Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Andreu Sancho-Asensio"'
Publikováno v:
Information Sciences. :250-272
The increasing bulk of data generation in industrial and scientific applications has fostered practitioners' interest in mining large amounts of unlabeled data in the form of continuous, high speed, and time-changing streams of information. An appeal
Autor:
Andreu Sancho-Asensio, Itziar Arrieta-Salinas, Elisabet Golobardes, Virginia Jiménez-Ruano, José Enrique Armendáriz-Iñigo, Agustín Zaballos, Joan Navarro
Publikováno v:
Expert Systems with Applications. 41:5832-5842
Data mining techniques are traditionally divided into two distinct disciplines depending on the task to be performed by the algorithm: supervised learning and unsupervised learning. While the former aims at making accurate predictions after deeming a
Publikováno v:
Soft Computing. 18:1441-1461
The increasing integration of technology in the different areas of science and industry has resulted in the design of applications that generate large amounts of data on-line. Most often, extracting information from these data is key, in order to gai
Autor:
Elisabet Golobardes, Albert Orriols-Puig, Andreu Sancho-Asensio, Ruben Nicolas, Albert Fornells
Publikováno v:
Expert Systems with Applications. 40:5924-5931
Some of the real-world problems are represented with just one label but many of today's issues are currently being defined with multiple labels. This second group is important because multi-label classes provide a more global picture of the problem.
Autor:
Joan Navarro, Guillermo Ravera, Agustín Zaballos, José Enrique Armendáriz-Iñigo, Andreu Sancho-Asensio
Publikováno v:
IEEE Transactions on Industrial Informatics
Smart grids are typically built by means of several techniques and technologies concerning poorly correlated research disciplines. Up to now, practitioners have decomposed the Smart Grid problem according to each knowledge domain, and, thus, some par
Autor:
Xavi Sole-Beteta, Andreu Sancho-Asensio, Joan Navarro, Agustín Zaballos, David Vernet, Xavi Canaleta, Virginia Jiménez-Ruano
Publikováno v:
ResearcherID
Online teaching courses are becoming an appealing alternative to traditional in-class learning methods, therefore driving practitioners to explore new strategies for delivering contents to an overwhelming number of students. Nevertheless, migrating f
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Autor:
José Antonio Montero, Joan Navarro, David Vernet, Xavi Sole, Andreu Sancho-Asensio, Xavi Canaleta
Publikováno v:
ResearcherID
Many of the new teaching methods that currently exist are based on collaborative learning. Indeed, cooperative work adds value to the processes of teaching and learning, allowing the acquisition of the Key Skills with greater ease and effectiveness.
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Autor:
Agustín Zaballos, Joan Navarro, Virginia Jiménez-Ruano, José Enrique Armendáriz-Iñigo, David Vernet, Andreu Sancho-Asensio
Publikováno v:
Scopus-Elsevier
The recent growth experimented by the Internet has fostered the interaction of many heterogeneous technologies under a common environment (i.e., the Internet of Things). Smart Grids entail a sound example of such situation where several devices from
Externí odkaz:
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