Publications



2017

  • Rueda, D. et al.  Effective training of convolutional neural networks with small, specialized datasets, Journal of Intelligent & Fuzzy Systems, vol 32, no.2, pp 1333-1342. [+]
  • Sánchez, S. et al. A comprehensive assessment of ionospheric gradients observed in Ecuador during 2013 and 2014 for Ground Based Augmentation Systems. Advances in  Space Research. Accepted for publication
  • Camacho, F. et al. Assessing the behavior of machine learning methods to predict the activity of antimicrobial peptides, Revista Facultad Ingeniería, Universidad de Tunja, Vol 26, No 44, pp. 167-180 [+]
2016
  • Ramos-Pollan, Raúl, et.al. Validating the usage of surface detector GPS position differentials to characterize ionospheric behaviors. GAP Note 2016-070, Pierre Auger Observatory [+]
  • The Pierre Auger Collaboration. Search for photons with energies above 1018 eV using the hybrid detector of the Pierre Auger Observatory. arXiv preprint arXiv:1612.01517 (2016) [+]
  • The Pierre Auger Collaboration. Evidence for a mixed mass composition at the `ankle' in the cosmic-ray spectrum. Phys.Lett. B762 (2016) 288-295, arXiv: 1609.08567 [+]
  • The Pierre Auger Collaboration. Search for Ultra-relativistic Magnetic Monopoles with the Pierre Auger ObservatoryPhys. Rev. D 94, 082002 (2016), arXiv preprint arXiv:1609.04451 (2016) [+]
  • The Pierre Auger Collaboration. Ultrahigh-energy neutrino follow-up of Gravitational Wave events GW150914 and GW151226 with the Pierre Auger Observatory, arXiv preprint arXiv:1608.07378  (2016) [+
  • The Pierre Auger Collaboration. Measurement of the Muon Production Depths at the Pierre Auger Observatory, The European Physical Journal Plus, Sep 2016, 131:301. arXiv preprint arXiv:1609.02498 (2016) [+]
  • Garcia-Casulla, D. et al.  On the representativeness of convolutional neural network layers, 19th Catalan Conference on Artificial Intelligence, Barcelona, 19-21 October, 2016. [+, to appear]
  • Arevalo, J, et al. Representation learning for mammography mass lesion classification with convolutional neural networks, Computer Methods and Programs in Biomedicine, Vol 127, April 2016, Pags 248-257 [+]
  • Ferrara, N, et al. Enhancing Multi-Dimensional Signal Quality in GNSS Receivers, Inside GNSS, March-April 2016, 54-62 [+]
  • Sánchez, S. et al. Large Scale Data Analytics Systems for GNSS Data, MULTIPOS Workshop, 4-8 April, Nottingham, UK [+]
2015
  • Camacho, F, et al. Feature Learning using Stacked Autoencoders to Predict the Activity of Antimicrobial Peptides, in 13th Conference on Computational Methods for Systems Biology, 16-18 September, Nantes, France [+]
  • Ramos-Pollán, et al. Machine learning methods for breast cancer CADx over digital and film mammograms, International Journal of Image Mining, Vol 1, Nos 2-3, 2015, Inderscience [+]
  • Rueda, D., et al. Supervised Greedy Layer-Wise Training for Deep Convolutional Networks with Small Datasets7th International Conference on Computational Collective Intelligence Technologies and Applications,  21-23 September, Madrid, Spain [+]
  • Arévalo, J. et al., Convolutional neural networks for mammography mass lesion classification, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 25-29 August, Milan, Italy [+]
  • Sánchez, S. et al.,  Large Scale Machine Learning Methods for Ionospheric Error Mitigation in Global Navigation Satellite Systems, MULTIPOS Summer Workshop. Chalmers University of Technology. Gothenburg, Sweden. June 24 - 26th 2015
  • Chivita, M.A. et al., Accelerating Common Machine Learning Algorithms Through GPGPU Symbolic Computing, 10 Congreso Colombiano de Computación, 20 Sept, Bogotá Colombia. [+]
  • Arrieta, J. et al., Prediction of Mineral Scales in Oil & Gas Production Systems Using a Machine Learning Approach, 2015 Anual AIChE Meeting (American Institute of Chemical Engineers), Nov 8-13, Salt Lake City, USA. [+]
  • Arrieta, J. et al., Prediction of Mineral Scales in Oil & Gas Production Systems, 2015 XVI Congreso Colombiano del Petróleo y Gas,  Aug 26-28, Bogotá, Colombia. [+]
  • Sierra, S. et al., Classification of low-level atmospheric structures based on a pyramid representation and a machine learning method, 14th Iberoamerican Congress on Pattern Recognition, 12 November, Montevideo Uruguay. [+]
  • Camacho, F. et. al., Classification of Antimicrobial Peptides with Imbalanced Datasets, SIPAIM 2015, 11th International Symposium on Medical Information Processing and Analysis, Cuenca, Ecuador [+]
  • Franco, JM, et al., Proyecto IMED: Investigación en métodos de diagnóstico asistido del cáncer de mama, 2o Congreso Español de la Mama, 22-24 October, Madrid, Spain. [+]
2014
  • Sánchez, S. et al.,  Large Scale Data Analytics Systems for GNSS DataMULTIPOS Workshop. UAB. Barcelona, Spain, November 19 – 20th , 2014.
  • Franco-Valiente, JM. et al. Multidisciplinary Collaboration for the Development of Innovative Solutions in Health Care: The Case of the IMED Project, in Challenges and Opportunities in Health Care Management, Springer, 2015, pp 363-370, ISBN 978-3-319-12177-2 [link]
