Citations and socials
Miguel García Torres is an associate professor in the Escuela Politécnica Superior of the Universidad Pablo de Olavide. He received the BS degree in physics and the PhD degree in computer science from the Universidad de La Laguna, Tenerife, Spain, in 2001 and 2007, respectively. After obtaining the doctorate he held a postoc position in the Laboratory for Space Astrophysics and Theoretical Physics at the National institute of Aerospace Technology (INTA). There, he joined in the Gaia mission from the European Space Agency (ESA) and started to participate in the Gaia Data Processing and Analysis Consortium (DPAC) as a member of “Astrophysical Parameters”, Coordination Unit (CU8). He has been involved in the “Object Clustering Analysis” (OCA) Development Unit since then. His research areas of interests include machine learning, metaheuristics, big data, time series forecasting, bioinformatics and astrostatistics.
Publications
2022 |
F. Morales and M. García-Torres and G. Velázquez and F. Daumas-Ladouce and P. Gardel-Sotomayor and F. Gómez-Vela and F. Divina and J.L. Vázquez Noguera and C. Sauer Ayala and D. Pinto-Roa Analysis of Electric Energy Consumption Profiles Using a Machine Learning Approach: A Paraguayan Case Study Journal Article Electronics, 11 (2), pp. 267, 2022. @article{morales2022analysis, title = {Analysis of Electric Energy Consumption Profiles Using a Machine Learning Approach: A Paraguayan Case Study}, author = {F. Morales and M. García-Torres and G. Velázquez and F. Daumas-Ladouce and P. Gardel-Sotomayor and F. Gómez-Vela and F. Divina and J.L. Vázquez Noguera and C. Sauer Ayala and D. Pinto-Roa}, url = {https://www.mdpi.com/2079-9292/11/2/267}, doi = {10.3390/electronics11020267}, year = {2022}, date = {2022-01-01}, journal = {Electronics}, volume = {11}, number = {2}, pages = {267}, publisher = {Multidisciplinary Digital Publishing Institute pubstate = published}, abstract = {Correctly defining and grouping electrical feeders is of great importance for electrical system operators. In this paper, we compare two different clustering techniques, K-means and hierarchical agglomerative clustering, applied to real data from the east region of Paraguay. The raw data were pre-processed, resulting in four data sets, namely, (i) a weekly feeder demand, (ii) a monthly feeder demand, (iii) a statistical feature set extracted from the original data and (iv) a seasonal and daily consumption feature set obtained considering the characteristics of the Paraguayan load curve. Considering the four data sets, two clustering algorithms, two distance metrics and five linkage criteria a total of 36 models with the Silhouette, Davies–Bouldin and Calinski–Harabasz index scores was assessed. The K-means algorithms with the seasonal feature data sets showed the best performance considering the Silhouette, Calinski–Harabasz and Davies–Bouldin validation index scores with a configuration of six clusters.}, keywords = {}, pubstate = {published}, tppubtype = {article} } Correctly defining and grouping electrical feeders is of great importance for electrical system operators. In this paper, we compare two different clustering techniques, K-means and hierarchical agglomerative clustering, applied to real data from the east region of Paraguay. The raw data were pre-processed, resulting in four data sets, namely, (i) a weekly feeder demand, (ii) a monthly feeder demand, (iii) a statistical feature set extracted from the original data and (iv) a seasonal and daily consumption feature set obtained considering the characteristics of the Paraguayan load curve. Considering the four data sets, two clustering algorithms, two distance metrics and five linkage criteria a total of 36 models with the Silhouette, Davies–Bouldin and Calinski–Harabasz index scores was assessed. The K-means algorithms with the seasonal feature data sets showed the best performance considering the Silhouette, Calinski–Harabasz and Davies–Bouldin validation index scores with a configuration of six clusters. |
G. Velázquez and F. Morales and M. García-Torres and F. Gómez-Vela and F. Divina and J.L. Vázquez Noguera and F. Daumas-Ladouce and C. Ayala and D. Pinto-Roaand P. Gardel-Sotomayor Distribution level Electric current consumption and meteorological data set of the East region of Paraguay Journal Article Data in Brief, 40 , pp. 107699, 2022. @article{velazquez2022distribution, title = {Distribution level Electric current consumption and meteorological data set of the East region of Paraguay}, author = {G. Velázquez and F. Morales and M. García-Torres and F. Gómez-Vela and F. Divina and J.L. Vázquez Noguera and F. Daumas-Ladouce and C. Ayala and D. Pinto-Roaand P. Gardel-Sotomayor}, url = {https://www.sciencedirect.com/science/article/pii/S2352340921009744}, doi = {10.1016/j.dib.2021.107699}, year = {2022}, date = {2022-01-01}, journal = {Data in Brief}, volume = {40}, pages = {107699}, publisher = {Elsevier pubstate = published}, abstract = {This paper presents a data set with information on meteorological data and electricity consumption in the department of Alto Paraná, Paraguay. The meteorological data were registered every three hours at the Aeropuerto Guarani, Department of Alto Paraná, which belongs to the Dirección Nacional de Aeronáutica Civil of Paraguay. The final data consists of a total of 22.445 records of temperature, relative humidity, wind speed and atmospheric pressure. On the other hand, the electrical energy consumption data set contains a total of 1.848.947 records, all of them coming from the one hundred and fifteen feeders located throughout the Alto Paraná region of Paraguay. Electrical energy consumption data was provided by Administración Nacional de Electricidad (ANDE). The analysis of this data can yield insights regarding the energy consumption in the area.}, keywords = {}, pubstate = {published}, tppubtype = {article} } This paper presents a data set with information on meteorological data and electricity consumption in the department of Alto Paraná, Paraguay. The meteorological data were registered every three hours at the Aeropuerto Guarani, Department of Alto Paraná, which belongs to the Dirección Nacional de Aeronáutica Civil of Paraguay. The final data consists of a total of 22.445 records of temperature, relative humidity, wind speed and atmospheric pressure. On the other hand, the electrical energy consumption data set contains a total of 1.848.947 records, all of them coming from the one hundred and fifteen feeders located throughout the Alto Paraná region of Paraguay. Electrical energy consumption data was provided by Administración Nacional de Electricidad (ANDE). The analysis of this data can yield insights regarding the energy consumption in the area. |
S. Gómez-Guerrero and I. Ortiz and G. and Sosa-Cabrera and M. García-Torres and C.E. Schaerer Measuring Interactions in Categorical Datasets Using Multivariate Symmetrical Uncertainty Journal Article Entropy, 24 (1), pp. 64, 2022. @article{gomez2022measuring, title = {Measuring Interactions in Categorical Datasets Using Multivariate Symmetrical Uncertainty}, author = {S. Gómez-Guerrero and I. Ortiz and G. and Sosa-Cabrera and M. García-Torres and C.E. Schaerer}, url = {https://www.mdpi.com/1099-4300/24/1/64}, doi = {10.3390/e24010064}, year = {2022}, date = {2022-01-01}, journal = {Entropy}, volume = {24}, number = {1}, pages = {64}, publisher = {Multidisciplinary Digital Publishing Institute}, abstract = {Interaction between variables is often found in statistical models, and it is usually expressed in the model as an additional term when the variables are numeric. However, when the variables are categorical (also known as nominal or qualitative) or mixed numerical-categorical, defining, detecting, and measuring interactions is not a simple task. In this work, based on an entropy-based correlation measure for n nominal variables (named as Multivariate Symmetrical Uncertainty (MSU)), we propose a formal and broader definition for the interaction of the variables. Two series of experiments are presented. In the first series, we observe that datasets where some record types or combinations of categories are absent, forming patterns of records, which often display interactions among their attributes. In the second series, the interaction/non-interaction behavior of a regression model (entirely built on continuous variables) gets successfully replicated under a discretized version of the dataset. It is shown that there is an interaction-wise correspondence between the continuous and the discretized versions of the dataset. Hence, we demonstrate that the proposed definition of interaction enabled by the MSU is a valuable tool for detecting and measuring interactions within linear and non-linear models.}, keywords = {}, pubstate = {published}, tppubtype = {article} } Interaction between variables is often found in statistical models, and it is usually expressed in the model as an additional term when the variables are numeric. However, when the variables are categorical (also known as nominal or qualitative) or mixed numerical-categorical, defining, detecting, and measuring interactions is not a simple task. In this work, based on an entropy-based correlation measure for n nominal variables (named as Multivariate Symmetrical Uncertainty (MSU)), we propose a formal and broader definition for the interaction of the variables. Two series of experiments are presented. In the first series, we observe that datasets where some record types or combinations of categories are absent, forming patterns of records, which often display interactions among their attributes. In the second series, the interaction/non-interaction behavior of a regression model (entirely built on continuous variables) gets successfully replicated under a discretized version of the dataset. It is shown that there is an interaction-wise correspondence between the continuous and the discretized versions of the dataset. Hence, we demonstrate that the proposed definition of interaction enabled by the MSU is a valuable tool for detecting and measuring interactions within linear and non-linear models. |
