ListarLCC - Contribuciones a congresos científicos por tema "Machine learning"
Mostrando ítems 1-8 de 8
-
A generic LSTM neural network architecture to infer heterogeneous model transformations.
(2023)Models capture relevant properties of systems. During the models’ life-cycle, they are subjected to manipulations with different goals such as managing software evolution, performing analysis, increasing developers’ ... -
Analysis of functional connectome pipelines for the diagnosis of autism spectrum disorders
(2022-05)This paper explores the effect of using different pipelines to compute connectomes (matrices representing brain connections) and use them to train machine learning models with the goal of diagnosing Autism Spectrum ... -
Deep Learning to Analyze RNA-Seq Gene Expression Data
(Springer, 2017)Deep learning models are currently being applied in several areas with great success. However, their application for the analysis of high-throughput sequencing data remains a challenge for the research community due to ... -
Detección de fraude en transacciones Blockchain usando procesos de Machine Learning, una Aproximación al Estado del Arte.
(2023)Las aplicaciones financieras basadas en tecnología blockchain son cada vez más comunes en el día a día de la economía regulada global. Con este precedente, y en una contextualización de la detección de fraude mediante el ... -
Learning Bayesian Networks for Student Modeling
(2015-07-03)In the last decade, there has been a growing interest in using Bayesian Networks (BN) in the student modelling problem. This increased interest is probably due to the fact that BNs provide a sound methodology for this ... -
Machine learning models to search relevant genetic signatures in clinical context
(2017-06-26)Clinicians are interested in the estimation of robust and relevant genetic signatures from gene sequencing data. Many machine learning approaches have been proposed trying to address well-known issues of this complex ... -
Photovoltaic energy prediction using machine learning techniques.
(2023)Solar energy is becoming one of the most promising power sources in residential, commercial, and industrial applications. Solar photovoltaic (PV) facilities use PV cells that convert solar irradiation into electric power. ... -
A transfer-learning approach to feature extraction from cancer transcriptomes with deep autoencoders
(2019-06-18)The diagnosis and prognosis of cancer are among the more challenging tasks that oncology medicine deals with. With the main aim of fitting the more appropriate treatments, current personalized medicine focuses on using ...