Pedro Antonio Gutiérrez

发表

Evolutionary artificial neural networks for accurate solar radiation prediction

Pedro Antonio Gutiérrez, David Guijo-Rubio, Antonio Manuel Duran-Rosal, 2020, Energy.

Hybrid Artificial Neural Networks: Models, Algorithms and Data

Pedro Antonio Gutiérrez, César Hervás-Martínez, 2011, IWANN.

Support Vector Ordinal Regression using Privileged Information

Pedro Antonio Gutiérrez, Huanhuan Chen, Fengzhen Tang, 2014, ESANN.

A statistically-driven Coral Reef Optimization algorithm for optimal size reduction of time series

Pedro Antonio Gutiérrez, César Hervás-Martínez, Sancho Salcedo-Sanz, 2018, Appl. Soft Comput..

Time Series Representation by a Novel Hybrid Segmentation Algorithm

Pedro Antonio Gutiérrez, César Hervás-Martínez, Antonio Manuel Durán-Rosal, 2016, HAIS.

Evolutionary product-unit neural networks classifiers

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo, 2008, Neurocomputing.

Evolutionary product unit neural networks for short-term wind speed forecasting in wind farms

Pedro Antonio Gutiérrez, César Hervás-Martínez, Sancho Salcedo-Sanz, 2012, Neural Computing and Applications.

Evolutionary q-Gaussian Radial Basis Function Neural Network to determine the microbial growth/no growth interface of Staphylococcus aureus

Pedro Antonio Gutiérrez, César Hervás-Martínez, Antonio Valero, 2011, Appl. Soft Comput..

A Hybrid Approach to Time Series Classification with Shapelets

Pedro Antonio Gutiérrez, David Guijo-Rubio, Anthony J. Bagnall, 2019, IDEAL.

Machine learning methods in organ transplantation.

Pedro Antonio Gutiérrez, César Hervás-Martínez, David Guijo-Rubio, 2020, Current opinion in organ transplantation.

An Extended Approach of a Two-Stage Evolutionary Algorithm in Artificial Neural Networks for Multiclassification Tasks

Pedro Antonio Gutiérrez, César Hervás-Martínez, Antonio J. Tallón-Ballesteros, 2013 .

An Iterated Greedy Algorithm for Improving the Generation of Synthetic Patterns in Imbalanced Learning

María Pérez-Ortiz, Pedro Antonio Gutiérrez, Carlos García-Martínez, 2017, IWANN.

Statistically-driven Coral Reef metaheuristic for automatic hyperparameter setting and architecture design of Convolutional Neural Networks

Pedro Antonio Gutiérrez, César Hervás-Martínez, David Camacho, 2020, 2020 IEEE Congress on Evolutionary Computation (CEC).

Logistic Regression by Means of Evolutionary Radial Basis Function Neural Networks

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo, 2011, IEEE Transactions on Neural Networks.

Classification of countries' progress toward a knowledge economy based on machine learning classification techniques

Pedro Antonio Gutiérrez, César Hervás-Martínez, Monica-de la Paz-Marin, 2015, Expert Syst. Appl..

Combined projection and kernel basis functions for classification in evolutionary neural networks

Pedro Antonio Gutiérrez, César Hervás-Martínez, Juan Carlos Fernández, 2009, Neurocomputing.

Classification of Melanoma Presence and Thickness Based on Computational Image Analysis

María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, 2016, HAIS.

Evolutionary learning by a sensitivity-accuracy approach for multi-class problems

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Oversampling the Minority Class in the Feature Space

Pedro Antonio Gutiérrez, César Hervás-Martínez, Peter Tiño, 2016, IEEE Transactions on Neural Networks and Learning Systems.

OCAPIS: R package for Ordinal Classification and Preprocessing in Scala

Pedro Antonio Gutiérrez, Francisco Herrera, Salvador García, 2018, Progress in Artificial Intelligence.

ORCA: A Matlab/Octave Toolbox for Ordinal Regression

María Pérez-Ortiz, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, 2019, J. Mach. Learn. Res..

Hybrid Evolutionary Algorithm with Product-Unit Neural Networks for Classification

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo, 2007, IWANN.

On the use of evolutionary time series analysis for segmenting paleoclimate data

María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, 2017, Neurocomputing.

Permanent disability classification using hybrid neuro-logistic regression models

Pedro Antonio Gutiérrez, César Hervás-Martínez, Rafael Morales Bueno, 2011, 2011 IEEE Workshop On Hybrid Intelligent Models And Applications.

A hybrid dynamic exploitation barebones particle swarm optimisation algorithm for time series segmentation

Pedro Antonio Gutiérrez, César Hervás-Martínez, Ángel Carmona Poyato, 2019, Neurocomputing.

Fisher Score-Based Feature Selection for Ordinal Classification: A Social Survey on Subjective Well-Being

María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, 2016, HAIS.

Classification by evolutionary generalised radial basis functions

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco Fernández-Navarro, 2010, Int. J. Hybrid Intell. Syst..

An ensemble approach for ordinal threshold models applied to liver transplantation

María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Class Switching Ensembles for Ordinal Regression

María Pérez-Ortiz, Pedro Antonio Gutiérrez, Alberto Suárez, 2017, IWANN.

Ordinal Classification Using Hybrid Artificial Neural Networks with Projection and Kernel Basis Functions

Pedro Antonio Gutiérrez, César Hervás-Martínez, Manuel Dorado-Moreno, 2012, HAIS.

A Coral Reef Optimization Algorithm for Wave Height Time Series Segmentation Problems

Pedro Antonio Gutiérrez, César Hervás-Martínez, David Guijo-Rubio, 2017, IWANN.

Ordinal Evolutionary Artificial Neural Networks for Solving an Imbalanced Liver Transplantation Problem

María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, 2016, HAIS.

An Experimental Study of Different Ordinal Regression Methods and Measures

María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, 2012, HAIS.

Simultaneous modelling of rainfall occurrence and amount using a hierarchical nominal-ordinal support vector classifier

Pedro Antonio Gutiérrez, César Hervás-Martínez, Sancho Salcedo-Sanz, 2014, Eng. Appl. Artif. Intell..

A dynamic over-sampling procedure based on sensitivity for multi-class problems

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco Fernández-Navarro, 2011, Pattern Recognit..

Short- and long-term energy flux prediction using Multi-Task Evolutionary Artificial Neural Networks

Pedro Antonio Gutiérrez, David Guijo-Rubio, Antonio M. Gómez-Orellana, 2020 .

