Antonio Berlanga

Antonio Berlanga de Jesús

	2012
53		Gonzalo Blázquez Gil, Antonio Berlanga de Jesús, José M. Molina López: Comparing Features Extraction Techniques Using J48 for Activity Recognition on Mobile Phones. DCAI 2012: 141-150
52		José Luis Guerrero, Alfonso Gómez-Jordana, Antonio Berlanga, José M. Molina: Mutagenesis as a Diversity Enhancer and Preserver in Evolution Strategies. DCAI 2012: 725-732
51		José Luis Guerrero, Antonio Berlanga, José Manuel Molina: Initialization Procedures for Multiobjective Evolutionary Approaches to the Segmentation Issue. HAIS (1) 2012: 452-463
50		Rodrigo Cilla, Miguel A. Patricio, Antonio Berlanga, José M. Molina: A probabilistic, discriminative and distributed system for the recognition of human actions from multiple views. Neurocomputing 75(1): 78-87 (2012)
	2011
49		José Luis Guerrero, Antonio Berlanga, José Manuel Molina: A robust memetic algorithm with self-stopping capabilities. GECCO (Companion) 2011: 113-114
48		Rodrigo Cilla, Miguel A. Patricio, Antonio Berlanga, José M. Molina: Improving the Accuracy of Action Classification Using View-Dependent Context Information. HAIS (2) 2011: 136-143
47		Luis Martí, Jesús García, Antonio Berlanga, José M. Molina López: Indicator-based MONEDA: A comparative study of scalability with respect to decision space dimensions. IEEE Congress on Evolutionary Computation 2011: 957-964
46		Rodrigo Cilla, Miguel A. Patricio, Antonio Berlanga, José M. Molina: Multicamera Action Recognition with Canonical Correlation Analysis and Discriminative Sequence Classification. IWINAC (1) 2011: 491-500
45		Luis Martí, Jesús García, Antonio Berlanga, José M. Molina: Multi-Objective Optimization with an Adaptive Resonance Theory-Based Estimation of Distribution Algorithm: A Comparative Study. LION 2011: 458-472
44		Iván Dotú, Miguel A. Patricio, Antonio Berlanga, Jesús García, José M. Molina: Boosting video tracking performance by means of Tabu Search in intelligent visual surveillance systems. J. Heuristics 17(4): 415-440 (2011)
43		Luis Martí, Jesús García, Antonio Berlanga, Carlos A. Coello Coello, José M. Molina: MB-GNG: Addressing drawbacks in multi-objective optimization estimation of distribution algorithms. Oper. Res. Lett. 39(2): 150-154 (2011)
42		Jesús García, Miguel A. Patricio, Antonio Berlanga, José M. Molina López: Fuzzy region assignment for visual tracking. Soft Comput. 15(9): 1845-1864 (2011)
	2010
41		José Luis Guerrero, Antonio Berlanga, Jesús García, José Manuel Molina: Piecewise Linear Representation Segmentation as a Multiobjective Optimization Problem. DCAI 2010: 267-274
40		Gonzalo Blázquez Gil, Antonio Berlanga de Jesús, José M. Molina López: Multi-sensor and Multi Agents Architecture for Indoor Location. DCAI 2010: 309-316
39		Luis Martí, Jesús García, Antonio Berlanga, José M. Molina: Advancing Model-Building for Many-Objective Optimization Estimation of Distribution Algorithms. EvoApplications (1) 2010: 512-521
38		Luis Martí, Jesús García, Antonio Berlanga, José M. Molina: Moving away from error-based learning in multi-objective estimation of distribution algorithms. GECCO 2010: 545-546
37		Rodrigo Cilla, Miguel A. Patricio, Antonio Berlanga, José M. Molina: Fusion of Single View Soft k-NN Classifiers for Multicamera Human Action Recognition. HAIS (2) 2010: 436-443
36		Luis Martí, Jesús García, Antonio Berlanga, José M. Molina: A progress indicator for detecting success and failure in evolutionary multi-objective optimization. IEEE Congress on Evolutionary Computation 2010: 1-8
35		José Luis Guerrero, Luis Martí, Antonio Berlanga, Jesús García, José M. Molina López: Introducing a robust and efficient stopping criterion for MOEAs. IEEE Congress on Evolutionary Computation 2010: 1-8
	2009
34		Rodrigo Cilla, Miguel A. Patricio, Antonio Berlanga, José M. Molina: Creating Human Activity Recognition Systems Using Pareto-based Multiobjective Optimization. AVSS 2009: 37-42
33		Iván Dotú, Pascal Van Hentenryck, Miguel A. Patricio, Antonio Berlanga, Jose García, José M. Molina López: Real-Time Tabu Search for Video Tracking Association. CP 2009: 21-34
32		José Luis Guerrero, Jesús García, Luis Martí, José Manuel Molina, Antonio Berlanga: A stopping criterion based on Kalman estimation techniques with several progress indicators. GECCO 2009: 587-594
31		Luis Martí, Jesús García, Antonio Berlanga, José M. Molina: Solving complex high-dimensional problems with the multi-objective neural estimation of distribution algorithm. GECCO 2009: 619-626
30		Luis Martí, Jesús García, Antonio Berlanga, José M. Molina: On the Model-Building Issue of Multi-Objective Estimation of Distribution Algorithms. HAIS 2009: 293-300
29		Lucas Marti, Jesús García, Antonio Berlanga, José Manuel Molina: An approach to stopping criteria for multi-objective optimization evolutionary algorithms: The MGBM criterion. IEEE Congress on Evolutionary Computation 2009: 1263-1270
28		Antonio Berlanga, Jesús García Herrero, José Manuel Molina: Multiobjective Evolutionary Algorithms: Applications in Real Problems. IWANN (1) 2009: 714-719
27		Iván Dotú, J. García, Antonio Berlanga, José Manuel Molina: A meta-level evolutionary strategy for many-criteria design: Application to improving tracking filters. Advanced Engineering Informatics 23(3): 243-252 (2009)
