2020
Jesus, T.; Duarte, J.; Ferreira, D.; Durães, D.; Marcondes, F.; Santos, F.; Gomes, M.; Novais, P.; Gonçalves, F.; Fonseca, J.; Lori, N.; Abelha, A.; Machado, J.
Review of Trends in Automatic Human Activity Recognition Using Synthetic Audio-Visual Data Proceedings Article
Em: C., Camacho D. Novais P. Analide (Ed.): pp. 549-560, Springer Science and Business Media Deutschland GmbH, 2020, ISSN: 03029743, (cited By 4; Conference of 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020 ; Conference Date: 4 November 2020 Through 6 November 2020; Conference Code:251049).
Resumo | Links | BibTeX | Etiquetas: Artificial intelligence, Audio-visual data; Design and Development; Human activity recognition; In-depth study; Literature reviews; Multi-sensory fusion, Computer science; Computers
@inproceedings{Jesus2020549,
title = {Review of Trends in Automatic Human Activity Recognition Using Synthetic Audio-Visual Data},
author = {T. Jesus and J. Duarte and D. Ferreira and D. Durães and F. Marcondes and F. Santos and M. Gomes and P. Novais and F. Gonçalves and J. Fonseca and N. Lori and A. Abelha and J. Machado},
editor = {Camacho D. Novais P. Analide C.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097138094&doi=10.1007%2f978-3-030-62365-4_53&partnerID=40&md5=4f6f299f14229712acda0326b1718e1d},
doi = {10.1007/978-3-030-62365-4_53},
issn = {03029743},
year = {2020},
date = {2020-01-01},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {12490 LNCS},
pages = {549-560},
publisher = {Springer Science and Business Media Deutschland GmbH},
abstract = {An in-depth study of knowledge and technologies was made related to the various scientific, technical, and industrial domains necessary for the acquisition of skills and capabilities for the design and development of a multisensory fusion system for vehicle cockpits. After an extensive literature review, it was possible to determine the baselines of the solution to be developed and obtain a pipeline prototype. © 2020, Springer Nature Switzerland AG.},
note = {cited By 4; Conference of 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020 ; Conference Date: 4 November 2020 Through 6 November 2020; Conference Code:251049},
keywords = {Artificial intelligence, Audio-visual data; Design and Development; Human activity recognition; In-depth study; Literature reviews; Multi-sensory fusion, Computer science; Computers},
pubstate = {published},
tppubtype = {inproceedings}
}
An in-depth study of knowledge and technologies was made related to the various scientific, technical, and industrial domains necessary for the acquisition of skills and capabilities for the design and development of a multisensory fusion system for vehicle cockpits. After an extensive literature review, it was possible to determine the baselines of the solution to be developed and obtain a pipeline prototype. © 2020, Springer Nature Switzerland AG.
2014
Pereira, E.; Brandöo, A.; Portela, C. F.; Santos, M. F.; Machado, J.; Abelha, A.
Business intelligence in maternity care Proceedings Article
Em: pp. 352-355, Association for Computing Machinery, Porto, 2014, ISBN: 9781450326278, (cited By 7; Conference of 18th International Database Engineering and Applications Symposium, IDEAS 2014 ; Conference Date: 7 July 2014 Through 9 July 2014; Conference Code:107181).
