2012

A. Garcia-Bilbao, R. Armañanzas, Z. Ispizua, B. Calvo, A. Alonso-Varona, I. Inza, P. Larrañaga, G. López-Vivanco, B. Suárez-Merino, M. Betanzos. (2012). Identification of a biomarker panel for colorectal cancer diagnosis. BMC Cancer, 12:43. doi:10.1186/1471-2407-12-43.

J. Ortigosa-Hernandez, J.D. Rodriguez, L. Alzate, M. Lucania I. Inza, J.A. Lozano. (2012). Approaching Sentiment Analysis by Using Semi-supervised Learning of Multi-dimensional Classifiers. Special Issue in Data Mining Applicacions and Case Studies, Neurocomputing (Accepted for publication).

2011

S. Shakya, R. Santana, and J. A. Lozano. A Markovianity based Optimisation Algorithm. Genetic Programming and Evolvable Machines. Springer. 2011. Accepted for publication.
C. Pérez-Miguel, J. Miguel-Alonso and A. Mendiburua. High throughput computing over peer-to-peer networks. Future Generation Computer Systems. Accepted for publication. DOI: 10.1016/j.future.2011.08.011
AD Rast, J Navaridas, X Jin, F Galluppi, LA Plana, J Miguel-Alonso, C Patterson, M Lujan, S Furber. Managing Burstiness and Scalability in Event-DrivenModels on the SpiNNaker Neuromimetic System. International Journal of Parallel Programming. Accepted for publication
J. Ceberio, E. Irurozki, A. Mendiburu, J.A. Lozano. A review on Estimation of Distribution Algorithms in Permutation-based Combinatorial Optimization Problems. Progress in Artificial Intelligence. Springer. DOI: 10.1007/s13748-011-0005-3.
Jose A. Pascual, Jose Miguel-Alonso and Jose A. Lozano. Optimization-based Mapping Framework for Parallel Applications. Journal of Parallel and Distributed Computing. DOI: 10.1016/j.jpdc.2011.06.005.
Javier Navaridas, Jose Miguel-Alonso, Indirect cube: A power-efficient topology for compute clusters, Optical Switching and Networking, In Press, Accepted Manuscript, Available online 9 April 2011, DOI: 10.1016/j.osn.2011.03.004.
M.M. Khan, A.D. Rast, J. Navaridas, X. Jin, L.A. Plana, M. Lujan, S. Temple, C. Patterson, D. Richards, J.V. Woods, J. Miguel-Alonso, S.B. Furber, Event-driven configuration of a neural network CMP system over an homogeneous interconnect fabric, Parallel Computing, In Press, Corrected Proof, Available online 3 March 2011, ISSN 0167-8191, DOI: 10.1016/j.parco.2011.02.003.
E. Kostem, J.A. Lozano, E. Eskin. Increasing Power of Genome-Wide Association Studies by Collecting Additional SNPs. Genetics, 188(2), 449-460. doi: 10.1534/genetics.111.128595
R. Armañanzas, Y. Saeys, I. Inza, M. Garcia-Torres, C. Bielza, Y. van de Peer, P. Larrañaga. Peakbin selection in mass spectrometry data using a consensus approach with estimation of distribution algorithms . IEEE/ACM Transactions on Computational Biology and Bioinformatics, 8(3), 760-774. doi: 10.1109/TCBB.2010.18.
C. Echegoyen, A. Mendiburu, R. Santana and J. A. Lozano. Towards understanding EDAs based on Bayesian networks through a quantitative analysis (2011) IEEE Transactions on Evolutionary Computation. Accepted for publication.
I. Ibarbia, A. Mendiburu, M. Santos and J. A. Lozano. An interactive optimization approach to a real-world oceanographic campaign planning problem. Applied Intelligence. Accepted for publication.
J. Navaridas, J. Miguel-Alonso, J.A. Pascual, F.J. Ridruejo. Simulating and evaluating interconnection networks with INSEE. Simulation Modelling Practice and Theory 19(1): 494-515 (2011)
R. Santana, C. Bielza, P. Larrañaga. Optimizing brain networks topologies using multi-objective evolutionary computation. Neuroinformatics. Vol. 9. No. 1. Pp. 3-19. 2011.
L. Lozada-Chang and R. Santana. Univariate marginal distribution algorithm dynamics for a class of parametric functions with unitation constraints. Information Sciences. Vol. 181. Pp. 2340-2355. 2011.

