Gonzalo Martínez-Muñoz

58 papers A* 2B 6C 4Misc 1Journal 35Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accurate identification of polyps in screening colonoscopies using convolutional neural networks. Medical Biol. Eng. Comput. Hadi Abooei Mehrizi, Gonzalo Martínez-Muñoz, Elham Tabesh
2026	J	`jnl`	Robust multi-task boosting using clustering and local ensembling. CoRR Seyedsaman Emami, Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz
2026	J	`jnl`	Robust-multi-task gradient boosting. Expert Syst. Appl. Seyedsaman Emami, Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato
2025	J	`jnl`	Condensed-gradient boosting. Int. J. Mach. Learn. Cybern. Seyedsaman Emami, Gonzalo Martínez-Muñoz
2025	J	`jnl`	Robust-Multi-Task Gradient Boosting. CoRR Seyedsaman Emami, Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato
2024	J	`jnl`	Deep Learning for Multi-Output Regression Using Gradient Boosting. IEEE Access Seyedsaman Emami, Gonzalo Martínez-Muñoz
2024	J	`jnl`	Feature importance analysis for a highly unbalanced multiple myeloma data classification. Int. J. Medical Eng. Informatics Rima Guilal, Nesma Settouti, Gonzalo Martínez-Muñoz, Mohammed Amine Chikh
2024	J	`jnl`	Video Visualization Profile Analysis in Online Courses. IEEE Trans. Educ. Gonzalo Martínez-Muñoz, Miguel Ángel Álvarez-Rodríguez, Estrella Pulido-Cañabate
2023	J	`jnl`	A Gradient Boosting Approach for Training Convolutional and Deep Neural Networks. CoRR Seyedsaman Emami, Gonzalo Martínez-Muñoz
2023	Misc	`conf`	Multi-Task Gradient Boosting. HAIS Seyedsaman Emami, Carlos Ruiz Pastor, Gonzalo Martínez-Muñoz
2023	J	`jnl`	Sequential Training of Neural Networks With Gradient Boosting. IEEE Access Seyedsaman Emami, Gonzalo Martínez-Muñoz
2022	J	`jnl`	An analysis of heuristic metrics for classifier ensemble pruning based on ordered aggregation. Pattern Recognit. Amgad M. Mohammed, Enrique Onieva, Michal Wozniak, Gonzalo Martínez-Muñoz
2022	J	`jnl`	Building heterogeneous ensembles by pooling homogeneous ensembles. Int. J. Mach. Learn. Cybern. Maryam Sabzevari, Gonzalo Martínez-Muñoz, Alberto Suárez
2022	J	`jnl`	Condensed Gradient Boosting. CoRR Seyedsaman Emami, Gonzalo Martínez-Muñoz
2022	J	`jnl`	Correction to: Building heterogeneous ensembles by pooling homogeneous ensembles. Int. J. Mach. Learn. Cybern. Maryam Sabzevari, Gonzalo Martínez-Muñoz, Alberto Suárez
2022	B	`conf`	Multioutput Regression Neural Network Training via Gradient Boosting. ESANN Seyedsaman Emami, Gonzalo Martínez-Muñoz
2022	—	`conf`	SVM Ensembles on a Budget. ICANN (4) David Nevado, Gonzalo Martínez-Muñoz, Alberto Suárez
2021	J	`jnl`	A comparative analysis of gradient boosting algorithms. Artif. Intell. Rev. Candice Bentéjac, Anna Csörgo, Gonzalo Martínez-Muñoz
2020	C	`conf`	Identifying Cheating Users in Online Courses. EDUCON Vicenzo Abichequer Sangalli, Gonzalo Martínez-Muñoz, Estrella Pulido-Cañabate
2019	J	`jnl`	A Comparative Analysis of XGBoost. CoRR Candice Bentéjac, Anna Csörgo, Gonzalo Martínez-Muñoz
2019	J	`jnl`	Sequential Training of Neural Networks with Gradient Boosting. CoRR Gonzalo Martínez-Muñoz
2018	J	`jnl`	A two-stage ensemble method for the detection of class-label noise. Neurocomputing Maryam Sabzevari, Gonzalo Martínez-Muñoz, Alberto Suárez
2018	J	`jnl`	Pooling homogeneous ensembles to build heterogeneous ensembles. CoRR Maryam Sabzevari, Gonzalo Martínez-Muñoz, Alberto Suárez
2018	—	`conf`	Randomization vs Optimization in SVM Ensembles. ICANN (2) Maryam Sabzevari, Gonzalo Martínez-Muñoz, Alberto Suárez
2018	—	`conf`	Using Bag-of-Little Bootstraps for Efficient Ensemble Learning. ICANN (1) Pablo de Viña, Gonzalo Martínez-Muñoz
2018	J	`jnl`	Vote-boosting ensembles. Pattern Recognit. Maryam Sabzevari, Gonzalo Martínez-Muñoz, Alberto Suárez
2017	—	`conf`	Analysing Event Transitions to Discover Student Roles and Predict Grades in MOOCs. ICANN (2) Ángel Pérez-Lemonche, Gonzalo Martínez-Muñoz, Estrella Pulido-Cañabate
2016	—	`conf`	An urn model for majority voting in classification ensembles. NIPS Víctor Soto, Alberto Suárez, Gonzalo Martínez-Muñoz
2016	J	`jnl`	Vote-boosting ensembles. CoRR Maryam Sabzevari, Gonzalo Martínez-Muñoz, Alberto Suárez
2015	J	`jnl`	Small margin ensembles can be robust to class-label noise. Neurocomputing Maryam Sabzevari, Gonzalo Martínez-Muñoz, Alberto Suárez
2015	J	`jnl`	Special Issue on "Solving complex machine learning problems with ensemble methods". Neurocomputing Daniel Hernández-Lobato, Ioannis Katakis, Gonzalo Martínez-Muñoz, Ioannis Partalas
