Suchergebnisse - "102001 Artificial Intelligence"

Zwei Wege der Künstlichen Intelligenz

Autoren: Fellner, Hannes

Quelle: Marxistische Blätter. 4(2025):1-9

Schlagwörter: SDG 12 – Nachhaltige/r Konsum und Produktion, Innovation und Infrastruktur, 102001 Artificial intelligence, 502027 Politische Ökonomie, and Infrastructure, 102001 Artificial Intelligence, 502027 Political economy, SDG 8 – Menschenwürdige Arbeit und Wirtschaftswachstum, SDG 8 - Decent Work and Economic Growth, SDG 9 – Industrie, Innovation, SDG 12 - Responsible Consumption and Production, SDG 9 - Industry

Zugangs-URL: https://ucrisportal.univie.ac.at/de/publications/65365682-c92a-4dc6-9897-a99140b96984

Geschichte und technologische Grundlagen der Künstlichen Intelligenz

Autoren: Fellner, Hannes

Quelle: Marxistische Blätter. 4(2025):28-37

Schlagwörter: Innovation und Infrastruktur, 102001 Artificial intelligence, and Infrastructure, 102001 Artificial Intelligence, SDG 8 – Menschenwürdige Arbeit und Wirtschaftswachstum, SDG 8 - Decent Work and Economic Growth, 211918 Technical history, SDG 9 – Industrie, Innovation, 211918 Technikgeschichte, SDG 9 - Industry

Zugangs-URL: https://ucrisportal.univie.ac.at/de/publications/98578469-9d6e-47ed-a2ea-73d4d1056981

Influences on LLM Calibration: A Study of Response Agreement, Loss Functions, and Prompt Styles

Autoren: Xia, Yuxi Luz de Araujo, Pedro Henrique Zaporojets, Klim et al.

Quelle: Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). :3740-3761

Schlagwörter: FOS: Computer and information sciences, Computer Science - Computation and Language, 102001 Artificial intelligence, 102001 Artificial Intelligence, Computation and Language (cs.CL)

Zugangs-URL: http://arxiv.org/abs/2501.03991

Qualitative Coding in the Age of AI: An Ontology-Driven Approach

Autoren: Dobriy, Daniel Polleres, Axel

Schlagwörter: 102030 Semantische Technologien, 102028 Knowledge Engineering, 102001 Artificial intelligence, 102030 Semantic technologies, 102001 Artificial Intelligence, 605007 Digital Humanities, 102028 Knowledge engineering, 605007 Digital humanities

Zugangs-URL: https://research.wu.ac.at/de/publications/10864056-f63c-493f-b701-c9a2b380e30c

Artificial intelligence for early detection of lung cancer in GPs’ clinical notes: a retrospective observational cohort study: a retrospective observational cohort study

Autoren: Martijn C Schut Torec T Luik Iacopo Vagliano et al.

Quelle: Br J Gen Pract

Schlagwörter: general practice, lung cancer, machine learning, SDG 3 - Good Health and Well-being, 102001 Artificial intelligence, SDG 3 – Gesundheit und Wohlergehen, Research, oncology, 102001 Artificial Intelligence, natural language processing, 102020 Medical informatics, early detection, 102020 Medizinische Informatik

Zugangs-URL: https://ucrisportal.univie.ac.at/de/publications/dc679e95-a026-404f-92e2-2a6da7e02e03
https://doi.org/10.3399/BJGP.2023.0489

Integrating Machine Learning-Based Pose Sampling with Established Scoring Functions for Virtual Screening

Autoren: Thi Ngoc Lan Vu Hosein Fooladi Johannes Kirchmair

Quelle: J Chem Inf Model

Schlagwörter: Machine Learning, Molecular Docking Simulation, 106005 Bioinformatik, Preclinical/methods, Protein Conformation, 102001 Artificial intelligence, 102001 Artificial Intelligence, Drug Evaluation, 106005 Bioinformatics, 301207 Pharmazeutische Chemie, Article, 301207 Pharmaceutical chemistry, Proteins/chemistry

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/40343848

A Multi Echelon Location-Routing-Inventory Model for a Supply Chain Network: NSGA II and Multi-Objective Whale Optimization Algorithm

Autoren: Reza Pourhassan, Mohammed Reza Khadem Roshandeh, Mohammed Ghasemi, Peiman et al.

