Book Chapters

Uncategorised
  • 2017

  1. Yazmin Maldonado, Leonardo Trujillo, Oliver Schütze, Annalisa Riccardi and Massimiliano Vasile (eds.). Augmenting the LSA Technique to Evaluate Ubicomp Environments. pages 45–64, Springer International Publishing, 2018. URL, DOI BibTeX

    @inbook{López-López2018,
    	author = "L{\'o}pez-L{\'o}pez, V{\'i}ctor R. and Escobedo, Lizbeth and Trujillo, Leonardo and D{\'i}az-Ram{\'i}rez, Victor H.",
    	editor = {Maldonado, Yazmin and Trujillo, Leonardo and Sch{\"u}tze, Oliver and Riccardi, Annalisa and Vasile, Massimiliano},
    	title = "Augmenting the LSA Technique to Evaluate Ubicomp Environments",
    	booktitle = "NEO 2016: Results of the Numerical and Evolutionary Optimization Workshop NEO 2016 and the NEO Cities 2016 Workshop held on September 20-24, 2016 in Tlalnepantla, Mexico",
    	year = 2018,
    	publisher = "Springer International Publishing",
    	address = "Cham",
    	pages = "45--64",
    	abstract = "LSA is a useful user study technique, it is well known and used to design and evaluate Ubicomp systems. The LSA technique enables researchers to collect data, analyze it, and obtain quantitative and statistical results. A key advantage of using LSA is that it is performed in the user's environment. However, analyzing large amounts of data is considered by some researchers to be a burden and time consuming, prone to human error. In this paper we explore the use of computer vision techniques to automate the data analysis and coding when using LSA. We present a system that uses facial tracking, object recognition and composite correlation filters to detect the Attention behavior of a subject. Our results indicate that computer vision can automate the LSA technique and reduce the burden of coding data manually by the researcher. The findings from this study reveal emergent practices of the use of our proposed system to automate the evaluation of Ubicomp environments.",
    	isbn = "978-3-319-64063-1",
    	doi = "10.1007/978-3-319-64063-1_2",
    	url = "https://doi.org/10.1007/978-3-319-64063-1_2"
    }
    

  1. Yazmin Maldonado, Leonardo Trujillo, Oliver Schütze, Annalisa Riccardi and Massimiliano Vasile (eds.). Coefficients Estimation of MPM Through LSE, ORLS and SLS for RF-PA Modeling and DPD. pages 239–262, Springer International Publishing, 2018. URL, DOI BibTeX

    @inbook{Allende-Chávez2018,
    	author = "Allende-Ch{\'a}vez, E. and Ju{\'a}rez-C{\'a}zares, S. A. and C{\'a}rdenas-Valdez, J. R. and Sandoval-Ibarra, Y. and Galaviz-Aguilar, J. A. and Trujillo, Leonardo and Nu{\~{n}}ez-P{\'e}rez, J. C.",
    	editor = {Maldonado, Yazmin and Trujillo, Leonardo and Sch{\"u}tze, Oliver and Riccardi, Annalisa and Vasile, Massimiliano},
    	title = "Coefficients Estimation of MPM Through LSE, ORLS and SLS for RF-PA Modeling and DPD",
    	booktitle = "NEO 2016: Results of the Numerical and Evolutionary Optimization Workshop NEO 2016 and the NEO Cities 2016 Workshop held on September 20-24, 2016 in Tlalnepantla, Mexico",
    	year = 2018,
    	publisher = "Springer International Publishing",
    	address = "Cham",
    	pages = "239--262",
    	abstract = "This paper shows and compares three techniques based on the least squared error for the estimation of the constant coefficients of the memory polynomial model used for the modeling of power amplifiers for radio-frequency and for the construction of a pre-distorter. The first technique is the conventional linear regression using the least square error method. The second technique is the order recursive least squares which can be used for exploring the most adequate nonlinearity order and memory depth of the memory polynomial model by comparing subsequent errors. The sequential least squares method is useful when the measurements of a system are coming sample by sample and the parameters of the model should be adjusted on-line. The mathematical background of the three methods is shown; as an experimental validation of this methods they were simulated in Matlab for the measurements of a 10W NPX Power Amplifier based on the transistor CLF1G0060 GaN HEMTs. An NMSE of {\$}{\$}-19.83{\$}{\$}  dB was reached for the best model. Also in order to linearize the power amplifier a pre-distorter was constructed through indirect learning architecture achieving a 50 dBm spurious free dynamic range and a 25 dBc reduction in the adjacent power ratio.",
    	isbn = "978-3-319-64063-1",
    	doi = "10.1007/978-3-319-64063-1_10",
    	url = "https://doi.org/10.1007/978-3-319-64063-1_10"
    }
    

