Artificial Intelligence And Machine Learning For Open World Novelty


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Artificial Intelligence and Machine Learning for Open-world Novelty


Artificial Intelligence and Machine Learning for Open-world Novelty

Author:

language: en

Publisher: Elsevier

Release Date: 2024-02-20


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Advances in Computers, Volume presents innovations in computer hardware, software, theory, design and applications, with this updated volume including new chapters on - Contains novel subject matter that is relevant to computer science - Includes the expertise of contributing authors - Presents an easy to comprehend writing style

Multi-disciplinary Trends in Artificial Intelligence


Multi-disciplinary Trends in Artificial Intelligence

Author: Phatthanaphong Chomphuwiset

language: en

Publisher: Springer Nature

Release Date: 2021-06-26


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This book constitutes the refereed proceedings of the 14th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2021, held online in July 2021. The 13 full papers and 3 short papers presented were carefully reviewed and selected from 33 submissions. They cover a wide range of topics in theory, methods, and tools in AI sub-areas such as cognitive science, computational philosophy, computational intelligence, game theory, machine learning, multi-agent systems, natural language, representation and reasoning, data mining, speech, computer vision and the Web as well as their applications in big data, bioinformatics, biometrics, decision support, knowledge management, privacy, recommender systems, security, software engineering, spam filtering, surveillance, telecommunications, Web services, and IoT.

AI 2023: Advances in Artificial Intelligence


AI 2023: Advances in Artificial Intelligence

Author: Tongliang Liu

language: en

Publisher: Springer Nature

Release Date: 2023-11-26


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This two-volume set LNAI 14471-14472 constitutes the refereed proceedings of the 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, held in Brisbane, QLD, Australia during November 28 – December 1, 2023. The 23 full papers presented together with 59 short papers were carefully reviewed and selected from 213 submissions. They are organized in the following topics: computer vision; deep learning; machine learning and data mining; optimization; medical AI; knowledge representation and NLP; explainable AI; reinforcement learning; and genetic algorithm..