Now showing items 1-20 of 29

    • Aggregation languages for moving object and places of interest 

      Gómez, Leticia Irene; Kuijpers, Bart; Vaisman, Alejandro Ariel (2008)
      "We address aggregate queries over GIS data and moving object data, where non-spatial information is stored in a data warehouse. We propose a formal data model and query language to express complex aggregate queries. Next, ...
    • An analysis of the suitability of test-based patch acceptance criteria 

      Zemín, Luciano; Gutiérrez Brida, Simón; Godio, Ariel; Cornejo, César; Degiovanni, Renzo; Regis, Germán; Aguirre, Nazareno; Frías, Marcelo (2017-05)
      "Program repair techniques attempt to fix programs by looking for patches within a search space of fix candidates. These techniques require a specification of the program to be repaired, used as an acceptance criterion for ...
    • Analytical queries on semantic trajectories using graph databases 

      Gómez, Leticia Irene; Kuijpers, Bart; Vaisman, Alejandro Ariel (2019)
      "This article studies the analysis of moving object data collected by location-aware devices, such as GPS, using graph databases. Such raw trajectories can be transformed into so-called semantic trajectories, which are ...
    • Automatically identifying sufficient object builders from Module APIs 

      Ponzio, Pablo; Bengolea, Valeria; Politano, Mariano; Aguirre, Nazareno; Frías, Marcelo (2019)
      "Various approaches to software analysis (e.g. test input generation, software model checking) require engineers to (manually) identify a subset of a module’s methods in order to drive the analysis. Given a module to be ...
    • Conceptualization maturity metrics for expert systems 

      Britos, Paola Verónica; García-Martínez, Ramón; Hauge, Ødwin (2006)
      “Metrics used on development of expert systems is not a well investigated problem area. This article suggests some metrics to be used to measure the maturity of the conceptualization process and the complexity of the ...
    • Data quality in a big data context 

      Arolfo, Franco A.; Vaisman, Alejandro Ariel (2018)
      "In each of the phases of a Big Data analysis process, data quality (DQ) plays a key role. Given the particular characteristics of the data at hand, the traditional DQ methods used for relational databases, based on quality ...
    • Detection of breast lesions in medical digital imaging using neural networks 

      Ferrero, Gustavo; Britos, Paola Verónica; García Martínez, Ramón (2006)
      "The purpose of this article is to present an experimental application for the detection of possible breast lesions by means of neural networks in medical digital imaging. This application broadens the scope of research ...
    • From conceptual to logical ETL design using BPMN and relational algebra 

      Awiti, Judith; Vaisman, Alejandro Ariel; Zimányi, Esteban (2019)
      "Extraction, transformation, and loading (ETL) processes are used to extract data from internal and external sources of an organization, transform these data, and load them into a data warehouse. The Business Process ...
    • From operational to declarative specifications using a genetic algorithm 

      Molina, Facundo; Degiovanni, Renzo; Regis, Germán; Castro, Pablo; Aguirre, Nazareno; Frías, Marcelo (2018-05)
      "In specification-based test generation, sometimes having a formal specification is not sufficient, since the specification may be in a different formalism from that required by the generation approach being used. In this ...
    • Fusion of magnetic and WiFi fingerprints for indoor positioning 

      Grisales Campeón, Juan Pablo; López, Sebastián; de Jesús Meleán, Sergio R.; Moldovan, Horatiu; Parisi, Daniel R.; Fierens, Pablo Ignacio (2018)
      "WiFi received signal strength (RSS) and magnetic field intensity are common measures for indoor localization because they are readily available on most mobile devices. There is a vast literature on smartphone positioning ...
    • Identification of velocity variations in a seismic cube using neural networks 

      Cersósimo, Darío Sergio; Ravazoli, Claudia; García Martínez, Ramón (2006)
      "This research allow to infer that from seismic section and well data it is possible to determine velocity anomalies variations in layers with thicknesses below to the seismic resolution using neuronal networks."
    • Learning life cycle in autonomous intelligent systems 

      Ierache, Jorge; García-Martínez, Ramón; De Giusti, Armando (2008)
      "Autonomous Intelligent Systems (AIS) integrate planning, learning, and execution in a closed loop, showing an autonomous intelligent behavior. A Learning Life Cycle (LLC) Operators, Trained Base Operators and World ...
    • Methods and frameworks for sampling 𝒢I0 data 

      Chan, Debora; Rey, Andrea; Gambini, Juliana; Cassetti, Julia; Frery, Alejandro C. (2017-12)
      "The 𝒢I0 distribution is a competitive tool for SAR image description. This distribution is useful for describing speckled imagery because it models adequately areas with different degrees of texture. Data simulation is ...
    • Modeling industrial business processes for querying and retrieving using OWL+SWRL 

      Roy, Suman; Silvatici Dayan, Gabriel; Devaraja Holla, V. (2018-10)
      "Process modeling forms a core activity in many organizations in which different entities and stakeholders interact for smooth operation and management of enterprises. There have been few work on semantically labeling ...
    • On the effect of object redundancy elimination in randomly testing collection classes 

      Ponzio, Pablo; Bengolea, Valeria; Gutiérrez Brida, Simón; Scilingo, Gastón; Aguirre, Nazareno; Frías, Marcelo (2018-05)
      "In this paper, we analyze the effect of reducing object redundancy in random testing, by comparing the Randoop random testing tool with a version of the tool that disregards tests that only produce objects that have been ...
    • Optimizing relationships information in repertory grids 

      Calot, Enrique; Britos, Paola Verónica; García Martínez, Ramón (2008)
      "The Repertory Grid method is widely used in knowledge engineering to infer functional relationships between constructs given by an expert. The method is ignoring information that could be used to infer more precise ...
    • Outliers resistant methods for motor imagery classification 

      Villar, Ana Julia (2018-08)
      "Common spatial patterns analysis (CSP) and linear discriminant analysis (LDA) are widely used techniques for spatial filtering and classifying in motor imagery (MI). However, CSP is very sensitive to noise and artifacts. ...
    • Patterns in temporal series of meteorological variables using SOM & TDIDT 

      Cogliati, Marisa; Britos, Paola Verónica; García Martínez, Ramón (2006)
      "The purpose of the present article is to investigate if there exist any such set of temporal stable patterns in temporal series of meteorological variables studying series of air temperature, wind speed and direction an ...
    • Pedagogical Protocols Selection Automatic Assistance 

      Britos, Paola Verónica; Cataldi, Zulma; Sierra, Enrique; García Martínez, Ramón (2008)
      "The preliminary results presented in this paper corresponds to a research project oriented to the search of the relationship between the predilection of students concerning learning style and the pedagogical protocols ...
    • Performing OLAP over graph data: query language, implementation, and a case study 

      Gómez, Leticia Irene; Kuijpers, Bart; Vaisman, Alejandro Ariel (2017)
      "In current Big Data scenarios, traditional data warehousing and Online Analytical Processing (OLAP) operations on cubes are clearly not sufficient to address the current data analysis requirements. Nevertheless, OLAP ...