  1. Trujillo Leonardo, Emigdio Z-Flores, Perla S Juarez Smith, Pierrick Legrand, Sara Silva, Mauro Castelli, Leonardo Vanneschi, Oliver Schütze and Luiz Munoz. Local Search is Underused in Genetic Programming. In Ann Arbor (ed.). Genetic Programming Theory and Practice XIV. Springer, 2017. URL BibTeX

    @incollection{leonardo:hal-01388426,
    	title = "{Local Search is Underused in Genetic Programming}",
    	author = {Leonardo, Trujillo and Z-Flores, Emigdio and Juarez Smith, Perla S. and Legrand, Pierrick and Silva, Sara and Castelli, Mauro and Vanneschi, Leonardo and Sch{\"u}tze, Oliver and Munoz, Luiz},
    	url = "https://hal.inria.fr/hal-01388426",
    	booktitle = "{Genetic Programming Theory and Practice XIV}",
    	editor = "Ann Arbor",
    	publisher = "{Springer}",
    	year = 2017,
    	hal_id = "hal-01388426",
    	hal_version = "v1"
    }
    

  1. Oliver Schütze, Leonardo Trujillo, Pierrick Legrand and Yazmin Maldonado (eds.). Local Search Approach to Genetic Programming for RF-PAs Modeling Implemented in FPGA. pages 67–88, Springer International Publishing, 2017. URL, DOI BibTeX

    @inbook{CárdenasValdez2017,
    	author = "C{\'a}rdenas Valdez, J. R. and Z-Flores, Emigdio and N{\'u}{\~{n}}ez P{\'e}rez, Jos{\'e} Cruz and Trujillo, Leonardo",
    	editor = {Sch{\"u}tze, Oliver and Trujillo, Leonardo and Legrand, Pierrick and Maldonado, Yazmin},
    	title = "Local Search Approach to Genetic Programming for RF-PAs Modeling Implemented in FPGA",
    	booktitle = "NEO 2015: Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico",
    	year = 2017,
    	publisher = "Springer International Publishing",
    	address = "Cham",
    	pages = "67--88",
    	abstract = "This paperCardenas, Valdez J.R. presents a geneticZ-Flores, Emigdio programming (GP) approach enhanced with a localNu{\~{n}}ez, Jos{\'e} search heuristic (GP-LS) to emulateTrujillo, Leonardo the Doherty 7 W @ 2.11 GHz Radio Frequency (RF) Power Amplifier (PA) conversion curves. GP has been shown to be a powerful modeling tool, but can be compromised by slow convergence and computational cost. The proposal is to combine the explorative search of standard GP, which build the syntax of the solution, with numerical methods that perform an exploitative and greedy local optimization of the evolved structures. The results are compared with traditional modeling techniques, particularly the memory polynomial model (MPM). The main contribution of the paper is the design, comparison and hardware emulation of GP-LS for FPGA real applications. The experimental results show that GP-LS can outperform standard MPM, and suggest a promising new direction of future work on digital pre-distortion (DPD) that requires complex behavioral models.",
    	isbn = "978-3-319-44003-3",
    	doi = "10.1007/978-3-319-44003-3_3",
    	url = "https://doi.org/10.1007/978-3-319-44003-3_3"
    }
    

  1. Oliver Schütze, Leonardo Trujillo, Pierrick Legrand and Yazmin Maldonado (eds.). Automatic Random Tree Generator on FPGA. pages 89–104, Springer International Publishing, 2017. URL, DOI BibTeX