2021 |
A. Lopez-Fernandez and D. Rodriguez-Baena and F. Gomez-Vela and F. Divina and M. Garcia-Torres A multi-GPU biclustering algorithm for binary datasets Journal Article Journal of Parallel and Distributed Computing, 147 , pp. 209–219, 2021. @article{lopez2021multi, title = {A multi-GPU biclustering algorithm for binary datasets}, author = {A. Lopez-Fernandez and D. Rodriguez-Baena and F. Gomez-Vela and F. Divina and M. Garcia-Torres}, doi = {10.1016/j.jpdc.2020.09.009}, year = {2021}, date = {2021-01-01}, journal = {Journal of Parallel and Distributed Computing}, volume = {147}, pages = {209--219}, publisher = {Elsevier pubstate = published}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
R. Parra and V. Ojeda and J.L. Vázquez Noguera and M. García-Torres and J.C. Mello-Román and C. Villalba and J. Facon and F. Divina and O. Cardozo and V. Castillo A Trust-Based Methodology to Evaluate Deep Learning Models for Automatic Diagnosis of Ocular Toxoplasmosis from Fundus Images Journal Article Diagnostics, 11 (11), pp. 1951, 2021. @article{parra2021trust, title = {A Trust-Based Methodology to Evaluate Deep Learning Models for Automatic Diagnosis of Ocular Toxoplasmosis from Fundus Images}, author = {R. Parra and V. Ojeda and J.L. Vázquez Noguera and M. García-Torres and J.C. Mello-Román and C. Villalba and J. Facon and F. Divina and O. Cardozo and V. Castillo}, doi = {10.3390/diagnostics11111951}, year = {2021}, date = {2021-01-01}, journal = {Diagnostics}, volume = {11}, number = {11}, pages = {1951}, publisher = {Multidisciplinary Digital Publishing Institute pubstate = published}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
P.M. Martínez-García and M. García-Torres and F. Divina and J. Terrón-Bautista and I. Delgado-Sainz and F. Gómez-Vela and F. Cortés-Ledesma Genome-wide prediction of topoisomerase II $beta$ binding by architectural factors and chromatin accessibility Journal Article PLoS computational biology, 17 (1), pp. e1007814, 2021. @article{martinez2021genome, title = {Genome-wide prediction of topoisomerase II $beta$ binding by architectural factors and chromatin accessibility}, author = {P.M. Martínez-García and M. García-Torres and F. Divina and J. Terrón-Bautista and I. Delgado-Sainz and F. Gómez-Vela and F. Cortés-Ledesma}, doi = {10.1371/journal.pcbi.1007814}, year = {2021}, date = {2021-01-01}, journal = {PLoS computational biology}, volume = {17}, number = {1}, pages = {e1007814}, publisher = {Public Library of Science San Francisco, CA USA pubstate = published}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
S.A. Grillo and J.C. Román and J.D. Mello-Román and J.L. Vázquez Noguera and M. García-Torres and F. Divina and P.E. Sotomayor Adjacent Inputs With Different Labels and Hardness in Supervised Learning Journal Article IEEE Access, pp. 162487–162498, 2021. @article{grillo2021adjacent, title = {Adjacent Inputs With Different Labels and Hardness in Supervised Learning}, author = {S.A. Grillo and J.C. Román and J.D. Mello-Román and J.L. Vázquez Noguera and M. García-Torres and F. Divina and P.E. Sotomayor}, doi = {10.1109/ACCESS.2021.3131150 volume=9}, year = {2021}, date = {2021-01-01}, journal = {IEEE Access}, pages = {162487--162498}, publisher = {IEEE pubstate = published}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
J. Ayala and M. García-Torres and J.L. Vázquez Noguera and F. Gómez-Vela and F. Divina Technical analysis strategy optimization using a machine learning approach in stock market indices Journal Article Knowledge-Based Systems, pp. 107119, 2021. @article{ayala2021technical, title = {Technical analysis strategy optimization using a machine learning approach in stock market indices}, author = {J. Ayala and M. García-Torres and J.L. Vázquez Noguera and F. Gómez-Vela and F. Divina}, doi = {10.1016/j.knosys.2021.107119 volume=225}, year = {2021}, date = {2021-01-01}, journal = {Knowledge-Based Systems}, pages = {107119}, publisher = {Elsevier pubstate = published}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
