Marcelino Lázaro

41 papers B 2C 3Journal 22Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	LSTM With Bayesian Loss for Ordinal and Imbalanced Channel Quality Prediction. IEEE Open J. Commun. Soc. Virginia Silva, Harold Y. Molina-Bulla, Marcelino Lázaro, Mauricio Rodríguez, Matilde Sánchez Fernández
2025	—	`conf`	Smart Incident Prediction from NOC Alert Events in Digital TV Broadcasting Networks. IWANN (2) Francisco Javier González-Serrano, Lorena Álvarez-Pérez, Harold Y. Molina-Bulla, Marcelino Lázaro
2024	J	`jnl`	COCOA: Cost-Optimized COunterfactuAl explanation method. Inf. Sci. Javier Mediavilla-Relaño, Marcelino Lázaro
2024	J	`jnl`	One-step Bayesian example-dependent cost classification: The OsC-MLP method. Neural Networks Javier Mediavilla-Relaño, Marcelino Lázaro
2023	J	`jnl`	Imbalance example-dependent cost classification: A Bayesian based method. Expert Syst. Appl. Javier Mediavilla-Relaño, Marcelino Lázaro, Aníbal R. Figueiras-Vidal
2023	J	`jnl`	Neural network for ordinal classification of imbalanced data by minimizing a Bayesian cost. Pattern Recognit. Marcelino Lázaro, Aníbal R. Figueiras-Vidal
2021	J	`jnl`	A Bayes Risk Minimization Machine for Example-Dependent Cost Classification. IEEE Trans. Cybern. Marcelino Lázaro, Aníbal R. Figueiras-Vidal
2020	J	`jnl`	Ensembles of cost-diverse Bayesian neural learners for imbalanced binary classification. Inf. Sci. Marcelino Lázaro, Francisco Herrera, Aníbal R. Figueiras-Vidal
2019	—	`conf`	A Principled Two-Step Method for Example-Dependent Cost Binary Classification. IWINAC (2) Javier Mediavilla-Relaño, Aitor Gutiérrez-López, Marcelino Lázaro, Aníbal R. Figueiras-Vidal
2018	J	`jnl`	Training neural network classifiers through Bayes risk minimization applying unidimensional Parzen windows. Pattern Recognit. Marcelino Lázaro, Monson H. Hayes, Aníbal R. Figueiras-Vidal
2017	J	`jnl`	Class Switching according to Nearest Enemy Distance for learning from highly imbalanced data-sets. Pattern Recognit. Sergio González, Salvador García, Marcelino Lázaro, Aníbal R. Figueiras-Vidal, Francisco Herrera
2016	J	`jnl`	Decentralized detection for censored binary observations with statistical dependence. Signal Process. Marcelino Lázaro
2015	C	`conf`	Classification of Binary Imbalanced Data Using A Bayesian Ensemble of Bayesian Neural Networks. EANN Marcelino Lázaro, Francisco Herrera, Aníbal R. Figueiras-Vidal
2011	J	`jnl`	Closed-Form Error Exponent for the Neyman-Pearson Fusion of Dependent Local Decisions in a One-Dimensional Sensor Network. IEEE Trans. Signal Process. Jorge Plata-Chaves, Marcelino Lázaro
2011	C	`conf`	Optimal Neyman-Pearson fusion in two-dimensional sensor networks with serial architecture and dependent observations. FUSION Jorge Plata-Chaves, Marcelino Lázaro, Antonio Artés-Rodríguez
2010	—	`conf`	Closed-form error exponent for the Neyman-Pearson fusion of two-dimensional Markov local decisions. EUSIPCO Jorge Plata-Chaves, Marcelino Lázaro
2009	J	`jnl`	Blind equalization using the IRWLS formulation of the support vector machine. Signal Process. Marcelino Lázaro, Jonathan González-Olasola
2009	J	`jnl`	Optimal Sensor Selection in Binary Heterogeneous Sensor Networks. IEEE Trans. Signal Process. Marcelino Lázaro, Matilde Sánchez Fernández, Antonio Artés-Rodríguez
2007	B	`conf`	A New Cost Function for Binary Classification Problems Based on the Distributions of the Soft Output for Each Class. IJCNN Marcelino Lázaro, José M. Leiva-Murillo, Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal
2007	—	`conf`	Optimal Sensor Selection in Heterogeneous Sensor Networks. ICASSP (2) Marcelino Lázaro, Antonio Artés-Rodríguez
2007	B	`conf`	Real-time tracking and identification on an intelligent IR-based surveillance system. AVSS Juan C. Alonso-Bayal, Ricardo Santiago-Mozos, José M. Leiva-Murillo, Marcelino Lázaro, Antonio Artés-Rodríguez
