2021
Castanheira, A.; Peixoto, H.; Machado, J.
Overcoming challenges in healthcare interoperability regulatory compliance Proceedings Article
Em: P., Larriba-Pey J. L. Vercelli G. Novais (Ed.): pp. 44-53, Springer Science and Business Media Deutschland GmbH, 2021, ISSN: 21945357, (cited By 2; Conference of 11th International Symposium on Ambient Intelligence, ISAmI 2020 ; Conference Date: 7 October 2020 Through 9 October 2020; Conference Code:245169).
Resumo | Links | BibTeX | Etiquetas: Ambient intelligence, Application programs; Artificial intelligence; Data privacy; Digital devices; Digital storage; Health care; Interoperability; Regulatory compliance, Digital tools; Ethical issues; European levels; General data protection regulations; Healthcare Interoperability; Portugal; Proposed architectures; Set of rules
@inproceedings{Castanheira202144,
title = {Overcoming challenges in healthcare interoperability regulatory compliance},
author = {A. Castanheira and H. Peixoto and J. Machado},
editor = {Larriba-Pey J. L. Vercelli G. Novais P.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091511192&doi=10.1007%2f978-3-030-58356-9_5&partnerID=40&md5=74a0dcb5fadb890331a3a47d465a3e22},
doi = {10.1007/978-3-030-58356-9_5},
issn = {21945357},
year = {2021},
date = {2021-01-01},
journal = {Advances in Intelligent Systems and Computing},
volume = {1239 AISC},
pages = {44-53},
publisher = {Springer Science and Business Media Deutschland GmbH},
abstract = {There has been a significant increase in the quantity of information stored digitally by health institutions. Such information contains personal data from the actors in their universe. Thus, is crucial that it is governed by a set of rules, in order to allow it to be understood without losing important data. With the increased use of digital tools for storing and exchanging information, ethical issues began to arise in the context of the privacy of personal data. Questions about access, processing, treatment and storage of personal data became increasingly important in society, leading to the creation of the General Data Protection Regulation (GDPR) in force at European level. GDPR is one of the main challenges in healthcare interoperability regulatory compliance, therefore the proposed architecture shows an approach to enforce GDPR compliance into Agency for Integration, Diffusion and Archive Platform (AIDA), which is held by several healthcare unities in Portugal, using technologies like ElasticSearch and Kibana. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.},
note = {cited By 2; Conference of 11th International Symposium on Ambient Intelligence, ISAmI 2020 ; Conference Date: 7 October 2020 Through 9 October 2020; Conference Code:245169},
keywords = {Ambient intelligence, Application programs; Artificial intelligence; Data privacy; Digital devices; Digital storage; Health care; Interoperability; Regulatory compliance, Digital tools; Ethical issues; European levels; General data protection regulations; Healthcare Interoperability; Portugal; Proposed architectures; Set of rules},
pubstate = {published},
tppubtype = {inproceedings}
}
There has been a significant increase in the quantity of information stored digitally by health institutions. Such information contains personal data from the actors in their universe. Thus, is crucial that it is governed by a set of rules, in order to allow it to be understood without losing important data. With the increased use of digital tools for storing and exchanging information, ethical issues began to arise in the context of the privacy of personal data. Questions about access, processing, treatment and storage of personal data became increasingly important in society, leading to the creation of the General Data Protection Regulation (GDPR) in force at European level. GDPR is one of the main challenges in healthcare interoperability regulatory compliance, therefore the proposed architecture shows an approach to enforce GDPR compliance into Agency for Integration, Diffusion and Archive Platform (AIDA), which is held by several healthcare unities in Portugal, using technologies like ElasticSearch and Kibana. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.
Durães, D.; Marcondes, F. S.; Gonçalves, F.; Fonseca, J.; Machado, J.; Novais, P.
Detection violent behaviors: A survey Proceedings Article
Em: P., Larriba-Pey J. L. Vercelli G. Novais (Ed.): pp. 106-116, Springer Science and Business Media Deutschland GmbH, 2021, ISSN: 21945357, (cited By 13; Conference of 11th International Symposium on Ambient Intelligence, ISAmI 2020 ; Conference Date: 7 October 2020 Through 9 October 2020; Conference Code:245169).
