Conferences related to Artificial Intelligence

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2014 IEEE International Conference on Systems, Man and Cybernetics - SMC

SMC2014 targets advances in Systems Science and Engineering, Human-Machine Systems, and Cybernetics involving state-of-art technologies interacting with humans to provide an enriching experience and thereby improving the quality of lives including theories, methodologies, and emerging applications.

  • 2013 IEEE International Conference on Systems, Man and Cybernetics - SMC

    SMC 2013 targets advances in Systems Science and Engineering Human-machine Systems and Cybernetics involving state-of-the-art technologies interacting with humans to provide an enriching experience and thereby improving the quality of lives including theories, methodologies and emerging applications.

  • 2012 IEEE International Conference on Systems, Man and Cybernetics - SMC

    Theory, research and technology advances including applications in all aspects of systems science and engineering, human machine systems, and emerging cybernetics.

  • 2011 IEEE International Conference on Systems, Man and Cybernetics - SMC

    Theory, research, and technology advances including applications in all aspects of systems science and engineering, human machine systems, and emerging cybernetics.

  • 2010 IEEE International Conference on Systems, Man and Cybernetics - SMC

    The 2010 IEEE International Conference on Systems, Man, and Cybernetics (SMC2010) provides an international forum that brings together those actively involved in areas of interest to the IEEE Systems, Man, and Cybernetics Society, to report on up-to-the-minute innovations and developments, to summarize the state-of-the-art, and to exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics.

  • 2009 IEEE International Conference on Systems, Man and Cybernetics - SMC

    The 2009 IEEE International Conference on Systems, Man, and Cybernetics (SMC2009) provides an international forum that brings together those actively involved in areas of interest to the IEEE Systems, Man, and Cybernetics Society, to report on up-to-the-minute innovations and developments, to summarize the state-of-the-art, and to exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics.


2013 12th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)

Cognitive Informatics (CI) is a cutting-edge and multidisciplinary research field that tackles the fundamental problems shared by modern informatics, computing, AI, cybernetics, computational intelligence, cognitive science, intelligence science, neuropsychology, brain science, systems science, software engineering, knowledge engineering, cognitive robots, scientific philosophy, cognitive linguistics, life sciences, and cognitive computing.

  • 2012 11th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)

    Cognitive informatics and Cognitive Computing are a transdisciplinary enquiry on the internal information processing mechanisms and processes of the brain and their engineering applications in cognitive computers, computational intelligence, cognitive robots, cognitive systems, and in the AI, IT, and software industries. The 11th IEEE Int l Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC 12) focuses on the theme of e-Brain and Cognitive Computers.

  • 2011 10th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)

    Cognitive Informatics and Cognitive Computing are a transdisciplinary enquiry on the internal information processing mechanisms and processes of the brain and their engineering applications in cognitive computers, computational intelligence, cognitive robots, cognitive systems, and in the AI, IT, and software industries. The 10th IEEE Int l Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC 11) focuses on the theme of Cognitive Computers and the e-Brain.

  • 2010 9th IEEE International Conference on Cognitive Informatics (ICCI)

    Cognitive Informatics (CI) is a cutting-edge and transdisciplinary research area that tackles the fundamental problems shared by modern informatics, computing, AI, cybernetics, computational intelligence, cognitive science, neuropsychology, medical science, systems science, software engineering, telecommunications, knowledge engineering, philosophy, linguistics, economics, management science, and life sciences.

  • 2009 8th IEEE International Conference on Cognitive Informatics (ICCI)

    The 8th IEEE International Conference on Cognitive Informatics (ICCI 09) focuses on the theme of Cognitive Computing and Semantic Mining. The objectives of ICCI'09 are to draw attention of researchers, practitioners, and graduate students to the investigation of cognitive mechanisms and processes of human information processing, and to stimulate the international effort on cognitive informatics research and engineering applications.

  • 2008 7th IEEE International Conference on Cognitive Informatics (ICCI)

    The 7th IEEE International Conference on Cognitive Informatics (ICCI 08) focuses on the theme of Cognitive Computers and Computational Intelligence. The objectives of ICCI 08 are to draw attention of researchers, practitioners and graduate students to the investigation of cognitive mechanisms and processes of human information processing, and to stimulate the international effort on cognitive informatics research and engineering applications.

