MICAI 2004 Advances in Artificial Intelligence

CyberChair, a free Web-based paper submission and reviewing system, was used as an electronic support for the reviewing process. This book contains revised versions of the 94 papers presented at the conference.

MICAI 2004  Advances in Artificial Intelligence

The Mexican International Conference on Artificial Intelligence (MICAI) is a biennial conference established to promote research in artificial intelligence (AI), and cooperation among Mexican researchers and their peers worldwide. MICAI is organized by the Mexican Society for Artificial Intelligence (SMIA), in colla- ration with the American Association for Artificial Intelligence (AAAI) and the Mexican Society for Computer Science (SMCC). After two successful conferences, we are pleased to present the 3rd Mexican International Conference on Artificial Intelligence, MICAI 2004, which took place on April 26-30, 2004, in Mexico City, Mexico. This volume contains the papers included in the conference main program, which was complemented by tutorials and workshops, published in supplementary proceedings. The proceedings of past MICAI conferences, 2000 and 2002, were also published in Springer-Verlag's Lecture Notes in Artificial Intelligence (LNAI) series, volumes 1793 and 2313. The number of submissions to MICAI 2004 was significantly higher than those of previous conferences -- 254 papers from 19 different countries were submitted for consideration to MICAI 2004. The evaluation of this unexpectedly large number of papers was a challenge, both in terms of the quality of the papers and of the review workload of each PC member. After a thorough reviewing process, MICAI's Program Committee and Programs Chairs accepted 97 hi- quality papers. So the acceptance rate was 38.2%. CyberChair, a free Web-based paper submission and reviewing system, was used as an electronic support for the reviewing process. This book contains revised versions of the 94 papers presented at the conference. The volume is structured into 13 thematic fields according to the topics addressed by the papers, which are representative of the main current area of interest within the AI community.

MICAI 2005 Advances in Artificial Intelligence

4th Mexican International Conference on Artificial Intelligence, Monterrey, Mexico, November 14-18, 2005, ... Third International Mexican Conference on Artificial Intelligence (MICAI-2004), Lecture Notes in Computer Science 2972 ...

MICAI 2005  Advances in Artificial Intelligence

This book constitutes the refereed proceedings of the 4th Mexican International Conference on Artificial Intelligence, MICAI 2005, held in Monterrey, Mexico, in November 2005. The 120 revised full papers presented were carefully reviewed and selected from 423 submissions. The papers are organized in topical sections on knowledge representation and management, logic and constraint programming, uncertainty reasoning, multiagent systems and distributed AI, computer vision and pattern recognition, machine learning and data mining, evolutionary computation and genetic algorithms, neural networks, natural language processing, intelligent interfaces and speech processing, bioinformatics and medical applications, robotics, modeling and intelligent control, and intelligent tutoring systems.

MICAI 2007 Advances in Artificial Intelligence

MICAI 2004. LNCS (LNAI), vol. 2972, Springer, Heidelberg (2004) 7. Ramírez, N.C.: Building Bayesian networks from data: a constraint based approach, PhD Thesis, University of Sheffield (2001) 8. Spirtes, P.R., Shcheines, R., e Clark, ...

MICAI 2007  Advances in Artificial Intelligence

This book constitutes the refereed proceedings of the 6th Mexican International Conference on Artificial Intelligence, MICAI 2007, held in Aguascalientes, Mexico, in November 2007. The 116 revised full papers presented were carefully reviewed and selected from numerous submissions for inclusion in the book. The papers are organized in sections on topics that include computational intelligence, neural networks, knowledge representation and reasoning, agents and multiagent systems.

MICAI 2006 Advances in Artificial Intelligence

15th European Conference on Machine Learning and the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases (2004) 3. Hoste, V., Hendrickx, I., Daelemans, W. and A. van den Bosch.