Resumo | Links | BibTeX | Etiquetas: Artificial intelligence, Data warehouses; Decision support systems, Decision supports; Dimensional structures; Electronic health; Evidence-based practices; Incomplete information; Medical decision making; Medical errors; Scientific community
@inproceedings{Pereira2014352,
title = {Business intelligence in maternity care},
author = {E. Pereira and A. Brandöo and C. F. Portela and M. F. Santos and J. Machado and A. Abelha},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906818146&doi=10.1145%2f2628194.2628248&partnerID=40&md5=c1e5a6f04bb641b8943f5bdfbaa05b96},
doi = {10.1145/2628194.2628248},
isbn = {9781450326278},
year = {2014},
date = {2014-01-01},
journal = {ACM International Conference Proceeding Series},
pages = {352-355},
publisher = {Association for Computing Machinery},
address = {Porto},
abstract = {The emergency services are usually pressured to make quick decisions with incomplete information on most cases, and this situation has a significant impact on healthcare as well on increasing medical errors. On the other hand, there has been an increase of the Electronic Health at Maternity Care. The combination of these two factors allows the construction of a Decision Support System specific for Maternity Care Unit using Business Intelligence technology. This solution is supported by a Data Warehouse, that uses the dimensional structure snowflake and makes the modeling of the maternity care database. With this solution it is intended to turn possible a clinical evidence-based practice, allowing for real time medical decision making with pervasive and interoperable characteristics. This paper presents the architecture, KPIs and benefits of Business Intelligence solution for the real context. This platform has several modules of clinical importance. The Obstetric Gynecological Emergency and the Voluntary Interruption of Pregnancy modules are object of study. This solution has an innovative contribution to the medical and scientific community studying the problem in Maternity area.© 2014 ACM.},
note = {cited By 7; Conference of 18th International Database Engineering and Applications Symposium, IDEAS 2014 ; Conference Date: 7 July 2014 Through 9 July 2014; Conference Code:107181},
keywords = {Artificial intelligence, Data warehouses; Decision support systems, Decision supports; Dimensional structures; Electronic health; Evidence-based practices; Incomplete information; Medical decision making; Medical errors; Scientific community},
pubstate = {published},
tppubtype = {inproceedings}
}
The emergency services are usually pressured to make quick decisions with incomplete information on most cases, and this situation has a significant impact on healthcare as well on increasing medical errors. On the other hand, there has been an increase of the Electronic Health at Maternity Care. The combination of these two factors allows the construction of a Decision Support System specific for Maternity Care Unit using Business Intelligence technology. This solution is supported by a Data Warehouse, that uses the dimensional structure snowflake and makes the modeling of the maternity care database. With this solution it is intended to turn possible a clinical evidence-based practice, allowing for real time medical decision making with pervasive and interoperable characteristics. This paper presents the architecture, KPIs and benefits of Business Intelligence solution for the real context. This platform has several modules of clinical importance. The Obstetric Gynecological Emergency and the Voluntary Interruption of Pregnancy modules are object of study. This solution has an innovative contribution to the medical and scientific community studying the problem in Maternity area.© 2014 ACM.
2010
Ribeiro, J.; Machado, J.; Abelha, A.; Fernandéz-Delgado, M.; Neves, J.
Handling incomplete information in an evolutionary environment Proceedings Article
Em: Barcelona, 2010, ISBN: 9781424469109, (cited By 2; Conference of 2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010 ; Conference Date: 18 July 2010 Through 23 July 2010; Conference Code:85187).
Resumo | Links | BibTeX | Etiquetas: Artificial intelligence, Candidate solution; Evolutionary settings; Incomplete information; Knowledge representation and reasoning; Logic programs; Logical theories; On the flies; Time line; Universe of discourse, Genetic programming; Knowledge representation; Logic programming
@inproceedings{Ribeiro2010,
title = {Handling incomplete information in an evolutionary environment},
author = {J. Ribeiro and J. Machado and A. Abelha and M. Fernandéz-Delgado and J. Neves},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-79959483071&doi=10.1109%2fCEC.2010.5586079&partnerID=40&md5=e5abc9913bad1da5263f98012d26110e},
doi = {10.1109/CEC.2010.5586079},
isbn = {9781424469109},
year = {2010},
date = {2010-01-01},
journal = {2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010},
address = {Barcelona},
abstract = {In this paper we address the problem of modeling creativity in Artificial Intelligence using a Genetic or Evolutionary based approach to computing, where the universe of discourse is represented as theories or programs in an extension to the Logic Programming language, which makes possible to handle incomplete or even contradictory information in an evolutionary environment. Indeed, we present a new insight for the construction of evolutive systems that combines the potential of the knowledge representation and reasoning mechanisms, present in the logic programming languages. Here, in an evolutionary setting, the candidate solutions to model the universe of discourse are seen as evolutionary logic programs or theories, being the test whether a solution is optimal based on a measure of the quality-of-information carried by those logical theories or programs. From a point of view of the process, the quality-of-information of the universe of discourse is assessed on the fly, being therefore possible to select the best logical theory or program that models it, in terms of the same time line. © 2010 IEEE.},
