Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence PDF Author: Satinder Singh
Publisher: AAAI
ISBN: 9781577357841
Category : Computers
Languages : en
Pages : 954

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Book Description
The AAAI Conference on Artificial Intelligence promotes theoretical and applied AI research as well as intellectual interchange among researchers and practitioners. The technical program features substantial, original research and practices influencing AI's development throughout the world. Over the last few years we have seen a resurgence of interest in AI technologies from industry as well as an increase in interest in AI research from undergraduate and graduate students and faculty from around the world. As specialized conferences in machine learning, deep learning, natural language processing, and computer vision, thrive and grow, it is especially pleasing to note that AAAI, a venue that attracts papers from across the breadth of AI, is also thriving and growing. We believe there is tremendous value to bringing together the diverse communities with shared long-term goals, facilitating collaboration and transfer of ideas, as well as welcoming strong papers that cross subarea boundaries and may thus fall through the cracks. We trust AAAI will continue to provide such a venue The AAAI-17 program featured a comprehensive slate of tutorials, workshops, the satellite IAAI conference and the EAAI symposium, demos, videos, exhibits, invited talks and panels, student abstracts, and special presentations by senior members and representatives from affiliated communities. These activities were organized around a core of technical sessions comprising presentations of original research contributions. Volume 5 contains technical papers in natural language processing and text mining, planning and scheduling, reasoning under uncertainty, robotics, search and constraint satisfaction, and vision.

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence PDF Author: Satinder Singh
Publisher: AAAI
ISBN: 9781577357841
Category : Computers
Languages : en
Pages : 954

Get Book Here

Book Description
The AAAI Conference on Artificial Intelligence promotes theoretical and applied AI research as well as intellectual interchange among researchers and practitioners. The technical program features substantial, original research and practices influencing AI's development throughout the world. Over the last few years we have seen a resurgence of interest in AI technologies from industry as well as an increase in interest in AI research from undergraduate and graduate students and faculty from around the world. As specialized conferences in machine learning, deep learning, natural language processing, and computer vision, thrive and grow, it is especially pleasing to note that AAAI, a venue that attracts papers from across the breadth of AI, is also thriving and growing. We believe there is tremendous value to bringing together the diverse communities with shared long-term goals, facilitating collaboration and transfer of ideas, as well as welcoming strong papers that cross subarea boundaries and may thus fall through the cracks. We trust AAAI will continue to provide such a venue The AAAI-17 program featured a comprehensive slate of tutorials, workshops, the satellite IAAI conference and the EAAI symposium, demos, videos, exhibits, invited talks and panels, student abstracts, and special presentations by senior members and representatives from affiliated communities. These activities were organized around a core of technical sessions comprising presentations of original research contributions. Volume 5 contains technical papers in natural language processing and text mining, planning and scheduling, reasoning under uncertainty, robotics, search and constraint satisfaction, and vision.

ECAI 2023

ECAI 2023 PDF Author: K. Gal
Publisher: IOS Press
ISBN: 164368437X
Category : Computers
Languages : en
Pages : 3328

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Book Description
Artificial intelligence, or AI, now affects the day-to-day life of almost everyone on the planet, and continues to be a perennial hot topic in the news. This book presents the proceedings of ECAI 2023, the 26th European Conference on Artificial Intelligence, and of PAIS 2023, the 12th Conference on Prestigious Applications of Intelligent Systems, held from 30 September to 4 October 2023 and on 3 October 2023 respectively in Kraków, Poland. Since 1974, ECAI has been the premier venue for presenting AI research in Europe, and this annual conference has become the place for researchers and practitioners of AI to discuss the latest trends and challenges in all subfields of AI, and to demonstrate innovative applications and uses of advanced AI technology. ECAI 2023 received 1896 submissions – a record number – of which 1691 were retained for review, ultimately resulting in an acceptance rate of 23%. The 390 papers included here, cover topics including machine learning, natural language processing, multi agent systems, and vision and knowledge representation and reasoning. PAIS 2023 received 17 submissions, of which 10 were accepted after a rigorous review process. Those 10 papers cover topics ranging from fostering better working environments, behavior modeling and citizen science to large language models and neuro-symbolic applications, and are also included here. Presenting a comprehensive overview of current research and developments in AI, the book will be of interest to all those working in the field.