Kernelising the Proportional Odds Model through kernel learning techniques

Pedro Antonio Gutiérrez, César Hervás-Martínez, Manuel Cruz-Ramírez, 2015, Neurocomputing.

Generalized Logistic Regression Models Using Neural Network Basis Functions Applied to the Detection of Banking Crises

Pedro Antonio Gutiérrez, César Hervás-Martínez, Sancho Salcedo-Sanz, 2010, IEA/AIE.

Ensemble determination using the TOPSIS decision support system in multi-objective evolutionary neural network classifiers

Pedro Antonio Gutiérrez, César Hervás-Martínez, María Teresa Lamata, 2010, 2010 10th International Conference on Intelligent Systems Design and Applications.

Log-Gamma Distribution Optimisation via Maximum Likelihood for Ordered Probability Estimates

María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, 2014, HAIS.

Clasificación mediante la evolución de Modelos Híbridos de Redes Neuronales

Pedro Antonio Gutiérrez, Francisco Javier Martínez García, César Hervás Martínez, 2007 .

A Structural Distance-Based Crossover for Neural Network Classifiers

Pedro Antonio Gutiérrez, César Hervás-Martínez, Manuel Moreno, 2012, Int. J. Pattern Recognit. Artif. Intell..

Wind Power Ramp Events Ordinal Prediction Using Minimum Complexity Echo State Networks

Pedro Antonio Gutiérrez, César Hervás-Martínez, Sancho Salcedo-Sanz, 2018, IDEAL.

Parameter estimation of q-Gaussian Radial Basis Functions Neural Networks with a Hybrid Algorithm for binary classification

Pedro Antonio Gutiérrez, José Manuel Peñá-Barragán, César Hervás-Martínez, 2012, Neurocomputing.

Adapting linear discriminant analysis to the paradigm of learning from label proportions

Pedro Antonio Gutiérrez, César Hervás-Martínez, Mariano Carbonero-Ruz, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Designing multilayer perceptrons using a Guided Saw-tooth Evolutionary Programming Algorithm

Pedro Antonio Gutiérrez, César Hervás-Martínez, Manuel Lozano, 2009, Soft Comput..

Machine learning paradigms for weed mapping via unmanned aerial vehicles

María Pérez-Ortiz, Pedro Antonio Gutiérrez, Jorge Torres-Sánchez, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Memetic Pareto differential evolutionary neural network used to solve an unbalanced liver transplantation problem

María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, 2013, Soft Comput..

A two-stage evolutionary algorithm based on sensitivity and accuracy for multi-class problems

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo, 2012, Inf. Sci..

Addressing remitting behavior using an ordinal classification approach

Pedro Antonio Gutiérrez, César Hervás-Martínez, Pilar Campoy-Muñoz, 2013, Expert Syst. Appl..

Dynamically weighted evolutionary ordinal neural network for solving an imbalanced liver transplantation problem

María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, 2017, Artif. Intell. Medicine.

Nonlinear Ordinal Logistic Regression Using Covariates Obtained by Radial Basis Function Neural Networks Models

Pedro Antonio Gutiérrez, César Hervás-Martínez, Javier Sánchez-Monedero, 2015, IWANN.

Representing ordinal input variables in the context of ordinal classification

Pedro Antonio Gutiérrez, César Hervás-Martínez, Javier Sánchez-Monedero, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Selecting patterns and features for between- and within- crop-row weed mapping using UAV-imagery

María Pérez-Ortiz, Pedro Antonio Gutiérrez, José Manuel Peñá-Barragán, 2016, Expert Syst. Appl..

Exploitation of Pairwise Class Distances for Ordinal Classification

Pedro Antonio Gutiérrez, César Hervás-Martínez, Peter Tiño, 2013, Neural Computation.

Classification by Evolutionary Generalized Radial Basis Functions

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco Fernández-Navarro, 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

Synthetic semi-supervised learning in imbalanced domains: Constructing a model for donor-recipient matching in liver transplantation

María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, 2017, Knowl. Based Syst..

Weighting Efficient Accuracy and Minimum Sensitivity for Evolving Multi-Class Classifiers

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco Fernández-Navarro, 2011, Neural Processing Letters.

Sensitivity Versus Accuracy in Multiclass Problems Using Memetic Pareto Evolutionary Neural Networks

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco José Martínez, 2010, IEEE Transactions on Neural Networks.

A Sensitivity Clustering Method for Memetic Training of Radial Basis Function Neural Networks

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco Fernández-Navarro, 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

Kernelizing the Proportional Odds Model through the Empirical Kernel Mapping

Pedro Antonio Gutiérrez, César Hervás-Martínez, Manuel Cruz-Ramírez, 2013, IWANN.

Combined projection and kernel basis functions for classification in evolutionary neural networks

Pedro Antonio Gutiérrez, César Hervás-Martínez, Juan Carlos Fernández, 2009, Neurocomputing.

Identifying Market Behaviours Using European Stock Index Time Series by a Hybrid Segmentation Algorithm

Pedro Antonio Gutiérrez, César Hervás-Martínez, Antonio Manuel Durán-Rosal, 2017, Neural Processing Letters.

Semi-supervised learning for ordinal Kernel Discriminant Analysis

María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, 2016, Neural Networks.

Simultaneous optimisation of clustering quality and approximation error for time series segmentation

Pedro Antonio Gutiérrez, César Hervás-Martínez, Antonio Manuel Durán-Rosal, 2018, Inf. Sci..

Sound Source Identification in Vehicles Using a Combined Linear-Evolutionary Product Unit Neural Network Model

Pedro Antonio Gutiérrez, César Hervás-Martínez, Antonio J. Cubero-Atienza, 2011, SOCO.

Neuro-logistic Models Based on Evolutionary Generalized Radial Basis Function for the Microarray Gene Expression Classification Problem

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco Fernández-Navarro, 2011, Neural Processing Letters.

Ordinal regression neural networks based on concentric hyperspheres

Pedro Antonio Gutiérrez, César Hervás-Martínez, Peter Tiño, 2014, Neural Networks.

An Empirical Validation of a New Memetic CRO Algorithm for the Approximation of Time Series

Pedro Antonio Gutiérrez, César Hervás-Martínez, Sancho Salcedo-Sanz, 2018, CAEPIA.

