César Ignacio García-Osorio

48 papers B 4C 2Misc 1Journal 26Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Collaborative Platform for Soil Organic Carbon Inference Based on Spatiotemporal Remote Sensing Data. CoRR Jose Manuel Aroca-Fernandez, José-Francisco Díez-Pastor, Pedro Latorre-Carmona, Victor Elvira, Gustau Camps-Valls, Rodrigo Pascual, César Ignacio García-Osorio
2025	J	`jnl`	SSLearn: A Semi-Supervised Learning library for Python. SoftwareX José Luis Garrido-Labrador, Jesús Manuel Maudes Raedo, Juan José Rodríguez, César Ignacio García-Osorio
2025	J	`jnl`	Using Machine Learning on MRI Radiomics to Diagnose Parotid Tumours Before Comparing Performance with Radiologists: A Pilot Study. J. Imaging Inform. Medicine Samy Ammari, Arnaud Quillent, Víctor Elvira, François Bidault, César Ignacio García-Osorio, Dana M. Hartl, Corinne Balleyguier, Nathalie Lassau, Émilie Chouzenoux
2022	J	`jnl`	Defect detection and segmentation in X-Ray images of magnesium alloy castings using the Detectron2 framework. CoRR Francisco Javier Yagüe, José-Francisco Díez-Pastor, Pedro Latorre-Carmona, César Ignacio García-Osorio
2022	J	`jnl`	Nonlinear physics opens a new paradigm for accurate transcription start site prediction. BMC Bioinform. José Antonio Barbero-Aparicio, Santiago Cuesta-López, César Ignacio García-Osorio, Javier Pérez-Rodríguez, Nicolás García-Pedrajas
2022	Misc	`conf`	Proposal of a Comparative Framework for Face Super-Resolution Algorithms in Forensics. IbPRIA Antonio Salguero-Cruz, Pedro Latorre-Carmona, César Ignacio García-Osorio
2016	J	`jnl`	Fusion of instance selection methods in regression tasks. Inf. Fusion Álvar Arnaiz-González, Marcin Blachnik, Miroslaw Kordos, César Ignacio García-Osorio
2016	J	`jnl`	Instance selection for regression by discretization. Expert Syst. Appl. Álvar Arnaiz-González, José-Francisco Díez-Pastor, Juan José Rodríguez Diez, César Ignacio García-Osorio
2016	J	`jnl`	Instance selection for regression: Adapting DROP. Neurocomputing Álvar Arnaiz-González, José-Francisco Díez-Pastor, Juan José Rodríguez Diez, César Ignacio García-Osorio
2016	J	`jnl`	Instance selection of linear complexity for big data. Knowl. Based Syst. Álvar Arnaiz-González, José-Francisco Díez-Pastor, Juan José Rodríguez, César Ignacio García-Osorio
2016	J	`jnl`	Random feature weights for regression trees. Prog. Artif. Intell. Álvar Arnaiz-González, José-Francisco Díez-Pastor, César Ignacio García-Osorio, Juan José Rodríguez Diez
2015	—	`conf`	An Experimental Study on Combining Binarization Techniques and Ensemble Methods of Decision Trees. MCS Juan José Rodríguez Diez, José-Francisco Díez-Pastor, Álvar Arnaiz-González, César Ignacio García-Osorio
2015	J	`jnl`	Diversity techniques improve the performance of the best imbalance learning ensembles. Inf. Sci. José-Francisco Díez-Pastor, Juan José Rodríguez, César Ignacio García-Osorio, Ludmila I. Kuncheva
2015	J	`jnl`	Random Balance: Ensembles of variable priors classifiers for imbalanced data. Knowl. Based Syst. José-Francisco Díez-Pastor, Juan José Rodríguez Diez, César Ignacio García-Osorio, Ludmila I. Kuncheva
2014	J	`jnl`	Tree ensemble construction using a GRASP-based heuristic and annealed randomness. Inf. Fusion José-Francisco Díez-Pastor, César Ignacio García-Osorio, Juan José Rodríguez Diez
2013	J	`jnl`	Boosting for class-imbalanced datasets using genetically evolved supervised non-linear projections. Prog. Artif. Intell. Nicolás García-Pedrajas, César Ignacio García-Osorio
2013	C	`conf`	Imbalanced Learning Ensembles for Defect Detection in X-Ray Images. IEA/AIE José-Francisco Díez-Pastor, César Ignacio García-Osorio, Víctor Barbero-García, Alan Blanco-Álamo
2013	—	`conf`	Random Oracle Ensembles for Imbalanced Data. MCS Juan José Rodríguez Diez, José-Francisco Díez-Pastor, César Ignacio García-Osorio
2013	J	`jnl`	Rotation Forests for regression. Appl. Math. Comput. Carlos Pardo, José-Francisco Díez-Pastor, César Ignacio García-Osorio, Juan José Rodríguez Diez
2012	J	`jnl`	Boosting Projections to improve surface roughness prediction in high-torque milling operations. Soft Comput. José-Francisco Díez-Pastor, Andrés Bustillo, Guillem Quintana, César Ignacio García-Osorio
2012	—	`conf`	Disturbing Neighbors Ensembles of Trees for Imbalanced Data. ICMLA (2) Juan José Rodríguez Diez, José-Francisco Díez-Pastor, Jesús Maudes, César Ignacio García-Osorio