2010

C. Perez-Miguel, J. Miguel-Alonso and A. Mendiburu (2010) Porting Estimation of Distribution Algorithms to the Cell Broadband Engine. Parallel Computing. Volume 36, Issues 10-11, October-November 2010, Pages 618-634, Parallel Architectures and Bioinspired Algorithms
E. Bengoetxea, P. Larrañaga, C. Bielza, J.A. Fernandez del Pozo (2010) Optimal Row and Column Ordering to Improve Table Interpretation using Estimation of Distribution Algorithms. Journal of Heuristics. doi: 10.1007/s10732-010-9145-z.
J. A. Fernandes, X. Irigoien, N. Goikoetxea, J. A. Lozano, I. Inza, A. Perez and A. Bode. Fish recruitment prediction, using robust supervised classification methods. Ecological Modelling, 221(2), 338-352.
J.M. De la Fuente, E. Bengoetxea, F. Navarro, J. Bobes, R.D. Alarcón (2010) Interconnection between Biological Abnormalities in Borderline Personality Disorder. Use of the Bayesion Networks Model. Psychiatry Research Accepted for publication.
E. Irurozki, B. Calvo and J. A. Lozano (2010) A Preprocessing Procedure for Haplotype Inference by Pure Parsimony (2010) IEEE/ACM Transactions on Computational Biology and Bioinformatics. doi:10.1109/TCBB.2010.125.
R. Santana, A. Mendiburu, N. Zaitlen, E. Eskin and J. A. Lozano (2010) Multi-marker tagging SNP selection using estimation of distribution algorithms. Artificial Intelligence in Medicine. Volume 50, Issue 3, Pages 193-201.
R. Santana, C. Bielza, P. Larrañaga, J. A. Lozano, C. Echegoyen, A. Mendiburu, R. Armañanzas, S. Shakya (2010) MATEDA: A Matlab package for the implementation and analysis of Estimation of distribution algorithms. Journal of statistical software. American Statistical Association. Volume 35, Issue 7, 2010.
J. D. Rodríguez, A. Pérez and J. A. Lozano (2010) Sensitivity Analysis of k-fold cross-validation in prediction error estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 32 (3), pp. 569--574
R. Santana, P. Larrañaga, and J. A. Lozano (2010) Learning factorizations in estimation of distribution algorithms using affinity propagation. Evolutionary Computation, 18(4) 515-546.
J. Navaridas, J. Miguel-Alonso, F. J. Ridruejo, W. Denzel (2010) Reducing Complexity in Tree-like Computer Interconnection Networks. Parallel Computing. Volume 36, Issue 2-3, 71-85. DOI: 10.1016/j.parco.2009.12.004
J. M. Camara, M. Moreto, E. Vallejo, R. Beivide, J. Miguel-Alonso, C. Martinez, and J. Navaridas (2010) Twisted Torus Topologies for Enhanced Interconnection Networks. IEEE Transactions on Parallel and Distributed Systems. Vol. 21, No. 12, December 2010. DOI: 10.1109/TPDS.2010.30

2009

Jose A. Lozano, Qingfu Zhang and Pedro Larrañaga (2009) Guest Editorial: Special Issue on Evolutionary Algorithms Based on Probabilistic Models IEEE Transaction on Evolutionary Computation. 13( 6), 1197-1198.
J. Miguel-Alonso, J. Navaridas, F.J. Ridruejo (2009) Interconnection network simulation using traces of MPI applications. International Journal of Parallel Programming. 37 (2), 153-174.
F.J. Ridruejo, J. Miguel-Alonso, J. Navaridas (2009) Full-System Simulation of Distributed Memory Multicomputers. Cluster Computing. 12(3), 309-322.
D. Otaegui, S. Baranzini, R. Armañanzas, B. Calvo, M. Muñoz-Culla, P. Khankhanian, I. Inza, J. A. Lozano, A. Asensio, T. Castillo-Triviño, J. Olsacoaga, A. López de Munain (2009). Differential micro RNA expression in PBMC from multiple sclerosis patients. PLoS ONE. 4(7), e6309.
B. Calvo, P. Larrañaga and J.A. Lozano (2009). Feature subset selection from positive and unlabelled examples. Pattern Recognition Letters, 30, 1027-1036.
A. Pérez, P. Larrañaga, I. Inza (2009). Bayesian classifiers based on kernel density estimation: Flexible classifiers. International Journal of Approximate Reasoning, 50(2), 341-362.
R. Armañanzas, B. Calvo, I. Inza, M. López-Hoyos, V. Martínez-Taboada, E. Ucar, I. Bernales, A. Fullaondo, P. Larrañaga, A. M. Zubiaga (2009). Microarray analysis of autoimmune diseases by machine learning procedures. IEEE Transactions on Information Technology in Biomedicine, 13(3), 341-350.
J. A. Fernandes, X. Irigoyen, J. A. Lozano, I. Inza (2009). Optimizing the number of classes in automated zooplankton classification. Journal of Plankton Research, 31(1), 19-29.