V.E. Castillo Benítez and I. Castro Matto and J.C. Mello Román and J.L. Vázquez Noguera and M. García-Torres and J. Ayala and D.P. Pinto-Roa and P.E. Gardel-Sotomayor and J. Facon and S.A. Grillo Dataset from fundus images for the study of diabetic retinopathy Journal Article Data in Brief, 36 , pp. 107068, 2021. @article{benitez2021dataset, title = {Dataset from fundus images for the study of diabetic retinopathy}, author = {V.E. Castillo Benítez and I. Castro Matto and J.C. Mello Román and J.L. Vázquez Noguera and M. García-Torres and J. Ayala and D.P. Pinto-Roa and P.E. Gardel-Sotomayor and J. Facon and S.A. Grillo}, url = {https://www.sciencedirect.com/science/article/pii/S2352340921003528}, doi = {10.1016/j.dib.2021.107068}, year = {2021}, date = {2021-01-01}, journal = {Data in Brief}, volume = {36}, pages = {107068}, publisher = {Elsevier}, abstract = {This article presents a database containing 757 color fundus images acquired at the Department of Ophthalmology of the Hospital de Clínicas, Facultad de Ciencias Médicas (FCM), Universidad Nacional de Asunción (UNA), Paraguay. Firstly, the retinal images were acquired with a clinical procedure presented in this paper. The acquisition of the retinographies was made through the Visucam 500 camera of the Zeiss brand. Next, two expert ophthalmologists have classified the dataset. These data can help physicians and researchers in the detection of cases of Non-Proliferative Diabetic Retinopathy (NPDR) and Proliferative Diabetic Retinopathy (PDR), in their different stages. The dataset generated will be useful for ophthalmologists and researchers to work on automatic detection algorithms for Diabetic Retinopathy (DR).}, keywords = {}, pubstate = {published}, tppubtype = {article} } This article presents a database containing 757 color fundus images acquired at the Department of Ophthalmology of the Hospital de Clínicas, Facultad de Ciencias Médicas (FCM), Universidad Nacional de Asunción (UNA), Paraguay. Firstly, the retinal images were acquired with a clinical procedure presented in this paper. The acquisition of the retinographies was made through the Visucam 500 camera of the Zeiss brand. Next, two expert ophthalmologists have classified the dataset. These data can help physicians and researchers in the detection of cases of Non-Proliferative Diabetic Retinopathy (NPDR) and Proliferative Diabetic Retinopathy (PDR), in their different stages. The dataset generated will be useful for ophthalmologists and researchers to work on automatic detection algorithms for Diabetic Retinopathy (DR). |
H. Ho Shin and C. Sauer Ayala and P. Pérez-Estigarribia and S.A. Grillo and L. Segovia-Cabrera and M. García-Torres and C. Gaona and S. Irala and M.E. Pedrozo and G. Sequera and J.L. Vázquez Noguera and E. De Los Santos A Mathematical Model for COVID-19 with Variable Transmissibility and Hospitalizations: A Case Study in Paraguay Journal Article Applied Sciences, 11 (20), pp. 9726, 2021. @article{shin2021mathematical, title = {A Mathematical Model for COVID-19 with Variable Transmissibility and Hospitalizations: A Case Study in Paraguay}, author = {H. Ho Shin and C. Sauer Ayala and P. Pérez-Estigarribia and S.A. Grillo and L. Segovia-Cabrera and M. García-Torres and C. Gaona and S. Irala and M.E. Pedrozo and G. Sequera and J.L. Vázquez Noguera and E. De Los Santos}, url = {https://www.mdpi.com/2076-3417/11/20/9726}, doi = {10.3390/app11209726}, year = {2021}, date = {2021-01-01}, journal = {Applied Sciences}, volume = {11}, number = {20}, pages = {9726}, publisher = {Multidisciplinary Digital Publishing Institute}, abstract = {Forecasting the dynamics of the number of cases with coronavirus disease 2019 (COVID-19) in a given population is a challenging task due to behavioural changes which occur over short periods. Planning of hospital resources and containment measures in the near term require a scenario analysis and the use of predictive models to gain insight into possible outcomes for each scenario. In this paper, we present the SEIR-H epidemiological model for the spread dynamics in a given population and the impact of COVID-19 in the local health system. It was developed as an extension of the classic SEIR model to account for required hospital resources and behavioural changes of the population in response to containment measures. Time-varying parameters such as transmissibility are estimated using Bayesian methods, based on the database of reported cases with a moving time-window strategy. The assessment of the model offers reasonable results with estimated parameters and simulations, reflecting the observed dynamics in Paraguay. The proposed model can be used to simulate future scenarios and possible effects of containment strategies, to guide the public institution response based on the available resources in the local health system.