2012	—	`conf`	Linear Projection Methods - An Experimental Study for Regression Problems. ICPRAM (1) Carlos Pardo-Aguilar, José-Francisco Díez-Pastor, Nicolás García-Pedrajas, Juan José Rodríguez Diez, César Ignacio García-Osorio
2012	J	`jnl`	Random feature weights for decision tree ensemble construction. Inf. Fusion Jesús Maudes, Juan J. Rodríguez Diez, César Ignacio García-Osorio, Nicolás García-Pedrajas
2012	J	`jnl`	Supervised subspace projections for constructing ensembles of classifiers. Inf. Sci. Nicolás García-Pedrajas, Jesús Manuel Maudes Raedo, César Ignacio García-Osorio, Juan José Rodríguez Diez
2011	J	`jnl`	Constructing ensembles of classifiers using supervised projection methods based on misclassified instances. Expert Syst. Appl. Nicolás García-Pedrajas, César Ignacio García-Osorio
2011	—	`conf`	Ensembles of Decision Trees for Imbalanced Data. MCS Juan José Rodríguez, José-Francisco Díez-Pastor, César Ignacio García-Osorio
2011	—	`conf`	GRASP Forest: A New Ensemble Method for Trees. MCS José-Francisco Díez-Pastor, César Ignacio García-Osorio, Juan José Rodríguez, Andrés Bustillo
2011	—	`ch.`	Random Oracles for Regression Ensembles. Ensembles in Machine Learning Applications Carlos Pardo, Juan J. Rodríguez Diez, José-Francisco Díez-Pastor, César Ignacio García-Osorio
2011	J	`jnl`	Random projections for linear SVM ensembles. Appl. Intell. Jesús Maudes, Juan J. Rodríguez Diez, César Ignacio García-Osorio, Carlos Pardo
2011	—	`conf`	Using Model Trees and Their Ensembles for Imbalanced Data. CAEPIA Juan J. Rodríguez Diez, José-Francisco Díez-Pastor, César Ignacio García-Osorio, Pedro Santos
2010	—	`conf`	An Empirical Study of Multilayer Perceptron Ensembles for Regression Tasks. IEA/AIE (2) Carlos Pardo, Juan José Rodríguez, César Ignacio García-Osorio, Jesús Maudes
2010	—	`conf`	An Experimental Study on Ensembles of Functional Trees. MCS Juan José Rodríguez, César Ignacio García-Osorio, Jesús Maudes, José-Francisco Díez-Pastor
2010	J	`jnl`	Democratic instance selection: A linear complexity instance selection algorithm based on classifier ensemble concepts. Artif. Intell. César Ignacio García-Osorio, Aida de Haro-García, Nicolás García-Pedrajas
2010	J	`jnl`	Forests of nested dichotomies. Pattern Recognit. Lett. Juan José Rodríguez, César Ignacio García-Osorio, Jesús Maudes
2010	C	`ed.`	Intelligent Data Engineering and Automated Learning - IDEAL 2010, 11th International Conference, Paisley, UK, September 1-3, 2010. Proceedings IDEAL Colin Fyfe, Peter Tiño, Darryl Charles, César Ignacio García-Osorio, Hujun Yin
2010	—	`conf`	Random Projections for SVM Ensembles. IEA/AIE (2) Jesús Maudes, Juan José Rodríguez, César Ignacio García-Osorio, Carlos Pardo
2009	—	`ch.`	Disturbing Neighbors Diversity for Decision Forests. Applications of Supervised and Unsupervised Ensemble Methods Jesús Maudes, Juan J. Rodríguez Diez, César Ignacio García-Osorio
2009	—	`conf`	Disturbing Neighbors Ensembles for Linear SVM. MCS Jesús Maudes, Juan José Rodríguez, César Ignacio García-Osorio
2008	B	`conf`	A tool for teaching LL and LR parsing algorithms. ITiCSE César Ignacio García-Osorio, Carlos Gómez-Palacios, Nicolás García-Pedrajas
2008	B	`conf`	Constructing ensembles of classifiers using linear projections based on misclassified instances. ESANN César Ignacio García-Osorio, Nicolás García-Pedrajas
2008	—	`conf`	License Plate Number Recognition - New Heuristics and a Comparative Study of Classifiers. ICINCO-RA (1) César Ignacio García-Osorio, José-Francisco Díez-Pastor, Juan José Rodríguez, Jesús Maudes
2008	B	`conf`	Teaching push-down automata and turing machines. ITiCSE César Ignacio García-Osorio, Iñigo Mediavilla-Sáiz, Javier Jimeno-Visitación, Nicolás García-Pedrajas
2007	—	`conf`	Cascading for Nominal Data. MCS Jesús Maudes, Juan José Rodríguez, César Ignacio García-Osorio
2007	J	`jnl`	Nonlinear Boosting Projections for Ensemble Construction. J. Mach. Learn. Res. Nicolás García-Pedrajas, César Ignacio García-Osorio, Colin Fyfe
2005	J	`jnl`	Regaining sparsity in kernel principal components. Neurocomputing César Ignacio García-Osorio, Colin Fyfe
2005	J	`jnl`	The combined use of self-organizing maps and andrews' curves. Int. J. Neural Syst. César Ignacio García-Osorio, Colin Fyfe
2005	J	`jnl`	Visualization of High-dimensional Data via Orthogonal Curves. J. Univers. Comput. Sci. César Ignacio García-Osorio, Colin Fyfe
2004	B	`conf`	Using Andrews Curves for Clustering and Sub-clustering Self-Organizing Maps. ESANN César Ignacio García-Osorio, Jesús Maudes, Colin Fyfe