  • 2007 6th IEEE International Conference on Cognitive Informatics (ICCI)

  • 2006 5th IEEE International Conference on Cognitive Informatics (ICCI)


2013 ACS International Conference on Computer Systems and Applications (AICCSA)

This International Conference on Computer Systems and Applications (AICCSA) is the premier Computer Science and Engineering Conference in the Middle East and North Africa. It is held every other year in an Arab country and intends to enhance the participation and the contribution of the Arab world in Information Technologies and to maximize its benefits. In general, the scope of AICCSA includes all aspects of the theory and practice of computer science and information technology, but, depending on the needs, specific topics and/or issues might be prioritized.

  • 2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA)

    An international conference that covers a broad range of information technology areas including Bioinformatics and Biomedical Engineering, Cloud and Grid Computing, Architecture and Systems, Databases, High Performance Computing, Reconfigurable and GPU Computing,Computer Networks and Security, Energy Efficient Computing, Wireless Systems and Sensor Networks.

  • 2010 IEEE/ACS International Conference on Computer Systems and Applications (AICCSA)

    AICCSA is the premier Computer Science and Engineering Conference in the Middle East and North Africa covering new advances in computer systems and their applications. Papers will cover the theoretical, conceptual, descriptive in nature, or a survey of the state of the art.

  • 2009 IEEE/ACS International Conference on Computer Systems and Applications (AICCSA)

    ICCSA is the premier Computer Science and Engineering Conference in the Middle East and North Africa


2013 IEEE 17th International Conference on Intelligent Engineering Systems (INES)

The aim of INES conference series is to provide researchers andpractitioners from industry and academia with a platform to report on recent developments inthe area of computational intelligence.


2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA)

The ETFA conference series is the prime, and largest, IEEE-sponsored event dedicated to factory automation and emerging technologies in industrial automation.The aim of the ETFA conference series is to provide researchers and practitioners from industry and academia with a platform to report on recent developments in the newly emerging areas of technology and their potential applications to factory automation.The technical success of the ETFA conference series also testifies to the rapid evolution of the area of industrial automation in the recent decades. The proceedings of the conference give a fairly accurate picture of the state of the art of the area. ETFA conferences were fortunate to attract high quality papers, many of which were later published in the IEEE Transactions on Industrial Electronics.

  • 2012 IEEE 17th Conference on Emerging Technologies & Factory Automation (ETFA 2012)

    The ETFA conference series is the prime, and largest, IEEE-sponsored event dedicated to factory automation and emerging technologies in industrial automation. The aim of the ETFA conference series is to provide researchers and practitioners with a platform to report on recent developments and their potential applications to factory automation.

  • 2011 IEEE 16th Conference on Emerging Technologies & Factory Automation (ETFA 2011)

    The aim of ETFA conference is to bring together researchers and practitioners from the industry and academia and provide them with a platform to report on recent advances and developments in the newly emerging areas of technology, as well as actual and potential applications to industrial and factory automation

  • 2010 IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010)

    The aim of the conference is to bring together researchers and practitioners from the industry and academia and provide them with a platform to report on recent advances and developments in the newly emerging areas of technology, as well as actual and potential applications to industrial and factory automation.

  • 2009 IEEE Conference on Emerging Technologies & Factory Automation (ETFA 2009)

    The aim of the conference is to bring together researchers and practitioners from the industry and academia and provide them with a platform to report on recent advances and developments in the newly emerging areas of technology, as well as actual and potential applications to industrial and factory automation.


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Periodicals related to Artificial Intelligence

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Computational Intelligence Magazine, IEEE

The IEEE Computational Intelligence Magazine (CIM) publishes peer-reviewed articles that present emerging novel discoveries, important insights, or tutorial surveys in all areas of computational intelligence design and applications.


Computer

Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.