2008

R. Santana, P. Larrañaga and J. A. Lozano (2008) Research topics in discrete estimation of distribution algorithms. Memetic Computing. 1(1). 35-54.
M. Guid, A. Pérez, I. Bratko (2008). How trustworthy is crafty's analysis of world chess champions?. International Computer Games Association Journal, 31(3), 131-144.
A. Sáenz, M. Azpitarte, R. Armañanzas, F. Leturcq, A. Alzualde, I. Inza, F. García-Bragado, G. De la Herran, J. Corcuera, A. Cabello, C. Navarro, C. De la Torre, E. Gallardo, I. Illa, A. López de Munain (2008) Gene expression profiling in limb-girdle muscular dystrophy 2A. PLoS ONE, 3(11), e3750.
D.A. Morales, E. Bengoetxea , P. Larrañaga (2008) Selection of human embryos for transfer by Bayesian classifiers. Computers in Biology and Medicine, 38 (11-12), 1177-1186.
R. Armañanzas, I. Inza, R. Santana, Y. Saeys, J. L. Flores, J. A. Lozano, Y. Van de Peer, R. Blanco, V. Robles, C. Bielza, P. Larrañaga (2008) A review of estimation of distribution algorithms in bioinformatics. BioData Mining, 1:6.
S. J. Furney, B. Calvo, P. Larrañaga, J. A. Lozano, N. López-Bigas (2008) Prioritization of candidate cancer genes - an aid to oncogenomic studies. Nucleic Acids Research. 36(18), e115.
R. Armañanzas, I. Inza, P. Larrañaga (2008) Detecting reliable gene interactions by a hierarchy of Bayesian network classifiers. Computer Methods and Programs in Biomedicine , 91(2), 110-121.
G. Santafé, J. A. Lozano, P. Larrañaga (2008) Inference of Population Structure Using Genetic Markers and a Bayesian Model Averaging Approach for Clustering. Journal of Computational Biology, 15(2), 207-220.
I. Zipitria, P. Larrañaga, R. Armañanzas, A. Arruarte, J.A. Elorriaga (2008) What Is Behind a Summary Evaluation Decision? Behavior Research Methods, 40(2), 597-612.
D.A. Morales, E. Bengoetxea, P. Larrañaga, M. García, Y. Franco, M. Fresnada, M. Merino. (2008) Bayesian Classification for the Selection of In-Vitro Human Embryos Using Morphological and Clinical Data. Computer Methods and Programs in Biomedicine, 90, 104-116.
R. Sagarna, J.A. Lozano (2008). Dynamic Search Space Transformations for Software Test Data Generation. Computational Intelligence, 24(1), 23-61.
R. Santana, P. Larrañaga and J. A. Lozano (2008) Protein folding in simplified models with estimation of distribution algorithms. IEEE Transactions On Evolutionary Computation. Vol. 12. No. 4. Pp. 418-438.
R. Santana, P. Larrañaga and J. A. Lozano (2008) Combining variable neighborhood search and estimation of distribution algorithms in the protein side placement problem. Journal of Heuristics. Vol. 14. Pp. 519-547.
J. Miguel-Alonso, C. Izu, J.A. Gregorio (2008) Improving the performance of large interconnection networks using congestion-control mechanisms. Performance Evaluation 65(3-4): 203-211.