Resumo | Links | BibTeX | Etiquetas: Action recognition; Audio and video; Behavior modelling; Classification methods; Multi-modal; Systematic Review; Violence detections; Violent behavior, Ambient intelligence, Application programs; Artificial intelligence; Classification (of information)
@inproceedings{Durães2021106,
title = {Detection violent behaviors: A survey},
author = {D. Durães and F. S. Marcondes and F. Gonçalves and J. Fonseca and J. Machado and P. Novais},
editor = {Larriba-Pey J. L. Vercelli G. Novais P.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091503158&doi=10.1007%2f978-3-030-58356-9_11&partnerID=40&md5=ed2f6cb833a6cc4d92e3dca5aabec4c0},
doi = {10.1007/978-3-030-58356-9_11},
issn = {21945357},
year = {2021},
date = {2021-01-01},
journal = {Advances in Intelligent Systems and Computing},
volume = {1239 AISC},
pages = {106-116},
publisher = {Springer Science and Business Media Deutschland GmbH},
abstract = {Violence detection behavior is a particular problem regarding the great problem action recognition. In recent years, the detection and recognition of violence has been studied for several applications, namely in surveillance. In this paper, we conducted a recent systematic review of the literature on this subject, covering a selection of various researched papers. The selected works were classified into three main approaches for violence detection: video, audio, and multimodal audio and video. Our analysis provides a roadmap to guide future research to design automatic violence detection systems. Techniques related to the extraction and description of resources to represent behavior are also reviewed. Classification methods and structures for behavior modelling are also provided. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.},
note = {cited By 13; Conference of 11th International Symposium on Ambient Intelligence, ISAmI 2020 ; Conference Date: 7 October 2020 Through 9 October 2020; Conference Code:245169},
keywords = {Action recognition; Audio and video; Behavior modelling; Classification methods; Multi-modal; Systematic Review; Violence detections; Violent behavior, Ambient intelligence, Application programs; Artificial intelligence; Classification (of information)},
pubstate = {published},
tppubtype = {inproceedings}
}
Violence detection behavior is a particular problem regarding the great problem action recognition. In recent years, the detection and recognition of violence has been studied for several applications, namely in surveillance. In this paper, we conducted a recent systematic review of the literature on this subject, covering a selection of various researched papers. The selected works were classified into three main approaches for violence detection: video, audio, and multimodal audio and video. Our analysis provides a roadmap to guide future research to design automatic violence detection systems. Techniques related to the extraction and description of resources to represent behavior are also reviewed. Classification methods and structures for behavior modelling are also provided. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.
2020
Lori, N.; Ferreira, D.; Alves, V.; Machado, J.
Bridging the Gap of Neuroscience, Philosophy, and Evolutionary Biology to Propose an Approach to Machine Learning of Human-Like Ethics Proceedings Article
Em: C., Camacho D. Novais P. Analide (Ed.): pp. 309-321, Springer Science and Business Media Deutschland GmbH, 2020, ISSN: 03029743, (cited By 0; 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: Ambient intelligence, Axiomatic framework; Biological evolution; Bottom up approach; Evolutionary biology; Human decision making; Multi-disciplinary approach; Natural user interfaces; Physical interactions, Biology; Decision making; Machine learning; Neurology; Philosophical aspects; User interfaces
@inproceedings{Lori2020309,
title = {Bridging the Gap of Neuroscience, Philosophy, and Evolutionary Biology to Propose an Approach to Machine Learning of Human-Like Ethics},
author = {N. Lori and D. Ferreira and V. Alves and J. Machado},
editor = {Camacho D. Novais P. Analide C.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097195726&doi=10.1007%2f978-3-030-62365-4_30&partnerID=40&md5=453b756311f0c2c8bfb5432cb1eeb4a2},
doi = {10.1007/978-3-030-62365-4_30},
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 = {309-321},
publisher = {Springer Science and Business Media Deutschland GmbH},
abstract = {The growing explosion of ideas such as Artificial Intelligence (AI), smart environments and ubiquitous computing has led to the creation of the Ambient Intelligence (AmI) paradigm. As AmI begins to take place, moving from a futuristic idea to a reality, we are gradually witnessing the creation of an omnipresent, responsive, and intelligent atmosphere in which thousands of tiny sensors and natural user interfaces will be embedded in our natural movements and in our social and physical interactions. Hence, a key challenge in this multi-disciplinary approach is to get machines to act according to ethical priorities that make sense to human beings. In this study, we improve the capacity for machine ethics to approach human ethics by assessing the computation of transaction values and we argue that it is possible to perform such a computation using recent work that describes the effects of human decision-making using an axiomatic framework. This paper clarifies the relationship between the brain’s 3-axes of neuroscience, the 3 Plato’s Transcendentals of philosophy and the biological evolution’s 3-components, as well as the top-down vs. bottom-up approaches to machine ethics. © 2020, Springer Nature Switzerland AG.},
note = {cited By 0; 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 = {Ambient intelligence, Axiomatic framework; Biological evolution; Bottom up approach; Evolutionary biology; Human decision making; Multi-disciplinary approach; Natural user interfaces; Physical interactions, Biology; Decision making; Machine learning; Neurology; Philosophical aspects; User interfaces},
pubstate = {published},
tppubtype = {inproceedings}
}
The growing explosion of ideas such as Artificial Intelligence (AI), smart environments and ubiquitous computing has led to the creation of the Ambient Intelligence (AmI) paradigm. As AmI begins to take place, moving from a futuristic idea to a reality, we are gradually witnessing the creation of an omnipresent, responsive, and intelligent atmosphere in which thousands of tiny sensors and natural user interfaces will be embedded in our natural movements and in our social and physical interactions. Hence, a key challenge in this multi-disciplinary approach is to get machines to act according to ethical priorities that make sense to human beings. In this study, we improve the capacity for machine ethics to approach human ethics by assessing the computation of transaction values and we argue that it is possible to perform such a computation using recent work that describes the effects of human decision-making using an axiomatic framework. This paper clarifies the relationship between the brain’s 3-axes of neuroscience, the 3 Plato’s Transcendentals of philosophy and the biological evolution’s 3-components, as well as the top-down vs. bottom-up approaches to machine ethics. © 2020, Springer Nature Switzerland AG.