    @inbook{Goribar2017,
    	author = "Goribar, Carlos and Maldonado, Yazmin and Trujillo, Leonardo",
    	editor = {Sch{\"u}tze, Oliver and Trujillo, Leonardo and Legrand, Pierrick and Maldonado, Yazmin},
    	title = "Automatic Random Tree Generator on FPGA",
    	booktitle = "NEO 2015: Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico",
    	year = 2017,
    	publisher = "Springer International Publishing",
    	address = "Cham",
    	pages = "89--104",
    	abstract = "In this workGoribar, Carlos we propose the implementationMaldonado, Yazmin of an automatic random tree generatorTrujillo, Leonardo on an FPGA for genetic programming (GP). While most authors in specialized literature avoid the use of the tree data structure in their implementations of GP on Field Programmable Gate Arrays (FPGAs), due to the impossibility of using pointers (references) in the Very High Speed Integrated Circuit Hardware Description Language (VHDL), we propose two methods for a single matrix implementation and one for a vector implementation. All trees in the population are created in concurrent processes leading to significant time savings. We present pseudocode and results of hardware consumption for matrix and vector implementations. Results show that up to 100 trees can be implemented in a Spartan-6 FPGA using the representation of one tree in a single matrix in parallel processes. Moreover, this implementation requires less resources than the apparently simpler vector representation.",
    	isbn = "978-3-319-44003-3",
    	doi = "10.1007/978-3-319-44003-3_4",
    	url = "https://doi.org/10.1007/978-3-319-44003-3_4"
    }
    

  1. Oliver Schütze, Leonardo Trujillo, Pierrick Legrand and Yazmin Maldonado (eds.). Profiting from Several Recommendation Algorithms Using a Scalable Approach. pages 357–375, Springer International Publishing, 2017. URL, DOI BibTeX

    @inbook{Lanza2017,
    	author = "Lanza, Daniel and Ch{\'a}vez, F. and Fernandez, Francisco and Garcia-Valdez, M. and Trujillo, Leonardo and Olague, Gustavo",
    	editor = {Sch{\"u}tze, Oliver and Trujillo, Leonardo and Legrand, Pierrick and Maldonado, Yazmin},
    	title = "Profiting from Several Recommendation Algorithms Using a Scalable Approach",
    	booktitle = "NEO 2015: Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico",
    	year = 2017,
    	publisher = "Springer International Publishing",
    	address = "Cham",
    	pages = "357--375",
    	abstract = "This chapter proposesLanza, Daniel the use of a scalable platform to run a complexCh{\'a}vez, Francisco recommendation system. We focus on a systemFern{\'a}ndez de Vega, Francisco made up of several recommendationGarc{\'i}a-Valdez, Mario algorithms which are run as an offline process. This offline process generates user profiles that representTrujillo, Leonardo which algorithm should provide the recommendations to a given user and item, and will be combined withOlague, Gustavo a fuzzy decision system to generate every recommendation. Yet, given the amount of data that will be processed and the need to run that offline process frequently, we propose to reduce execution time by using Hadoop, a scalable, distributed and fault-tolerant platform. Obtained results shows how the main goal pursued here is achieved: the efficient use of computer resources which allows for a significant reduction in computing time.",
    	isbn = "978-3-319-44003-3",
    	doi = "10.1007/978-3-319-44003-3_14",
    	url = "https://doi.org/10.1007/978-3-319-44003-3_14"
    }
    

  1. Oliver Schütze, Leonardo Trujillo, Pierrick Legrand and Yazmin Maldonado (eds.). The Ambulance Location Problem in Tijuana, Mexico. pages 409–441, Springer International Publishing, 2017. URL, DOI BibTeX

    @inbook{Dibene2017,
    	author = {Dibene, Juan Carlos and Maldonado, Yazmin and Vera, Carlos and Trujillo, Leonardo and de Oliveira, Mauricio and Sch{\"u}tze, Oliver},
    	editor = {Sch{\"u}tze, Oliver and Trujillo, Leonardo and Legrand, Pierrick and Maldonado, Yazmin},
    	title = "The Ambulance Location Problem in Tijuana, Mexico",
    	booktitle = "NEO 2015: Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico",
    	year = 2017,
    	publisher = "Springer International Publishing",
    	address = "Cham",
    	pages = "409--441",
    	abstract = {This work studiesDibene, Juan Carlos the ambulance location problem for the RedMaldonado, Yazmin Cross in Tijuana, Baja CaliforniaTrujillo, Leonardo , Mexico. The solution to the ambulanceVera, Carlos location problem is to optimallyDe Oliveira, Mauricio locate all available ambulances withinSch{\"u}tze, Oliver the city such that coverage of the city population is maximized and a quick response to any emergency is ensured. The problem is posed using three different coverage models; namely the Location Set Covering Model (LSCM), the Maximal Covering Location Problem (MCLP) and the Double Standard Model (DSM), also we proposed robust versions of each model, where the goal was to find a single solution that might provide optima coverage in several different scenarios. Using real-world data collected from over 44,000 emergency calls received by the Red Cross of Tijuana, several scenarios were generated that provide different perspectives of the demand throughout the city, considering such factors as the time of day, work and off-days, geographical organization and call priority. These scenarios are solved using Integer Linear Programming and the solutions are compared with the current locations used by the Red Cross. Results show that demand coverage and response times can be substantially improved without additional resources.},
    	isbn = "978-3-319-44003-3",
    	doi = "10.1007/978-3-319-44003-3_17",
    	url = "https://doi.org/10.1007/978-3-319-44003-3_17"
    }
    

