Journals (19)

  • E. López-Rubio, R.M. Luque-Baena, E.J. Palomo and E. Domínguez, Dynamic Tree Topology Learning by Self-Organization, Neural Computing and Applications, vol. 28, no. 5, pp. 911-924, 2017. (DOI: 10.1007/s00521-016-2250-7).
  • E. López-Rubio, J.F. López-Rubio, Miguel A. Molina-Cabello, R.M. Luque-Baena, E.J. Palomo and E. Domínguez, The Effect of Noise on Foreground Detection Algorithms, Artificial Intelligence Review, pp. 1-32, 2016. (DOI: 10.1007/s10462-016-9525-3).
  • J.G. Monroy, E.J. Palomo, E. López-Rubio and J. González-Jiménez, Continuous Chemical Classification in Uncontrolled Environments with Sliding Windows, Chemometrics and Intelligent Laboratory Systems, vol. 158, pp. 117-129, 2016.
  • F. Ortega-Zamorano, Miguel A. Molina-Cabello, E. López-Rubio and E.J. Palomo, Smart motion detection sensor based on video processing using self-organizing maps, Expert Systems with Applications, vol. 64, pp. 476-489, 2016. (DOI: 10.1016/j.eswa.2016.08.010).
  • E.J. Palomo and E. López-Rubio, The Growing Hierarchical Neural Gas Self-Organizing Neural Network, IEEE Transactions on Neural Networks and Learning Systems, no. 99, pp. 1-10, 2016. (DOI: 10.1109/TNNLS.2016.2570124).
  • E.J. Palomo and E. López-Rubio, Learning Topologies with the Growing Neural Forest, International Journal of Neural Systems, vol. 26, no. 4, pp. 1650019 (21 pages), 2016. (DOI: 10.1142/S0129065716500192).
  • F.J. López-Rubio, E. Domínguez, E.J. Palomo, E. López-Rubio and R.M. Luque-Baena, Selecting the Color Space for Self-Organizing Map Based Foreground Detection in Video, Neural Processing Letters, vol. 43, no. 2, pp. 345-361, 2016. (DOI: 10.1007/s11063-015-9431-8).
  • R.M. Luque-Baena, E. López-Rubio, E. Domínguez, E.J. Palomo, J.M. Jerez, A Self-Organizing Map to Improve Vehicle Detection in Flow Monitoring Systems, Soft Computing, vol. 19, no. 9, pp. 2499-2509, 2015. (DOI: 10.1007/s00500-014-1575-3).
  • E. López-Rubio, E.J. Palomo and E. Domínguez, Robust Self-Organization with M-Estimators, Neurocomputing, vol. 151, Part 1, pp. 408-423, 2015.
  • E.J. Palomo, E. López-Rubio and E. Domínguez, Bregman Divergences for Growing Hierarchical Self-Organizing Networks, International Journal of Neural Systems, vol. 24, no. 4, pp. 1-18, 2014.
  • E.J. Palomo and E. Domínguez, Hierarchical Color Quantization based on Self-Organization, Journal of Mathematical Imaging and Vision, vol. 49, no. 1, pp. 1-19, 2014.
  • E.J. Palomo, D. Elizondo and G. Brunschwig, Land Usage Classification: A Hierarchical Neural Network Approach, Journal of Agricultural Science, Cambridge University Press, vol. 152, no. 5, pp. 817-828, 2014.
  • R.M. Luque, D. Elizondo, E. López-Rubio, E.J. Palomo and T. Watson, Assessment of Geometric Features for Individual Identification and Verification in Biometric Hand Systems, Expert Systems with Applications, vol. 40, pp. 3580-3594, 2013.
  • R.M. Luque, J.M. Ortiz-de-Lazcano-Lobato, E. López-Rubio, E. Domínguez and E.J. Palomo, A Competitive Neural Network for Multiple Object Tracking in Video Sequence Analysis, Neural Processing Letters, vol. 37, pp. 47-67, 2013.
  • E.J. Palomo, E. Domínguez, R.M. Luque and J. Muñoz, Image Compression and Video Segmentation using Hierarchical Self-Organization, Neural Processing Letters, vol. 37, pp. 69-87, 2013.
