

de Recherche et d’Innovation
en Cybersécurité et Société
El-Kass, W.; Gagnon, S.; Iglewski, M.
A visual and results-driven rules composition approach for better information extraction Article d'actes
Dans: A., Zaremba M. Sasiadek J. Dolgui (Ed.): IFAC-PapersOnLine, p. 112–117, 2015, ISBN: 24058963 (ISSN), (Issue: 3 Journal Abbreviation: IFAC-PapersOnLine).
Résumé | Liens | BibTeX | Étiquettes: Automation, F-score, Flow visualization, Harmonic mean, Information analysis, Information extraction, Information extraction rules, Information retrieval, Rule based, Rule composition, Rules composition, Visual process, Visualization
@inproceedings{el-kass_visual_2015,
title = {A visual and results-driven rules composition approach for better information extraction},
author = {W. El-Kass and S. Gagnon and M. Iglewski},
editor = {Zaremba M. Sasiadek J. Dolgui A.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84953876235&doi=10.1016%2fj.ifacol.2015.06.067&partnerID=40&md5=3cd38b1d6b9efc819cd882d181cdda92},
doi = {10.1016/j.ifacol.2015.06.067},
isbn = {24058963 (ISSN)},
year = {2015},
date = {2015-01-01},
booktitle = {IFAC-PapersOnLine},
volume = {28},
pages = {112–117},
abstract = {We present a highly visual process for creating and combining elementary information extraction rules, based on their results, in order to find the rules combination that produces the most accurate information extraction results. A rule's accuracy is determined by its F-Score which is the harmonic mean of the precision and the recall of that rule. Rules are combined using logical OR and AND operators. Running a few hundreds rules combinations over a corpus, in order to determine their accuracies, can take days. Using our approach, millions of rules combinations can be tested and their accuracies (F-Score) can be calculated in few seconds. A prototype was created to demonstrate the effectiveness of our approach. © 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.},
note = {Issue: 3
Journal Abbreviation: IFAC-PapersOnLine},
keywords = {Automation, F-score, Flow visualization, Harmonic mean, Information analysis, Information extraction, Information extraction rules, Information retrieval, Rule based, Rule composition, Rules composition, Visual process, Visualization},
pubstate = {published},
tppubtype = {inproceedings}
}
Allili, M. S.; Ziou, D.
Automatic color-texture image segmentation by using active contours Article de journal
Dans: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4153 LNCS, p. 495–504, 2006, ISSN: 03029743, (ISBN: 354037597X; 9783540375975 Place: Xi'an Publisher: Springer Verlag).
Résumé | Liens | BibTeX | Étiquettes: Active contours, Algorithms, Automatic segmentation, Automation, Boundary localization, Color texture segmentation, Color vision, Image segmentation, Information analysis, Textures
@article{allili_automatic_2006,
title = {Automatic color-texture image segmentation by using active contours},
author = {M. S. Allili and D. Ziou},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-33750065117&doi=10.1007%2f11821045_52&partnerID=40&md5=a2eb2582bd6d565ff0c64278e31112a1},
doi = {10.1007/11821045_52},
issn = {03029743},
year = {2006},
date = {2006-01-01},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {4153 LNCS},
pages = {495–504},
abstract = {In this paper, we propose a novel method for unsupervised color-texture segmentation. The approach aims at combining color and texture features and active contours to build a fully automatic segmentation algorithm. By fully automatic, we mean the steps of region initialization and calculation of the number of regions are performed automatically by the algorithm. Furthermore, the approach combines boundary and region information for accurate region boundary localization. We validate the approach by examples of synthetic and natural color-texture image segmentation. © Springer-Verlag Berlin Heidelberg 2006.},
note = {ISBN: 354037597X; 9783540375975
Place: Xi'an
Publisher: Springer Verlag},
keywords = {Active contours, Algorithms, Automatic segmentation, Automation, Boundary localization, Color texture segmentation, Color vision, Image segmentation, Information analysis, Textures},
pubstate = {published},
tppubtype = {article}
}
Gagnon, S.
Are we ready for the service oriented architecture? Article de journal
Dans: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3806 LNCS, p. 765, 2005, ISSN: 03029743, (ISBN: 3540300171; 9783540300175 Place: New York, NY).
Résumé | Liens | BibTeX | Étiquettes: Administrative data processing, Adopter perspectives, Business Rules Systems, Computer architecture, Computer science, Configuration Management, Information analysis, Information technology, Open Source Solutions, Problem solving, Service oriented architecture, World Wide Web
@article{gagnon_are_2005,
title = {Are we ready for the service oriented architecture?},
author = {S. Gagnon},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-33744824076&doi=10.1007%2f11581062_86&partnerID=40&md5=0a3efa749b3c4efa8cf2039b0ea43815},
doi = {10.1007/11581062_86},
issn = {03029743},
year = {2005},
date = {2005-01-01},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {3806 LNCS},
pages = {765},
abstract = {This Industry Track Panel poses a strategic question, "Are We Ready for the Service Oriented Architecture (SOA)?" We discuss this issue from both vendor and adopter perspectives in the company of 5 IT Executives. In particular, we go beyond the discussion of SOA standards as such, and try to assess the importance of this approach from the point of view of related technologies, such as Business Process Management, Enterprise Architecture, Configuration Management, Business Rules Systems, and Open Source Solutions. © Springer-Verlag Berlin Heidelberg 2005.},
note = {ISBN: 3540300171; 9783540300175
Place: New York, NY},
keywords = {Administrative data processing, Adopter perspectives, Business Rules Systems, Computer architecture, Computer science, Configuration Management, Information analysis, Information technology, Open Source Solutions, Problem solving, Service oriented architecture, World Wide Web},
pubstate = {published},
tppubtype = {article}
}