  • 2016

  1. Juan Julián Merelo, Agostinho Rosa, José M Cadenas, António Dourado Correia, Kurosh Madani, António Ruano and Joaquim Filipe (eds.). Demand-Side Management: Optimising Through Differential Evolution Plug-in Electric Vehicles to Partially Fulfil Load Demand. pages 155–174, Springer International Publishing, 2017. URL, DOI BibTeX

    @inbook{Galván-López2017,
    	author = "Galv{\'a}n-L{\'o}pez, Edgar and Schoenauer, Marc and Patsakis, Constantinos and Trujillo, Leonardo",
    	editor = "Merelo, Juan Juli{\'a}n and Rosa, Agostinho and Cadenas, Jos{\'e} M. and Correia, Ant{\'o}nio Dourado and Madani, Kurosh and Ruano, Ant{\'o}nio and Filipe, Joaquim",
    	title = "Demand-Side Management: Optimising Through Differential Evolution Plug-in Electric Vehicles to Partially Fulfil Load Demand",
    	booktitle = "Computational Intelligence: International Joint Conference, IJCCI 2015 Lisbon, Portugal, November 12-14, 2015, Revised Selected Papers",
    	year = 2017,
    	publisher = "Springer International Publishing",
    	address = "Cham",
    	pages = "155--174",
    	abstract = "In this paper, we investigate the use of an stochastic optimisation bio-inspired algorithm, differential evolution, and proposed two fitness (cost) functions that can automatically create an intelligent scheduling for a demand-side management system so that it can use plug-in electric vehicles's (PEVs) batteries to partially and temporarily fulfil electricity requirements from a set of household units. To do so, we proposed two fitness functions that aim: (a) to use the most amount of energy from the batteries of PEVs while still guaranteeing that they can complete a journey, and (b) to enrich the previous function to reduce peak loads.",
    	isbn = "978-3-319-48506-5",
    	doi = "10.1007/978-3-319-48506-5_9",
    	url = "https://doi.org/10.1007/978-3-319-48506-5_9"
    }
    

  1. Juan Julián Merelo, Agostinho Rosa, José M Cadenas, António Dourado Correia, Kurosh Madani, António Ruano and Joaquim Filipe (eds.). Demand-Side Management: Optimising Through Differential Evolution Plug-in Electric Vehicles to Partially Fulfil Load Demand. pages 155–174, Springer International Publishing, 2017. URL, DOI BibTeX

    @inbook{Galván-López2017,
    	author = "Galv{\'a}n-L{\'o}pez, Edgar and Schoenauer, Marc and Patsakis, Constantinos and Trujillo, Leonardo",
    	editor = "Merelo, Juan Juli{\'a}n and Rosa, Agostinho and Cadenas, Jos{\'e} M. and Correia, Ant{\'o}nio Dourado and Madani, Kurosh and Ruano, Ant{\'o}nio and Filipe, Joaquim",
    	title = "Demand-Side Management: Optimising Through Differential Evolution Plug-in Electric Vehicles to Partially Fulfil Load Demand",
    	booktitle = "Computational Intelligence: International Joint Conference, IJCCI 2015 Lisbon, Portugal, November 12-14, 2015, Revised Selected Papers",
    	year = 2017,
    	publisher = "Springer International Publishing",
    	address = "Cham",
    	pages = "155--174",
    	abstract = "In this paper, we investigate the use of an stochastic optimisation bio-inspired algorithm, differential evolution, and proposed two fitness (cost) functions that can automatically create an intelligent scheduling for a demand-side management system so that it can use plug-in electric vehicles's (PEVs) batteries to partially and temporarily fulfil electricity requirements from a set of household units. To do so, we proposed two fitness functions that aim: (a) to use the most amount of energy from the batteries of PEVs while still guaranteeing that they can complete a journey, and (b) to enrich the previous function to reduce peak loads.",
    	isbn = "978-3-319-48506-5",
    	doi = "10.1007/978-3-319-48506-5_9",
    	url = "https://doi.org/10.1007/978-3-319-48506-5_9"
    }
    