note = {cited By 2; Conference of 2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010 ; Conference Date: 18 July 2010 Through 23 July 2010; Conference Code:85187},
keywords = {Artificial intelligence, Candidate solution; Evolutionary settings; Incomplete information; Knowledge representation and reasoning; Logic programs; Logical theories; On the flies; Time line; Universe of discourse, Genetic programming; Knowledge representation; Logic programming},
pubstate = {published},
tppubtype = {inproceedings}
}
In this paper we address the problem of modeling creativity in Artificial Intelligence using a Genetic or Evolutionary based approach to computing, where the universe of discourse is represented as theories or programs in an extension to the Logic Programming language, which makes possible to handle incomplete or even contradictory information in an evolutionary environment. Indeed, we present a new insight for the construction of evolutive systems that combines the potential of the knowledge representation and reasoning mechanisms, present in the logic programming languages. Here, in an evolutionary setting, the candidate solutions to model the universe of discourse are seen as evolutionary logic programs or theories, being the test whether a solution is optimal based on a measure of the quality-of-information carried by those logical theories or programs. From a point of view of the process, the quality-of-information of the universe of discourse is assessed on the fly, being therefore possible to select the best logical theory or program that models it, in terms of the same time line. © 2010 IEEE.
2005
Andrade, F.; Neves, J.; Novais, P.; Machado, J.; Abelha, A.
Legal security and credibility in agent based virtual enterprises Proceedings Article
Em: pp. 503-512, Springer Science and Business Media, LLC, Valencia, 2005, ISSN: 18684238, (cited By 19; Conference of IFIP TC5 WG 5.5 6th IFIP Working Conference on Virtual Enterprises, PRO-VE 2005 ; Conference Date: 26 September 2005 Through 28 September 2005; Conference Code:105830).
Resumo | Links | BibTeX | Etiquetas: Artificial intelligence, Interacting entities; ITS applications; Legal solutions; Non-repudiation; Quality of information; Trust and security; Virtual enterprise; Virtual worlds, Virtual corporation
@inproceedings{Andrade2005503,
title = {Legal security and credibility in agent based virtual enterprises},
author = {F. Andrade and J. Neves and P. Novais and J. Machado and A. Abelha},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84902774867&doi=10.1007%2f0-387-29360-4_53&partnerID=40&md5=f5002c3862c1cc16529edd766fddb829},
doi = {10.1007/0-387-29360-4_53},
issn = {18684238},
year = {2005},
date = {2005-01-01},
journal = {IFIP Advances in Information and Communication Technology},
volume = {186},
pages = {503-512},
publisher = {Springer Science and Business Media, LLC},
address = {Valencia},
abstract = {Recent trends in the field of Artificial Intelligence, brought along new ways of formalizing and expressing wills and declarations. Its application to Virtual Enterprises requires an analysis of the interactions among agents, frameworks and users, as well as technical and legal analysis, in order to discover the rules to be applied, to solve a particular problem under a prospective scenario. Credibility, trust and security issues must be taken under consideration, especially concerning authenticity, confidentiality, integrity and nonrepudiation. In order to increase the use of agents in Virtual Enterprises, besides the analysis and research of legal solutions in the commercial arena, it is essential to assure that agents will meet requirements of credibility and trust, insuring a transparent and secure way for their commercial acting, now capable of generating legal relations. This paper shows how to construct a dynamic virtual world of complex and interacting entities or agents, in which fitness is judged by a quality of information criterion. © 2005 by International Federation for Information Processing.},
note = {cited By 19; Conference of IFIP TC5 WG 5.5 6th IFIP Working Conference on Virtual Enterprises, PRO-VE 2005 ; Conference Date: 26 September 2005 Through 28 September 2005; Conference Code:105830},
keywords = {Artificial intelligence, Interacting entities; ITS applications; Legal solutions; Non-repudiation; Quality of information; Trust and security; Virtual enterprise; Virtual worlds, Virtual corporation},
pubstate = {published},
tppubtype = {inproceedings}
}
Recent trends in the field of Artificial Intelligence, brought along new ways of formalizing and expressing wills and declarations. Its application to Virtual Enterprises requires an analysis of the interactions among agents, frameworks and users, as well as technical and legal analysis, in order to discover the rules to be applied, to solve a particular problem under a prospective scenario. Credibility, trust and security issues must be taken under consideration, especially concerning authenticity, confidentiality, integrity and nonrepudiation. In order to increase the use of agents in Virtual Enterprises, besides the analysis and research of legal solutions in the commercial arena, it is essential to assure that agents will meet requirements of credibility and trust, insuring a transparent and secure way for their commercial acting, now capable of generating legal relations. This paper shows how to construct a dynamic virtual world of complex and interacting entities or agents, in which fitness is judged by a quality of information criterion. © 2005 by International Federation for Information Processing.