  • Ramos R. et al. Building Strategies to Discover Mammography Classifiers for Breast Cancer Diagnosis, IBERGRID 8th Iberian Grid Infrastructure Conference, Aveiro Portugal, September 2014
  • Arevalo, J. et al. Distributed cache strategies for machine learning classification tasks over cluster computing resources, CARLA HPC Latin American High Performance Computing Conference, Valparaíso, Chile, October 2014 [link]
  • Sánchez S. et al. A Multicore Workflow for Inducing Data Driven GNSS Positioning Models, CARLA HPC Latin American High Performance Computing Conference, Valparaíso, Chile, October 2014 
2013
  • Ramos R. et al. High throughput location proteomics in confocal images from the Human Protein Atlas using a Bag-of-Features representation, 2° Congreso Colombiano de Bioinformática y Biología Computacional, Manizales, Colombia, Septiembre 2013
  • Ramos R., González Fabio,  Large Scale Machine Learning with BIGS, 8° Congreso Colombiano de Computación, Armenia, Colombia, Agosto 2013
  • Ramos R., et al.  Learning a bag of features representation of the Human Protein Atlas on the cloud, Conferencia LatinoAmericana de Computación de Alto Rendimiento, San José, Costa Rica, Agosto 2013
  • Pinzón, E. et al. Análisis Algorítmico de un Modelo In Silico de Barajado de ADN para su Implementación Bajo Arquitectura GPU, Conferencia LatinoAmericana de Computación de Alto Rendimiento, San José, Costa Rica, Agosto 2013
  • Daniel Cardoso Moura, Miguel Angel Guevara López, Pedro Cunha, Naimy González de Posada, Raúl Ramos Pollan, Isabel Ramos, Joana Pinheiro Loureiro, Inês C. Moreira, Bruno M. Ferreira de Araújo, Teresa Cardoso Fernandes., Benchmarking Datasets for Breast Cancer Computer-Aided Diagnosis (CADx) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, Lecture Notes in Computer Science Volume 8258, 2013, pp 326-333. Print ISBN: 978-3-642-41821-1, Online ISBN: 978-3-642-41822-8. (http://dx.doi.org/10.1007/978-3-642-41822-8_41)
2012
  • R Ramos-Pollán, F González, JC Caicedo, A Cruz-Roa, JE Camargo, JA Vanegas, SA Pérez, JD Bermeo, JS Otálora, PK Rozo, JE Arévalo BIGS: A Framework for Large-Scale Image Processing and Analysis Over Distributed and Heterogeneous Computing Resources (presentation) In IEEE International Conference on eScience, Chicago 8-12, USA. 2012.
  • Raúl Ramos-Pollán, Angel Cruz-Roa, Fabio González A Framework for High Performance Image Analysis Pipelines over Cloud Resources (presentation) The Latin American Conference on High Performance Computing (CLCAR) 2012.
  • Raúl Ramos-Pollán, Angel Cruz-Roa, Fabio González A Framework for High Performance Image Analysis Pipelines, 7th Colombian Computing Congress, 7CCC 2012.
  • Jorge A. Vanegas, Juan C. Caicedo, Jorge E. Camargo, Raúl Ramos-Pollán, Fabio A. González Bioingenium at ImageCLEF 2012: Text and Visual Indexing for Medical Images CLEF (Online Working Notes/Labs/Workshop) 2012
  • Damià Segrelles, Ignacio Blanquer, José Salavert, Vicente Hernández, José Miguel Franco, Guillermo Díaz, Raúl Ramos, Rosana Medina, Luis Martí, Miguel Angel Guevara Lopez, Naimy González, Joana Loureiro, Isabel Ramos "Exchanging data for breast cancer diagnosis on heterogeneous GRID platforms." Computing and Informatics, Vol. 31, 2012, 1001–1013, V 2012-Feb-13
  • Guillermo Díaz-Herrero, José Miguel Franco-Valiente, César Suárez-Ortega, Manuel Rubio-del-Solar, Carmen Martín-Moreno, Miguel Ángel Guevara-López, Naimy González-de-Posada, Raúl Ramos-Pollán, Isabel Ramos, Joanna Loureiro, Teresa Fernández, Bruno Araújo, Inés C. Moreira. "The IMED project first results. Exploiting eInfrastructures for research in breast cancer CAD methods". Proceedings of the Joint GISELA-CHAIN conference, Mexico City / Mexico, 27-29 June 2012. COMETA 2012.
  • José M. Franco Valiente, César Suárez Ortega, Manuel Rubio del Solar, Guillermo Díaz Herrero, Raúl Ramos Pollán, Miguel A. Guevara López, Naimy González de Posada, Daniel Moura, Isabel Ramos, Joana Loureiro."MIWAD: A software suit for building CAD methods".ICEM15: 15th International Conference on Experimental Mechanics, FEUP-EURASEM-APAET, Porto/Portugal, 22-27 July 2012. ISBN: 978-972-8826-26-04.
  • Daniel C. Moura, Miguel A. Guevara López, Raul Ramos Pollan, Isabel M.A. Pereira Ramos, Joana Pinheiro Loureiro, Teresa Cardoso Fernandes, Bruno M. Ferreira de Araújo. "Classifier performance vs dataset size: a comparative study for breast lesions classification". ICEM15: 15th International Conference on Experimental Mechanics, FEUP-EURASEM-APAET, Porto/Portugal, 22-27July 2012. ISBN: 978-972-8826-26-0
  • Miguel A. Guevara López, Naimy González de Posada, Daniel C. Moura, Raúl Ramos Pollán, José M. Franco Valiente, César Suárez Ortega, Manuel R. del Solar, Guillermo Díaz Herrero, Isabel M.A. Pereira Ramos, Joana Pinheiro Loureiro, Teresa Cardoso Fernandes, Bruno M. Ferreira de Araújo. "BCDR: A a breast cancer digital repository". ICEM15: 15th International Conference on Experimental Mechanics, FEUP-EURASEM-APAET, Porto/Portugal, 22-27 July 2012. ISBN: 978-972-8826-26-02.