  • E.J. Palomo, J. North, D. Elizondo, R.M. Luque and T. Watson, Application of growing hierarchical SOM for visualisation of network forensics traffic data, Neural Networks, vol. 32, pp. 275-284, 2012.
  • E. López-Rubio and, E.J. Palomo, Growing hierarchical probabilistic self-organizing graphs, IEEE Trans. on Neural Networks, vol. 22, no 7, pp. 997-1008, 2011.
  • E. López-Rubio, E.J. Palomo, J.M. Ortiz-de-Lazcano-Lobato and M.C. Vargas-González, Dynamic topology learning with the probabilistic self-organizing graph, Neurocomputing, vol. 74, pp. 2633- 2648, 2011.
  • E.J. Palomo, E. Dominguez, R.M. Luque and J. Muñoz, An Intrusion Detection System based on Hierarchical Self-Organization, Journal of Information Assurance and Security vol. 4, no. 3, pp. 209-216, 2009.
  • Chapter Books (25)

  • E.J. Palomo, J. Benito-Picazo, E. López-Rubio and E. Domínguez, “Unsupervised Color Quantization with the Growing Neural Forest”, Advances in Computational Intelligence, LNCS Vol. 10306, pp. 306-316, 2017.
  • J. Benito-Picazo, E. López-Rubio, J.M. Ortiz-de-Lazcano-Lobato, E. Domínguez and E.J. Palomo, “Motion Detection by Microcontroller for Panning Cameras”, Advances in Computational Intelligence, LNCS Vol. 10338, pp. 279-288, 2017.
  • M.A. Molina-Cabello, E. López-Rubio, R.M. Luque, E. Domínguez and E.J. Palomo, “Pixel Features for Self-organizing Map Based Detection of Foreground Objects in Dynamic Environments”, Advances in Intelligent Systems and Computing, Vol. 527, pp. 247-255, 2016.
  • M.A. Molina-Cabello, E. López-Rubio, R.M. Luque, E.J. Palomo and E. Domínguez, “Frame Size Reduction for Foreground Detection in Video Sequences”, Advances in Artificial Intelligence, LNAI Vol. 9868, pp. 3-12, 2016.
  • E. López-Rubio, E.J. Palomo, R.M. Luque and E. Domínguez, “Visualization of Complex Datasets with the Self-Organizing Spanning Tree”, Advances in Computational Intelligence, LNCS Vol. 9094, pp. 209-217, 2015.
  • E.J. Palomo, E. López-Rubio, E. Domínguez and R.M. Luque, “Hierarchical Self-Organizing Networks for Multispectral Data Visualization”, Advances in Computational Intelligence, LNCS Vol. 7903, pp. 449-457, 2013.
  • R.M. Luque, E. López-Rubio, E. Domínguez, E.J. Palomo and J.M. Jerez, “A Self-Organizing Map for Traffic Flow Monitoring”, Advances in Computational Intelligence, LNCS Vol. 7903, pp. 458-466, 2013.
  • R. M. Luque, D. Elizondo, E. López‐Rubio, and E.J. Palomo, “Feature Selection of Hand Biometrical Traits based on Computational Intelligence Techniques”, Computational Intelligence for Privacy and Security, Springer, Vol. 394, pp. 159-180, 2012.
  • E.J. Palomo, D. Elizondo, E. Domínguez, R.M. Luque, and Tim Watson, “SOM‐based Techniques towards Hierarchical Visualisation of Network Forensics Traffic Data”, Computational Intelligence for Privacy and Security, Springer, Vol. 394, pp. 75-95, 2012.
  • R.M. Luque, Ortiz‐de‐Lazcano‐Lobato, J.M, López‐Rubio, E. E. Domínguez, E.J. Palomo, “Feature Weighting In Competitive Learning For Multiple Object Tracking In Video Sequences”, Advances in Computational Intelligence, LNCS Vol 6692, pp. 17‐24, 2011.
  • R.M. Luque, J.M. Ortiz-de-Lazcano-Lobato, E. Lopez-Rubio and E.J. Palomo, "Object Tracking in Video Sequences by Unsupervised Learning", Computer Analysis of Images and Patterns, LNCS, vol. 5702, pp. 1070-1077, 2009.