1997
Neves, Jose; Machado, Jose; Abelha, Antonio
Application of artificial intelligence to law enforcement Proceedings Article
Em: pp. 256, ACM, New York, NY, United States, Melbourne, Aust, 1997, (cited By 0; Conference of Proceedings of the 1997 6th International Conference on Artificial Intelligence and Law ; Conference Date: 30 June 1997 Through 3 July 1997; Conference Code:47164).
Resumo | Links | BibTeX | Etiquetas: Abstract only; Inference based semantic nets; Law enforcement, Artificial intelligence, Computational linguistics; Computer architecture; Decision support systems; Inference engines; Information retrieval; Laws and legislation; Logic programming; Neural networks
@inproceedings{Neves1997256,
title = {Application of artificial intelligence to law enforcement},
author = {Jose Neves and Jose Machado and Antonio Abelha},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-0030683086&partnerID=40&md5=39b557e4ae2be634a7e33c062091971e},
year = {1997},
date = {1997-01-01},
journal = {Proceedings of the International Conference on Artificial Intelligence and Law},
pages = {256},
publisher = {ACM, New York, NY, United States},
address = {Melbourne, Aust},
abstract = {The area of information retrieval is concerned, in particular, with selecting documents from a collection that will be of interest to an user with a stated information need or question. Although it remains an area of considerable theoretical and practical importance, in general it comes to be critical when one considers the organization and functioning of a Public Prosecution Service, in terms of its administrative procedures, service distribution or the application of The Law. This article describes a part of a project, the MAD's one, A Decision Support System for Legal Reasoning, with mention to the architecture and the formal model for retrieval and update of legal documents, in use at the Portuguese Public Prosecution Service. It combines agent's based technology, disjunctive logic programming to the representation of partial information, and inference based semantic nets.},
note = {cited By 0; Conference of Proceedings of the 1997 6th International Conference on Artificial Intelligence and Law ; Conference Date: 30 June 1997 Through 3 July 1997; Conference Code:47164},
keywords = {Abstract only; Inference based semantic nets; Law enforcement, Artificial intelligence, Computational linguistics; Computer architecture; Decision support systems; Inference engines; Information retrieval; Laws and legislation; Logic programming; Neural networks},
pubstate = {published},
tppubtype = {inproceedings}
}
The area of information retrieval is concerned, in particular, with selecting documents from a collection that will be of interest to an user with a stated information need or question. Although it remains an area of considerable theoretical and practical importance, in general it comes to be critical when one considers the organization and functioning of a Public Prosecution Service, in terms of its administrative procedures, service distribution or the application of The Law. This article describes a part of a project, the MAD's one, A Decision Support System for Legal Reasoning, with mention to the architecture and the formal model for retrieval and update of legal documents, in use at the Portuguese Public Prosecution Service. It combines agent's based technology, disjunctive logic programming to the representation of partial information, and inference based semantic nets.