César Ignacio García-Osorio

Publication Activity (10 Years)

Years Active: 2004-2022
Publications (10 Years): 8

Top Topics

Instance Selection

Regression Trees

Ensemble Methods

Class Imbalanced

Top Venues

Knowl. Based Syst.

Prog. Artif. Intell.

Publications

José Antonio Barbero-Aparicio, Santiago Cuesta-López, César Ignacio García-Osorio, Javier Pérez-Rodríguez, Nicolás García-Pedrajas
Nonlinear physics opens a new paradigm for accurate transcription start site prediction. BMC Bioinform. 23 (1) (2022)
Francisco Javier Yagüe, José-Francisco Díez-Pastor, Pedro Latorre Carmona, César Ignacio García-Osorio
Defect detection and segmentation in X-Ray images of magnesium alloy castings using the Detectron2 framework. CoRR (2022)
Antonio Salguero-Cruz, Pedro Latorre Carmona, César Ignacio García-Osorio
Proposal of a Comparative Framework for Face Super-Resolution Algorithms in Forensics. IbPRIA (2022)
Álvar Arnaiz-González, José-Francisco Díez-Pastor, Juan José Rodríguez Diez, César Ignacio García-Osorio
Instance selection for regression by discretization. Expert Syst. Appl. 54 (2016)
Álvar Arnaiz-González, José-Francisco Díez-Pastor, César Ignacio García-Osorio, Juan José Rodríguez Diez
Random feature weights for regression trees. Prog. Artif. Intell. 5 (2) (2016)
Álvar Arnaiz-González, Marcin Blachnik, Miroslaw Kordos, César Ignacio García-Osorio
Fusion of instance selection methods in regression tasks. Inf. Fusion 30 (2016)
Álvar Arnaiz-González, José-Francisco Díez-Pastor, Juan José Rodríguez, César Ignacio García-Osorio
Instance selection of linear complexity for big data. Knowl. Based Syst. 107 (2016)
Álvar Arnaiz-González, José-Francisco Díez-Pastor, Juan José Rodríguez Diez, César Ignacio García-Osorio
Instance selection for regression: Adapting DROP. Neurocomputing 201 (2016)
José-Francisco Díez-Pastor, Juan José Rodríguez Diez, César Ignacio García-Osorio, Ludmila I. Kuncheva
Random Balance: Ensembles of variable priors classifiers for imbalanced data. Knowl. Based Syst. 85 (2015)
Juan José Rodríguez Diez, José-Francisco Díez-Pastor, Álvar Arnaiz-González, César Ignacio García-Osorio
An Experimental Study on Combining Binarization Techniques and Ensemble Methods of Decision Trees. MCS (2015)
José-Francisco Díez-Pastor, Juan José Rodríguez, César Ignacio García-Osorio, Ludmila I. Kuncheva
Diversity techniques improve the performance of the best imbalance learning ensembles. Inf. Sci. 325 (2015)
José-Francisco Díez-Pastor, César Ignacio García-Osorio, Juan José Rodríguez Diez
Tree ensemble construction using a GRASP-based heuristic and annealed randomness. Inf. Fusion 20 (2014)
Nicolás García-Pedrajas, César Ignacio García-Osorio
Boosting for class-imbalanced datasets using genetically evolved supervised non-linear projections. Prog. Artif. Intell. 2 (1) (2013)
José-Francisco Díez-Pastor, César Ignacio García-Osorio, Víctor Barbero-García, Alan Blanco-Álamo
Imbalanced Learning Ensembles for Defect Detection in X-Ray Images. IEA/AIE (2013)
Carlos Pardo, José-Francisco Díez-Pastor, César Ignacio García-Osorio, Juan José Rodríguez Diez
Rotation Forests for regression. Appl. Math. Comput. 219 (19) (2013)
Juan José Rodríguez Diez, José-Francisco Díez-Pastor, César Ignacio García-Osorio
Random Oracle Ensembles for Imbalanced Data. MCS (2013)
Nicolás García-Pedrajas, Jesús Manuel Maudes Raedo, César Ignacio García-Osorio, Juan José Rodríguez Diez
Supervised subspace projections for constructing ensembles of classifiers. Inf. Sci. 193 (2012)
José-Francisco Díez-Pastor, Andrés Bustillo, Guillem Quintana, César Ignacio García-Osorio
Boosting Projections to improve surface roughness prediction in high-torque milling operations. Soft Comput. 16 (8) (2012)
