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Characterization of climatological time series using autoencoders
(Universidad La Salle, 2017-11-08)
Common problems in climatological time series data are high dimensionality, correlation between the sequential values and noise due to calibration of meteorological stations influencing dramatically in the quality of ...
On Semantic Solutions for Efficient Approximate Similarity Search on Large-Scale Datasets
(Universidad La Salle, 2018-07-04)
Approximate similarity search algorithms based on hashing were proposed to query high-dimensional datasets due to its fast retrieval speed and low storage cost. Recent studies, promote the use of Convolutional Neural Network ...
Application of the KDD Process for the Visualization of Integrated Geo-Referenced Textual Data from the Pre-processing Phase
(Universidad La Salle, 2018-04-17)
Geo-referenced textual data has been the subject of multiple investigations, by providing opportunities to better understand certain phenomena according to the content that is shared, either on-line such as social networks, ...
Discovery of patterns in software metrics using clustering techniques
(2012 XXXVIII Conferencia Latinoamericana En Informatica (CLEI), 2012-10-01)
One mechanism for estimating software quality is through the use of metrics, which are functions that evaluates certain characteristics of the product quality development. A software product can be evaluated from different ...
A Behavior Tree-Based Model for Supporting the Analysis of Knowledge Transferred in Software R&D Teams
(Springer International Publishing Switzerland 2016, 2016-05-12)
Software R&D teams require proper forms of representing knowledge at carrying out software engineering
processes and researches. In this context, transfer of knowledge becomes a dynamic process because team
members ...
A visual analytics approach for exploration of high-dimensional time series based on neighbor-joining tree
(Universidad La Salle, 2018-06-21)
High-dimensional time series analysis through visual techniques poses many challenges due to the visualization solutions proposed until now for exploratory tasks are not well-oriented to high volume of data. When the data ...
A novel introduction to file I/O using KML and Google Earth
(Universidad La Salle, 2018-07-02)
In this paper, we propose the use of simple KML files to increase student engagement when learning file I/O. We also report on our trial study where we had one group of students learn I/O functions using conventional ...
A Process Reference Model for Managing Living Labs for ICT Innovation: A proposal based on ISO/IEC 15504
(Elsevier BV, 2013-07-16)
Living Labs are innovation infrastructures where software companies and research organizations collaborate with lead users to design and develop new products and services. There is not any reference model related to the ...
Developing a Holistic Understanding of Systems and Algorithms through Research Papers
(Universidad La Salle, 2017-07-03)
Even though a computer science degree is unavoidably broken into semesters and courses, we always hope that our students form a holistic picture of the discipline by the time they graduate. Yet as educators, we do not have ...
Hacia el Análisis de Conformidad Arquitectónica Continuo: Un Framework Generador de Grafos para Aplicaciones con Codificación Arquitectónicamente Evidente
(Conference: 5° Congreso Internacional de computación México - Colombia, At Colombia, 2015-09)
Durante el desarrollo de sistemas de software, frecuentemente se encuentran inconsistencias entre la arquitectura pretendida y la arquitectura presente en la implementación. Tal repercusión es denominada ...