26		Rodrigo Cilla, Miguel A. Patricio, Jesús García, Antonio Berlanga, José M. Molina López: Recognizing Human Activities from Sensors Using Hidden Markov Models Constructed by Feature Selection Techniques. Algorithms 2(1): 282-300 (2009)
25		Miguel A. Patricio, Iván Dotú, Jesús García, Antonio Berlanga, José M. Molina: Discrete Optimization Algorithms in Real-Time Visual Tracking. Applied Artificial Intelligence 23(9): 805-827 (2009)
24		Jesús García Herrero, Antonio Berlanga, José M. Molina López: Effective Evolutionary Algorithms for Many-Specifications Attainment: Application to Air Traffic Control Tracking Filters. IEEE Trans. Evolutionary Computation 13(1): 151-168 (2009)
	2008
23		Rodrigo Cilla, Miguel A. Patricio, Antonio Berlanga, José M. Molina: On the Process of Designing an Activity Recognition System Using Symbolic and Subsymbolic Techniques. DCAI 2008: 729-738
22		Luis Martí, Jesús García, Antonio Berlanga, José M. Molina: Scalable Continuous Multiobjective Optimization with a Neural Network-Based Estimation of Distribution Algorithm. EvoWorkshops 2008: 535-544
21		Luis Martí, Jesús García, Antonio Berlanga, José Manuel Molina: Introducing MONEDA: scalable multiobjective optimization with a neural estimation of distribution algorithm. GECCO 2008: 689-696
20		Miguel A. Patricio, Jesús García, Antonio Berlanga, José M. Molina: Solving video-association problem with explicit evaluation of hypothesis using EDAs. IEEE Congress on Evolutionary Computation 2008: 2629-2636
19		Luis Martí, Jesús García, Antonio Berlanga, José Manuel Molina: Model-building algorithms for multiobjective EDAs: Directions for improvement. IEEE Congress on Evolutionary Computation 2008: 2843-2850
18		Luis Martí, Jesús García, Antonio Berlanga, José M. Molina: On the Computational Properties of the Multi-Objective Neural Estimation of Distribution Algorithm. NICSO 2008: 239-251
	2007
17		Luis Martí, Jesús García, Antonio Berlanga, José Manuel Molina: A cumulative evidential stopping criterion for multiobjective optimization evolutionary algorithms. GECCO 2007: 911
16		Luis Martí, Jesús García, Antonio Berlanga, José Manuel Molina: A cumulative evidential stopping criterion for multiobjective optimization evolutionary algorithms. GECCO (Companion) 2007: 2835-2842
15		María J. Pérez-Fructuoso, Almudena García, Antonio Berlanga, José M. Molina López: Adjusting the Generalized Pareto Distribution with Evolution Strategies - An application to a Spanish Motor Liability Insurance Database. IDEAL 2007: 1010-1019
14		Miguel Ángel Patricio Guisado, Jesús García, Antonio Berlanga, José M. Molina: Video Tracking Association Problem Using Estimation of Distribution Algorithms in Complex Scenes. IWINAC (2) 2007: 261-270
13		Jesús García, Antonio Berlanga, José M. Molina: Evolutionary algorithms in multiply-specified engineering. The MOEAs and WCES strategies. Advanced Engineering Informatics 21(1): 3-21 (2007)
	2005
12		Óscar Pérez, Jesús García, Antonio Berlanga, José M. Molina: Evolving Parameters of Surveillance Video Systems for Non-overfitted Learning. EvoWorkshops 2005: 386-395
11		Óscar Pérez, Jesús García, Antonio Berlanga, José M. Molina: Adjustment of Surveillance Video Systems by a Performance Evaluation Function. IWINAC (2) 2005: 499-508
10		Jesús García, Antonio Berlanga, José M. Molina, José R. Casar Corredera: Optimization of airport ground operations integrating genetic and dynamic flow management algorithms. AI Commun. 18(2): 143-164 (2005)
9		Jesús García Herrero, Antonio Berlanga, José M. Molina López, José R. Casar Corredera: Methods for Operations Planning in Airport Decision Support Systems. Appl. Intell. 22(3): 183-206 (2005)
	2004
8		Antonio Berlanga, Juan A. Besada Portas, Jesús García Herrero, José M. Molina, Javier I. Portillo, José R. Casar Corredera: Optimizing Statistical Character Recognition Using Evolutionary Strategies to Recognize Aircraft Tail Numbers. EURASIP J. Adv. Sig. Proc. 2004(8): 1125-1134 (2004)
7		J. A. Besada, José M. Molina, Jesús García, Antonio Berlanga, Javier I. Portillo: Aircraft identification integrated into an airport surface surveillance video system. Mach. Vis. Appl. 15(3): 164-171 (2004)
	2003
6		Jesús García Herrero, Juan A. Besada Portas, Antonio Berlanga, José M. Molina López, Gonzalo de Miguel Vela, José R. Casar Corredera: Application of Evolution Strategies to the Design of Tracking Filters with a Large Number of Specifications. EURASIP J. Adv. Sig. Proc. 2003(8): 766-779 (2003)
	2002
5		Antonio Berlanga, Araceli Sanchís, Pedro Isasi, José M. Molina López: Neural Network Controller against Environment: A Coevolutive approach to Generalize Robot Navigation Behavior. Journal of Intelligent and Robotic Systems 33(2): 139-166 (2002)
	2001
4		Agapito Ledezma, Antonio Berlanga, Ricardo Aler: Automatic Symbolic Modelling of Co-evolutionarily Learned Robot Skills. IWANN (1) 2001: 799-806
	2000
3		Antonio Berlanga, Pedro Isasi, Araceli Sanchis de Miguel, José M. Molina: Uniform Coevolution for solving the density classification problem in Cellular Automata. GECCO 2000: 383
	1999
2		Antonio Berlanga, José M. Molina, Araceli Sanchís, Pedro Isasi: Applying Evolution Strategies to Neural Networks Robot Controller. IWANN (2) 1999: 516-525
1		Pedro Isasi, Araceli Sanchís, José M. Molina, Antonio Berlanga: A Computational Model of Evolution: Haploidy versus Diploidy. Computers and Artificial Intelligence 18(6): (1999)