Memetic Pareto Differential Evolutionary Neural Network for Donor-Recipient Matching in Liver Transplantation

Pedro Antonio Gutiérrez, César Hervás-Martínez, Manuel Cruz-Ramírez, 2011, IWANN.

Classification of EU countries' progress towards sustainable development based on ordinal regression techniques

Pedro Antonio Gutiérrez, César Hervás-Martínez, Monica-de la Paz-Marin, 2014, Knowl. Based Syst..

Multi-scale Support Vector Machine Optimization by Kernel Target-Alignment

María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, 2013, ESANN.

Energy Flux Range Classification by Using a Dynamic Window Autoregressive Model

María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, 2015, IWANN.

On the suitability of Extreme Learning Machine for gene classification using feature selection

Pedro Antonio Gutiérrez, César Hervás-Martínez, Manuel Cruz-Ramírez, 2010, 2010 10th International Conference on Intelligent Systems Design and Applications.

Distribution of the search of evolutionary product unit neural networks for classification pdf

Pedro Antonio Gutiérrez, César Hervás-Martínez, Antonio J. Tallón-Ballesteros, 2012, ArXiv.

Distribution-Based Discretisation and Ordinal Classification Applied to Wave Height Prediction

Pedro Antonio Gutiérrez, César Hervás-Martínez, David Guijo-Rubio, 2018, IDEAL.

Editorial: Booming of Neural Networks and Learning Systems

Akira Hirose, Pedro Antonio Gutiérrez, Haibo He, 2019, IEEE Trans. Neural Networks Learn. Syst..

Multiobjective Pareto Ordinal Classification for Predictive Microbiology

Pedro Antonio Gutiérrez, César Hervás-Martínez, Manuel Cruz-Ramírez, 2012, SOCO.

A logistic radial basis function regression method for discrimination of cover crops in olive orchards

Pedro Antonio Gutiérrez, José Manuel Peñá-Barragán, César Hervás-Martínez, 2010, Expert Syst. Appl..

MultiLogistic Regression using Initial and Radial Basis Function covariates

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo, 2009, 2009 International Joint Conference on Neural Networks.

Deep ordinal classification based on cumulative link models pdf

Pedro Antonio Gutiérrez, César Hervás-Martínez, Víctor Manuel Vargas, 2019, ArXiv.

Ensembles of evolutionary product unit or RBF neural networks for the identification of sound for pass-by noise test in vehicles

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco Fernández-Navarro, 2013, Neurocomputing.

Special issue: Advances in learning schemes for function approximation

Pedro Antonio Gutiérrez, Emilio Corchado, Ajith Abraham, 2014, Neurocomputing.

Object-Based Image Classification of Summer Crops with Machine Learning Methods

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisca López-Granados, 2014, Remote. Sens..

Negative Correlation Ensemble Learning for Ordinal Regression

Pedro Antonio Gutiérrez, César Hervás-Martínez, Xin Yao, 2013, IEEE Transactions on Neural Networks and Learning Systems.

Neural Network Ensembles to Determine Growth Multi-classes in Predictive Microbiology

Pedro Antonio Gutiérrez, César Hervás-Martínez, Huanhuan Chen, 2012, HAIS.

Memetic Pareto Evolutionary Artificial Neural Networks for the Determination of Growth Limits of Listeria Monocytogenes

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco José Martínez, 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

Permanent disability classification by combining evolutionary Generalized Radial Basis Function and logistic regression methods

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco Fernández-Navarro, 2012, Expert Syst. Appl..

Memetic Pareto Evolutionary Artificial Neural Networks to determine growth/no-growth in predictive microbiology

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo, 2011, Appl. Soft Comput..

Hybridizing logistic regression with product unit and RBF networks for accurate detection and prediction of banking crises

Pedro Antonio Gutiérrez, César Hervás-Martínez, Sancho Salcedo-Sanz, 2010, Omega.

Learning from Label Proportions via an Iterative Weighting Scheme and Discriminant Analysis

María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, 2016, CAEPIA.

An n-Spheres Based Synthetic Data Generator for Supervised Classification

María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, 2013, IWANN.

Machine Learning Methods for Binary and Multiclass Classification of Melanoma Thickness From Dermoscopic Images

Pedro Antonio Gutiérrez, César Hervás-Martínez, Aurora Sáez, 2016, IEEE Transactions on Medical Imaging.

Cumulative link models for deep ordinal classification

Pedro Antonio Gutiérrez, Vı́ctor Manuel Vargas, César Hervás-Mart́ınez, 2019, Neurocomputing.

Combining Reservoir Computing and Over-Sampling for Ordinal Wind Power Ramp Prediction

Pedro Antonio Gutiérrez, César Hervás-Martínez, Sancho Salcedo-Sanz, 2017, IWANN.

2011 IEEE Workshop On Hybrid Intelligent Models And Applications, HIMA 2011, Paris, France, April 14, 2011

Pedro Antonio Gutiérrez, Elena N. Benderskaya, Sofya V. Zhukova, 2011, HIMA.

Evolutionary q-Gaussian Radial Basis Functions for Binary-Classification

Pedro Antonio Gutiérrez, César Hervás-Martínez, Manuel Cruz-Ramírez, 2010, HAIS.

Multilogistic Regression by Product Units

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo, 2009, Encyclopedia of Artificial Intelligence.

Time series forecasting by recurrent product unit neural networks

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco Fernández-Navarro, 2018, Neural Computing and Applications.

Hybridization of neural network models for the prediction of Extreme Significant Wave Height segments

Pedro Antonio Gutiérrez, César Hervás-Martínez, Antonio Manuel Durán-Rosal, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

不均衡領域における合成半教師つき学習:肝移植におけるドナー‐レシピエントマッチングのためのモデルの構築【Powered by NICT】

Pedro Antonio Gutiérrez, César Hervás-Martínez, María Pérez-Ortiz, 2017 .

Graph-Based Approaches for Over-Sampling in the Context of Ordinal Regression

Pedro Antonio Gutiérrez, César Hervás-Martínez, Xin Yao, 2015, IEEE Transactions on Knowledge and Data Engineering.

Overcoming the Linearity of Ordinal Logistic Regression Adding Non-linear Covariates from Evolutionary Hybrid Neural Network Models

Pedro Antonio Gutiérrez, César Hervás-Martínez, Javier Sánchez-Monedero, 2015, CAEPIA.

Approaching System Administration as a Group Project in Computer Engineering Higher Education

Pedro Antonio Gutiérrez, César Hervás-Martínez, Manuel Cruz-Ramírez, 2012, CISIS/ICEUTE/SOCO Special Sessions.