  • 2014

  1. Eduardo Reck Miranda and Julien Castet (eds.). Feature Extraction and Classification of EEG Signals. The Use of a Genetic Algorithm for an Application on Alertness Prediction. pages 191–220, Springer London, 2014. URL, DOI BibTeX

    @inbook{Legrand2014,
    	author = {Legrand, Pierrick and V{\'e}zard, Laurent and Chavent, Marie and Fa{\"i}ta-A{\"i}nseba, Fr{\'e}d{\'e}rique and Trujillo, Leonardo},
    	editor = "Miranda, Eduardo Reck and Castet, Julien",
    	title = "Feature Extraction and Classification of EEG Signals. The Use of a Genetic Algorithm for an Application on Alertness Prediction",
    	booktitle = "Guide to Brain-Computer Music Interfacing",
    	year = 2014,
    	publisher = "Springer London",
    	address = "London",
    	pages = "191--220",
    	abstract = "This chapter presents a method to automatically determine the alertness state of humans. Such a task is relevant in diverse domains, where a person is expected or required to be in a particular state of alertness. For instance, pilots, security personnel, or medical personnel are expected to be in a highly alert state, and this method could help to confirm this or detect possible problems. In this work, electroencephalographic (EEG) data from 58 subjects in two distinct vigilance states (state of high and low alertness) was collected via a cap with 58 electrodes. Thus, a binary classification problem is considered. To apply the proposed approach in a real-world scenario, it is necessary to build a prediction method that requires only a small number of sensors (electrodes), minimizing the total cost and maintenance of the system while also reducing the time required to properly setup the EEG cap. The approach presented in this chapter applies a preprocessing method for EEG signals based on the use of discrete wavelet decomposition (DWT) to extract the energy of each frequency in the signal. Then, a linear regression is performed on the energies of some of these frequencies and the slope of this regression is retained. A genetic algorithm (GA) is used to optimize the selection of frequencies on which the regression is performed and to select the best recording electrode. Results show that the proposed strategy derives accurate predictive models of alertness.",
    	isbn = "978-1-4471-6584-2",
    	doi = "10.1007/978-1-4471-6584-2_9",
    	url = "https://doi.org/10.1007/978-1-4471-6584-2_9"
    }
    

  1. Arpit Bhardwaj, Aruna Tiwari, Vishaal M Varma and Ramesh M Krishna. Classification of EEG Signals Using a Novel Genetic Programming Approach. In Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation. 2014, 1297–1304. URL, DOI BibTeX

    @inproceedings{Bhardwaj:2014:CES:2598394.2609851,
    	author = "Bhardwaj, Arpit and Tiwari, Aruna and Varma, M. Vishaal and Krishna, M. Ramesh",
    	title = "Classification of EEG Signals Using a Novel Genetic Programming Approach",
    	booktitle = "Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation",
    	series = "GECCO Comp '14",
    	year = 2014,
    	isbn = "978-1-4503-2881-4",
    	location = "Vancouver, BC, Canada",
    	pages = "1297--1304",
    	numpages = 8,
    	url = "http://doi.acm.org/10.1145/2598394.2609851",
    	doi = "10.1145/2598394.2609851",
    	acmid = 2609851,
    	publisher = "ACM",
    	address = "New York, NY, USA",
    	keywords = "emperical mode decomposition, genetic programming, globally prime"
    }
    

