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Unveiling fieldbus network technology through project-based learning
(2012-12-01)
Fieldbus communications networks are a fundamental part of modern industrial automation technique. This paperwork presents an application of project-based learning (PBL) paradigm to help electrical engineering students ...
Unveiling fieldbus network technology through project-based learning
(2012-12-01)
Fieldbus communications networks are a fundamental part of modern industrial automation technique. This paperwork presents an application of project-based learning (PBL) paradigm to help electrical engineering students ...
LRP-Based path relevances for global explanation of deep architectures
(Elsevier B.V., 2020)
Semi-supervised learning guided by the modularity measure in complex networks
(ELSEVIER SCIENCE BVAMSTERDAM, 2012)
Semi-supervised learning techniques have gained increasing attention in the machine learning community, as a result of two main factors: (1) the available data is exponentially increasing; (2) the task of data labeling is ...
Pattern Recognition for the Identification of Learning Styles on Educational Mobile and Social Network Tools
(Revista Computación y Sistemas; Vol. 15 No. 2, 2011-12-13)
Abstract. In this paper we present an implementation of pattern recognition techniques as the central part of an adaptive learning social network to be used as an authoring and learning tool. With this tool, adaptive ...
Towards a Model of Learning on Online Social Networking Sites [PowerPoint presentation]
(2013-09-19)
This presentation considers a model to describe how teachers can learn in an online educational social network site (SNS). There are three sections to the presentation: discussions about traditional professional development ...
Automatic construction of mobile social networks on Moodle
(01/01/2016)
The traditional teaching methods of Learning Management Systems (or LMS) are rigid in nature and impose limitations on the teaching process. By having a closed pattern, these tools end up hurting the students, by preventing ...
Inductive transfer for learning Bayesian networks
(Springer, 2009)