Synthetic over-sampling in the empirical feature space

Pedro Antonio Gutiérrez, César Hervás-Martínez, María Pérez-Ortiz, 2013, ESANN.

Saw-Tooth Algorithm Guided by the Variance of Best Individual Distributions for Designing Evolutionary Neural Networks

Pedro Antonio Gutiérrez, César Hervás-Martínez, Manuel Lozano, 2007, IDEAL.

Applying a Hybrid Algorithm to the Segmentation of the Spanish Stock Market Index Time Series

Pedro Antonio Gutiérrez, César Hervás-Martínez, Antonio Manuel Durán-Rosal, 2015, IWANN.

Dynamical memetization in coral reef optimization algorithms for optimal time series approximation

Pedro Antonio Gutiérrez, César Hervás-Martínez, Sancho Salcedo-Sanz, 2019, Progress in Artificial Intelligence.

Prediction of low-visibility events due to fog using ordinal classification

Pedro Antonio Gutiérrez, C. Casanova-Mateo, J. Sanz-Justo, 2018, Atmospheric Research.

Modelling Survival by Machine Learning Methods in Liver Transplantation: Application to the UNOS Dataset

Pedro Antonio Gutiérrez, César Hervás-Martínez, David Guijo-Rubio, 2019, IDEAL.

A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method

Pedro Antonio Gutiérrez, José Manuel Peñá-Barragán, Jorge Torres-Sánchez, 2015, Appl. Soft Comput..

Evolutionary q-Gaussian Radial Basis Functions for Improving Prediction Accuracy of Gene Classification Using Feature Selection

Pedro Antonio Gutiérrez, César Hervás-Martínez, José Cristóbal Riquelme Santos, 2010, ICANN.

A Study on Multi-Scale Kernel Optimisation via Centered Kernel-Target Alignment

Pedro Antonio Gutiérrez, César Hervás-Martínez, Javier Sánchez-Monedero, 2016, Neural Processing Letters.

Combining classification and regression approaches for the quantification of highly overlapping capillary electrophoresis peaks by using evolutionary sigmoidal and product unit neural networks

Pedro Antonio Gutiérrez, Manuel Silva, Juan Manuel Serrano, 2007 .

Incorporating Privileged Information to Improve Manifold Ordinal Regression

Pedro Antonio Gutiérrez, César Hervás-Martínez, María Pérez-Ortiz, 2014, IJCCI.

Generalised Gaussian radial basis function neural networks

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco Fernández-Navarro, 2012, Soft Computing.

A preliminary study of ordinal metrics to guide a multi-objective evolutionary algorithm

Pedro Antonio Gutiérrez, César Hervás-Martínez, Manuel Cruz-Ramírez, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

Deep Ordinal Classification Based on the Proportional Odds Model

Pedro Antonio Gutiérrez, César Hervás-Martínez, Víctor Manuel Vargas, 2019, IWINAC.

Ordinal classification of depression spatial hot-spots of prevalence

María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

Estimating Rodent Brain Volume by a Deformable Contour Model

Pedro Antonio Gutiérrez, María J. Carreira, M. J. Carreira, 2017, MIUA.

Identification of extreme wave heights with an evolutionary algorithm in combination with a likelihood-based segmentation

Pedro Antonio Gutiérrez, César Hervás-Martínez, Antonio Manuel Durán-Rosal, 2016, Progress in Artificial Intelligence.

On the Use of the Beta Distribution for a Hybrid Time Series Segmentation Algorithm

Pedro Antonio Gutiérrez, César Hervás-Martínez, Antonio Manuel Durán-Rosal, 2016, CAEPIA.

Time Series Segmentation of Paleoclimate Tipping Points by an Evolutionary Algorithm

María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, 2014, HAIS.

Ordinal regression algorithms for the analysis of convective situations over Madrid-Barajas airport

Pedro Antonio Gutiérrez, J. Sanz-Justo, Sancho Salcedo-Sanz, 2020, Atmospheric Research.

A mixture of experts model for predicting persistent weather patterns

María Pérez-Ortiz, Pedro Antonio Gutiérrez, Peter Tiño, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Hyperbolic Tangent Basis Function Neural Networks Training by Hybrid Evolutionary Programming for Accurate Short-Term Wind Speed Prediction

Pedro Antonio Gutiérrez, César Hervás-Martínez, Sancho Salcedo-Sanz, 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

Combining Evolutionary Generalized Radial Basis Function and Logistic Regression Methods for Classification

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco Fernández-Navarro, 2011, SOCO.

Partial order label decomposition approaches for melanoma diagnosis

Pedro Antonio Gutiérrez, César Hervás-Martínez, Aurora Sáez, 2018, Appl. Soft Comput..

Hybrid Multilogistic Regression by Means of Evolutionary Radial Basis Functions: Application to Precision Agriculture

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisca López-Granados, 2009, HAIS.

Ordinal Versus Nominal Time Series Classification

Pedro Antonio Gutiérrez, César Hervás-Martínez, David Guijo-Rubio, 2020, AALTD@PKDD/ECML.

Addressing remitting behavior using an ordinal classification approach

Pedro Antonio Gutiérrez, César Hervás-Martínez, Pilar Campoy-Muñoz, 2014, Expert Syst. Appl..

MELM-GRBF: A modified version of the extreme learning machine for generalized radial basis function neural networks

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco Fernández-Navarro, 2011, Neurocomputing.

Robust estimation of wind power ramp events with reservoir computing

Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez, 2017 .

Memetic Pareto Differential Evolution for Designing Artificial Neural Networks in Multiclassification Problems Using Cross-Entropy Versus Sensitivity

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco José Martínez, 2009, HAIS.

Detection and prediction of segments containing extreme significant wave heights

Pedro Antonio Gutiérrez, César Hervás-Martínez, Antonio Manuel Durán-Rosal, 2017 .

Classification by means of Evolutionary Product-Unit Neural Networks

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Mapping sunflower yield as affected by Ridolfia segetum patches and elevation by applying evolutionary product unit neural networks to remote sensed data

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisca López-Granados, 2008 .

Time-Series Clustering Based on the Characterization of Segment Typologies

Pedro Antonio Gutiérrez, César Hervás-Martínez, Alicia Troncoso Lora, 2018, IEEE Transactions on Cybernetics.