  • 2013

  1. Leonardo Trujillo, Enrique Naredo and Yuliana Martínez. Preliminary Study of Bloat in Genetic Programming with Behavior-Based Search. In Michael Emmerich, Andre Deutz, Oliver Schuetze, Thomas Bäck, Emilia Tantar, Alexandru-Adrian Tantar, Pierre Del Moral, Pierrick Legrand, Pascal Bouvry and Carlos A Coello (eds.). EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV. Advances in Intelligent Systems and Computing series, volume 227, Springer International Publishing, 2013, pages 293-305. URL, DOI BibTeX

    @incollection{,
    	year = 2013,
    	isbn = "978-3-319-01127-1",
    	booktitle = "EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV",
    	volume = 227,
    	series = "Advances in Intelligent Systems and Computing",
    	editor = "Emmerich, Michael and Deutz, Andre and Schuetze, Oliver and Bäck, Thomas and Tantar, Emilia and Tantar, Alexandru-Adrian and Moral, Pierre Del and Legrand, Pierrick and Bouvry, Pascal and Coello, Carlos A.",
    	doi = "10.1007/978-3-319-01128-8_19",
    	title = "Preliminary Study of Bloat in Genetic Programming with Behavior-Based Search",
    	url = "http://dx.doi.org/10.1007/978-3-319-01128-8_19",
    	publisher = "Springer International Publishing",
    	keywords = "Bloat; Genetic Programming; Novelty Search",
    	author = "Trujillo, Leonardo and Naredo, Enrique and Martínez, Yuliana",
    	pages = "293-305"
    }
    

  • 2012

  1. Victor H Diaz-Ramirez, Leonardo Trujillo and Sergio Pinto-Fernandez. Advances in Adaptive Composite Filters for Object Recognition. . BibTeX

    @article{diazadvances,
    	title = "Advances in Adaptive Composite Filters for Object Recognition",
    	author = "Diaz-Ramirez, Victor H and Trujillo, Leonardo and Pinto-Fernandez, Sergio"
    }
    

  1. Edgar Galvan, Leonardo Trujillo, James McDermott and Ahmed Kattan. Locality in Continuous Fitness-Valued Cases and Genetic Programming Difficulty. In Oliver Schütze, Carlos A Coello Coello, Alexandru-Adrian Tantar, Emilia Tantar, Pascal Bouvry, Pierre Del Moral and Pierrick Legrand (eds.). EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II. Advances in Intelligent Systems and Computing series, volume 175, Springer Berlin Heidelberg, 2013, pages 41-56. URL, DOI BibTeX

    @incollection{,
    	year = 2013,
    	isbn = "978-3-642-31518-3",
    	booktitle = "EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II",
    	volume = 175,
    	series = "Advances in Intelligent Systems and Computing",
    	editor = "Schütze, Oliver and Coello Coello, Carlos A. and Tantar, Alexandru-Adrian and Tantar, Emilia and Bouvry, Pascal and Del Moral, Pierre and Legrand, Pierrick",
    	doi = "10.1007/978-3-642-31519-0_3",
    	title = "Locality in Continuous Fitness-Valued Cases and Genetic Programming Difficulty",
    	url = "http://dx.doi.org/10.1007/978-3-642-31519-0_3",
    	publisher = "Springer Berlin Heidelberg",
    	author = "Galvan, Edgar and Trujillo, Leonardo and McDermott, James and Kattan, Ahmed",
    	pages = "41-56"
    }
    

  1. Arturo Sotelo, Enrique Guijarro, Leonardo Trujillo, Luis Coria and Yuliana Martínez. Analysis and Classification of Epilepsy Stages with Genetic Programming. In Oliver Schütze, Carlos A Coello Coello, Alexandru-Adrian Tantar, Emilia Tantar, Pascal Bouvry, Pierre Del Moral and Pierrick Legrand (eds.). EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II. Advances in Intelligent Systems and Computing series, volume 175, Springer Berlin Heidelberg, 2013, pages 57-70. URL, DOI BibTeX

    @incollection{,
    	year = 2013,
    	isbn = "978-3-642-31518-3",
    	booktitle = "EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II",
    	volume = 175,
    	series = "Advances in Intelligent Systems and Computing",
    	editor = "Schütze, Oliver and Coello Coello, Carlos A. and Tantar, Alexandru-Adrian and Tantar, Emilia and Bouvry, Pascal and Del Moral, Pierre and Legrand, Pierrick",
    	doi = "10.1007/978-3-642-31519-0_4",
    	title = "Analysis and Classification of Epilepsy Stages with Genetic Programming",
    	url = "http://dx.doi.org/10.1007/978-3-642-31519-0_4",
    	publisher = "Springer Berlin Heidelberg",
    	keywords = "Epilepsy Diagnosis; Genetic Programming; Classification",
    	author = "Sotelo, Arturo and Guijarro, Enrique and Trujillo, Leonardo and Coria, Luis and Martínez, Yuliana",
    	pages = "57-70"
    }
    