  • R.M. Luque, E. Domínguez, E.J. Palomo and J. Muñoz, "A Neural Network Approach for Video Object Segmentation in Traffic Surveillance", Image Analysis and Recognition, LNCS, vol. 5112, pp. 151-158, 2008.
  • R.M. Luque, E. Dominguez, E.J. Palomo and J. Muñoz, "A Neural Recognition System for Manufactured Objects", Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living, LNCS Volume 5518, pp. 1274-1281, 2009.
  • R.M. Luque, E. Dominguez, D. Lopez-Rodriguez and E.J. Palomo, "A Neighborhood-Based Competitive Network for Video Segmentation and Object Detection", Artificial Neural Networks - ICANN 2008, LNCS, Volume 5163, pp. 877-886, 2008.
  • R.M. Luque, D. Lopez-Rodriguez, E. Domínguez and E.J. Palomo, "A Dipolar Competitive Neural Network for Video Segmentation", Advances in Artificial Intelligence – IBERAMIA, LNCS, Volume 5290, pp. 103-112, 2008.
  • J.M. Ortiz-de-Lazcano-Lobato, R.M. Luque, D. Lopez-Rodriguez and E.J. Palomo, "Growing Competitive Network for Tracking Objects in Video Sequences", Adaptive and Natural Computing Algorithms, LNCS, vol. 5495, pp. 109-118, 2009.
  • E.J. Palomo, E. Domínguez, R.M. Luque, Muñoz J. “Lossy Image Compression Using a GHSOM”, Advances in Computational Intelligence, LNCS Vol 6692, pp. 1‐8, 2011.
  • E.J. Palomo, J.M. Ortiz-de-Lazcano-Lobato, D. Lopez-Rodriguez and R.M. Luque, "Hierarchical Graphs for Data Clustering", Bio-Inspired Systems: Computational and Ambient Intelligence, LNCS, Volume 5517, 2009, pp. 432-439, 2009.
  • E.J. Palomo, E. Dominguez, R.M. Luque and J. Muñoz, "A Competitive Neural Network for Intrusion Detection Systems", Modelling, Computation and Optimization in Information Systems and Management Sciences (MCO) vol. 14, pp. 530-537, 2008.
  • E.J. Palomo, E. Dominguez, R.M. Luque, J. Muñoz, “Image Hierarchical Segmentation Based on a GHSOM”, International Conference on Neural Information Processing (ICONIP), Bangkok, Tailandia. LNCS Vol 5863; pp. 743-750, 2009.
  • E.J. Palomo, E. Dominguez, R.M. Luque and J. Muñoz, "Spam Detection Based on a Hierarchical Self-Organizing Map", Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, LNCS, vol. 5755, pp. 30-37, 2009.
  • E.J. Palomo, E. Dominguez, R.M. Luque and J. Muñoz, "An Intrusion Detection System based on Hierarchical Self-Organization", International Workshop on Computational Intelligence in Security for Information Systems (CISIS) vol. 53, pp. 139-146, 2009.
  • E.J. Palomo, E. Dominguez, R.M. Luque and J. Muñoz, "A New GHSOM Model Applied to Network Security", Artificial Neural Networks - ICANN 2008, LNCS, vol. 5163, pp. 680-689, 2008.
  • E.J. Palomo, E. Dominguez, R.M. Luque and J. Muñoz, "Network Security Using Growing Hierarchical Self-Organizing Maps", Adaptive and Natural Computing Algorithms, LNCS, vol. 5495, pp. 130-139, 2009.
  • 20. E.J. Palomo, E. Domínguez, R.M. Luque and J. Muñoz, "A Self-Organized Multiagent System for Intrusion Detection", Agents and Data Mining Interaction, LNCS, vol. 5680, pp. 84-94, 2009.
  • Conference Proceedings (15)

  • E.J. Palomo and E. López-Rubio, "A Color Quantization Approach based on the Growing Neural Forest", 2016 IEEE Latin American Conference on Computational Intelligence (2016 IEEE LA-CCI), pp. 1-2, 2016.
