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  • Case-Based Reasoning Research and Development

    34th International Conference, ICCBR 2026, Bremen, Germany, August 13–16, 2026, Proceedings

    Edited by Lukas Malburg, Kerstin Bach ...
    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed proceedings of the 34th International Conference on Case-Based Reasoning Research and Development, ICCBR 2026, held in Bremen, Germany, during August 13–16, 2026.The 36 full papers included in this book were carefully reviewed and selected from 85 submissions. They were organized in topical sections as follows: Foundations, Retrieval, and the State of CBR; ... Read more

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  • Case-Based Reasoning Research and Development

    27th International Conference, ICCBR 2019, Otzenhausen, Germany, September 8–12, 2019, Proceedings

    Edited by Kerstin Bach, Cindy Marling ...
    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed proceedings of the 27th International Conference on Case-Based Reasoning Research and Development, ICCBR 2019, held in Otzenhausen, Germany, in September 2019.The 26 full papers presented in this book were carefully reviewed and selected from 43 submissions. 15 were selected for oral presentation and 11 for poster presentation. The theme of ICCBR 2019, ... Read more

    $64.99 CAD

  • Nordic Artificial Intelligence Research and Development

    Third Symposium of the Norwegian AI Society, NAIS 2019, Trondheim, Norway, May 27–28, 2019, Proceedings

    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed proceedings of the Third Symposium of the Norwegian AI Society, NAIS 2019, held in Trondheim, Norway, in May, 2019. The 11 full papers and 3 short papers were carefully reviewed and selected from 21 submissions. The papers focus on all aspects of: artificial intelligence; machine learning; knowledge representation; robotics; planning and scheduling; natural ... Read more

    $64.99 CAD

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  • Deep Neural Networks and Data for Automated Driving

    Robustness, Uncertainty Quantification, and Insights Towards Safety

    Series series Engineering (R0)
    This open access book brings together the latest developments from industry and research on automated driving and artificial intelligence.Environment perception for highly automated driving heavily employs deep neural networks, facing many challenges. How much data do we need for training and testing? How to use synthetic data to save labeling costs for training? How do we increase robustness and ... Read more

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  • Artificial Intelligence Methods For Software Engineering

    Software is an integral part of our lives today. Modern software systems are highly complex and often pose new challenges in different aspects of Software Engineering (SE).Artificial Intelligence (AI) is a growing field in computer science that has been proven effective in applying and developing AI techniques to address various SE challenges.This unique compendium covers applications of state-of ... Read more

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  • Advances in Abstract Intelligence and Soft Computing

    Edited by Yingxu Wang ...
    Continuous developments in software and intelligence sciences have brought together the studies of both natural and machine intelligence and the relationship between the function of the brain and the abstract soft mind; creating a new multidisciplinary field of study. Advances in Abstract Intelligence and Soft Computing brings together the latest research in computer science: theoretical software ... Read more

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  • Transdisciplinary Advancements in Cognitive Mechanisms and Human Information Processing

    Edited by Yingxu Wang ...
    Cognitive informatics is a multidisciplinary field that acts as the bridge between natural science and information science. Specifically, it investigates the potential applications of information processing and natural intelligence to science and engineering disciplines. Transdisciplinary Advancements in Cognitive Mechanisms and Human Information Processing examines innovative research in the ... Read more

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  • Advances in Artificial Intelligence

    31st Canadian Conference on Artificial Intelligence, Canadian AI 2018, Toronto, ON, Canada, May 8–11, 2018, Proceedings

    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed proceedings of the 31th Canadian Conference on Artificial Intelligence, Canadian AI 2018, held in Toronto, ON, Canada, in May 2018.The 16 regular papers and 18 short papers presented together with 7 Graduate Student Symposium papers and 4 Industry Track papers were carefully reviewed and selected from 72 submissions. The focus of the conference was on artificial ... Read more

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  • Human and Machine Learning

    Visible, Explainable, Trustworthy and Transparent

    Edited by Jianlong Zhou, Fang Chen ...
    Series series Computer Science (R0)
    With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of “black-box” in ML methods, ML still needs to be interpreted to link human and machine learning for transparency and user acceptance of delivered solutions ... Read more

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  • Educational Data Mining

    Applications and Trends

    Edited by Alejandro Peña-Ayala ...
    Series series Engineering (R0)
    This book is devoted to the Educational Data Mining arena. It highlights works that show relevant proposals, developments, and achievements that shape trends and inspire future research. After a rigorous revision process sixteen manuscripts were accepted and organized into four parts as follows:· Profile: The first part embraces three chapters oriented to: 1) describe the nature of educational ... Read more

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  • Data-Driven Methods for Adaptive Spoken Dialogue Systems

    Computational Learning for Conversational Interfaces

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    Data driven methods have long been used in Automatic Speech Recognition (ASR) and Text-To-Speech (TTS) synthesis and have more recently been introduced for dialogue management, spoken language understanding, and Natural Language Generation. Machine learning is now present “end-to-end” in Spoken Dialogue Systems (SDS). However, these techniques require data collection and annotation campaigns, ... Read more

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