Carlos Pardo-Aguilar, José-Francisco Díez-Pastor, Nicolás García-Pedrajas, Juan José Rodríguez Diez, César Ignacio García-Osorio
Linear Projection Methods - An Experimental Study for Regression Problems. ICPRAM (1) (2012)
Juan José Rodríguez Diez, José-Francisco Díez-Pastor, Jesús Maudes, César Ignacio García-Osorio
Disturbing Neighbors Ensembles of Trees for Imbalanced Data. ICMLA (2) (2012)
Jesús Maudes, Juan J. Rodríguez Diez, César Ignacio García-Osorio, Nicolás García-Pedrajas
Random feature weights for decision tree ensemble construction. Inf. Fusion 13 (1) (2012)
Jesús Maudes, Juan J. Rodríguez Diez, César Ignacio García-Osorio, Carlos Pardo
Random projections for linear SVM ensembles. Appl. Intell. 34 (3) (2011)
Juan José Rodríguez, José-Francisco Díez-Pastor, César Ignacio García-Osorio
Ensembles of Decision Trees for Imbalanced Data. MCS (2011)
Juan J. Rodríguez Diez, José-Francisco Díez-Pastor, César Ignacio García-Osorio, Pedro Santos
Using Model Trees and Their Ensembles for Imbalanced Data. CAEPIA (2011)
Nicolás García-Pedrajas, César Ignacio García-Osorio
Constructing ensembles of classifiers using supervised projection methods based on misclassified instances. Expert Syst. Appl. 38 (1) (2011)
José-Francisco Díez-Pastor, César Ignacio García-Osorio, Juan José Rodríguez, Andrés Bustillo
GRASP Forest: A New Ensemble Method for Trees. MCS (2011)
Juan José Rodríguez, César Ignacio García-Osorio, Jesús Maudes
Forests of nested dichotomies. Pattern Recognit. Lett. 31 (2) (2010)
Carlos Pardo, Juan José Rodríguez, César Ignacio García-Osorio, Jesús Maudes
An Empirical Study of Multilayer Perceptron Ensembles for Regression Tasks. IEA/AIE (2) (2010)
Juan José Rodríguez, César Ignacio García-Osorio, Jesús Maudes, José-Francisco Díez-Pastor
An Experimental Study on Ensembles of Functional Trees. MCS (2010)
Jesús Maudes, Juan José Rodríguez, César Ignacio García-Osorio, Carlos Pardo
Random Projections for SVM Ensembles. IEA/AIE (2) (2010)
César Ignacio García-Osorio, Aida de Haro-García, Nicolás García-Pedrajas
Democratic instance selection: A linear complexity instance selection algorithm based on classifier ensemble concepts. Artif. Intell. 174 (5-6) (2010)
Jesús Maudes, Juan José Rodríguez, César Ignacio García-Osorio
Disturbing Neighbors Ensembles for Linear SVM. MCS (2009)
César Ignacio García-Osorio, José-Francisco Díez-Pastor, Juan José Rodríguez, Jesús Maudes
License Plate Number Recognition - New Heuristics and a Comparative Study of Classifiers. ICINCO-RA (1) (2008)
César Ignacio García-Osorio, Nicolás García-Pedrajas
Constructing ensembles of classifiers using linear projections based on misclassified instances. ESANN (2008)
César Ignacio García-Osorio, Iñigo Mediavilla-Sáiz, Javier Jimeno-Visitación, Nicolás García-Pedrajas
Teaching push-down automata and turing machines. ITiCSE (2008)
César Ignacio García-Osorio, Carlos Gómez-Palacios, Nicolás García-Pedrajas
A tool for teaching LL and LR parsing algorithms. ITiCSE (2008)
Nicolás García-Pedrajas, César Ignacio García-Osorio, Colin Fyfe
Nonlinear Boosting Projections for Ensemble Construction. J. Mach. Learn. Res. 8 (2007)
Jesús Maudes, Juan José Rodríguez, César Ignacio García-Osorio
Cascading for Nominal Data. MCS (2007)
César Ignacio García-Osorio, Colin Fyfe
The combined use of self-organizing maps and andrews' curves. Int. J. Neural Syst. 15 (3) (2005)
César Ignacio García-Osorio, Colin Fyfe
Visualization of High-dimensional Data via Orthogonal Curves. J. Univers. Comput. Sci. 11 (11) (2005)
César Ignacio García-Osorio, Colin Fyfe
Regaining sparsity in kernel principal components. Neurocomputing 67 (2005)
César Ignacio García-Osorio, Jesús Maudes, Colin Fyfe
Using Andrews Curves for Clustering and Sub-clustering Self-Organizing Maps. ESANN (2004)