Consumer Electronics, IEEE Transactions on

The design and manufacture of consumer electronics products, components, and related activities, particularly those used for entertainment, leisure, and educational purposes


Intelligent Systems, IEEE

IEEE Intelligent Systems, a bimonthly publication of the IEEE Computer Society, provides peer-reviewed, cutting-edge articles on the theory and applications of systems that perceive, reason, learn, and act intelligently. The editorial staff collaborates with authors to produce technically accurate, timely, useful, and readable articles as part of a consistent and consistently valuable editorial product. The magazine serves software engineers, systems ...


Intelligent Transportation Systems, IEEE Transactions on

The theoretical, experimental and operational aspects of electrical and electronics engineering and information technologies as applied to Intelligent Transportation Systems (ITS). Intelligent Transportation Systems are defined as those systems utilizing synergistic technologies and systems engineering concepts to develop and improve transportation systems of all kinds. The scope of this interdisciplinary activity includes the promotion, consolidation and coordination of ITS technical ...


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Most published Xplore authors for Artificial Intelligence

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Xplore Articles related to Artificial Intelligence

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Is it possible to make pixel-based radar image classification user-friendly?

R. Pisani; P. Riedel; A. Gomes; R. Mizobe; J. Papa 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

In this paper we would like to shed light the problem of efficiency and effectiveness of image classification in large datasets. As the amount of data to be processed and further classified has increased in the last years, there is a need for faster and more precise pattern recognition algorithms in or- der to perform online and offline training and ...


Cluster-based data oriented hashing

Sanaa Chafik; Imane Daoudi; Mounim A. El Yacoubi; Hamid El Ouardi 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2015

Many multidimensional hashing schemes have been actively studied in recent years, providing efficient nearest neighbor search. Generally, we can distinguish several hashing families, such as learning based hashing, which provides better hash function selectivity by learning the dataset distribution. The spacial hashing family proposes a suitable partition of the multidimensional space, more adapted to data points distribution. In spite of ...


Accurate Adware Detection Using Opcode Sequence Extraction

Raja Khurram Shahzad; Niklas Lavesson; Henric Johnson 2011 Sixth International Conference on Availability, Reliability and Security, 2011

Adware represents a possible threat to the security and privacy of computer users. Traditional signature-based and heuristic-based methods have not been proven to be successful at detecting this type of software. This paper presents an adware detection approach based on the application of data mining on disassembled code. The main contributions of the paper is a large publicly available adware ...


The Matrix Logarithm and the Continuization of a Discrete Process

Erik I. Verriest 1991 American Control Conference, 1991

The inverse problem of the discretization for a linear system is solved. It ties in with the basic theory of the matrix logarithm (which is multivalued). Conditions, in terms of the elementary divisors, are presented under which a given matrix has a real logarithm. It is further shown that an n-th order discrete system can always be "continuized" by a ...


Multi-agent based particle filter for moving object tracking

Yongping Li; Yanjiang Wang; Yujuan Qi; Hui Li 2010 International Conference on Computer Application and System Modeling (ICCASM 2010), 2010

When tracking the moving targets in video image sequences with the existing particle filter, usually the tracking performance is not satisfactory due to the particle degradation and particle diversity loss. In this paper, we propose a novel particle filtering algorithm. In the algorithm, the multi- agent co-evolutionary mechanism is introduced into the particle re-sampling process and make the particle become ...


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Educational Resources on Artificial Intelligence

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eLearning

Is it possible to make pixel-based radar image classification user-friendly?

R. Pisani; P. Riedel; A. Gomes; R. Mizobe; J. Papa 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

In this paper we would like to shed light the problem of efficiency and effectiveness of image classification in large datasets. As the amount of data to be processed and further classified has increased in the last years, there is a need for faster and more precise pattern recognition algorithms in or- der to perform online and offline training and ...


Cluster-based data oriented hashing

Sanaa Chafik; Imane Daoudi; Mounim A. El Yacoubi; Hamid El Ouardi 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2015

Many multidimensional hashing schemes have been actively studied in recent years, providing efficient nearest neighbor search. Generally, we can distinguish several hashing families, such as learning based hashing, which provides better hash function selectivity by learning the dataset distribution. The spacial hashing family proposes a suitable partition of the multidimensional space, more adapted to data points distribution. In spite of ...


