Machine learning and knowledge extra...
International Cross-Domain Conference for Machine Learning and Knowledge Extraction (2023 :)

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  • Machine learning and knowledge extraction = 7th IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2023, Benevento, Italy, August 29 - September 1, 2023 : proceedings /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Machine learning and knowledge extraction/ edited by Andreas Holzinger ... [et al.].
    其他題名: 7th IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2023, Benevento, Italy, August 29 - September 1, 2023 : proceedings /
    其他題名: CD-MAKE 2023
    其他作者: Holzinger, Andreas.
    團體作者: International Cross-Domain Conference for Machine Learning and Knowledge Extraction
    出版者: Cham :Springer Nature Switzerland : : 2023.,
    面頁冊數: xv, 320 p. :ill., digital ;24 cm.
    內容註: Controllable AI - An alternative to trustworthiness in complex AI systems? -- Efficient approximation of Asymmetric Shapley Values using Functional Decomposition -- Domain-Specific Evaluation of Visual Explanations for Application-Grounded Facial Expression Recognition -- Human-in-the-Loop Integration of Domain-Knowledge Graphs for Explainable and Federated Deep Learning -- The Tower of Babel in explainable Artificial Intelligence (XAI) -- Hyper-Stacked: Scalable and Distributed Approach to AutoML for Big Data -- Transformers are Short-text Classifiers -- Reinforcement Learning with Temporal-Logic-Based Causal Diagrams -- Using Machine Learning to Generate an ESG Dictionary -- Let me think! Investigating the effect of explanations feeding doubts about the AI advice -- Enhancing Trust in Machine Learning Systems by Formal Methods -- Sustainability Effects of Robust and Resilient Artificial Intelligence -- The Split Matters: Flat Minima Methods for Improving the Performance of GNNs -- Probabilistic framework based on Deep Learning for differentiating ultrasound movie view planes -- Standing Still is Not An Option: Alternative Baselines for Attainable Utility Preservation -- Memorization of Named Entities in Fine-tuned BERT Models -- Event and Entity Extraction from Generated Video Captions -- Fine-Tuning Language Models for Scientific Writing Support.
    Contained By: Springer Nature eBook
    標題: Computer science - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-031-40837-3
    ISBN: 9783031408373
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