pubs2024

@inproceedings{Neves2015211,

title = {Logic programming and artificial neural networks in breast cancer detection},

author = {J. Neves and T. Guimarães and S. Gomes and H. Vicente and M. Santos and J. Neves and J. Machado and P. Novais},

editor = {Catala A. Joya G. Rojas I.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84937690305&doi=10.1007%2f978-3-319-19222-2_18&partnerID=40&md5=4892cc38432d002443cd457e3c466108},

doi = {10.1007/978-3-319-19222-2_18},

issn = {03029743},

year  = {2015},

date = {2015-01-01},

journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},

volume = {9095},

pages = {211-224},

publisher = {Springer Verlag},

abstract = {About 90% of breast cancers do not cause or are capable of producing death if detected at an early stage and treated properly. Indeed, it is still not known a specific cause for the illness. It may be not only a beginning, but also a set of associations that will determine the onset of the disease. Undeniably, there are some factors that seem to be associated with the boosted risk of the malady. Pondering the present study, different breast cancer risk assessment models where considered. It is our intention to develop a hybrid decision support system under a formal framework based on Logic Programming for knowledge representation and reasoning, complemented with an approach to computing centered on Artificial Neural Networks, to evaluate the risk of developing breast cancer and the respective Degree-of-Confidence that one has on such a happening. © Springer International Publishing Switzerland 2015.},

note = {cited By 9; Conference of 13th International Work-Conference on Artificial Neural Networks, IWANN 2015 ; Conference Date: 10 June 2015 Through 12 June 2015; Conference Code:119669},

keywords = {Artificial intelligence; Computation theory; Decision support systems; Diseases; Knowledge representation; Neural networks; Risk assessment, Breast Cancer; Breast cancer detection; Breast cancer risk assessments; Degree of confidence; Formal framework; Hybrid decision support systems; Knowledge representation and reasoning; Logic programing, Logic programming},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Neves1998159,

title = {Extended logic programming applied to the specification of multi-agent systems and their computing environments},

author = {Jose Neves and Jose Machado and Cesar Analide and Paulo Novais and Antonio Abelha},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-0031673874&partnerID=40&md5=08133e65f4f0c50b4fa9b7a825c799c4},

year  = {1998},

date = {1998-01-01},

journal = {Proceedings of the IEEE International Conference on Intelligent Processing Systems, ICIPS},

volume = {1},

pages = {159-164},

publisher = {IEEE, Piscataway, NJ, United States},

address = {Beijing, China},

abstract = {In this work it is presented a logical framework to model some aspects of contextuality; i.e. generating contexts in a multi-context setting. Following the existing work on Extended Logic Programming and Multi-Agent Systems, a contextual reasoning procedure for a particular class of multi-context systems, the law ones, is proposed based on the Grice's maxims, which in turn are used to support a larger set of contexts by combining contexts into compound structures, thus defining a logic of contexts. The notion of compound contexts reflects the beliefs, desires, intentions and obligations, among others, that depend on the problem, leading to a variety of dynamic context formations. In its applied form, it will be considered the Portuguese Public Prosecution Service, which is the state body entrusted with representing the state, bringing criminal cases to court, defending democratic legality, and any other interests that The Law determines.},

note = {cited By 6; Conference of Proceedings of the 1997 IEEE International Conference on Intelligent Processing Systems, ICIPS'97. Part 1 (of 2) ; Conference Date: 28 October 1997 Through 31 October 1997; Conference Code:48321},

keywords = {Artificial intelligence; Decision support systems; Laws and legislation, Contextual reasoning; Extended logic programming; Grice's maxims; Multi agent systems, Logic programming},

pubstate = {published},

tppubtype = {inproceedings}

}