Accurate Adware Detection Using Opcode Sequence Extraction

Raja Khurram Shahzad; Niklas Lavesson; Henric Johnson 2011 Sixth International Conference on Availability, Reliability and Security, 2011

Adware represents a possible threat to the security and privacy of computer users. Traditional signature-based and heuristic-based methods have not been proven to be successful at detecting this type of software. This paper presents an adware detection approach based on the application of data mining on disassembled code. The main contributions of the paper is a large publicly available adware ...


The Matrix Logarithm and the Continuization of a Discrete Process

Erik I. Verriest 1991 American Control Conference, 1991

The inverse problem of the discretization for a linear system is solved. It ties in with the basic theory of the matrix logarithm (which is multivalued). Conditions, in terms of the elementary divisors, are presented under which a given matrix has a real logarithm. It is further shown that an n-th order discrete system can always be "continuized" by a ...


Multi-agent based particle filter for moving object tracking

Yongping Li; Yanjiang Wang; Yujuan Qi; Hui Li 2010 International Conference on Computer Application and System Modeling (ICCASM 2010), 2010

When tracking the moving targets in video image sequences with the existing particle filter, usually the tracking performance is not satisfactory due to the particle degradation and particle diversity loss. In this paper, we propose a novel particle filtering algorithm. In the algorithm, the multi- agent co-evolutionary mechanism is introduced into the particle re-sampling process and make the particle become ...


More eLearning Resources

IEEE-USA E-Books

  • Artificial Intelligence and Automated Publishing Systems

    This chapter contains sections titled: Introduction, Optical Character Recognition, Vectorization, Declarative Formatting, Online Retrieval, The Future, Conclusion

  • Introduction and overview

    This chapter contains sections titled: 1.1 The schema mechanism: an overview, 1.2 Origins of constructivist AI: on the meaning of learning, 1.3 Guide to the rest of the book

  • Synopsis of Piagetian development

    This chapter contains sections titled: 2.1 Piagetian fundamentals, 2.2 First stage: reflex activity, solipsist images7, 2.3 Second stage: the coordination of primary schemas, 2.4 Third stage: secondary circular reactions, subjective permanence, 2.5 Fourth stage: coordination of secondary schemas, 2.6 Fifth stage: experiments on objects, 2.7 Sixth stage: simulation of events, 2.8 Subsequent periods: preoperational, concrete and formal operations, 2.9 Themes of Piagetian development

  • The schema mechanism

    Made-Up Minds addresses fundamental questions of learning and concept invention by means of an innovative computer program that is based on the cognitive-developmental theory of psychologist Jean Piaget. Drescher uses Piaget's theory as a source of inspiration for the design of an artificial cognitive system called the schema mechanism, and then uses the system to elaborate and test Piaget's theory. The approach is original enough that readers need not have extensive knowledge of artificial intelligence, and a chapter summarizing Piaget assists readers who lack a background in developmental psychology. The schema mechanism learns from its experiences, expressing discoveries in its existing representational vocabulary, and extending that vocabulary with new concepts. A novel empirical learning technique, marginal attribution, can find results of an action that are obscure because each occurs rarely in general, although reliably under certain conditions. Drescher shows that several early milestones in the Piagetian infant's invention of the concept of persistent object can be replicated by the schema mechanism.

  • Index

    Text, ConText, and HyperText presents recent developments in three related and important areas of technical communication: the design of effective documentation; the impact of new technology and research on technical writing; and the training and management of technical writers.The contributors are all authorities drawn from universities and industry who are active in defining and analyzing the role of computing in technical documentation and the role of documentation in the development of computing technology. This first synthesis of their diverse but related research provides a unique conceptualization of the field of computers and writing and documentation.The book first examines techniques for writing online documentation and the value of usability testing. It presents new research into the impact of human factors in screen design and designing online help, and looks at the impact of desktop publishing on documentation, and at visual literacy and graphic design.Artificial intelligence and documentation processing are then addressed with discussion of data acquisition, automated formatting in expert systems, and document databases; the uses of HyperText in documentation; and the future of technical writing in this new environment.Text, ConText, and HyperText concludes by examining the training and management of documentation groups: how they "learn to write" in industry, management of large-scale documentation projects and their effect on product development; and the "two cultures" of engineering and documentation.Edward Barrett is a Lecturer in the Writing Program at MIT. Text, ConText, and HyperText is included in the Information Systems series, edited by Michael Lesk.