MICAI 2006  Advances in Artificial Intelligence

This book constitutes the refereed proceedings of the 5th Mexican International Conference on Artificial Intelligence, MICAI 2006, held in Apizaco, Mexico in November 2006. It contains over 120 papers that address such topics as knowledge representation and reasoning, machine learning and feature selection, knowledge discovery, computer vision, image processing and image retrieval, robotics, as well as bioinformatics and medical applications.

MICAI 2008 Advances in Artificial Intelligence

7th Mexican International Conference on Artificial Intelligence, Atizapán de Zaragoza, Mexico, October 27-31, 2008 Proceedings ... In: Monroy, R., ArroyoFigueroa, G., Sucar, L.E., Sossa, H. (eds.) MICAI 2004. LNCS (LNAI), vol. 2972, pp.

MICAI 2008  Advances in Artificial Intelligence

The Mexican International Conference on Artificial Intelligence (MICAI), a yearly international conference series organized by the Mexican Society for Artificial Intel- gence (SMIA), is a major international AI forum and the main event in the academic life of the country’s growing AI community. In 2008 Mexico celebrates the 50th an- versary of development of computer science in the country: in 1958 the first computer was installed at the National Autonomous University of Mexico (UNAM). Nowadays, computer science is the country’s fastest growing research area. The proceedings of the previous MICAI events were published by Springer in its Lecture Notes in Artificial Intelligence (LNAI) series, vol. 1793, 2313, 2972, 3789, 4293, and 4827. Since its foundation in 2000, the conference has been growing in popularity, and improving in quality. This volume contains the papers presented at the oral session of the 7th Mexican International Conference on Artificial Intelligence, MICAI 2008, held October 27–31, 2008, in Atizapán de Zaragoza, Mexico. The conference received for evaluation 363 submissions by 1,032 authors from 43 countries (see Tables 1 and 2). This volume contains revised versions of 94 papers by 308 authors from 28 countries selected - cording to the results of an international reviewing process. Thus the acceptance rate was 25.9%. The book is structured into 20 thematic fields representative of the main current areas of interest for the AI community, plus a section of invited papers:

Advances in Artificial Intelligence IBERAMIA 2004

Mexican International Conference on Artificial Intelligence (MICAI) 2004 202-211. Mauricio Osorio, Juan Antonio Navarro, José Arrazola. “Applications of Intuitionistic Logic in Answer Set Programming”, accepted in Journal of TPLP, 2003.

Advances in Artificial Intelligence    IBERAMIA 2004

This book constitutes the refereed proceedings of the 9th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2004, held in Puebla, Mexico in November 2004. The 97 revised full papers presented were carefully reviewed and selected from 304 submissions. The papers are organized in topical sections on distributed AI and multi-agent systems, knowledge engineering and case-based reasoning, planning and scheduling, machine learning and knowledge acquisition, natural language processing, knowledge representation and reasoning, knowledge discovery and data mining, robotics, computer vision, uncertainty and fuzzy systems, genetic algorithms and neural networks, AI in education, and miscellaneous topics.

MICAI 2009 Advances in Artificial Intelligence

8th Mexican International Conference on Artificial Intelligence, Guanajuato, México, November 9-13, 2009 Proceedings Arturo Hernández Aguirre, ... In: IV International Crop Science Congress, Brisbane, Australia (2004) 4.

MICAI 2009  Advances in Artificial Intelligence

This book constitutes the refereed proceedings of the 8th Mexican International Conference on Artificial Intelligence, MICAI 2009, held in Guanajuato, Mexico, in November 2009. The 63 revised full papers presented together with one invited talk were carefully reviewed and selected from 215 submissions. The papers are organized in topical sections on logic and reasoning, ontologies, knowledge management and knowledge-based systems, uncertainty and probabilistic reasoning, natural language processing, data mining, machine learning, pattern recognition, computer vision and image processing, robotics, planning and scheduling, fuzzy logic, neural networks, intelligent tutoring systems, bioinformatics and medical applications, hybrid intelligent systems and evolutionary algorithms.

