Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Alfonso E. Márquez-Chamorro"'
Publikováno v:
Evolutionary Bioinformatics, Vol 2015, Iss 11, Pp 223-229 (2015)
Externí odkaz:
https://doaj.org/article/2277a0ed867a4f45aed646d84ed78fca
Autor:
Adela del-Río-Ortega, José Antonio Parejo, Sergio Segura, Javier Troya, Alfonso E. Márquez-Chamorro, Antonio Gamez-Diaz
Publikováno v:
IEEE Revista Iberoamericana de Tecnologias del Aprendizaje. 15:183-191
This paper reports our experience in flipping a second- year undergraduate course on software architecture and integration, taught in the second course of a Software Engineering degree. We compare the application of the flipped-classroom methodology
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81b0b720683d57267ee7d6e97c74b6b2
https://doi.org/10.1109/rita.2020.3008132
https://doi.org/10.1109/rita.2020.3008132
Autor:
Alfonso E. Márquez-Chamorro, Isabel A. Nepomuceno-Chamorro, Manuel Resinas, Antonio Ruiz-Cortés
Publikováno v:
Advanced Information Systems Engineering ISBN: 9783031074714
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::490565ebc80a6aea5ed6482f5340c865
https://doi.org/10.1007/978-3-031-07472-1_18
https://doi.org/10.1007/978-3-031-07472-1_18
Autor:
Flávia Maria Santoro, Kate Revoredo, Adela del-Río-Ortega, Alfonso E. Márquez-Chamorro, Antonio Ruiz-Cortés, Manuel Resinas
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
IEEE Access, Vol 8, Pp 222050-222063 (2020)
instname
IEEE Access, Vol 8, Pp 222050-222063 (2020)
It is well-known that context impacts running instances of a process. Thus, defining and using contextual information may help to improve the predictive monitoring of business processes, which is one of the main challenges in process mining. However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b35bc56b04cbb7e70993a68c16ce47ee
Publikováno v:
IEEE Transactions on Services Computing. 11:962-977
Nowadays, process mining is becoming a growing area of interest in business process management (BPM). Process mining consists in the extraction of information from the event logs of a business process. From this information, we can discover process m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d10972b214b4eaa74ab3a5883c89df89
https://doi.org/10.1109/tsc.2017.2772256
https://doi.org/10.1109/tsc.2017.2772256
Publikováno v:
Expert Systems with Applications. 87:1-14
Predictive monitoring of business processes is a challenging topic of process mining which is concerned with the prediction of process indicators of running process instances. The main value of predictive monitoring is to provide information in order
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06777177d6680ec3d4e988a8ea2bfa02
https://doi.org/10.1016/j.eswa.2017.05.069
https://doi.org/10.1016/j.eswa.2017.05.069
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030176419
ICSOC Workshops
idUS. Depósito de Investigación de la Universidad de Sevilla
Fundacion Sancho el Sabio Fundazioa (FSS)
ICSOC Workshops
idUS. Depósito de Investigación de la Universidad de Sevilla
Fundacion Sancho el Sabio Fundazioa (FSS)
The evaluation of business process predictive monitoring models usually focuses on accuracy of predictions. While accuracy aggre gates performance across a set of process cases, in many practical sce narios decision makers are interested in the relia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed472e2b73f4e0bf228eb517c5ec6f92
https://doi.org/10.1007/978-3-030-17642-6_30
https://doi.org/10.1007/978-3-030-17642-6_30
Autor:
Gualberto Asencio-Cortés, Jesús S. Aguilar-Ruiz, Cosme E. Santiesteban-Toca, Alfonso E. Márquez-Chamorro
Publikováno v:
Applied Soft Computing. 35:398-410
Graphical abstractDisplay Omitted HighlightsA compilation of soft computing approaches for solving the protein structure prediction problem.90 methods of the last 15 years have been categorized according to the type of methodology employed.A summary
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d21519d058a8e0031d1275bd52cf06f1
https://doi.org/10.1016/j.asoc.2015.06.024
https://doi.org/10.1016/j.asoc.2015.06.024
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 12:823-824
The Regression Network plugin for Cytoscape ( RegNetC ) implements the RegNet algorithm for the inference of transcriptional association network from gene expression profiles. This algorithm is a model tree-based method to detect the relationship bet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::975d91b990ad443d542a2123bb7fa480
https://doi.org/10.1109/tcbb.2014.2385702
https://doi.org/10.1109/tcbb.2014.2385702
Publikováno v:
IEEE Congress on Evolutionary Computation
Protein structure prediction remains one of the most important challenges in molecular biology. Contact maps have been extensively used as a simplified representation of protein structures. In this work, we propose a multi-objective evolutionary appr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76831ff88fea92ae051da4734526953b
https://doi.org/10.1109/cec.2013.6557622
https://doi.org/10.1109/cec.2013.6557622