Ibai Gurrutxaga

Iñaki Albisua, Olatz Arbelaitz, Ibai Gurrutxaga, Aritz Lasarguren, Javier Muguerza, Jesús M. Pérez: The quest for the optimal class distribution: an approach for enhancing the effectiveness of learning via resampling methods for imbalanced data sets. Progress in AI 2(1): 45-63 (2013)

Olatz Arbelaitz, Ibai Gurrutxaga, Javier Muguerza, Jesús M. Pérez, Iñigo Perona: An extensive comparative study of cluster validity indices. Pattern Recognition 46(1): 243-256 (2013)

Olatz Arbelaitz, Ibai Gurrutxaga, Aizea Lojo, Javier Muguerza, Jesús M. Pérez, Iñigo Perona: Adaptation of the User Navigation Scheme using Clustering and Frequent Pattern Mining Techiques for Profiling. KDIR 2012: 187-192

Olatz Arbelaitz, Ibai Gurrutxaga, Aizea Lojo, Javier Muguerza, Jesús M. Pérez, Iñigo Perona: Enhancing a Web Usage Mining based Tourism Website Adaptation with Content Information. KDIR 2012: 287-292

Ibai Gurrutxaga, Javier Muguerza, Olatz Arbelaitz, Jesús M. Pérez, José Ignacio Martín: Towards a standard methodology to evaluate internal cluster validity indices. Pattern Recognition Letters 32(3): 505-515 (2011)

Iñaki Albisua, Olatz Arbelaitz, Ibai Gurrutxaga, Javier Muguerza, Jesús M. Pérez: C4.5 Consolidation Process: An Alternative to Intelligent Oversampling Methods in Class Imbalance Problems. CAEPIA 2011: 74-83

Olatz Arbelaitz, Ibai Gurrutxaga, Aizea Lojo, Javier Muguerza, Iñigo Perona: SAHN with SEP/COP and SPADE, to Build a General Web Navigation Adaptation System Using Server Log Information. CAEPIA 2011: 413-422

Jesús M. Pérez, Iñaki Albisua, Olatz Arbelaitz, Ibai Gurrutxaga, José Ignacio Martín, Javier Muguerza, Iñigo Perona: Consolidated trees versus bagging when explanation is required. Computing 89(3-4): 113-145 (2010)

Ibai Gurrutxaga, Iñaki Albisua, Olatz Arbelaitz, José Ignacio Martín, Javier Muguerza, Jesús M. Pérez, Iñigo Perona: SEP/COP: An efficient method to find the best partition in hierarchical clustering based on a new cluster validity index. Pattern Recognition 43(10): 3364-3373 (2010)

Iñaki Albisua, Olatz Arbelaitz, Ibai Gurrutxaga, José Ignacio Martín, Javier Muguerza, Jesús M. Pérez, Iñigo Perona: Obtaining Optimal Class Distribution for Decision Trees: Comparative Analysis of CTC and C4.5. CAEPIA 2009: 101-110

Iñigo Perona, Olatz Arbelaitz, Ibai Gurrutxaga, José Ignacio Martín, Javier Muguerza, Jesús M. Pérez: Unsupervised anomaly detection system for Nidis-s based on payload and probabilistic suffix trees. IADIS AC (1) 2009: 11-18

Ibai Gurrutxaga, Olatz Arbelaitz, José Ignacio Martín, Javier Muguerza, Jesús M. Pérez, Iñigo Perona: SIHC: A Stable Incremental Hierarchical Clustering Algorithm. ICEIS (2) 2009: 300-304

Ibai Gurrutxaga, Olatz Arbelaitz, Jesús M. Pérez, Javier Muguerza, José Ignacio Martín, Iñigo Perona: Evaluation of Malware clustering based on its dynamic behaviour. AusDM 2008: 163-170

Iñigo Perona, Ibai Gurrutxaga, Olatz Arbelaitz, José Ignacio Martín, Javier Muguerza, Jesús M. Pérez: Service-independent payload analysis to improve intrusion detection in network traffic. AusDM 2008: 171-178

Jesús M. Pérez, Javier Muguerza, Olatz Arbelaitz, Ibai Gurrutxaga, José Ignacio Martín: Combining multiple class distribution modified subsamples in a single tree. Pattern Recognition Letters 28(4): 414-422 (2007)

Ibai Gurrutxaga, Jesús M. Pérez, Olatz Arbelaitz, Javier Muguerza, José Ignacio Martín, Ander Ansuategi: CTC: An Alternative to Extract Explanation from Bagging. CAEPIA 2007: 90-99

Jesús M. Pérez, Javier Muguerza, Olatz Arbelaitz, Ibai Gurrutxaga, José Ignacio Martín: Consolidated Trees: An Analysis of Structural Convergence. Selected Papers from AusDM 2006: 39-52

Ibai Gurrutxaga, Ander Ansuategi, Olatz Arbelaitz, Jesús M. Pérez, Javier Muguerza, José Ignacio Martín: Comparison of two strategies, CTC and CMM, to combine m classifiers in a single comprehensible one. Industrial Conference on Data Mining - Posters 2006: 6-18

Jesús M. Pérez, Javier Muguerza, Olatz Arbelaitz, Ibai Gurrutxaga, José Ignacio Martín: Consolidated Trees: Classifiers with Stable Explanation. A Model to Achieve the Desired Stability in Explanation. ICAPR (1) 2005: 99-107

Jesús M. Pérez, Javier Muguerza, Olatz Arbelaitz, Ibai Gurrutxaga, José Ignacio Martín: Consolidated Tree Classifier Learning in a Car Insurance Fraud Detection Domain with Class Imbalance. ICAPR (1) 2005: 381-389

Jesús M. Pérez, Javier Muguerza, Olatz Arbelaitz, Ibai Gurrutxaga: Consolidated Tree Construction Algorithm: Structurally Steady Trees. ICEIS (2) 2004: 14-21

Jesús M. Pérez, Javier Muguerza, Olatz Arbelaitz, Ibai Gurrutxaga: A new algorithm to build consolidated trees: study of the error rate and steadiness. Intelligent Information Systems 2004: 79-88

Jesús M. Pérez, Javier Muguerza, Olatz Arbelaitz, Ibai Gurrutxaga, José Ignacio Martín: Behavior of Consolidated Trees when using Resampling Techniques. PRIS 2004: 139-148