  1. Enrique Naredo, Enrique Dunn and Leonardo Trujillo. Disparity Map Estimation by Combining Cost Volume Measures Using Genetic Programming. In Oliver Schütze, Carlos A Coello Coello, Alexandru-Adrian Tantar, Emilia Tantar, Pascal Bouvry, Pierre Del Moral and Pierrick Legrand (eds.). EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II. Advances in Intelligent Systems and Computing series, volume 175, Springer Berlin Heidelberg, 2013, pages 71-86. URL, DOI BibTeX

    @incollection{,
    	year = 2013,
    	isbn = "978-3-642-31518-3",
    	booktitle = "EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II",
    	volume = 175,
    	series = "Advances in Intelligent Systems and Computing",
    	editor = "Schütze, Oliver and Coello Coello, Carlos A. and Tantar, Alexandru-Adrian and Tantar, Emilia and Bouvry, Pascal and Del Moral, Pierre and Legrand, Pierrick",
    	doi = "10.1007/978-3-642-31519-0_5",
    	title = "Disparity Map Estimation by Combining Cost Volume Measures Using Genetic Programming",
    	url = "http://dx.doi.org/10.1007/978-3-642-31519-0_5",
    	publisher = "Springer Berlin Heidelberg",
    	keywords = "Stereo Vision; Disparity Map; Genetic Programming",
    	author = "Naredo, Enrique and Dunn, Enrique and Trujillo, Leonardo",
    	pages = "71-86"
    }
    

  • 2010

  1. JoséParra Galaviz, Patricia Melin and Leonardo Trujillo. Improvement of the Backpropagation Algorithm Using (1+1) Evolutionary Strategies. In Patricia Melin, Janusz Kacprzyk and Witold Pedrycz (eds.). Soft Computing for Recognition Based on Biometrics. Studies in Computational Intelligence series, volume 312, Springer Berlin Heidelberg, 2010, pages 287-302. URL, DOI BibTeX

    @incollection{,
    	year = 2010,
    	isbn = "978-3-642-15110-1",
    	booktitle = "Soft Computing for Recognition Based on Biometrics",
    	volume = 312,
    	series = "Studies in Computational Intelligence",
    	editor = "Melin, Patricia and Kacprzyk, Janusz and Pedrycz, Witold",
    	doi = "10.1007/978-3-642-15111-8_18",
    	title = "Improvement of the Backpropagation Algorithm Using (1+1) Evolutionary Strategies",
    	url = "http://dx.doi.org/10.1007/978-3-642-15111-8_18",
    	publisher = "Springer Berlin Heidelberg",
    	author = "Galaviz, JoséParra and Melin, Patricia and Trujillo, Leonardo",
    	pages = "287-302"
    }
    

  • 2009

  1. Mónica Beltrán, Patricia Melin and Leonardo Trujillo. Signature Recognition with a Hybrid Approach Combining Modular Neural Networks and Fuzzy Logic for Response Integration. In Oscar Castillo, Witold Pedrycz and Janusz Kacprzyk (eds.). Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control. Studies in Computational Intelligence series, volume 257, Springer Berlin Heidelberg, 2009, pages 185-201. URL, DOI BibTeX

    @incollection{,
    	year = 2009,
    	isbn = "978-3-642-04513-4",
    	booktitle = "Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control",
    	volume = 257,
    	series = "Studies in Computational Intelligence",
    	editor = "Castillo, Oscar and Pedrycz, Witold and Kacprzyk, Janusz",
    	doi = "10.1007/978-3-642-04514-1_10",
    	title = "Signature Recognition with a Hybrid Approach Combining Modular Neural Networks and Fuzzy Logic for Response Integration",
    	url = "http://dx.doi.org/10.1007/978-3-642-04514-1_10",
    	publisher = "Springer Berlin Heidelberg",
    	author = "Beltrán, Mónica and Melin, Patricia and Trujillo, Leonardo",
    	pages = "185-201"
    }
    