2015	C	`conf`	Using a SPOC to flip the classroom. EDUCON Gonzalo Martínez-Muñoz, Estrella Pulido
2014	J	`jnl`	A Double Pruning Scheme for Boosting Ensembles. IEEE Trans. Cybern. Víctor Soto, Sergio García-Moratilla, Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato, Alberto Suárez
2014	J	`jnl`	Cluster validation in problems with increasing dimensionality and unbalanced clusters. Neurocomputing Luis Fernando Lago-Fernández, Jesús Aragón, Gonzalo Martínez-Muñoz, Ana M. González, Manuel A. Sánchez-Montañés
2014	B	`conf`	Improving the Robustness of Bagging with Reduced Sampling Size. ESANN Maryam Sabzevari, Gonzalo Martínez-Muñoz, Alberto Suárez
2013	J	`jnl`	How large should ensembles of classifiers be? Pattern Recognit. Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez
2012	—	`conf`	Evaluation of Negentropy-based Cluster Validation Techniques in Problems with Increasing Dimensionality. ICPRAM (1) Luis Fernando Lago-Fernández, Gonzalo Martínez-Muñoz, Ana M. González, Manuel A. Sánchez-Montañés
2012	B	`conf`	On the Independence of the Individual Predictions in Parallel Randomized Ensembles. ESANN Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez
2011	B	`conf`	A comparison of techniques for robust gender recognition. ICIP Richard N. Rojas-Bello, Luis Fernando Lago-Fernández, Gonzalo Martínez-Muñoz, Manuel A. Sánchez-Montañés
2011	J	`jnl`	Empirical analysis and evaluation of approximate techniques for pruning regression bagging ensembles. Neurocomputing Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez
2011	J	`jnl`	Inference on the prediction of ensembles of infinite size. Pattern Recognit. Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez
2010	—	`conf`	A Double Pruning Algorithm for Classification Ensembles. MCS Víctor Soto, Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato, Alberto Suárez
2010	B	`conf`	Haar Random Forest Features and SVM Spatial Matching Kernel for Stonefly Species Identification. ICPR Natalia Larios, Bilge Soran, Linda G. Shapiro, Gonzalo Martínez-Muñoz, Junyuan Lin, Thomas G. Dietterich
2010	J	`jnl`	Out-of-bag estimation of the optimal sample size in bagging. Pattern Recognit. Gonzalo Martínez-Muñoz, Alberto Suárez
2009	J	`jnl`	An Analysis of Ensemble Pruning Techniques Based on Ordered Aggregation. IEEE Trans. Pattern Anal. Mach. Intell. Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato, Alberto Suárez
2009	A*	`conf`	Dictionary-free categorization of very similar objects via stacked evidence trees. CVPR Gonzalo Martínez-Muñoz, Natalia Larios Delgado, Eric N. Mortensen, Wei Zhang, Asako Yamamuro, Robert Paasch, Nadia Payet, David A. Lytle, Linda G. Shapiro, Sinisa Todorovic, Andrew Moldenke, Thomas G. Dietterich
2009	—	`conf`	Statistical Instance-Based Ensemble Pruning for Multi-class Problems. ICANN (1) Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato, Alberto Suárez
2009	J	`jnl`	Statistical Instance-Based Pruning in Ensembles of Independent Classifiers. IEEE Trans. Pattern Anal. Mach. Intell. Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez
2008	J	`jnl`	Class-switching neural network ensembles. Neurocomputing Gonzalo Martínez-Muñoz, Aitor Sánchez-Martínez, Daniel Hernández-Lobato, Alberto Suárez
2007	C	`conf`	Out of Bootstrap Estimation of Generalization Error Curves in Bagging Ensembles. IDEAL Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez
2007	—	`conf`	Selection of Decision Stumps in Bagging Ensembles. ICANN (1) Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato, Alberto Suárez
2007	J	`jnl`	Using boosting to prune bagging ensembles. Pattern Recognit. Lett. Gonzalo Martínez-Muñoz, Alberto Suárez
2006	—	`conf`	Building Ensembles of Neural Networks with Class-Switching. ICANN (1) Gonzalo Martínez-Muñoz, Aitor Sánchez-Martínez, Daniel Hernández-Lobato, Alberto Suárez
2006	C	`conf`	Evaluation of Decision Tree Pruning with Subadditive Penalties. IDEAL Sergio García-Moratilla, Gonzalo Martínez-Muñoz, Alberto Suárez
2006	B	`conf`	Pruning in Ordered Regression Bagging Ensembles. IJCNN Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez
2006	A*	`conf`	Pruning in ordered bagging ensembles. ICML Gonzalo Martínez-Muñoz, Alberto Suárez
2005	J	`jnl`	Switching class labels to generate classification ensembles. Pattern Recognit. Gonzalo Martínez-Muñoz, Alberto Suárez
2004	J	`jnl`	Using all data to generate decision tree ensembles. IEEE Trans. Syst. Man Cybern. Part C Gonzalo Martínez-Muñoz, Alberto Suárez