2007

T. Miquélez, E. Bengoetxea, A. Mendiburu, P. Larrañaga (2007) Combining Bayesian classifiers and estimation of distribution algorithms for optimization in continuous domains. Connection Science, 19(4), 297-319.
Y. Saeys, I. Inza, P. Larrañaga (2007) A review of feature selection techniques in bioinformatics. Bioinformatics, 23, 2507-2517.
B. Calvo, J. A. Lozano and P. Larrañaga (2007) Learning Bayesian classifiers from positive and unlabeled examples. Pattern Recognition Letters, 28(16), 2375-2384.
B. Calvo, N. López-Bigas, S.J. Fureny, P. Larrañaga and J.A. Lozano (2007) A partially supervised classification approach to dominant and recessive human disease gene prediction. Computer Methods and Programs in Biomedicine, 85(3), 229-237.
J.L. Flores, I. Inza, P. Larrañaga (2007) Wrapper discretization by means of estimation of distribution algorithms. Intelligent Data Analysis Journal, 11(5), 525-545.
R. Santana, P. Larrañaga, and J. A. Lozano (2007) Side chain placement using estimation of distribution algorithms. Artificial Intelligence in Medicine, 39(1), 49-63.

2006

G. Santafé, J. A. Lozano, P. Larrañaga (2006) Bayesian model averaging of naive Bayes for clustering. IEEE Transactions on Systems, Man, and Cybernetics - Part B, 36(5), 1149-1161.
G. Santafé, J. A. Lozano, P. Larrañaga (2006) Aprendizaje discriminativo de clasificadores Bayesianos. Revista Iberoamericana de Inteligencia Artificial, 29(10), 39-47.
P. Larrañaga, B. Calvo, R. Santana, C. Bielza, J. Galdiano, I. Inza, J. A. Lozano, R. Armañanzas, G. Santafé, A. Perez, V. Robles. (2006) Machine learning in bioinformatics. Briefings in Bioinformatics, 7(1), 86-112.
A. Mendiburu, J. Miguel-Alonso, J. A. Lozano, M. Ostra, C. Ubide (2006) Parallel EDAs to create multivariate calibration models for quantitative chemical applications. Journal of Parallel and Distributed Computing, 66(8), 1002-1013.
A. Mendiburu, J. Miguel-Alonso, J. A. Lozano (2006) Implementation and Performance evaluation of a parallelization of Estimation of Bayesian Network Algorithms. Parallel Processing Letters, 16(1), 133-148.
A. Pérez, P. Larrañaga, I. Inza (2006) Supervised classification with conditional Gaussian networks: Increasing the structure complexity from naive Bayes. International Journal of Approximate Reasoning, 43, 1-25.
R. Sagarna, J.A. Lozano (2006) Scatter search in software testing, comparison and collaboration with Estimation of Distribution Algorithms. European Journal of Operational Research, 169(2), 392-412.

2005

P. Larrañaga, J.A. Lozano, J.M. Peña, I. Inza (guest editors) (2005) Special Issue on Probabilistic Graphical Models for Classification. Machine Learning, 59(3).
R. Santana (2005) Estimation of distribution algorithms with Kikuchi approximations. Evolutionary Computation, 13(1):67-97.
Y. M. Alvarez-Ginarte, R. Crespo, L. A. Montero-Cabrera, J. A. Ruiz-García, Y. M. Ponce, R. Santana, E. Pardillo-Fontdevila, E. Alonso-Becerra (2005) A novel in-silico approach for QSAR studies of anabolic and androgenic activities in the 17-hydroxy-5-androstane steroid family. QSAR & Combinatorial Science, 4:218-226.
A. Mendiburu, J.A. Lozano, J. Miguel-Alonso (2005) Parallel implementation of EDAs based on probabilistic graphical models. IEEE Transactions On Evolutionary Computation, 9(4), 406-423.
R. Blanco, I. Inza, M. Merino, J. Quiroga, P. Larrañaga (2005) Feature selection in Bayesian classifiers for the prognosis of survival of cirrhotic patients treated with TIPS. Journal of Biomedical Informatics, 38(5), 376-388.
J.M. Peña, J.A. Lozano, P. Larrañaga (2005) Globally multimodal problem optimization via an Estimation of Distribution Algorithm based on unsupervised learning of Bayesian networks. Evolutionary Computation, 13(1), 43-66.
R. Sagarna, J.A. Lozano (2005) On the performance of Estimation of Distribution Algorithms applied to software testing. Applied Artificial Intelligence, 19(5), 457-489.