ECAI 2020

ECAI 2020 PDF Author: G. De Giacomo
Publisher: IOS Press
ISBN: 164368101X
Category : Computers
Languages : en
Pages : 3122

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Book Description
This book presents the proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), held in Santiago de Compostela, Spain, from 29 August to 8 September 2020. The conference was postponed from June, and much of it conducted online due to the COVID-19 restrictions. The conference is one of the principal occasions for researchers and practitioners of AI to meet and discuss the latest trends and challenges in all fields of AI and to demonstrate innovative applications and uses of advanced AI technology. The book also includes the proceedings of the 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020) held at the same time. A record number of more than 1,700 submissions was received for ECAI 2020, of which 1,443 were reviewed. Of these, 361 full-papers and 36 highlight papers were accepted (an acceptance rate of 25% for full-papers and 45% for highlight papers). The book is divided into three sections: ECAI full papers; ECAI highlight papers; and PAIS papers. The topics of these papers cover all aspects of AI, including Agent-based and Multi-agent Systems; Computational Intelligence; Constraints and Satisfiability; Games and Virtual Environments; Heuristic Search; Human Aspects in AI; Information Retrieval and Filtering; Knowledge Representation and Reasoning; Machine Learning; Multidisciplinary Topics and Applications; Natural Language Processing; Planning and Scheduling; Robotics; Safe, Explainable, and Trustworthy AI; Semantic Technologies; Uncertainty in AI; and Vision. The book will be of interest to all those whose work involves the use of AI technology.

Compendium of Neurosymbolic Artificial Intelligence

Compendium of Neurosymbolic Artificial Intelligence PDF Author: P. Hitzler
Publisher: IOS Press
ISBN: 1643684078
Category : Computers
Languages : en
Pages : 706

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Book Description
If only it were possible to develop automated and trainable neural systems that could justify their behavior in a way that could be interpreted by humans like a symbolic system. The field of Neurosymbolic AI aims to combine two disparate approaches to AI; symbolic reasoning and neural or connectionist approaches such as Deep Learning. The quest to unite these two types of AI has led to the development of many innovative techniques which extend the boundaries of both disciplines. This book, Compendium of Neurosymbolic Artificial Intelligence, presents 30 invited papers which explore various approaches to defining and developing a successful system to combine these two methods. Each strategy has clear advantages and disadvantages, with the aim of most being to find some useful middle ground between the rigid transparency of symbolic systems and the more flexible yet highly opaque neural applications. The papers are organized by theme, with the first four being overviews or surveys of the field. These are followed by papers covering neurosymbolic reasoning; neurosymbolic architectures; various aspects of Deep Learning; and finally two chapters on natural language processing. All papers were reviewed internally before publication. The book is intended to follow and extend the work of the previous book, Neuro-symbolic artificial intelligence: The state of the art (IOS Press; 2021) which laid out the breadth of the field at that time. Neurosymbolic AI is a young field which is still being actively defined and explored, and this book will be of interest to those working in AI research and development.