Tackling the ordinal and imbalance nature of a melanoma image classification problem

María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Numerical variable reconstruction from ordinal categories based on probability distributions

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

Using machine learning methods to determine a typology of patients with HIV-HCV infection to be treated with antivirals

Pedro Antonio Gutiérrez, David Guijo-Rubio, César Hervás-Martínez, 2020, PloS one.

Multiclass Prediction of Wind Power Ramp Events Combining Reservoir Computing and Support Vector Machines

Pedro Antonio Gutiérrez, César Hervás-Martínez, David Guijo-Rubio, 2016, CAEPIA.

A Review of Classification Problems and Algorithms in Renewable Energy Applications

María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, 2016 .

The Benefits of Modeling Slack Variables in SVMs

Pedro Antonio Gutiérrez, Huanhuan Chen, Fengzhen Tang, 2015, Neural Computation.

Metrics to guide a multi-objective evolutionary algorithm for ordinal classification

Pedro Antonio Gutiérrez, César Hervás-Martínez, Manuel Cruz-Ramírez, 2014, Neurocomputing.

Projection-Based Ensemble Learning for Ordinal Regression

Pedro Antonio Gutiérrez, César Hervás-Martínez, María Pérez-Ortiz, 2014, IEEE Transactions on Cybernetics.

Monotonic classification: an overview on algorithms, performance measures and data sets

Pedro Antonio Gutiérrez, José Ramón Cano, Salvador García, 2018, Neurocomputing.

Evolutionary Ordinal Extreme Learning Machine

Pedro Antonio Gutiérrez, César Hervás-Martínez, Javier Sánchez-Monedero, 2013, HAIS.

On the Use of Nominal and Ordinal Classifiers for the Discrimination of States of Development in Fish Oocytes

Pedro Antonio Gutiérrez, César Hervás-Martínez, Manuel Fernández Delgado, 2015, Neural Processing Letters.

Current prospects on ordinal and monotonic classification

Pedro Antonio Gutiérrez, Salvador García, 2016, Progress in Artificial Intelligence.

Borderline Kernel Based Over-Sampling

María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, 2013, HAIS.

Feature Selection for Hybrid Neuro-Logistic Regression Applied to Classification of Remote Sensed Data

Pedro Antonio Gutiérrez, José Manuel Peñá-Barragán, César Hervás-Martínez, 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

Learning Kernel Label Decompositions for Ordinal Classification Problems

Pedro Antonio Gutiérrez, César Hervás-Martínez, María Pérez-Ortiz, 2014, IJCCI.

A Sensitivity Clustering Method for Hybrid Evolutionary Algorithms

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco Fernández-Navarro, 2009, IWINAC.

Hybrid Weighted Barebones Exploiting Particle Swarm Optimization Algorithm for Time Series Representation

Pedro Antonio Gutiérrez, César Hervás-Martínez, David Guijo-Rubio, 2018, BIOMA.

Significant wave height and energy flux range forecast with machine learning classifiers

Pedro Antonio Gutiérrez, César Hervás-Martínez, Sancho Salcedo-Sanz, 2015, Eng. Appl. Artif. Intell..

Optimising Convolutional Neural Networks using a Hybrid Statistically-driven Coral Reef Optimisation algorithm

Pedro Antonio Gutiérrez, César Hervás-Martínez, David Camacho, 2020, Appl. Soft Comput..

Ordinal and nominal classification of wind speed from synoptic pressurepatterns

Pedro Antonio Gutiérrez, César Hervás-Martínez, Sancho Salcedo-Sanz, 2013, Eng. Appl. Artif. Intell..

Evaluating nominal and ordinal classifiers for wind speed prediction from synoptic pressure patterns

Pedro Antonio Gutiérrez, César Hervás-Martínez, Sancho Salcedo-Sanz, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

Multi-objective evolutionary optimization using the relationship between F1 and accuracy metrics in classification tasks

Pedro Antonio Gutiérrez, César Hervás-Martínez, Juan Carlos Fernández, 2019, Applied Intelligence.

Evolutionary Product-Unit Neural Networks for Classification

Pedro Antonio Gutiérrez, César Hervás-Martínez, Sebastián Ventura, 2006, IDEAL.

Evolutionary q-Gaussian radial basis function neural networks for multiclassification

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco Fernández-Navarro, 2011, Neural Networks.

Improvement of accuracy in a sound synthesis method using Evolutionary Product Unit Networks

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco Fernández-Navarro, 2013, Expert Syst. Appl..

Error-Correcting Output Codes in the Framework of Deep Ordinal Classification

Pedro Antonio Gutiérrez, César Hervás-Martínez, Javier Barbero-Gómez, 2021, IWANN.

Unimodal regularisation based on beta distribution for deep ordinal regression

Pedro Antonio Gutiérrez, César Hervás-Martínez, Víctor Manuel Vargas, 2022, Pattern Recognit..

A novel approach for global solar irradiation forecasting on tilted plane using Hybrid Evolutionary Neural Networks

Pedro Antonio Gutiérrez, César Hervás-Martínez, Antonio M. Gómez-Orellana, 2021 .

ReLU-Based Activations: Analysis and Experimental Study for Deep Learning

Pedro Antonio Gutiérrez, César Hervás-Martínez, David Guijo-Rubio, 2021, CAEPIA.

Building Suitable Datasets for Soft Computing and Machine Learning Techniques from Meteorological Data Integration: A Case Study for Predicting Significant Wave Height and Energy Flux

Pedro Antonio Gutiérrez, César Hervás-Martínez, Antonio M. Gómez-Orellana, 2021, Energies.

Studying the Effect of Different Lp Norms in the Context of Time Series Ordinal Classification

Pedro Antonio Gutiérrez, César Hervás-Martínez, David Guijo-Rubio, 2021, CAEPIA.

Enhancing the ORCA framework with a new Fuzzy Rule Base System implementation compatible with the JFML library

Pedro Antonio Gutiérrez, David Guijo-Rubio, José M. Soto-Hidalgo, 2021, 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Logistic regression product-unit neural networks for mapping Ridolfia segetum infestations in sunflower crop using multitemporal remote sensed data

Pedro Antonio Gutiérrez, M. Jurado-Expósito, F. López-Granados, 2008 .

Analysis and Prediction of Dammed Water Level in a Hydropower Reservoir Using Machine Learning and Persistence-Based Techniques

Pedro Antonio Gutiérrez, S. Salcedo-Sanz, C. Castillo-Botón, 2020, Water.

