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How to Improve the Adaptation Phase of the CBR in the Medical Domain3rd International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2019, Canterbury, United Kingdom. pp.168-177, ⟨10.1007/978-3-030-29726-8_11⟩
Conference papers
hal-02520032v1
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Explainable Artificial Intelligence: Concepts, Applications, Research Challenges and Visions4th International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2020, Dublin, Ireland. pp.1-16, ⟨10.1007/978-3-030-57321-8_1⟩
Conference papers
hal-03414756v1
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Detection of Diabetic Retinopathy and Maculopathy in Eye Fundus Images Using Deep Learning and Image Augmentation3rd International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2019, Canterbury, United Kingdom. pp.114-127, ⟨10.1007/978-3-030-29726-8_8⟩
Conference papers
hal-02520049v1
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Analytical Platform Based on Jbowl Library Providing Text-Mining Services in Distributed Environment3rd International Conference on Information and Communication Technology-EurAsia (ICT-EURASIA) and 9th International Conference on Research and Practical Issues of Enterprise Information Systems (CONFENIS), Oct 2015, Daejon, South Korea. pp.310-319, ⟨10.1007/978-3-319-24315-3_32⟩
Conference papers
hal-01466232v1
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Property-Based Testing for Parameter Learning of Probabilistic Graphical Models4th International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2020, Dublin, Ireland. pp.499-515, ⟨10.1007/978-3-030-57321-8_28⟩
Conference papers
hal-03414744v1
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Cooperation Between Data Analysts and Medical Experts: A Case Study4th International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2020, Dublin, Ireland. pp.173-190, ⟨10.1007/978-3-030-57321-8_10⟩
Conference papers
hal-03414736v1
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Machine Learning and Knowledge ExtractionSpringer International Publishing, LNCS-11713, 2019, Lecture Notes in Computer Science, 978-3-030-29725-1. ⟨10.1007/978-3-030-29726-8⟩
Books
hal-02520036v1
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Insights into Learning Competence Through Probabilistic Graphical Models3rd International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2019, Canterbury, United Kingdom. pp.250-271, ⟨10.1007/978-3-030-29726-8_16⟩
Conference papers
hal-02520054v1
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Feedback Matters! Predicting the Appreciation of Online Articles A Data-Driven Approach2nd International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2018, Hamburg, Germany. pp.147-159, ⟨10.1007/978-3-319-99740-7_10⟩
Conference papers
hal-02060049v1
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The European Legal Framework for Medical AI4th International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2020, Dublin, Ireland. pp.209-226, ⟨10.1007/978-3-030-57321-8_12⟩
Conference papers
hal-03414719v1
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Navigational User Interface Elements on the Left Side: Intuition of Designers or Experimental Evidence?13th International Conference on Human-Computer Interaction (INTERACT), Sep 2011, Lisbon, Portugal. pp.162-177, ⟨10.1007/978-3-642-23771-3_13⟩
Conference papers
hal-01590864v1
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KANDINSKY Patterns as IQ-Test for Machine Learning3rd International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2019, Canterbury, United Kingdom. pp.1-14, ⟨10.1007/978-3-030-29726-8_1⟩
Conference papers
hal-02520058v1
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Machine Learning for Family Doctors: A Case of Cluster Analysis for Studying Aging Associated Comorbidities and Frailty3rd International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2019, Canterbury, United Kingdom. pp.178-194, ⟨10.1007/978-3-030-29726-8_12⟩
Conference papers
hal-02520059v1
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Human activity recognition using recurrent neural networks1st International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2017, Reggio, Italy. pp.267-274, ⟨10.1007/978-3-319-66808-6_18⟩
Conference papers
hal-01629704v1
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