Advances in Artificial Intelligence SBIA 2004

17th Brazilian Symposium on Artificial Intelligence, Sao Luis, Maranhao, Brazil, September 29-October 1, 2004, Proceedings Ana L. C. Bazzan, Sofiane Labidi. over-sampling, a very simple over-sampling method, also achieved compatible ...

Advances in Artificial Intelligence   SBIA 2004

SBIA, the Brazilian Symposium on Arti?cial Intelligence, is a biennial event intended to be the main forum of the AI community in Brazil. The SBIA 2004 was the 17th issue of the series initiated in 1984. Since 1995 SBIA has been accepting papers written and presented only in English, attracting researchers from all over the world. At that time it also started to have an international program committee, keynote invited speakers, and proceedings published in the Lecture Notes in Arti?cial Intelligence (LNAI) series of Springer (SBIA 1995, Vol. 991, SBIA 1996, Vol. 1159, SBIA 1998, Vol. 1515, SBIA 2000, Vol. 1952, SBIA 2002, Vol. 2507). SBIA 2004 was sponsored by the Brazilian Computer Society (SBC). It was held from September 29 to October 1 in the city of S ̃ ao Luis, in the northeast of Brazil, together with the Brazilian Symposium on Neural Networks (SBRN). This followed a trend of joining the AI and ANN communities to make the joint event a very exciting one. In particular, in 2004 these two events were also held togetherwiththeIEEEInternationalWorkshoponMachineLearningandSignal Processing (MMLP), formerly NNLP. The organizationalstructure of SBIA 2004was similar to other international scienti?cconferences.Thebackboneofthe conferencewasthe technicalprogram whichwascomplementedbyinvitedtalks,workshops,etc.onthemainAItopics.

Advances in Smart Communication Technology and Information Processing

MICAI 2004: Advances in Artificial Intelligence. MICAI 2004. Lecture Notes in Computer Science, vol. 2972, pp. 312–321 (2004) 24. KOC, H.A.G.H.G.: Concept representation with overlapping feature intervals ...

Advances in Smart Communication Technology and Information Processing

This book is a collection of best selected research papers presented at the 6th International Conference on Opto-Electronics and Applied Optics (OPTRONIX 2020) organized by the University of Engineering & Management, Kolkata, India, in June 2020. The primary focus is to address issues and developments in optoelectronics with particular emphasis on communication technology, IoT and intelligent systems, information processing and its different kinds. The theme of the book is in alignment with the theme of the conference "Advances in Smart Communication Technology and Information Processing." The purpose of this book is to inform the scientists and researchers of this field in India and abroad about the latest developments in the relevant field and to raise awareness among the academic fraternity to get them involved in different activities in the years ahead - an effort to realize knowledge-based society

Advances in Swarm Intelligence for Optimizing Problems in Computer Science

In C. A. Coello Coello (Ed.), Margarita Reyes Sierra Mexican International Conference on Artificial Intelligence, MICAI 2004: MICAI 2004: Advances in artificial intelligence (pp. 688–697). Dawkins, R. (1976). The Selfish Gene.

Advances in Swarm Intelligence for Optimizing Problems in Computer Science

This book provides comprehensive details of all Swarm Intelligence based Techniques available till date in a comprehensive manner along with their mathematical proofs. It will act as a foundation for authors, researchers and industry professionals. This monograph will present the latest state of the art research being done on varied Intelligent Technologies like sensor networks, machine learning, optical fiber communications, digital signal processing, image processing and many more.

Artificial Intelligence Concepts Methodologies Tools and Applications

Advances in Artificial Intelligence–SBIA, LNCS (Vol. 3171, pp. 296–306). Prati, R. C., Batista, G. E., & Monard, M. C. (2004). Class imbalances versus class overlapping: An analysis of a learning system behavior. MICAI 2004.