2004

T. Romero, P. Larrañaga, B. Sierra (2004) Learning Bayesian networks in the space of orderings with estimation of distribution algorithms. International Journal of Pattern Recognition and Artificial Intelligence, 18(4), 607-625.
T. Miquélez, E. Bengoetxea, P. Larrañaga (2004) Evolutionary computation based on Bayesian classifiers. International Journal of Applied Mathematics and Computer Science, 14(3), 101-115.
I. Inza, P. Larrañaga, R. Blanco, A.J. Cerrolaza (2004) Filter versus wrapper gene selection approaches in DNA microarray domains. Artificial Intelligence in Medicine, special issue in "Data mining in genomics and proteomics", vol. 31, issue 2, 91-103.
V. Robles, P. Larrañaga, J.M. Peña, E. Menasalvas, M.S. Pérez, V. Herves (2004) Bayesian networks as consensed voting system in the construction of a multi-classifier for protein secondary structure prediction. Artificial Intelligence in Medicine, special issue in "Data mining in genomics and proteomics", vol. 31, issue 2, 117-136.
R. Blanco, P. Larrañaga, I. Inza, B. Sierra (2004) Gene selection for cancer classification using wrapper approaches. International Journal of Pattern Recognition and Artificial Intelligence, 18(8), 1373-1390.
J.M. Peña, J.A. Lozano, P. Larrañaga (2004) Unsupervised learning of Bayesian networks via estimation of distribution algorithms: an application to gene expression data clustering. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 12 (1), 63-82.

2003

P. Larrañaga, J.A. Lozano, H. Mühlenbein (2003) Algoritmos de estimación de distribuciones en problemas de optimización combinatoria. Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial, 19(2), 149-168.
R. Blanco, I. Inza, P. Larrañaga (2003) Learning Bayesian networks in the space of structures by estimation of distribution algorithms. International Journal of Intelligent Systems, 18, 205-220.

2002

P. Larrañaga, J.A. Lozano (2002) Synergies between evolutionary computation and probabilistic graphical models. International Journal of Approximate Reasoning, 31, 155-156.
C. González, J.A. Lozano, P. Larrañaga (2002) Mathematical modelling of UMDAc algorithm with tournament selection. Behaviour on linear and quadratic functions. International Journal of Approximate Reasoning, 31(3), 313-340.
J. M. Peña, J. A. Lozano, P. Larrañaga (2002) Learning recursive Bayesian multinets for clustering by means of constructive induction. Machine Learning, 47(1), 63-90.
E. Bengoetxea, P. Larrañaga, I. Bloch, A. Perchant, C. Boeres (2002) Learning and simulation of Bayesian networks applied to inexact graph matching. Pattern Recognition, 35(12), 2867-2880.
I. Inza, B. Sierra, R. Blanco, P. Larrañaga (2002) Gene selection by sequential wrapper approaches in microarray cancer class prediction. Journal of Intelligent and Fuzzy Systems, 12(1), 25-34.

2001

J. M. Peña, J. A. Lozano, P. Larrañaga (2001) Performance evaluation of compromise conditional Gaussian networks for data clustering. International Journal of Approximate Reasoning, 28(1), 23-50.
J. M. Peña, J. A. Lozano, P. Larrañaga, I. Inza (2002) Dimensionality reduction in unsupervised learning of conditional Gaussian networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(6), 590-603.
B.Sierra, N. Serrano, P.Larranaga, E.J. Plasencia, I. Inza, J.J. Jiménez, P. Revuelta, M.L. Mora (2001) Using Bayesian networks in the construction of a bi-level multi-classifier. Artificial Intelligence in Medicine, 22, 233-248.
I. Inza, M. Merino, P. Larrañaga, J. Quiroga, B. Sierra, M. Girala (2001) Feature subset selection by genetic algorithms and Estimation of Distribution Algorithms. A case study in the survival of cirrhotic patients treated with TIPS. Artificial Intelligence in Medicine, 23/2, 187-205.
I. Inza, P. Larrañaga, B. Sierra (2001) Feature subset selection by Bayesian networks: a comparison with genetic and sequential algorithms. International Journal of Approximate Reasoning, 27/2,143-164.

2000

C. González, J.A. Lozano, P. Larrañaga (2000) Analyzing the PBIL algorithm by means of discrete dynamical systems. Complex Systems, 12(4), 465-479.
J.M. Peña, J.A. Lozano, P. Larrañaga. (2000) An improved Bayesian structural EM algorithm for learning Bayesian networks for clustering. Pattern Recognition Letters, 21(8), 779-786.
I. Inza, P. Larrañaga, R. Etxeberria, B. Sierra. (2000) Feature subset selection by Bayesian networks based optimization. Artificial Intelligence, 123(1-2), 157-184.

