Javier M. Moguerza

Orcid: 0000-0003-1415-1961

According to our database1, Javier M. Moguerza authored at least 71 papers between 2002 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Hostility measure for multi-level study of data complexity.
Appl. Intell., April, 2023

Support subsets estimation for support vector machines retraining.
Pattern Recognit., 2023

Unconventional application of k-means for distributed approximate similarity search.
Inf. Sci., 2023

Extracting Knowledge from Incompletely Known Models.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023

2022
Biographies of literature writers.
Dataset, September, 2022

Triangle-based outlier detection.
Pattern Recognit. Lett., 2022

Minimally overfitted learners: A general framework for ensemble learning.
Knowl. Based Syst., 2022

Explanation sets: A general framework for machine learning explainability.
Inf. Sci., 2022

General Performance Score for classification problems.
Appl. Intell., 2022

Leadership Styles in Agile Teams: An Analysis Based on Experience.
IEEE Access, 2022

Building robust morphing attacks for face recognition systems.
Proceedings of the 11th Mediterranean Conference on Embedded Computing, 2022

Automatic detection of potential customers by opinion mining and intelligent agents.
Proceedings of the 17th Conference on Computer Science and Intelligence Systems, 2022

2021
Toward Accelerated Training of Parallel Support Vector Machines Based on Voronoi Diagrams.
Entropy, 2021

Stimulating children's engagement with an educational serious videogame using Lean UX co-design.
Entertain. Comput., 2021

Knowledge-Based Approach to Detect Potentially Risky Websites.
IEEE Access, 2021

A Complexity Measure for Binary Classification Problems Based on Lost Points.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021

From Classification to Visualization: A Two Way Trip.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021

2020
A Sentiment Analysis Software Framework for the Support of Business Information Architecture in the Tourist Sector.
Trans. Large Scale Data Knowl. Centered Syst., 2020

Random forest explainability using counterfactual sets.
Inf. Fusion, 2020

A review of machine learning kernel methods in statistical process monitoring.
Comput. Ind. Eng., 2020

Unified Performance Measure for Binary Classification Problems.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

Mathematical Model of a Drilling Mesh to Reduce Dilution in the Sublevel Stoping Method in Peru's Underground Mines.
Proceedings of the Advances in Human Factors, Business Management and Leadership, 2020

Hydrabolt and Split Set Rock Bolt Selection Method Under the Bieniawski Rock Mass Rating for Improving Horizontal Access Support in Peruvian Mid-Scale Mining Activities.
Proceedings of the Advances in Human Factors, Business Management and Leadership, 2020

Method for the Interpretation of RMR Variability Using Gaussian Simulation to Reduce the Uncertainty in Estimations of Geomechanical Models of Underground Mines.
Proceedings of the Advances in Human Factors, Business Management and Leadership, 2020

Fundamental Criteria for Methodology of Blasting Engineering in Mining Grains to Reduce Mineral Dilution in Peruvian Polymetallic Underground Mining.
Proceedings of the Advances in Human Factors, Business Management and Leadership, 2020

Lean Manufacturing Model of Production Management Under the Focus on Maintenance Planned to Improve the Capacity Used in a Plastics Industry SME.
Proceedings of the Advances in Human Factors, Business Management and Leadership, 2020

A Cyanide Tailings Management Method Using Pseudomonas Fluorescens to Improve Conventional Treatments for Progressive Closure at Small Gold Mines.
Proceedings of the Advances in Human Factors, Business Management and Leadership, 2020

2019
A Quality of Experience Management Framework for Mobile Users.
Wirel. Commun. Mob. Comput., 2019

Self-Managing: An Empirical Study of the Practice in Agile Teams.
IEEE Softw., 2019

Business information architecture for successful project implementation based on sentiment analysis in the tourist sector.
J. Intell. Inf. Syst., 2019

Relevance Metric for Counterfactuals Selection in Decision Trees.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Weighted Nearest Centroid Neighbourhood.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Model for Dilution Control Applying Empirical Methods in Narrow Vein Mine Deposits in Peru.
Proceedings of the Advances in Manufacturing, Production Management and Process Control, 2019

Six Sigma-Based Optimization Model in Hauling Cut and Fill Exploitation Activities to Reduce Downtime in Underground Mines in Peru.
Proceedings of the Advances in Manufacturing, Production Management and Process Control, 2019