  1. Leonardo Trujillo and Gustavo Olague. Detecting Scale-Invariant Regions Using Evolved Image Operators. In Stefano Cagnoni (ed.). Evolutionary Image Analysis and Signal Processing. Studies in Computational Intelligence series, volume 213, Springer Berlin Heidelberg, 2009, pages 21-40. URL, DOI BibTeX

    @incollection{,
    	year = 2009,
    	isbn = "978-3-642-01635-6",
    	booktitle = "Evolutionary Image Analysis and Signal Processing",
    	volume = 213,
    	series = "Studies in Computational Intelligence",
    	editor = "Cagnoni, Stefano",
    	doi = "10.1007/978-3-642-01636-3_2",
    	title = "Detecting Scale-Invariant Regions Using Evolved Image Operators",
    	url = "http://dx.doi.org/10.1007/978-3-642-01636-3_2",
    	publisher = "Springer Berlin Heidelberg",
    	author = "Trujillo, Leonardo and Olague, Gustavo",
    	pages = "21-40"
    }
    

  1. Mónica Beltrán, Patricia Melin and Leonardo Trujillo. Modular Neural Networks with Fuzzy Response Integration for Signature Recognition. In Patricia Melin, Janusz Kacprzyk and Witold Pedrycz (eds.). Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition. Studies in Computational Intelligence series, volume 256, Springer Berlin Heidelberg, 2009, pages 81-91. URL, DOI BibTeX

    @incollection{,
    	year = 2009,
    	isbn = "978-3-642-04515-8",
    	booktitle = "Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition",
    	volume = 256,
    	series = "Studies in Computational Intelligence",
    	editor = "Melin, Patricia and Kacprzyk, Janusz and Pedrycz, Witold",
    	doi = "10.1007/978-3-642-04516-5_5",
    	title = "Modular Neural Networks with Fuzzy Response Integration for Signature Recognition",
    	url = "http://dx.doi.org/10.1007/978-3-642-04516-5_5",
    	publisher = "Springer Berlin Heidelberg",
    	author = "Beltrán, Mónica and Melin, Patricia and Trujillo, Leonardo",
    	pages = "81-91"
    }
    

  1. Gustavo Olague and Leonardo Trujillo. A Genetic Programming Approach to the Design of Interest Point Operators. In Patricia Melin, Janusz Kacprzyk and Witold Pedrycz (eds.). Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition. Studies in Computational Intelligence series, volume 256, Springer Berlin Heidelberg, 2009, pages 49-65. URL, DOI BibTeX

    @incollection{,
    	year = 2009,
    	isbn = "978-3-642-04515-8",
    	booktitle = "Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition",
    	volume = 256,
    	series = "Studies in Computational Intelligence",
    	editor = "Melin, Patricia and Kacprzyk, Janusz and Pedrycz, Witold",
    	doi = "10.1007/978-3-642-04516-5_3",
    	title = "A Genetic Programming Approach to the Design of Interest Point Operators",
    	url = "http://dx.doi.org/10.1007/978-3-642-04516-5_3",
    	publisher = "Springer Berlin Heidelberg",
    	author = "Olague, Gustavo and Trujillo, Leonardo",
    	pages = "49-65"
    }
    

  1. Gustavo Olague, Riad Hammoud, Leonardo Trujillo, Benjamín Hernández and Eva Romero. Facial Expression Recognition in Nonvisual Imagery. In RiadI. Hammoud (ed.). Augmented Vision Perception in Infrared. Advances in Pattern Recognition series, Springer London, 2009, pages 213-239. URL, DOI BibTeX

    @incollection{,
    	year = 2009,
    	isbn = "978-1-84800-276-0",
    	booktitle = "Augmented Vision Perception in Infrared",
    	series = "Advances in Pattern Recognition",
    	editor = "Hammoud, RiadI.",
    	doi = "10.1007/978-1-84800-277-7_10",
    	title = "Facial Expression Recognition in Nonvisual Imagery",
    	url = "http://dx.doi.org/10.1007/978-1-84800-277-7_10",
    	publisher = "Springer London",
    	author = "Olague, Gustavo and Hammoud, Riad and Trujillo, Leonardo and Hernández, Benjamín and Romero, Eva",
    	pages = "213-239"
    }
    

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