Search Results - "Machine Learning"

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    Agile Processes in Software Engineering and Extreme Programming 20th International Conference, XP 2019, Montréal, QC, Canada, May 21-25, 2019, Proceedings /

    Published 2019
    Table of Contents: “…A local government case study -- The Future of Agile -- A taxonomy of software engineering challenges for machine learning sys-tems: An empirical investigation -- Evolution of Scrum Transcending Business Domains and the Future of Agile Management. .…”
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    Electronic eBook
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    Fundamental Approaches to Software Engineering 26th International Conference, FASE 2023, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 20...

    Published 2023
    Table of Contents: “…Regular Contributions -- ACoRe: Automated Goal-Conflict Resolution -- Nazareno Aguirre, Yves Le Traon and Mike Papadakis A Modeling Concept for Formal Verification of OS-Based Compositional Software -- Guldstrand Larsen and Marcel Baunach Compositional Automata Learning of Synchronous Systems -- Front-end JavaScript -- Democratizing Quality-Based Machine Learning Development through Extended Feature Models -- Efficient Bounded Exhaustive Input Generation from Program APIs -- Feature-Guided Analysis of Neural Networks -- JavaBIP meets VerCors: Towards the Safety of Concurrent Software Systems in Java -- Model-based Player Experience Testing with Emotion Pattern Verification -- Opportunistic Monitoring of Multithreaded Programs -- Parallel Program Analysis via Range Splitting -- Wehrheim Runtime Enforcement Using Knowledge Bases -- Specification and Validation of Normative Rules for Autonomous Agents -- Towards Log Slicing -- VAMOS: Middleware for Best-Effort Third-Party Monitoring -- Yet Another Model! …”
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    Electronic eBook
  20. 5300

    Recommender Systems: Legal and Ethical Issues

    Published 2023
    Table of Contents: “…Practical Reasoning, Digital Nudging, and Autonomy -- Chapter 8: Recommending Ourselvesto Death: values in the age of algorithms -- Part III: Designing and Evaluating Recommender Systems -- Chapter 9: Ethical and Legal Analysis of Machine Learning Based Systems: A Scenario Analysis of a Food Recommender System -- Chapter 10: Factors influencing trust and use of recommendation AI: A case study of diet improvement AI in Japan -- Chapter 11: Ethics of E-Learning Recommender Systems: Epistemic Positioning and Ideological Orientation.…”
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    Electronic eBook