Production Management Model Based on Lean Manufacturing for Cost Reduction in the Timber Sector in Peru.
Proceedings of the Advances in Manufacturing, Production Management and Process Control, 2019

Production Management Model for Increasing Productivity in Bakery SMEs in Peru.
Proceedings of the Advances in Manufacturing, Production Management and Process Control, 2019

Model for Monitoring Socioenvironmental Conflicts in Relation to the Emission of Particulate Matter in the Prehauling Phase of a Surface Mine in Peru.
Proceedings of the Advances in Manufacturing, Production Management and Process Control, 2019

Service Model Based on Information Technology Outsourcing for the Reduction of Unfulfilled Orders in an SME of the Peruvian IT Sector.
Proceedings of the Advances in Artificial Intelligence, Software and Systems Engineering, 2019

2018
A unified knowledge compiler to provide support the scientific community.
Knowl. Based Syst., 2018

A visual framework for dynamic emotional web analysis.
Knowl. Based Syst., 2018

Combining Entropy Measures for Anomaly Detection.
Entropy, 2018

Entropy Measures for Stochastic Processes with Applications in Functional Anomaly Detection.
Entropy, 2018

Master Data Management Maturity Model for the Microfinance Sector in Peru.
Proceedings of the 2nd International Conference on Information System and Data Mining, 2018

2017
Using Improved Directions of Negative Curvature for the Solution of Bound-Constrained Nonconvex Problems.
J. Optim. Theory Appl., 2017

2016
A multi-stage method for content classification and opinion mining on weblog comments.
Ann. Oper. Res., 2016

2014
Energy efficiency and risk management in public buildings: strategic model for robust planning.
Comput. Manag. Sci., 2014

2012
Combination and Selection of Traffic Safety Expert Judgments for the Prevention of Driving Risks.
Sensors, 2012

2011
Combining and scaling descent and negative curvature directions.
Math. Program., 2011

VRTUOSI - A Pioneer Virtual Exchange Program between Five European Universities.
Proceedings of the CSEDU 2011, 2011

2010
Bayesian Reliability, Availability, and Maintainability Analysis for Hardware Systems Described Through Continuous Time Markov Chains.
Technometrics, 2010

Methods for the combination of kernel matrices within a support vector framework.
Mach. Learn., 2010

Comparing Smoothing Techniques on Fertility Data.
Proceedings of the 9th Mexican International Conference on Artificial Intelligence, 2010

2009
Improving directions of negative curvature in an efficient manner.
Ann. Oper. Res., 2009

2008
Nonconvex optimization using negative curvature within a modified linesearch.
Eur. J. Oper. Res., 2008

2007
A note on the use of vector barrier parameters for interior-point methods.
Eur. J. Oper. Res., 2007

Monitoring Nonlinear Profiles Using Support Vector Machines.
Proceedings of the Progress in Pattern Recognition, 2007

2006
Estimation of High-Density Regions Using One-Class Neighbor Machines.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

On the Fusion of Polynomial Kernels for Support Vector Classifiers.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Alternatives to Parameter Selection for Kernel Methods.
Proceedings of the Artificial Neural Networks, 2006

Fusion of Gaussian Kernels Within Support Vector Classification.
Proceedings of the Progress in Pattern Recognition, 2006

2005
Building Smooth Neighbourhood Kernels via Functional Data Analysis.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

A Naive Solution to the One-Class Problem and Its Extension to Kernel Methods.
Proceedings of the Progress in Pattern Recognition, 2005

2004
Improving Support Vector Classification via the Combination of Multiple Sources of Information.
Proceedings of the Structural, 2004

Solving the One-Class Problem Using Neighbourhood Measures.
Proceedings of the Structural, 2004

Combining Kernel Information for Support Vector Classification.
Proceedings of the Multiple Classifier Systems, 5th International Workshop, 2004

One-Class Support Vector Machines and Density Estimation: The Precise Relation.
Proceedings of the Progress in Pattern Recognition, 2004

2003
Combining search directions using gradient flows.
Math. Program., 2003

An augmented Lagrangian interior-point method using directions of negative curvature.
Math. Program., 2003

Combining Support Vector Machines and ARTMAP Architectures for Natural Classification.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

Support Vector Machine Classifiers for Asymmetric Proximities.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002
Detecting the Number of Clusters Using a Support Vector Machine Approach.
Proceedings of the Artificial Neural Networks, 2002


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