2005	—	`conf`	Decentralized detection in dense sensor networks with censored transmissions. ICASSP (4) Antonio Artés-Rodríguez, Marcelino Lázaro, Matilde Sánchez Fernández
2005	J	`jnl`	Learning a function and its derivative forcing the support vector expansion. IEEE Signal Process. Lett. Marcelino Lázaro, Fernando Pérez-Cruz, Antonio Artés-Rodríguez
2005	J	`jnl`	Stochastic blind equalization based on PDF fitting using Parzen estimator. IEEE Trans. Signal Process. Marcelino Lázaro, Ignacio Santamaría, Deniz Erdogmus, Kenneth E. Hild II, Carlos Pantaleón, José C. Príncipe
2005	J	`jnl`	Support Vector Regression for the simultaneous learning of a multivariate function and its derivatives. Neurocomputing Marcelino Lázaro, Ignacio Santamaría, Fernando Pérez-Cruz, Antonio Artés-Rodríguez
2004	J	`jnl`	Adaptive blind deconvolution of linear channels using Renyi's entropy with Parzen window estimation. IEEE Trans. Signal Process. Deniz Erdogmus, Kenneth E. Hild II, José C. Príncipe, Marcelino Lázaro, Ignacio Santamaría
2004	—	`conf`	Blind equalization of multilevel signals using support vector machines. EUSIPCO Marcelino Lázaro, Ignacio Santamaría, Javier Vía, Deniz Erdogmus
2004	—	`conf`	Blind restoration of binary signals using a line spectrum fitting approach. EUSIPCO Javier Vía, Ignacio Santamaría, Marcelino Lázaro
2004	—	`conf`	Multidimensional SVM to include the samples of the derivatives in the reconstruction of a function. EUSIPCO Fernando Pérez-Cruz, Marcelino Lázaro, Antonio Artés-Rodríguez
2003	J	`jnl`	A new EM-based training algorithm for RBF networks. Neural Networks Marcelino Lázaro, Ignacio Santamaría, Carlos Pantaleón
2003	J	`jnl`	A regularized technique for the simultaneous reconstruction of a function and its derivatives with application to nonlinear transistor modeling. Signal Process. Marcelino Lázaro, Ignacio Santamaría, Carlos Pantaleón, Jesús Ibáñez, Luis Vielva
2003	—	`conf`	Matched pdf-based blind equalization. ICASSP (4) Marcelino Lázaro, Ignacio Santamaría, Carlos Pantaleón, Deniz Erdogmus, José C. Príncipe
2003	J	`jnl`	Modeling Nonlinear Power Amplifiers in OFDM Systems from Subsampled Data: A Comparative Study Using Real Measurements. EURASIP J. Adv. Signal Process. Ignacio Santamaría, Jesús Ibáñez, Marcelino Lázaro, Carlos Pantaleón, Luis Vielva
2003	—	`conf`	Support vector machine for the simultaneous approximation of a function and its derivative. NNSP Marcelino Lázaro, Ignacio Santamaría, Fernando Pérez-Cruz, Antonio Artés-Rodríguez
2001	—	`conf`	A regularized digital filtering technique for the simultaneous reconstruction of a function and its derivatives. ICECS Marcelino Lázaro, Ignacio Santamaría, Carlos Pantaleón
2001	—	`conf`	Accelerating the Convergence of EM-Based Training Algorithms for RBF Networks. IWANN (1) Marcelino Lázaro, Ignacio Santamaría, Carlos Pantaleón
2001	J	`jnl`	Neural networks for large- and small-signal modeling of MESFET/HEMT transistors. IEEE Trans. Instrum. Meas. Marcelino Lázaro, Ignacio Santamaría, Carlos Pantaleón
2000	—	`conf`	A Modular Neural Network for Global Modeling of Microwave Transistors. IJCNN (4) Marcelino Lázaro, Ignacio Santamaría, Carlos Pantaleón, Cesar Navarro, Antonio Tazón, Tomás Fernández Ibáñez
2000	C	`conf`	A smooth and derivable large-signal model for microwave HEMT transistors. ISCAS Marcelino Lázaro, Ignacio Santamaría, Carlos Pantaleón
2000	—	`conf`	Neuronal Architecture for Waveguide Inductive Iris Bandpass Filter Optimization. IJCNN (4) Angel Mediavilla, Antonio Tazón, J. A. Pereda, Marcelino Lázaro, Ignacio Santamaría, Carlos Pantaleón
1999	J	`jnl`	A nonlinear MESFET model for intermodulation analysis using a generalized radial basis function network. Neurocomputing Ignacio Santamaría, Marcelino Lázaro, Carlos Pantaleón, Jose A. García, Antonio Tazón, Angel Mediavilla