Before 2000

J.M. Peña, J.A. Lozano, P. Larrañaga (1999) Learning Bayesian networks for clustering by means of constructive induction. Pattern Recognition Letters, 20 (11-13), 1219-1230.
I. Inza, P. Larrañaga, B. Sierra, R. Etxeberria, J.A. Lozano, J.M. Peñ (1999) Representing the joint behaviour of machine learning inducers by Bayesian networks. Pattern Recognition Letters, 20 (11-13), 1201-1209.
J. M. Peña, J. A. Lozano, P. Larrañaga (1999) An empirical comparison of four initialization methods for the k-means algorithm. Pattern Recognition Letters, 20 (10), 1027-1040.
J. A. Lozano, P. Larrañaga (1999) Applying genetic algorithms to search for the best hierarchical clustering of a dataset. Pattern Recognition Letters, 20 (9), 911-918.
J. A. Lozano, P. Larrañaga, M. Graña, F. X. Albizuri (1999) Genetic algorithms: bridging the convergence gap. Theoretical Computer Science, 229, 11-22.
P. Larrañaga, C. Kuijpers, R. Murga, I. Inza, S. Dizdarevich (1999) Evolutionary algorithms for the travelling salesman problem: A review of representations and operators. Artificial Intelligence Review, 13, 129-170.
B. Sierra, P. Larrañaga (1998) Predicting the survival in malignant skin melanoma using Bayesian networks automatically induced by genetic algorithms. An empirical comparision between different approaches. Artificial Intelligence in Medicine, Vol. 14, Nos. 1, 2, 215-230.
J. A. Lozano, P. Larrañaga (1998) Aplicación de los algoritmos genéticos al problema del clustering jerárquico. Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial, No. 5, 62-67.
P. Larrañaga, C. Kuijpers, M. Poza, R. Murga (1997) Decomposing Bayesian networks by genetic algorithms. Statistics and Computing, Vol. 7. No. 1, 19-34.
C. Kuijpers, P. Larrañaga, I. Inza, S. Dizdarevic (1997) Algoritmo genetikoak saltzaile bidaiaren probleman. Gipuzkoako bira egokiaren atzetik. Elhuyar, Vol. 22. No. 2, 10-30.
R. Etxeberria, P. Larrañaga, J.M. Pikaza (1997) Analysis of the behaviour of the genetic algorithms when searching Bayesian networks from data. Pattern Recognition Letters, Vol. 18, No. 11-13, 1269-1273.
P. Larrañaga, C. Kuijpers, R. Murga, Y. Yurramendi (1996) Learning Bayesian network structures by searching for the best ordering with genetic algorithms. IEEE Transactions on System, Man and Cybernetics, Vol 26. No. 4, 487-493.
P. Larrañaga, M. Poza, Y. Yurramendi, R. Murga, C. Kuijpers (1996) Structure learning of Bayesian networks by genetic algorithms: A performance analysis of control parameters. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 18. No. 9, 912-926.
P. Larrañaga, J. L. Jiménez, M. Alkorta, J. A. Diego, E. Arnaiz (1994) Aplicación de la clasificación automática en la construcción de una tipología de residentes. Proyecto Hombre de Gipuzkoa. Eguzkilore, No. 8, 39-51.
P. Echániz, P. Larrañaga, J. Arrizabalaga, J. L. Jiménez, J. A. Iribarren, E. Cuadrado (1992) Factores pronósticos en heroinómanos infectados por el VIH: análisis multivariable de factores serológicos inespecíficos en la evolución de la infección. Revista Clínica Española, Vol. 190. No. 8, 422-426.
A. Beristain, P. Larrañaga, J. L. Jiménez (1990) La policía en la Comunidad Autónoma Vasca. Encuesta de opinión realizada por el IVAC-KREI. Eguzkilore, No. 4, 189-202.
J. I. Emparanza, L. Aldámiz-Echevarria, E. G. Perez-Yarza, P. Larrañaga, J. L. Jiménez, M. Labiano, I. Ozcoidi (1988) Prognostic score in acute meningococcemia. Critical Care Medicine, Vol. 16. No. 2, 168-169.
M. Erquicia, P. Larrañaga (1987) Clasificación de los alimentos utilizando métodos estadísticos. Nutrición Clínica y Dietética Hospitalaria, No. 3/87, 15-22.
J. I. Emparanza, M. Labiano, I. Ozcoidi, P. Larrañaga, L. Aldamiz-Echevarria, E. G. Perez-Yarza (1987) Score pronóstico para la sepsis meningocócica infantil. Anales Españoles de Pediatría, 346-346.