Coauthor Index

1	Ricardo Aler	[4]
2	J. A. Besada	[7]
3	Rodrigo Cilla	[23] [26] [34] [37] [46] [48] [50]
4	Carlos A. Coello Coello (Carlos Artemio Coello Coello)	[43]
5	José R. Casar Corredera	[6] [8] [9] [10]
6	Iván Dotú (Iván Javier Dotú Rodríguez)	[25] [27] [33] [44]
7	Almudena García	[15]
8	J. García	[27]
9	Jesús García	[7] [10] [11] [12] [13] [14] [16] [17] [18] [19] [20] [21] [22] [25] [26] [29] [30] [31] [32] [35] [36] [38] [39] [41] [42] [43] [44] [45] [47]
10	Jose García	[33]
11	Gonzalo Blázquez Gil	[40] [53]
12	Alfonso Gómez-Jordana	[52]
13	José Luis Guerrero	[32] [35] [41] [49] [51] [52]
14	Pascal Van Hentenryck	[33]
15	Jesús García Herrero	[6] [8] [9] [24] [28]
16	Agapito Ledezma (Agapito Ledezma Espino)	[4]
17	José M. Molina López (José Manuel Molina, José M. Molina)	[1] [2] [3] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] [39] [40] [41] [42] [43] [44] [45] [46] [47] [48] [49] [50] [51] [52] [53]
18	Lucas Marti	[29]
19	Luis Martí	[16] [17] [18] [19] [21] [22] [30] [31] [32] [35] [36] [38] [39] [43] [45] [47]
20	Miguel A. Patricio (Miguel Ángel Patricio Guisado)	[14] [20] [23] [25] [26] [33] [34] [37] [42] [44] [46] [48] [50]
21	Óscar Pérez (Óscar Pérez Concha)	[11] [12]
22	María J. Pérez-Fructuoso	[15]
23	Juan A. Besada Portas	[6] [8]
24	Javier I. Portillo	[7] [8]
25	Araceli Sanchís (Araceli Sanchis de Miguel)	[1] [2] [3] [5]
26	Gonzalo de Miguel Vela	[6]
27	Pedro Isasi Viñuela (Pedro Isasi)	[1] [2] [3] [5]

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