Artificial Intelligence  Concepts  Methodologies  Tools  and Applications

Ongoing advancements in modern technology have led to significant developments in artificial intelligence. With the numerous applications available, it becomes imperative to conduct research and make further progress in this field. Artificial Intelligence: Concepts, Methodologies, Tools, and Applications provides a comprehensive overview of the latest breakthroughs and recent progress in artificial intelligence. Highlighting relevant technologies, uses, and techniques across various industries and settings, this publication is a pivotal reference source for researchers, professionals, academics, upper-level students, and practitioners interested in emerging perspectives in the field of artificial intelligence.

Advances in Computational Intelligence Systems

In: MICAI 2004: Advances in Artificial Intelligence Lecture Notes in Computer Science, pp. 312–321 (2004). https://doi.org/10.1007/978-3-540-24694-7-32 Preacher, K.J., Rucker, D.D., Maccallum, R.C., Nicewander, W.A.: Use of the extreme ...

Advances in Computational Intelligence Systems

This book presents the latest trends in and approaches to computational intelligence research and its application to intelligent systems. It covers a long list of interconnected research areas, such as fuzzy systems, neural networks, evolutionary computation, clustering and classification, machine learning, data mining, cognition and robotics, and deep learning. The individual chapters are based on peer-reviewed contributions presented at the 18th Annual UK Workshop on Computational Intelligence (UKCI-2018), held in Nottingham, UK on September 5-7, 2018. The book puts a special emphasis on novel methods and reports on their use in a wide range of applications areas, thus providing both academics and professionals with a comprehensive and timely overview of new trends in computational intelligence.

Health Information Governance in a Digital Environment

MICAI 2004: Advances in Artificial Intelligence, Springer, 2004. T. Imam, Kai Ting, J. Kamruzzaman. z-svm: An svm for improved classification of imbalanced data." AI 2006: Advances in Artificial Intelligence. 2006: 264-273. N. Chawla.

Health Information Governance in a Digital Environment

Delivering the desired benefits from using information technology in healthcare requires a high degree of data standardization, effective governance and semantic interoperability between systems in the health industry. Corporate chief executive officers (CEOs) and company boards need to be more aware of their governance responsibility. This publication explains these concepts to assist the reader to collaboratively work with others to meet these challenges. With contributions from internationally distinguished authors, this book is a valuable cutting edge resource for anyone working in or for the health industry today and especially for: • Policy and decision makers, • Healthcare professionals, • Health information managers, • Health informaticians and • ICT professionals about: • Data governance. • Semantic interoperability • IT in health care • Information security governance The book is suitable for use as a basic text or reference supporting professional, undergraduate and postgraduate curricula preparing students for practice as health or IT professionals working in today's healthcare system.

Soft Computing for Problem Solving

In: Monroy, R., Arroyo-Figueroa, G., Sucar, L.E., Sossa, H. (eds.) In: MICAI 2004: Advances in Artificial Intelligence. MICAI 2004. Lecture Notes in Computer Science, vol. 2972. Springer, Berlin, Heidelberg (2004) 42.

Soft Computing for Problem Solving

This two-volume book presents outcomes of the 7th International Conference on Soft Computing for Problem Solving, SocProS 2017. This conference is a joint technical collaboration between the Soft Computing Research Society, Liverpool Hope University (UK), the Indian Institute of Technology Roorkee, the South Asian University New Delhi and the National Institute of Technology Silchar, and brings together researchers, engineers and practitioners to discuss thought-provoking developments and challenges in order to select potential future directions The book presents the latest advances and innovations in the interdisciplinary areas of soft computing, including original research papers in the areas including, but not limited to, algorithms (artificial immune systems, artificial neural networks, genetic algorithms, genetic programming, and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). It is a valuable resource for both young and experienced researchers dealing with complex and intricate real-world problems for which finding a solution by traditional methods is a difficult task.