Methodology for the recognition and diagnosis of student performance by discriminant analysis and artificial neural networks

Pedro Antonio Gutiérrez, C. Hervás-Martínez, J. Sánchez-Monedero, 2010 .

Development of a multi-classification neural network model to determine the microbial growth/no growth interface.

Pedro Antonio Gutiérrez, C. Hervás-Martínez, G. Zurera-Cosano, 2010, International journal of food microbiology.

Climate tipping points : Detection and analysis of patterns using an ordinal regression approach Final Report

Pedro Antonio Gutiérrez, M. Pérez-Ortiz, C. Hervás-Martínez, 2014 .

Detection of early warning signals in paleoclimate data using a genetic time series segmentation algorithm

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco Fernández-Navarro, 2015, Climate Dynamics.

Evolutionary combined neural networks for modelling the growth boundaries for a five strain Staphylococcus aureus cocktail against temperature , pH and water activity

Pedro Antonio Gutiérrez, C. Hervás, R. García-Gimeno, 2007 .

Noise prediction of a diesel engine fueled with olive pomace oil methyl ester blended with diesel fuel

Pedro Antonio Gutiérrez, César Hervás-Martínez, A. J. Cubero-Atienza, 2012 .

A WEED MONITORING SYSTEM USING UAV-IMAGERY AND THE HOUGH TRANSFORM

Pedro Antonio Gutiérrez, Francisca López Granados, F. L. Granados, 2015 .

Multilogistic regression by evolutionary neural network as a classification tool to discriminate highly overlapping signals: Qualitative investigation of volatile organic compounds in polluted waters by using headspace-mass spectrometric analysis

Pedro Antonio Gutiérrez, Manuel Silva, Antonio Serrano, 2008 .

Computational models to predict noise emissions of a diesel engine fueled with saturated and monounsaturated fatty acid methyl esters

Pedro Antonio Gutiérrez, M. P. Dorado, C. Hervás-Martínez, 2018 .

A novel deep ordinal classification approach for aesthetic quality control classification

Pedro Antonio Gutiérrez, C. Hervás-Martínez, E. Frontoni, 2022, Neural Computing and Applications.

Prediction of convective clouds formation using evolutionary neural computation techniques

Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez, 2020, Neural Computing and Applications.

COVID-19 contagion forecasting framework based on curve decomposition and evolutionary artificial neural networks: A case study in Andalusia, Spain

Pedro Antonio Gutiérrez, D. Guijo-Rubio, I. Túnez, 2022, Expert Systems with Applications.

A mixed distribution to fix the threshold for Peak-Over-Threshold wave height estimation

Pedro Antonio Gutiérrez, A. M. Durán-Rosal, C. Hervás‐Martínez, 2022, Scientific Reports.

Generalised Gaussian radial basis function neural networks

Pedro Antonio Gutiérrez, F. Fernández-Navarro, C. Hervás‐Martínez, 2012, Soft Computing.

Memetic Pareto differential evolutionary neural network used to solve an unbalanced liver transplantation problem

Pedro Antonio Gutiérrez, M. Pérez-Ortiz, M. L. de la Mata, 2012, Soft Computing.

Multi-objective evolutionary optimization using the relationship between F1 and accuracy metrics in classification tasks

Pedro Antonio Gutiérrez, C. Hervás‐Martínez, Mariano Carbonero, 2019, Applied Intelligence.

Statistical methods versus machine learning techniques for donor-recipient matching in liver transplantation

Pedro Antonio Gutiérrez, D. Guijo-Rubio, M. Ayllón, 2021, PloS one.

Machine learning regression and classification methods for fog events prediction

Pedro Antonio Gutiérrez, R. Deo, S. Salcedo-Sanz, 2022, Atmospheric Research.

Activation Functions for Convolutional Neural Networks: Proposals and Experimental Study

Pedro Antonio Gutiérrez, V. Vargas, C. Hervás‐Martínez, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Ordinal Regression Methods: Survey and Experimental Study

Pedro Antonio Gutiérrez, Maria Perez-Ortiz, Javier Sanchez-Monedero, 2016, IEEE Transactions on Knowledge and Data Engineering.

Predictive Maintenance of ATM Machines by Modelling Remaining Useful Life with Machine Learning Techniques

Pedro Antonio Gutiérrez, L. Bianchini, E. Frontoni, 2022, SOCO.

Multi-task learning for the prediction of wind power ramp events with deep neural networks

Pedro Antonio Gutiérrez, M Dorado-Moreno, N Navarin, 2020, Neural Networks.

An Experimental Comparison for the Identification of Weeds in Sunflower Crops via Unmanned Aerial Vehicles and Object-Based Analysis

Pedro Antonio Gutiérrez, M. Pérez-Ortiz, F. López-Granados, 2015, IWANN.

Ordinal classification of the affectation level of 3D-images in Parkinson diseases

Pedro Antonio Gutiérrez, A. M. Durán-Rosal, J. A. Vallejo Casas, 2021, Scientific Reports.

New models for donor-recipient matching in lung transplantations

Pedro Antonio Gutiérrez, S. Cárcel, F. Santos-Luna, 2021, PloS one.

One month in advance prediction of air temperature from Reanalysis data with eXplainable Artificial Intelligence techniques

Pedro Antonio Gutiérrez, S. Salcedo-Sanz, D. Guijo-Rubio, 2023, Atmospheric Research.

Dynamical memetization in coral reef optimization algorithms for optimal time series approximation

Pedro Antonio Gutiérrez, S. Salcedo-Sanz, A. M. Durán-Rosal, 2019, Progress in Artificial Intelligence.

A guided data projection technique for classification of sovereign ratings: The case of European Union 27

Pedro Antonio Gutiérrez, Pilar Campoy-Muñoz, J. Sánchez-Monedero, 2014, Appl. Soft Comput..

Current prospects on ordinal and monotonic classification

Pedro Antonio Gutiérrez, S. García, 2016, Progress in Artificial Intelligence.

Expert Systems With Applications

Pedro Antonio Gutiérrez, D. Guijo-Rubio, Miguel Díaz-Lozano, 2023 .

Expert Systems With Applications

Pedro Antonio Gutiérrez, D. Guijo-Rubio, Miguel Díaz-Lozano, 2023 .

Search for Heavy Neutral Leptons in Decays of W Bosons Using a Dilepton Displaced Vertex in sqrt[s]=13 TeV pp Collisions with the ATLAS Detector.