2011

  • Raúl Ramos-Pollán, Miguel Angel Guevara-López, Cesar Suárez-Ortega, Guillermo Díaz-Herrero, Jose Miguel Franco-Valiente, Manuel Rubio-del-Solar, Naimy González-de-Posada, Mario Augusto Pires Vaz, Joana Loureiro and Isabel Ramos. "Discovering Mammography-based Machine Learning Classifiers for Breast Cancer Diagnosis". Journal of Medical Systems: 1-11. 2011 (Online first). (http://dx.doi.org/10.1007/s10916-011-9693-2)
  • Raúl Ramos-Pollán, Miguel Angel Guevara López, Eugénio Oliveira. "A Software Framework for Building Biomedical Machine Learning Classifiers through Grid Computing Resources". Journal of Medical Systems: 1-13. 2011 (Online first). (http://dx.doi.org/10.1007/s10916-011-9692-3)
  • Raul, Ramos Pollan, Miguel Angel Guevara López, Naimy Gonzales de Posada. "Optimizing the Area Under the ROC Curve in Multilayer Perceptron-based Classifiers." FUTURE COMPUTING 2011: The Third International Conference on Future Computational Technologies and Applications: 75-81. September 25-30, 2011. Rome, Italy. ISBN: 978-1-61208-154-0 (http://www.thinkmind.org/download.php?articleid=future_computing_2011_3_40_30103)