Machine Learning Paradigms Theory and Application

In: MICAI 2004: Advances in Artificial Intelligence, pp. 420–429 (2004) Bai, S., et al.: System for Chinese tokenization and named entity recognition. U.S. Patent No. 6,311,152, 30 Oct 2001 Sasano, R., Kurohashi, S.: Japanese named ...

Machine Learning Paradigms  Theory and Application

The book focuses on machine learning. Divided into three parts, the first part discusses the feature selection problem. The second part then describes the application of machine learning in the classification problem, while the third part presents an overview of real-world applications of swarm-based optimization algorithms. The concept of machine learning (ML) is not new in the field of computing. However, due to the ever-changing nature of requirements in today’s world it has emerged in the form of completely new avatars. Now everyone is talking about ML-based solution strategies for a given problem set. The book includes research articles and expository papers on the theory and algorithms of machine learning and bio-inspiring optimization, as well as papers on numerical experiments and real-world applications.

Advances in Artificial Intelligence

1 UNIVERSITY OF MICHIGAN 3 9015 05888 7038 $ 2 20 Lecture Notes in Artificial Intelligence Subseries of ... 2004 . Vol . 2972 : R. Monroy , G. Arroyo - Figueroa , L.E. Sucar , H. Sossa ( Eds . ) , MICAI 2004 : Advances in Artificial ...

Advances in Artificial Intelligence


Artificial Intelligence and Algorithms in Intelligent Systems

In: Mexican International Conference on Advances in Artificial Intelligence, MICAI 2004. LNCS, vol. 2972, pp. 312–321 (2004) He, H., Garcia, E.A.: Learning from imbalanced data. IEEE Trans. Knowl. Data Eng. 21(9), 1263–1284 (2009) 18.

Artificial Intelligence and Algorithms in Intelligent Systems

This book presents the latest trends and approaches in artificial intelligence research and its application to intelligent systems. It discusses hybridization of algorithms, new trends in neural networks, optimisation algorithms and real-life issues related to the application of artificial methods. The book constitutes the second volume of the refereed proceedings of the Artificial Intelligence and Algorithms in Intelligent Systems of the 7th Computer Science On-line Conference 2018 (CSOC 2018), held online in April 2018.

Developing Effective Educational Experiences through Learning Analytics

Advances in Artificial Intelligence–SBIA, LNCS (Vol. 3171, pp. 296–306). Prati, R. C., Batista, G. E., & Monard, M. C. (2004). Class imbalances versus class overlapping: An analysis of a learning system behavior. MICAI 2004.

Developing Effective Educational Experiences through Learning Analytics

The quality of students’ learning experiences is a critical concern for all higher education institutions. With the assistance of modern technological advances, educational establishments have the capability to better understand the strengths and weaknesses of their learning programs. Developing Effective Educational Experiences through Learning Analytics is a pivotal reference source that focuses on the adoption of data mining and analysis techniques in academic institutions, examining how this collected information is utilized to improve the outcome of student learning. Highlighting the relevance of data analytics to current educational practices, this book is ideally designed for researchers, practitioners, and professionals actively involved in higher education settings.

Advances in Artificial Intelligence

11th Mexican International Conference on Artificial Intelligence, MICAI 2012, San Luis Potosi, Mexico, ... In: Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), ...

Advances in Artificial Intelligence

The two-volume set LNAI 7629 and LNAI 7630 constitutes the refereed proceedings of the 11th Mexican International Conference on Artificial Intelligence, MICAI 2012, held in San Luis Potosí, Mexico, in October/November 2012. The 80 revised papers presented were carefully reviewed and selected from 224 submissions. The first volume includes 40 papers representing the current main topics of interest for the AI community and their applications. The papers are organized in the following topical sections: machine learning and pattern recognition; computer vision and image processing; robotics; knowledge representation, reasoning, and scheduling; medical applications of artificial intelligence.