Quelle: International Journal of Supply and Operations Management. 12(1):81-104

Schlagwörter: Meta-heuristic Algorithm, 102001 Artificial intelligence, Allocation, Inventory, 102001 Artificial Intelligence, Facility location, Vehicle Routing

Zugangs-URL: https://ucrisportal.univie.ac.at/de/publications/d8619f39-bdd0-4881-b926-09708b234a50

TEXTMINR – INTEGRATING AI IN LITERATURE AND MEDIA EDUCATION

Autoren: Posekany, Alexandra Dolezal, Dominik

Quelle: ICERI Proceedings. 1:5068-5075

Schlagwörter: 102033 Data Mining, 102001 Artificial intelligence, 102033 Data mining, 503032 Teaching and learning research, 102001 Artificial Intelligence, 503032 Lehr- und Lernforschung

Zugangs-URL: https://ucrisportal.univie.ac.at/de/publications/d0cf4636-5baa-458b-9ac6-de2d50da4554
https://doi.org/10.21125/iceri.2024.1244

Spatial Task-Explicity Matters in Prompting Large Multimodal Models for Spatial Planning

Autoren: Ivan Majic Zhangyu Wang Krzysztof Janowicz et al.

Quelle: Proceedings of the 7th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery. :99-105

Schlagwörter: 102035 Data science, 102001 Artificial intelligence, 507003 Geoinformatik, GeoAI, 102001 Artificial Intelligence, 102035 Data Science, 507003 Geoinformatics, task-explicity, multi-modal prompts, spatial reasoning, large multimodal models (LMM)

Zugangs-URL: https://ucrisportal.univie.ac.at/de/publications/5fa8d97f-6428-48ef-87a9-f301db306386
https://doi.org/10.1145/3687123.3698293

RAGE-KG 2024: Retrieval-Augmented Generation Enabled by Knowledge Graphs 2024: Proceedings of the International Workshop on Retrieval-Augmented Generation Enabled by Knowledge Graphs

Autoren: Dobriy, Daniel Osborne, Francesco Polleres, Axel et al.

Schlagwörter: 102030 Semantische Technologien, 102028 Knowledge Engineering, 102001 Artificial intelligence, 102027 Web Engineering, 102030 Semantic technologies, 102001 Artificial Intelligence, 102028 Knowledge engineering, 102027 Web engineering

Zugangs-URL: https://research.wu.ac.at/de/publications/6cf94354-3df6-49ca-ab04-dda8a695c4e0

Supporting Architectural Decision Making on Training Strategies in Reinforcement Learning Architectures

Autoren: Ntentos, Evangelos Warnett, Stephen John Zdun, Uwe

Quelle: 2024 IEEE 21st International Conference on Software Architecture (ICSA). :90-100

Schlagwörter: Machine Learning, Software Architecture, 102019 Machine Learning, 102001 Artificial intelligence, Grounded Theory, 102001 Artificial Intelligence, 102019 Machine learning, Reinforcement Learning, Design Decisions

Zugangs-URL: https://ucrisportal.univie.ac.at/de/publications/a9334bda-cc11-4468-a8bd-d5256a8646e6
https://doi.org/10.1109/ICSA59870.2024.00017

Revisiting Edge AI: Opportunities and Challenges: Opportunities and Challenges

Autoren: Tobias Meuser Lauri Lovén Monowar Bhuyan et al.

Weitere Verfasser: Tobias Meuser Lauri Lovén Monowar Bhuyan et al.

Quelle: IEEE Internet Computing, Vol. 28, no.4, p. 49-59 (2024)
IEEE INTERNET COMPUTING

Schlagwörter: Artificial intelligence, Technology and Engineering, Data models, 102001 Artificial Intelligence, 102034 Cyber-physical systems, Edge computing, 02 engineering and technology, 102038 Cloud Computing, 102038 Cloud computing, 102001 Artificial intelligence, 102034 Cyber-Physical Systems, Machine learning, Data collection, 0202 electrical engineering, electronic engineering, information engineering, Training, Inference algorithms, 102015 Information systems, 102015 Informationssysteme

Dateibeschreibung: application/pdf

Zugangs-URL: https://hdl.handle.net/2078.1/293851
https://biblio.ugent.be/publication/01J6VNKNPHM3PFM230CEWFH9V1/file/01J6VRJEYGPVTEP1NYR51JQY46
http://doi.org/10.1109/MIC.2024.3383758
https://biblio.ugent.be/publication/01J6VNKNPHM3PFM230CEWFH9V1
http://hdl.handle.net/1854/LU-01J6VNKNPHM3PFM230CEWFH9V1

E-GuARD: expert-guided augmentation for the robust detection of compounds interfering with biological assays: expert-guided augmentation for the robust detection of compounds interfering with biological assays

Autoren: Palmacci, Vincenzo Nahal, Yasmine Welsch, Matthias et al.

Weitere Verfasser: Palmacci, Vincenzo Nahal, Yasmine Welsch, Matthias et al.