}, keywords = {}, pubstate = {published}, tppubtype = {article} } Forecasting the dynamics of the number of cases with coronavirus disease 2019 (COVID-19) in a given population is a challenging task due to behavioural changes which occur over short periods. Planning of hospital resources and containment measures in the near term require a scenario analysis and the use of predictive models to gain insight into possible outcomes for each scenario. In this paper, we present the SEIR-H epidemiological model for the spread dynamics in a given population and the impact of COVID-19 in the local health system. It was developed as an extension of the classic SEIR model to account for required hospital resources and behavioural changes of the population in response to containment measures. Time-varying parameters such as transmissibility are estimated using Bayesian methods, based on the database of reported cases with a moving time-window strategy. The assessment of the model offers reasonable results with estimated parameters and simulations, reflecting the observed dynamics in Paraguay. The proposed model can be used to simulate future scenarios and possible effects of containment strategies, to guide the public institution response based on the available resources in the local health system. |
F. Divina and F. Gómez-Vela and M. García-Torres Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast 2021. @editorial{divina2021advanced, title = {Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast}, author = {F. Divina and F. Gómez-Vela and M. García-Torres}, url = {https://www.mdpi.com/2076-3417/11/3/1261/htm}, doi = {10.3390/app11031261}, year = {2021}, date = {2021-01-01}, journal = {Applied Sciences}, volume = {11}, number = {3}, pages = {1261}, publisher = {Multidisciplinary Digital Publishing Institute}, keywords = {}, pubstate = {published}, tppubtype = {editorial} } |
Gaia Collaboration and M. García-Torres Gaia Early Data Release 3-Acceleration of the Solar System from Gaia astrometry Journal Article Astronomy & Astrophysics, 649 , pp. A9, 2021. @article{klioner2021gaia, title = {Gaia Early Data Release 3-Acceleration of the Solar System from Gaia astrometry}, author = {Gaia Collaboration and M. García-Torres}, url = {https://www.aanda.org/articles/aa/full_html/2021/05/aa39734-20/aa39734-20.html}, doi = {10.1051/0004-6361/202039734}, year = {2021}, date = {2021-01-01}, journal = {Astronomy & Astrophysics}, volume = {649}, pages = {A9}, publisher = {EDP sciences}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Gaia Collaboration and M. García-Torres Gaia Early Data Release 3-The Galactic anticentre Journal Article Astronomy & Astrophysics, 649 , pp. A8, 2021. @article{antoja2021gaia, title = {Gaia Early Data Release 3-The Galactic anticentre}, author = {Gaia Collaboration and M. García-Torres}, url = {https://www.aanda.org/articles/aa/abs/2021/05/aa39714-20/aa39714-20.html}, doi = {10.1051/0004-6361/202039714}, year = {2021}, date = {2021-01-01}, journal = {Astronomy & Astrophysics}, volume = {649}, pages = {A8}, publisher = {EDP sciences}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
A. GA. Brown and A. Vallenari and T. Prusti and JHJ. De Bruijne and C. Babusiaux and M. Biermann and OL. Creevey and DW. Evans and L. Eyer and A. Hutton and M. García-Torres and others Gaia Early Data Release 3-Summary of the contents and survey properties Journal Article Astronomy & Astrophysics, 649 , pp. A1, 2021. @article{brown2021gaia, title = {Gaia Early Data Release 3-Summary of the contents and survey properties}, author = {A. GA. Brown and A. Vallenari and T. Prusti and JHJ. De Bruijne and C. Babusiaux and M. Biermann and OL. Creevey and DW. Evans and L. Eyer and A. Hutton and M. García-Torres and others}, url = {https://www.aanda.org/articles/aa/abs/2021/05/aa39657-20/aa39657-20.html}, doi = {10.1051/0004-6361/202039657}, year = {2021}, date = {2021-01-01}, journal = {Astronomy & Astrophysics}, volume = {649}, pages = {A1}, publisher = {EDP sciences}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Gaia Collaboration and M. García-Torres Gaia Early Data Release 3-Structure and properties of the Magellanic Clouds Journal Article Astronomy & Astrophysics, 649 , pp. A7, 2021. @article{luri2021gaia, title = {Gaia Early Data Release 3-Structure and properties of the Magellanic Clouds}, author = {Gaia Collaboration and M. García-Torres}, url = {https://www.aanda.org/articles/aa/abs/2021/05/aa39588-20/aa39588-20.html}, doi = {10.1051/0004-6361/202039588}, year = {2021}, date = {2021-01-01}, journal = {Astronomy & Astrophysics}, volume = {649}, pages = {A7}, publisher = {EDP sciences}, keywords = {}, pubstate = {published}, tppubtype = {article} } |