Advances in Artificial Intelligence and Applied Cognitive Computing (eng)
Idioma: inglés
Editorial: Springer, 2021
Serie: Libro 9 de 10 - Transactions on Computational Science and Computational Intelligence
- Tapa dura
- Nuevo

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N° de ref. del artículo b8ace2ce2f8ebf094710c22a2191b4e5
- Título
- Advances in Artificial Intelligence and Applied Cognitive Computing (eng)
- Autor
- Arabnia, Hamid R.
- Editorial
- Springer
- Año de publicación
- 2021
- Estado
- new
- Encuadernación
- Encuadernación de tapa dura
- Idioma
- inglés
- ISBN 10
- 3030702952
- ISBN 13
- 9783030702953
- Peso del artículo
- 2,16 kilogramos
- Serie
- Libro 9 de 10: Transactions on Computational Science and Computational Intelligence
The book presents the proceedings of two conferences: The 22nd International Conference on Artificial Intelligence (ICAI’20) and The 4th International Conference on Applied Cognitive Computing (ACC’20). The conferences took place in Las Vegas, NV, USA, July 27-30, 2020, and are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Topics include: deep learning; neural networks; brain models; cognitive science; natural language processing; fuzzy logic and soft computing (ICAI) and novel computationally intelligent algorithms; bio inspired cognitive algorithms; modeling human brain processing systems (ACC); and more. Authors include academics, researchers, and professionals.
- Presents the proceedings of two conferences as part of the 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20);
- Includes the tracks: artificial intelligenceand applied cognitive computing;
- Features papers from the 22nd International Conference on AI (ICAI’20) and the 4th International Conference on Applied Cognitive Computing (ACC’20).
“Sinopsis” puede pertenecer a otra edición de este título.
Acerca del autor
Ken Ferens is an Assistant Professor at the Department of Electrical and Computer Engineering (ECE), University of Manitoba, Canada. He is the Computer Engineering Champion in the Centre for Engineering Professional Practice and Engineering Education. He is the director of the Applied Cognitive Intelligence (ACI) Research Group in the Department of ECE. He obtained his Ph.D. in 1996 from the University of Manitoba, and is a member of The Association of Professional Engineers and Geoscientists of the Province of Manitoba. He has authored over 100 publications in his research areas. Dr. Ferens is a senior member of the Institute of Electrical & Electronics Engineers (IEEE); a member of the Canadian Engineering Education Association; the Chair of the EduManCom Chapter of the IEEE; the Vice-Chair of the Computer and Computational Intelligence Chapter of the IEEE; and the Chair of the Industry, Teaching Assistants, and Student Forums, for Engineering Curriculum Review and Improvement.
David de la Fuente is a Full Professor of Oviedo University, from 2010. He has published 144 papers (h-index of 22). His area of research includes: Artificial Intelligence, Forecasting, Simulation, and Fuzzy set theory. He has organized a number of international workshops and sessions. Dr. Fuente's research results in the area of decision support systems have been show-cased in a number of publications. He is also known for his research contributions in the area of operational research. He has presented invited talks in the area of Artificial Intelligence and applications in industry. He has refereed for numerous journals and book publishers. He is an active member of the AI research community.
Elena B. Kozerenko is the Head of Computational Linguistics and Cognitive Text Processing Research Group and Leading Researcher of the Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, Institute of Informatics Problems (1984-Present); Ph.D. - Theoretical Foundations of Informatics (Computational Linguistics) - 1995; Specialist (equal to MA Degree) - Applied and Structural Linguistics, English and Italian Languages, 1981, Diploma with Excellence, Minsk State Linguistic University, Belarus (Former Soviet Union). Synergistic Activities include: Author of Cognitive Transfer Grammar formalism, i.e. the syntactic-semantic processor based on the system of rules presented in the constraint-based formalism called the Cognitive Transfer Grammar for the English-Russian machine translation system Cognitive Translator. Chair of the International Workshop "Intelligent Linguistic Technologies" of the ICAI 2003 - 2019, and Lingware 2019 Session - CSCI'19. Dr. Kozerenko has 63 research publications in scientific journals and research proceedings. Teaching and academic activities include: Moscow Pedagogical State University, Institute "Higher School of Education" Job Title: Chair for Computational Linguistics and Formal Language Models (part time job); Job Description: Administration of the Educational Programs in Theoretical, General, Typological Linguistics, Educational Program Director in Computational Linguistics and Formal Language Models, Professor in Gereral and Computational Linguistics, Linguistic Semantics, Syntax, Language Corpora.
Professor Jose Angel Olivas Varela received his M.S. degree in Philosophy in 1990 (USC, Spain), Master on Knowledge Engineering of the Department of Artificial Intelligence, UPM in 1992, and his Ph.D. in Computer Science in 2000 (UCLM, Spain). In 2001, he was Postdoc Visiting Scholar at Lotfi A. Zadeh's (father of Fuzzy Logic) BISC (Berkeley Initiative in Soft Computing), University of California-Berkeley, USA. He is affiliated with BISC and with the Artificial Intelligence Center of the SRI International of the Stanford University (Prof. Richard Waldinger). His current main research interests are in the field of Soft Computing for Information Retrieval, Data Analysis and Artificial Intelligenceand Knowledge Engineering applications. He received the Environment Research Award 2002 from the Madrid Council (Spain) for his PhD. Thesis. Author of more than 250 scientific contributions. He has provided his expertise to corporations and also has chaired a number of technical and research workshops in his areas of expertise. He has edited a number of books and guest edited for various journals.
Fernando G. Tinetti has a PhD in Computer Science and is a Professor at Facultad de Informatica, Universidad Nacional de La Plata, La Plata, Argentina. He is also a researcher of the Comision Investigaciones Cientificas de la Provincia de Buenos Aires, Argentina. He is a recipient of the NSF-TCPP Early Adopter Award, NSF/IEEE-TCPP, Curriculum Initiative on Parallel and Distributed Computing. He is the author/co-author of more than one hundred papers in International Journals and Computer Science Conferences. His areas of interest and experience include: High Performance Computing, Parallel and Distributed Computing, Cloud and Edge Computing, Real-Time Systems and Applications, Big Data Processing, Data Center and Infrastructure Performance Evaluation, Robotic Systems and Applications. He has co-edited a number of books in HPC.
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