Quelle: J Cheminform
Journal of Cheminformatics, Vol 17, Iss 1, Pp 1-15 (2025)
Journal of Cheminformatics

Schlagwörter: Chemistry, 102019 Machine Learning, 102001 Artificial intelligence, Research, 102001 Artificial Intelligence, Information technology, 102019 Machine learning, T58.5-58.64, 301207 Pharmazeutische Chemie, QD1-999, 301207 Pharmaceutical chemistry

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/40301942
https://doaj.org/article/473afb0f10d6446a908bf4ecd63e845c
https://aaltodoc.aalto.fi/handle/123456789/135369

Can we expect AI to be wise? A Wisdom, knowledge (management), resonance, and cognitive science perspective

Autoren: Peschl, Markus F. Kaiser, Alexander Kerschbaum, Clemens

Schlagwörter: 501030 Cognitive science, 102001 Artificial intelligence, 501030 Kognitionswissenschaft, 102001 Artificial Intelligence, 603113 Philosophy, 603113 Philosophie

Zugangs-URL: https://ucrisportal.univie.ac.at/de/publications/5f7d4314-3f53-4888-9f28-07376263fdf9

Managing Entrepreneurial AI Ethics Risks

Autoren: Prem, Erich

Quelle: Technikzukünfte, Wissenschaft und Gesellschaft / Futures of Technology, Science and Society ISBN: 9783658455439

Schlagwörter: 502036 Risikomanagement, Ethics, Risikomanagement, Ethik, 502036 Risk management, Risk management, 211926 Technikethik, Artificial Intelligence, 102001 Artificial intelligence, Künstliche Intelligenz, 102001 Artificial Intelligence, 211926 Technology ethics

Zugangs-URL: https://ucrisportal.univie.ac.at/de/publications/48793ee4-faf1-4dfe-b650-5e547ecb2d1d

Shaping AI Behavior: A Q-Learning Driven Approach to Automatic Behavior Tree Creation

Autoren: Dworzanski, Ralph Hlavacs, Helmut

Quelle: 2024 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AIxVR). :241-245

Schlagwörter: 102001 Artificial intelligence, 102001 Artificial Intelligence

Zugangs-URL: https://ucrisportal.univie.ac.at/de/publications/54d65617-abb4-44bc-b1e6-0c5fe7743144

Collaborative Development of Modular Open Source Educational Resources for Natural Language Processing

Autoren: Aßenmacher, Matthias Stephan, Andreas Weissweiler, Leonie et al.

Weitere Verfasser: Aßenmacher, Matthias Stephan, Andreas Weissweiler, Leonie et al.

Quelle: Aßenmacher, M, Stephan, A, Weissweiler, L, Çano, E, Ziegler, I, Härttrich, M, Bischl, B, Roth, B, Heumann, C & Schütze, H 2024, Collaborative Development of Modular Open Source Educational Resources for Natural Language Processing . in S Al-azzawi, L Biester, G Kovacs, A Marasovic, L Mathur, M Mieskes & L Weissweiler (eds), Proceedings of the Sixth Workshop on Teaching NLP-TeachNLP 2024 . Association for Computational Linguistics (ACL), pp. 43-53, 6th Workshop on Teaching Natural Language Processing, TeachNLP 2024, Hybrid, Bangkok, Thailand, 15/08/2024 . < https://aclanthology.org/2024.teachingnlp-1.6/ >

Schlagwörter: 102001 Artificial intelligence, 102001 Artificial Intelligence

Dateibeschreibung: application/pdf

Zugangs-URL: https://ucrisportal.univie.ac.at/de/publications/65284dc2-9923-47cc-8bc9-ba6614692b87
https://curis.ku.dk/ws/files/407820404/Collaborative_Development_of_Modular_Open_Sourc.pdf

Analysing zero-shot temporal relation extraction on clinical notes using temporal consistency

Autoren: Kougia, Vasiliki Sedova, Anastasiia Stephan, Andreas et al.

Quelle: Proceedings of the 23rd Workshop on Biomedical Natural Language Processing. :72-84

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Computation and Language, 102019 Machine Learning, 102001 Artificial intelligence, 102001 Artificial Intelligence, 102019 Machine learning, Computation and Language (cs.CL), Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2406.11486

Counterfactual Reasoning with Knowledge Graph Embeddings

Autoren: Zellinger, Lena Stephan, Andreas Roth, Benjamin

Quelle: Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers). :2753-2772

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Computation and Language, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, 102001 Artificial intelligence, 102001 Artificial Intelligence, Computation and Language (cs.CL), Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2403.06936

Challenging Error Correction in Recognised Byzantine Greek

Autoren: Pavlopoulos, John Kougia, Vasiliki Garces Arias, Esteban et al.

Weitere Verfasser: Pavlopoulos, John Kougia, Vasiliki Garces Arias, Esteban et al.

Quelle: Proceedings of the 1st Workshop on Machine Learning for Ancient Languages (ML4AL 2024). :1-12

Schlagwörter: 102019 Machine Learning, 102001 Artificial intelligence, 102001 Artificial Intelligence, 102019 Machine learning, [SHS.LANGUE] Humanities and Social Sciences/Linguistics

Dateibeschreibung: application/pdf

Zugangs-URL: https://enc.hal.science/hal-05129986v1/document
https://enc.hal.science/hal-05129986v1
https://doi.org/10.18653/v1/2024.ml4al-1.1