Pedro Antonio Gutiérrez, Lan V. Truong, Amal K. Ghosh, 2023, Physical review letters.

Measurement of the top quark mass in the $$t\bar{t}\rightarrow $$ t t

Pedro Antonio Gutiérrez, Lan V. Truong, R. A. Creager, 2019, The European Physical Journal C.

Studies of the muon momentum calibration and performance of the ATLAS detector with 𝒑 𝒑 collisions at √

Pedro Antonio Gutiérrez, Lan V. Truong, Amal K. Ghosh, 2022 .

Measurements of observables sensitive to colour reconnection in tt¯\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$t{\

Pedro Antonio Gutiérrez, Lan V. Truong, Amal K. Ghosh, 2022, The European Physical Journal C.

ATLAS b-jet identification performance and efficiency measurement with $$t{\bar{t}}$$ events in pp collisions at $$\sqrt{s}=13$$ TeV

Pedro Antonio Gutiérrez, Lan V. Truong, Amal K. Ghosh, 2019, The European Physical Journal C.

Measurement of the cross-section and charge asymmetry of W bosons produced in proton–proton collisions at $$\sqrt{s}=8~\text {TeV}$$ with the ATLAS detector

Pedro Antonio Gutiérrez, Lan V. Truong, Amal K. Ghosh, 2019, The European Physical Journal C.

Measurements of top-quark pair differential cross-sections in the lepton+jets channel in pp collisions at $$\sqrt{s}=8\,~{\mathrm {TeV}}$$ s = 8 TeV using the ATLAS detector

Pedro Antonio Gutiérrez, Lan V. Truong, A. S. Kozhin, 2016, The European Physical Journal C.

Test of CP Invariance in Higgs Boson Vector-Boson-Fusion Production Using the H→γγ Channel with the ATLAS Detector.

Pedro Antonio Gutiérrez, Lan V. Truong, Amal K. Ghosh, 2023, Physical review letters.

Search for the charged-lepton-flavor-violating decay Z→eμ in Pedro Antonio Gutiérrez, Lan V. Truong, Amal K. Ghosh, 2022, Physical Review D.

ATLAS flavour-tagging algorithms for the LHC Run 2 pp collision dataset

Pedro Antonio Gutiérrez, Lan V. Truong, Amal K. Ghosh, 2022, The European Physical Journal C.

Measurements of Higgs boson production by gluon-gluon fusion and vector-boson fusion using H→WW*

Pedro Antonio Gutiérrez, Lan V. Truong, Amal K. Ghosh, 2023, Physical Review D.

Direct top-quark decay width measurement in the t¯t lepton+jets channel at √s = 8 TeV with the ATLAS experiment

Pedro Antonio Gutiérrez, Lan V. Truong, R. A. Creager, 2018 .

ATLAS document

Pedro Antonio Gutiérrez, Lan V. Truong, Amal K. Ghosh, 2019 .

Ordinal Multi-class Architecture for Predicting Wind Power Ramp Events Based on Reservoir Computing

Pedro Antonio Gutiérrez, L. Prieto, C. Hervás-Martínez, 2018, Neural Processing Letters.

Measurement of the CP properties of Higgs boson interactions with τ\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\ta

Pedro Antonio Gutiérrez, Lan V. Truong, Amal K. Ghosh, 2022, The European Physical Journal C.

Anomaly detection search for new resonances decaying into a Higgs boson and a generic new particle X in hadronic final states using

Pedro Antonio Gutiérrez, Lan V. Truong, Amal K. Ghosh, 2023, Physical Review D.

Search for resonant WZ production in the fully leptonic final state in proton–proton collisions at $$\mathbf {\sqrt{s} = 13}$$ s = 13 TeV with the ATLAS detector

Pedro Antonio Gutiérrez, Lan V. Truong, Amal K. Ghosh, 2023, The European Physical Journal C.

Studies of the muon momentum calibration and performance of the ATLAS detector with pp collisions at s=13\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsi

Pedro Antonio Gutiérrez, Lan V. Truong, Amal K. Ghosh, 2022, The European Physical Journal C.

Search for resonant W Z production in the fully leptonic final state inproton–proton collisions at √s = 13 TeV with the ATLAS detector

Pedro Antonio Gutiérrez, Lan V. Truong, Amal K. Ghosh, 2018 .

Performance of the ATLAS track reconstruction algorithms in dense environments in LHC Run 2

Pedro Antonio Gutiérrez, T. Koi, S. Gkaitatzis, 2017, The European Physical Journal. C, Particles and Fields.

Performance of missing transverse momentum reconstruction with the ATLAS detector using proton–proton collisions at \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setle

Pedro Antonio Gutiérrez, Lan V. Truong, R. A. Creager, 2018, The European Physical Journal. C, Particles and Fields.

Search for the direct production of charginos and neutralinos in final states with tau leptons in \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargi

Pedro Antonio Gutiérrez, Lan V. Truong, R. A. Creager, 2017, The European Physical Journal C.

Measurement of longitudinal flow decorrelations in Pb+Pb collisions at \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$

Pedro Antonio Gutiérrez, Lan V. Truong, R. A. Creager, 2017, The European Physical Journal C.

Measurement of the distributions of event-by-event flow harmonics in lead-lead collisions at \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-6

Pedro Antonio Gutiérrez, J. T. Childers, Chang Wei Loh, 2013, Journal of High Energy Physics.

Soft labelling based on triangular distributions for ordinal classification

Pedro Antonio Gutiérrez, V. Vargas, C. Hervás‐Martínez, 2023, Inf. Fusion.

Cluster analysis and forecasting of viruses incidence growth curves: Application to SARS-CoV-2

Pedro Antonio Gutiérrez, D. Guijo-Rubio, Miguel Díaz-Lozano, 2023, Expert Systems with Applications.

Oversampling the Minority Class in the Feature Space

Pedro Antonio Gutiérrez, M. Pérez-Ortiz, P. Tiňo, 2016, IEEE Transactions on Neural Networks and Learning Systems.

Measurement of the polarisation of W bosons produced in top-quark decays using dilepton events at s=

Pedro Antonio Gutiérrez, Lan V. Truong, Amal K. Ghosh, 2022, Physics Letters B.

Search for Majorana neutrinos in same-sign WW scattering events from pp collisions at $$\sqrt{s}=13$$ s = 13 TeV

Pedro Antonio Gutiérrez, James F. Allen, Lan V. Truong, 2023, The European Physical Journal C.