  • Representational elements: structure and use

    This chapter contains sections titled: 3.1 Schemas, 3.2 Items, 3.3 Actions, 3.4 Control

  • No title

    Graphical models (e.g., Bayesian and constraint networks, influence diagrams, and Markov decision processes) have become a central paradigm for knowledge representation and reasoning in both artificial intelligence and computer science in general. These models are used to perform many reasoning tasks, such as scheduling, planning and learning, diagnosis and prediction, design, hardware and software verification, and bioinformatics. These problems can be stated as the formal tasks of constraint satisfaction and satisfiability, combinatorial optimization, and probabilistic inference. It is well known that the tasks are computationally hard, but research during the past three decades has yielded a variety of principles and techniques that significantly advanced the state of the art. In this book we provide comprehensive coverage of the primary exact algorithms for reasoning with such models. The main feature exploited by the algorithms is the model's graph. We present inference-based, m ssage-passing schemes (e.g., variable-elimination) and search-based, conditioning schemes (e.g., cycle-cutset conditioning and AND/OR search). Each class possesses distinguished characteristics and in particular has different time vs. space behavior. We emphasize the dependence of both schemes on few graph parameters such as the treewidth, cycle-cutset, and (the pseudo-tree) height. We believe the principles outlined here would serve well in moving forward to approximation and anytime-based schemes. The target audience of this book is researchers and students in the artificial intelligence and machine learning area, and beyond.

  • Management, Training, and Corporate Culture

    Text, ConText, and HyperText presents recent developments in three related and important areas of technical communication: the design of effective documentation; the impact of new technology and research on technical writing; and the training and management of technical writers.The contributors are all authorities drawn from universities and industry who are active in defining and analyzing the role of computing in technical documentation and the role of documentation in the development of computing technology. This first synthesis of their diverse but related research provides a unique conceptualization of the field of computers and writing and documentation.The book first examines techniques for writing online documentation and the value of usability testing. It presents new research into the impact of human factors in screen design and designing online help, and looks at the impact of desktop publishing on documentation, and at visual literacy and graphic design.Artificial intelligence and documentation processing are then addressed with discussion of data acquisition, automated formatting in expert systems, and document databases; the uses of HyperText in documentation; and the future of technical writing in this new environment.Text, ConText, and HyperText concludes by examining the training and management of documentation groups: how they "learn to write" in industry, management of large-scale documentation projects and their effect on product development; and the "two cultures" of engineering and documentation.Edward Barrett is a Lecturer in the Writing Program at MIT. Text, ConText, and HyperText is included in the Information Systems series, edited by Michael Lesk.

  • No title

    Automated trading in electronic markets is one of the most common and consequential applications of autonomous software agents. Design of effective trading strategies requires thorough understanding of how market mechanisms operate, and appreciation of strategic issues that commonly manifest in trading scenarios. Drawing on research in auction theory and artificial intelligence, this book presents core principles of strategic reasoning that apply to market situations. The author illustrates trading strategy choices through examples of concrete market environments, such as eBay, as well as abstract market models defined by configurations of auctions and traders. Techniques for addressing these choices constitute essential building blocks for the design of trading strategies for rich market applications. The lecture assumes no prior background in game theory or auction theory, or artificial intelligence. Table of Contents: Introduction / Example: Bidding on eBay / Auction Fundamentals / Continuous Double Auctions / Interdependent Markets / Conclusion

  • Construction and revision

    This chapter contains sections titled: 4.1 MarginaI attribution: spinning off new schemas, 4.2 Synthetic items, 4.3 Composite actions



Standards related to Artificial Intelligence

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No standards are currently tagged "Artificial Intelligence"