Megjelent: Proceedings of the International Conference on AI Transformation pp. 68-69
Horváth Ildikó et al. SmartBook: AI-Powered Personalized Learning Experience. (2024) Megjelent: Proceedings of the International Conference on AI Transformation pp. 71-72
Vránics Márton. AI Solutions for Addressing Cognitive Bias in Tabletop RPG Experiences. (2024) Megjelent: Proceedings of the International Conference on AI Transformation pp. 73-74
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