2010

  • Raúl Ramos Pollán, Miguel Angel Guevara López, Eugénio Oliveira. "Introducing ROC Curves as Error Measure Functions: A New Approach to Train ANN-Based Biomedical Data Classifiers", Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Lecture Notes in Computer Science. 2010, Volume 6419/2010, p517-524. (http://dx.doi.org/10.1007/978-3-642-16687-7_68)
  • Raul Ramos Pollan, Jose M. Franco, Jorge Sevilla, Miguel Angel Guevara Lopez, Naimy Gonzalez de Posada, Joanna Loureiro, Isabel Ramos. "Grid infrastructures for developing mammography CAD systems." Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. 2010, Conference Volume: 2010 Pages: 3467-3470. (http://dx.doi.org/10.1109/IEMBS.2010.5627832)
  • Raul Ramos Pollán, M. Rubio del Solar, J.M. Franco Valiente, J. Engelmo Moriche, Naimy Gonzalez de Posada, J.A. Valdes Torres, Mario A. Pires Vaz, Miguel Angel Guevara López. "Exploiting eInfrastructures for medical image storage and analysis: a Grid application for mammography CAD." Seventh IASTED International Conference on Biomedical Engineering. 2010. February 17-19, Innsbruck, Austria. Biomedical Engineering (Vol. 1 and Vol. 2) ISBN: I: 978-0-88986-825-0/II: 978-0-88986-827-4.
  • Raul Ramos Pollan, Jose Miguel Franco, Jorge Sevilla, Naimy Gonzalez de Posada, Noel Perez Perez, Mario A. Pires Vaz, Joanna Loureiro, Isabel Ramos, Miguel Angel Guevara Lopez. "Grid Computing for Breast Cancer CAD. A Pilot Experience in a Medical Environment." Ibergrid: 4th Iberian Grid Infrastructure Conference Proceedings, 2010: p. 307-318. Netbiblo, 2010. ISBN: 978-84-9745-549-7.

2009

  • Raúl Ramos, Álvaro Barreiro. Enabling the Grid for experiments in distributed information retrieval, Proceedings of the first EELA-2 Conference, CIEMAT pubs, pp. 21-30, Bogotá, 
  • Risk, M. et al., CardioGrid: a framework for the analysis of cardiological signals in Grid computing Latin American Network Operations & Management Symposium pp: 112-115 Punta del Este, Uruguay, 2009
  • Ramos R., et al., Grid-based architecture to host multiple repositories: A mammography image analysis use case, Ibergrid: 3rd Iberian Grid Infrastructure Conference Proceedings pp 327-338 Valencia, Spain, 2009
  • Barbera R. et al. gLibrary/DRI: A Grid based platform to host multiple repositories for digital content. Handbook of Research on Computational Grid Technologies for Life Sciences Biomedicine and Healthcare, M. Cannataro, IGI Global Vol 2: 664-686

Earlier

  • Colombia, February 2009.A. Barreiro, D. Losada, R. Ramos. TWebS: An application of Terminological Logics in Web Searching, Actas IV Congreso ISKO-España EOCONSID'99, pp. 253-259, Granada, Abril 22-24, 1999.
  • D. Losada, R. Ramos, A. Barreiro. A Terminological Approach to Resource Discovery Mechanisms, Proceedings of the 6th Iberoamerican Conference on Artifical Intelligence IBERAMIA-98 (ODT), pp. 3-16, Lisboa, October 5-9, 1998.
  • A. Barreiro, R. Ramos, P. Cabalar. Un Modelo Terminológico para el problema de Recuperación de Datos, Actas de la VII Conferencia de la Asociación Española para la Inteligencia Artificial CAEPIA'97, pp. 745-754, Málaga, Noviembre 1997.
  • Hernandez-Mendo, A. Ramos R, Introducción a la informática aplicada a la psicología del deporte: herramientas informáticas de uso en las ciencias del deporte, Editorial Ra-Ma (1995) ISBN 84-7897-236-6
  • Hernandez-Mendo, A. Ramos R, Tarea informática para evaluación y entrenamiento de la atención: Aplicación en el entrenamiento deportivo, Anales de Psicología, 1995, 11(2), 183-191
  • Hernandez-Mendo, A. Ramos R, Aplicación inforática para evaluación y entrenamiento de la atención en psicología del deporte, Psicothema, Vol 7, Issue 3, 527-529, 1995
  • Hernandez-Mendo, A. Ramos R, Informatización del Profile of Mood States de Menair, Lorr y Dropleman (1971). Aplicaciones, Revista de psicología del deporte, Vol 7, pg 31, 1995