Search for nonresonant pair production of Higgs bosons in the bb¯bb

Pedro Antonio Gutiérrez, Lan V. Truong, Amal K. Ghosh, 2023, Physical Review D.

ATLAS flavour-tagging algorithms for the LHC Run 2 pp collision dataset

Pedro Antonio Gutiérrez, Lan V. Truong, Amal K. Ghosh, 2022, The European Physical Journal C.

Search for displaced photons produced in exotic decays of the Higgs boson using 13 TeV pp collisions with the ATLAS detector

Pedro Antonio Gutiérrez, Lan V. Truong, Amal K. Ghosh, 2022, Physical Review D.

Measurements of Higgs boson production by gluon-gluon fusion and vector-boson fusion using H→WW*

Pedro Antonio Gutiérrez, Lan V. Truong, Amal K. Ghosh, 2022, Physical Review D.

Search for high-mass resonances decaying to dilepton final states in pp collisions at \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \b

Pedro Antonio Gutiérrez, J. T. Childers, Chang Wei Loh, 2012, Journal of High Energy Physics.

Measurements of top-quark pair differential cross-sections in the lepton+jets channel in pp collisions at \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\odds

Pedro Antonio Gutiérrez, Lan V. Truong, Scoap, 2015, The European Physical Journal C.

Search for lepton-flavour-violating H → μτ decays of the Higgs boson with the ATLAS detector

Pedro Antonio Gutiérrez, Lan V. Truong, Scoap, 2015, Journal of High Energy Physics.

Search for the neutral Higgs bosons of the minimal supersymmetric standard model in pp collisions at \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidema

Pedro Antonio Gutiérrez, J. T. Childers, Chang Wei Loh, 2012, Journal of High Energy Physics.

Constraints on new phenomena via Higgs boson couplings and invisible decays with the ATLAS detector

Pedro Antonio Gutiérrez, Lan V. Truong, I. N. Aleksandrov, 2015, Journal of High Energy Physics.

Two-particle Bose–Einstein correlations in pp collisions at $$\mathbf {\sqrt{s} =}$$ s = 0.9 and 7 TeV measured with the ATLAS detector

Pedro Antonio Gutiérrez, J. T. Childers, I. N. Aleksandrov, 2015, The European Physical Journal C.

Search for squarks and gluinos in final states with jets and missing transverse momentum using 139 fb−1 of s\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\od

Pedro Antonio Gutiérrez, Lan V. Truong, Amal K. Ghosh, 2020, Journal of High Energy Physics.

Measurements of the Higgs boson production and decay rates and coupling strengths using pp collision data at \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\o

Pedro Antonio Gutiérrez, Lan V. Truong, J. T. Childers, 2015, The European Physical Journal C.

Measurement of the azimuthal anisotropy of charged-particle production in Xe+Xe collisions at sNN=5.44 TeV with the ATLAS detector

Pedro Antonio Gutiérrez, Lan V. Truong, Amal K. Ghosh, 2020, Physical Review C.

Measurements of inclusive and differential fiducial cross-sections of $$ t\overline{t} $$ production with additional heavy-flavour jets in proton-proton collisions at $$ \sqrt{s} $$ = 13 TeV with the ATLAS detector

Pedro Antonio Gutiérrez, Lan V. Truong, R. A. Creager, 2018, Journal of High Energy Physics.

Measurement of the top-quark mass using a leptonic invariant mass in pp collisions at s\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \

Pedro Antonio Gutiérrez, Lan V. Truong, Amal K. Ghosh, 2022, Journal of High Energy Physics.

Search for third generation scalar leptoquarks in pp collisions at \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$ \sq

Pedro Antonio Gutiérrez, P. Catastini, A. Bocci, 2013, Journal of High Energy Physics.

Search for dark matter in association with an energetic photon in pp collisions at s\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \beg

Pedro Antonio Gutiérrez, Lan V. Truong, Amal K. Ghosh, 2021, Journal of High Energy Physics.

Search for charged Higgs bosons decaying into a top quark and a bottom quark at $$ \sqrt{\mathrm{s}} $$ = 13 TeV with the ATLAS detector

Pedro Antonio Gutiérrez, Lan V. Truong, Amal K. Ghosh, 2021, Journal of High Energy Physics.

New techniques for jet calibration with the ATLAS detector

Pedro Antonio Gutiérrez, Lan V. Truong, Amal K. Ghosh, 2023, The European Physical Journal C.

Measurements of the production cross-section for a Z boson in association with b-jets in proton-proton collisions at s\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \set

Pedro Antonio Gutiérrez, Lan V. Truong, Amal K. Ghosh, 2020, Journal of High Energy Physics.

Search for new phenomena in different-flavour high-mass dilepton final states in pp collisions at \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargi

Pedro Antonio Gutiérrez, Lan V. Truong, Scoap, 2016, The European Physical Journal C.

Search for squarks and gluinos in events with hadronically decaying tau leptons, jets and missing transverse momentum in proton–proton collisions at \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{math

Pedro Antonio Gutiérrez, Lan V. Truong, I. N. Aleksandrov, 2016, The European Physical Journal C.

A search for tt¯\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ t\overline{t} $$\end{document} resonances using lepto

Pedro Antonio Gutiérrez, Lan V. Truong, J. T. Childers, 2015, Journal of High Energy Physics.

Search for single production of vector-like T quarks decaying into Ht or Zt in pp collisions at s\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin

Pedro Antonio Gutiérrez, Lan V. Truong, Amal K. Ghosh, 2023, Journal of High Energy Physics.

ATLAS Document

Pedro Antonio Gutiérrez, J. T. Childers, Chang Wei Loh, 2015 .

Search for Heavy Neutral Leptons in Decays of W Bosons Using a Dilepton Displaced Vertex in sqrt[s]=13 TeV pp Collisions with the ATLAS Detector.

Pedro Antonio Gutiérrez, Lan V. Truong, Amal K. Ghosh, 2022, Physical Review Letters.

Measurement of the Bs0\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ {B}_s^0 $$\end{document}→ μμ effective lifetime

Pedro Antonio Gutiérrez, Lan V. Truong, Amal K. Ghosh, 2023, Journal of High Energy Physics.

Performance of the upgraded PreProcessor of the ATLAS Level-1 Calorimeter Trigger

Pedro Antonio Gutiérrez, Lan V. Truong, Amal K. Ghosh, 2020 .