Advanced Deep Learning Applications in Big Data Analytics

Advanced Deep Learning Applications in Big Data Analytics PDF Author: Bouarara, Hadj Ahmed
Publisher: IGI Global
ISBN: 1799827933
Category : Computers
Languages : en
Pages : 351

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Book Description
Interest in big data has swelled within the scholarly community as has increased attention to the internet of things (IoT). Algorithms are constructed in order to parse and analyze all this data to facilitate the exchange of information. However, big data has suffered from problems in connectivity, scalability, and privacy since its birth. The application of deep learning algorithms has helped process those challenges and remains a major issue in today’s digital world. Advanced Deep Learning Applications in Big Data Analytics is a pivotal reference source that aims to develop new architecture and applications of deep learning algorithms in big data and the IoT. Highlighting a wide range of topics such as artificial intelligence, cloud computing, and neural networks, this book is ideally designed for engineers, data analysts, data scientists, IT specialists, programmers, marketers, entrepreneurs, researchers, academicians, and students.

Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)

Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS) PDF Author: John Ball
Publisher: MDPI
ISBN: 303921375X
Category : Technology & Engineering
Languages : en
Pages : 342

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Book Description
This book contains the latest research on machine learning and embedded computing in advanced driver assistance systems (ADAS). It encompasses research in detection, tracking, LiDAR and camera processing, ethics, and communications. Several new datasets are also provided for future research work. Researchers and others interested in these topics will find important advances contained in this book.

Innovative Advanced Materials for Energy Storage and Beyond

Innovative Advanced Materials for Energy Storage and Beyond PDF Author: Vijay Kumar Thakur
Publisher: MDPI
ISBN: 3039433709
Category : Technology & Engineering
Languages : en
Pages : 374

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Book Description
This highly informative and carefully presented book covers the most recent advances as well as comprehensive reviews addressing novel and state-of-the-art topics from active researchers in innovative advanced materials and hybrid materials, concerning not only their synthesis, preparation, and characterization but especially focusing on the applications of such materials with outstanding performance.

Advanced Methods and Deep Learning in Computer Vision

Advanced Methods and Deep Learning in Computer Vision PDF Author: E. R. Davies
Publisher: Academic Press
ISBN: 0128221496
Category : Technology & Engineering
Languages : en
Pages : 584

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Book Description
Advanced Methods and Deep Learning in Computer Vision presents advanced computer vision methods, emphasizing machine and deep learning techniques that have emerged during the past 5–10 years. The book provides clear explanations of principles and algorithms supported with applications. Topics covered include machine learning, deep learning networks, generative adversarial networks, deep reinforcement learning, self-supervised learning, extraction of robust features, object detection, semantic segmentation, linguistic descriptions of images, visual search, visual tracking, 3D shape retrieval, image inpainting, novelty and anomaly detection. This book provides easy learning for researchers and practitioners of advanced computer vision methods, but it is also suitable as a textbook for a second course on computer vision and deep learning for advanced undergraduates and graduate students. - Provides an important reference on deep learning and advanced computer methods that was created by leaders in the field - Illustrates principles with modern, real-world applications - Suitable for self-learning or as a text for graduate courses

7th International Conference on Gender Research

7th International Conference on Gender Research PDF Author: Professor Carmen-Pilar Martí Ballester
Publisher: Academic Conferences and publishing limited
ISBN: 1914587987
Category : Social Science
Languages : en
Pages : 515

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Book Description
These proceedings represent the work of contributors to the 7th International Conference on Gender Research (ICGR 2024), hosted by The Universitat Autonoma de Barcelona, Spain on 25-26 April 2024. The Conference Chair was Professor Carmen-Pilar Martí Ballester, from the Universitat Autonoma de Barcelona, Spain. ICGR is a well-established event on the academic research calendar and now in its 7th year the key aim of this diverse conference is to provide an opportunity for participants from different backgrounds and cultures to share ideas and meet the people who hold them. The scope of papers ensured an interesting two days. The subjects covered in these proceedings illustrate the wide range of topics that fall into this important and ever-growing area of research.

Accountable and Explainable Methods for Complex Reasoning over Text

Accountable and Explainable Methods for Complex Reasoning over Text PDF Author: Pepa Atanasova
Publisher: Springer Nature
ISBN: 3031515188
Category :
Languages : en
Pages : 208

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Book Description