Marcelino Lázaro

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 10

Top Topics

Binary Classification

Imbalanced Data

Cost Sensitive Learning

Top Venues

Pattern Recognit.

IEEE Trans. Cybern.

Publications

Javier Mediavilla-Relaño, Marcelino Lázaro
One-step Bayesian example-dependent cost classification: The OsC-MLP method. Neural Networks 173 (2024)
Javier Mediavilla-Relaño, Marcelino Lázaro
COCOA: Cost-Optimized COunterfactuAl explanation method. Inf. Sci. 670 (2024)
Javier Mediavilla-Relaño, Marcelino Lázaro, Aníbal R. Figueiras-Vidal
Imbalance example-dependent cost classification: A Bayesian based method. Expert Syst. Appl. 213 (Part) (2023)
Marcelino Lázaro, Aníbal R. Figueiras-Vidal
Neural network for ordinal classification of imbalanced data by minimizing a Bayesian cost. Pattern Recognit. 137 (2023)
Marcelino Lázaro, Aníbal R. Figueiras-Vidal
A Bayes Risk Minimization Machine for Example-Dependent Cost Classification. IEEE Trans. Cybern. 51 (7) (2021)
Marcelino Lázaro, Francisco Herrera, Aníbal R. Figueiras-Vidal
Ensembles of cost-diverse Bayesian neural learners for imbalanced binary classification. Inf. Sci. 520 (2020)
Javier Mediavilla-Relaño, Aitor Gutiérrez-López, Marcelino Lázaro, Aníbal R. Figueiras-Vidal
A Principled Two-Step Method for Example-Dependent Cost Binary Classification. IWINAC (2) (2019)
Marcelino Lázaro, Monson H. Hayes, Aníbal R. Figueiras-Vidal
Training neural network classifiers through Bayes risk minimization applying unidimensional Parzen windows. Pattern Recognit. 77 (2018)
Sergio González, Salvador García, Marcelino Lázaro, Aníbal R. Figueiras-Vidal, Francisco Herrera
Class Switching according to Nearest Enemy Distance for learning from highly imbalanced data-sets. Pattern Recognit. 70 (2017)
Marcelino Lázaro
Decentralized detection for censored binary observations with statistical dependence. Signal Process. 123 (2016)
Marcelino Lázaro, Francisco Herrera, Aníbal R. Figueiras-Vidal
Classification of Binary Imbalanced Data Using A Bayesian Ensemble of Bayesian Neural Networks. EANN (2015)
Jorge Plata-Chaves, Marcelino Lázaro
Closed-Form Error Exponent for the Neyman-Pearson Fusion of Dependent Local Decisions in a One-Dimensional Sensor Network. IEEE Trans. Signal Process. 59 (3) (2011)
Jorge Plata-Chaves, Marcelino Lázaro, Antonio Artés-Rodríguez
Optimal Neyman-Pearson fusion in two-dimensional sensor networks with serial architecture and dependent observations. FUSION (2011)
Jorge Plata-Chaves, Marcelino Lázaro
Closed-form error exponent for the Neyman-Pearson fusion of two-dimensional Markov local decisions. EUSIPCO (2010)
Marcelino Lázaro, Matilde Sánchez Fernández, Antonio Artés-Rodríguez
Optimal Sensor Selection in Binary Heterogeneous Sensor Networks. IEEE Trans. Signal Process. 57 (4) (2009)
Marcelino Lázaro, Jonathan González-Olasola
Blind equalization using the IRWLS formulation of the support vector machine. Signal Process. 89 (7) (2009)
Marcelino Lázaro, Antonio Artés-Rodríguez
Optimal Sensor Selection in Heterogeneous Sensor Networks. ICASSP (2) (2007)
Juan C. Alonso-Bayal, Ricardo Santiago-Mozos, José M. Leiva-Murillo, Marcelino Lázaro, Antonio Artés-Rodríguez
Real-time tracking and identification on an intelligent IR-based surveillance system. AVSS (2007)
Marcelino Lázaro, José M. Leiva-Murillo, Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal
A New Cost Function for Binary Classification Problems Based on the Distributions of the Soft Output for Each Class. IJCNN (2007)
Marcelino Lázaro, Fernando Pérez-Cruz, Antonio Artés-Rodríguez
Learning a function and its derivative forcing the support vector expansion. IEEE Signal Process. Lett. 12 (3) (2005)