  • Enrique Machuca Sánchez, Ana Belén Ruiz-Mora, Isabel Ruiz-Mora, Guianluigui Moscato, Gema Ruiz-Párraga, Mónica Carreira Soler, Sergio Postigo Pozo, Efraín Ochoa Martínez, Esteban Palomo Ferrer y Alberto García Moreno, "Los Planes Postdoctorales de Investigación en España: Análisis de Financiación Local para Jóvenes Doctores", XII Foro Internacional sobre la Evaluación de la Calidad de la Investigación y de la Educación Superior (FECIES), 2015.
  • R.M. Luque-Baena, E.J. Palomo, E. López-Rubio, E. Domínguez and F.J. López-Rubio, "Seleccion del espacio de color para video-segmentacion mediante redes neuronales autorganizadas", X Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2015), pp. 723-731, 2015.
  • F. J. Lopez-Rubio, E. Lopez-Rubio, R. M. Luque-Baena, E. Dominguez and E.J. Palomo, “Color Space Selection for Self-Organizing Map Based Foreground Detection in Video Sequences,”, International Joint Conference on Neural Networks (IJCNN), pp. 3347-3354, 2014.
  • Palomo, E.J. and Domínguez, E.; "Image compression based on growing hierarchical self-organizing maps", International Joint Conference on Neural Networks (IJCNN), pp.1624-1628, 2011.
  • Luque, R.M.; Elizondo, D.; Lopez-Rubio, E.; Palomo, E.J.; "GA-based feature selection approach in biometric hand systems", International Joint Conference on Neural Networks (IJCNN), pp.246-253, 2011.
  • Palomo, E.J.; North, J.; Elizondo, D.; Luque, R.M.; Watson, T.; "Visualisation of network forensics traffic data with a self-organising map for qualitative features", International Joint Conference on Neural Networks (IJCNN), pp.1740-1747, 2011.
  • E.J. Palomo, J.M. Ortiz-de-Lazcano-Lobato, E. Domínguez and R.M. Luque, “An anomaly detection system using a GHSOM-1”, Intenational Joint Conference on Neural Networks (IJCNN), pp. 691-697, 2010.
  • R.M. Luque, E. Domínguez, E.J. Palomo and J. Muñoz, 2010. “An ART-type network approach for video object detection”, 18th European Symposium on Artificial Neural Networks, ESANN, pp. 423-428, 2010.
  • E.J. Palomo, E. Domínguez, R.M. Luque, Muñoz J. “Web Document Clustering based on a Hierarchical Self-Organizing Model”, 18th European Symposium on Artificial Neural Networks, ESANN, pp. 499-504, 2010.
  • R.M. Luque, F.L. Valverde, E. Dominguez, E.J. Palomo and J. Muñoz "Detecting Critical Situation in Public Transport", International Workshop on Pattern Recognition in Information Systems (PRIS) pp. 57-66, 2008.
  • R.M. Luque, D. Lopez-Rodriguez, E. Mérida-Casermeiro and E.J. Palomo "Video Object Segmentation with Multivalued Neural Networks", Eighth International Conference on Hybrid Intelligent Systems, HIS '08 pp. 613-618, 2008.
  • J.M. Ortiz-de-Lazcano-Lobato, R.M. Luque, D. Lopez-Rodriguez and E.J. Palomo "A Novel Competitive Network Approach to Object Tracking", Proceedings of the UK Workshop on Computational Intelligence pp. 111-116, 2008.
  • E. Dominguez, C. Spinola, R.M. Luque, E.J. Palomo and J. Muñoz "Object recognition and inspection in difficult industrial environments", IEEE International Conference on Industrial Technology (ICIT) pp. 989-993, 2006.
  • R.M. Luque, E. Dominguez, J. Muñoz and E.J. Palomo "Un modelo neuronal de agrupamiento basado en regiones para segmentación de vídeo", XIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA) pp. 243-252, 2009.


  • CONTACT

    Phone: +34-952-132865
    Fax: +34-952-131397
    Email: ejpalomo@lcc.uma.es
    University of Malaga
    Department of Computer Science
    Bulevar Louis Pasteur, 35
    Campus de Teatinos
    29071 Málaga (Spain)