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Listar por autor "Alic, Andrei Stefan"

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Listar por autor "Alic, Andrei Stefan"

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    A Cloud-Based Framework for Machine Learning Workloads and Applications 
    Lopez Garcia, Alvaro; Marco De Lucas, Jesús; Antonacci, Marica; Zu Castell, Wolfgang; David, Mario; Hardt, Marcus; Lloret Iglesias, Lara; Moltó, Germán; Plociennik, Marcin; Tran, Viet; Alic, Andrei Stefan; Caballer Fernández, Miguel; Campos Plasencia, Isabel; Costantini, Alessandro; Dlugolinsky, Stefan (Institute of Electrical and Electronics Engineers, 2020-01-06)
    [EN] In this paper we propose a distributed architecture to provide machine learning practitioners with a set of tools and cloud services that cover the whole machine learning development cycle: ranging from the models ...
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    BIGSEA: A Big Data analytics platform for public transportation information 
    Alic, Andrei Stefan; Almeida, Jussara; Aloisio, Giovanni; Andrade, Nazareno; Antunes, Nuno; Ardagna, Danilo; Badía, R.; Basso, Tania; Blanquer Espert, Ignacio; Braz, Tarciso; Brito, A.; Elia, Donatello; Fiore, Sandro; Guedes, Dorgival; Lattuada, Marco (Elsevier, 2019-07)
    [EN] Analysis of public transportation data in large cities is a challenging problem. Managing data ingestion, data storage, data quality enhancement, modelling and analysis requires intensive computing and a non-trivial ...
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    Implementación de un sistema básico de Blockchain y su aplicación en la trazabilidad de datos médicos 
    Montoliu Rico, Pablo (Universitat Politècnica de València, 2022-10-19)
    [ES[ En este trabajo se expone la implementación de un software de almacenamiento de datos de forma segura mediante la creación de una cadena blockchain así como una explicación detallada de sus características básicas ...
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    Improved Error Correction of NGS Data 
    Alic, Andrei Stefan (Universitat Politècnica de València, 2016-07-15)
    [EN] The work done for this doctorate thesis focuses on error correction of Next Generation Sequencing (NGS) data in the context of High Performance Computing (HPC). Due to the reduction in sequencing cost, the increasing ...
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    MuffinEc: Error Correction for de Novo Assembly via Greedy Partitioning and Sequence Alignment 
    Alic, Andrei Stefan; Tomás Domínguez, Andrés Enrique; Medina Castelló, Ignacio; Blanquer Espert, Ignacio (Elsevier, 2016-02-01)
    Error correction is typically the first step of de Novo genome assembly from NGS data. This step has an important impact on the quality and speed of the assembly process. However, the majority of available stand-alone error ...
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    Objective review of de novo stand-alone error correction methods for NGS data 
    Alic, Andrei Stefan; Ruzafa, David; Dopazo, Joaquin; Blanquer Espert, Ignacio (Wiley, 2016-04)
    [EN] The sequencing market has increased steadily over the last few years, with different approaches to read DNA information prone to different types of errors. Multiple studies demonstrated the impact of sequencing errors ...