Antonio Artés-Rodríguez, Marcelino Lázaro, Matilde Sánchez Fernández
Decentralized detection in dense sensor networks with censored transmissions. ICASSP (4) (2005)
Marcelino Lázaro, Ignacio Santamaría, Deniz Erdogmus, Kenneth E. Hild II, Carlos Pantaleón, José C. Príncipe
Stochastic blind equalization based on PDF fitting using Parzen estimator. IEEE Trans. Signal Process. 53 (2-1) (2005)
Marcelino Lázaro, Ignacio Santamaría, Fernando Pérez-Cruz, Antonio Artés-Rodríguez
Support Vector Regression for the simultaneous learning of a multivariate function and its derivatives. Neurocomputing 69 (1-3) (2005)
Marcelino Lázaro, Ignacio Santamaría, Javier Vía, Deniz Erdogmus
Blind equalization of multilevel signals using support vector machines. EUSIPCO (2004)
Fernando Pérez-Cruz, Marcelino Lázaro, Antonio Artés-Rodríguez
Multidimensional SVM to include the samples of the derivatives in the reconstruction of a function. EUSIPCO (2004)
Deniz Erdogmus, Kenneth E. Hild II, José C. Príncipe, Marcelino Lázaro, Ignacio Santamaría
Adaptive blind deconvolution of linear channels using Renyi's entropy with Parzen window estimation. IEEE Trans. Signal Process. 52 (6) (2004)
Javier Vía, Ignacio Santamaría, Marcelino Lázaro
Blind restoration of binary signals using a line spectrum fitting approach. EUSIPCO (2004)
Marcelino Lázaro, Ignacio Santamaría, Fernando Pérez-Cruz, Antonio Artés-Rodríguez
Support vector machine for the simultaneous approximation of a function and its derivative. NNSP (2003)
Ignacio Santamaría, Jesús Ibáñez, Marcelino Lázaro, Carlos Pantaleón, Luis Vielva
Modeling Nonlinear Power Amplifiers in OFDM Systems from Subsampled Data: A Comparative Study Using Real Measurements. EURASIP J. Adv. Signal Process. 2003 (12) (2003)
Marcelino Lázaro, Ignacio Santamaría, Carlos Pantaleón, Jesús Ibáñez, Luis Vielva
A regularized technique for the simultaneous reconstruction of a function and its derivatives with application to nonlinear transistor modeling. Signal Process. 83 (9) (2003)
Marcelino Lázaro, Ignacio Santamaría, Carlos Pantaleón
A new EM-based training algorithm for RBF networks. Neural Networks 16 (1) (2003)
Marcelino Lázaro, Ignacio Santamaría, Carlos Pantaleón, Deniz Erdogmus, José C. Príncipe
Matched pdf-based blind equalization. ICASSP (4) (2003)
Marcelino Lázaro, Ignacio Santamaría, Carlos Pantaleón
A regularized digital filtering technique for the simultaneous reconstruction of a function and its derivatives. ICECS (2001)
Marcelino Lázaro, Ignacio Santamaría, Carlos Pantaleón
Accelerating the Convergence of EM-Based Training Algorithms for RBF Networks. IWANN (1) (2001)
Marcelino Lázaro, Ignacio Santamaría, Carlos Pantaleón
Neural networks for large- and small-signal modeling of MESFET/HEMT transistors. IEEE Trans. Instrum. Meas. 50 (6) (2001)
Marcelino Lázaro, Ignacio Santamaría, Carlos Pantaleón
A smooth and derivable large-signal model for microwave HEMT transistors. ISCAS (2000)
Angel Mediavilla, Antonio Tazón, J. A. Pereda, Marcelino Lázaro, Ignacio Santamaría, Carlos Pantaleón
Neuronal Architecture for Waveguide Inductive Iris Bandpass Filter Optimization. IJCNN (4) (2000)
Marcelino Lázaro, Ignacio Santamaría, Carlos Pantaleón, Cesar Navarro, Antonio Tazón, Tomás Fernández Ibáñez
A Modular Neural Network for Global Modeling of Microwave Transistors. IJCNN (4) (2000)
Ignacio Santamaría, Marcelino Lázaro, Carlos Pantaleón, Jose A. García, Antonio Tazón, Angel Mediavilla
A nonlinear MESFET model for intermodulation analysis using a generalized radial basis function network. Neurocomputing 25 (1-3) (1999)