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Javier M. Moguerza
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2020 – today
- 2024
- [j35]Raúl Moreno, Alberto Fernández-Isabel, Víctor Aceña, Isaac Martín de Diego, Javier M. Moguerza:
Tourist services management through clients scoring using a bio-inspired agent architecture. Comput. Sci. Inf. Syst. 21(4): 1243-1268 (2024) - [i2]Elena Garcia-Morato, María Jesús Algar, César Alfaro, Felipe Ortega, Javier Gomez, Javier M. Moguerza:
Using k-medoids for distributed approximate similarity search with arbitrary distances. CoRR abs/2405.13795 (2024) - 2023
- [j34]Carmen Lancho, Isaac Martín de Diego, Marina Cuesta, Víctor Aceña, Javier M. Moguerza:
Hostility measure for multi-level study of data complexity. Appl. Intell. 53(7): 8073-8096 (2023) - [j33]Felipe Ortega, María Jesús Algar, Isaac Martín de Diego, Javier M. Moguerza:
Unconventional application of k-means for distributed approximate similarity search. Inf. Sci. 619: 208-234 (2023) - [j32]Víctor Aceña, Isaac Martín de Diego, Rubén R. Fernández, Javier M. Moguerza:
Support subsets estimation for support vector machines retraining. Pattern Recognit. 134: 109117 (2023) - [c36]Alejandro D. Peribáñez, Alberto Fernández-Isabel, Isaac Martín de Diego, Andrea Condado, Javier M. Moguerza:
Extracting Knowledge from Incompletely Known Models. IDEAL 2023: 257-268 - 2022
- [j31]Gema Gutiérrez, María Teresa González de Lena, Javier Garzás, Javier M. Moguerza:
Leadership Styles in Agile Teams: An Analysis Based on Experience. IEEE Access 10: 19232-19241 (2022) - [j30]Isaac Martín de Diego, Ana R. Redondo, Rubén R. Fernández, Jorge Navarro, Javier M. Moguerza:
General Performance Score for classification problems. Appl. Intell. 52(10): 12049-12063 (2022) - [j29]Rubén R. Fernández, Isaac Martín de Diego, Javier M. Moguerza, Francisco Herrera:
Explanation sets: A general framework for machine learning explainability. Inf. Sci. 617: 464-481 (2022) - [j28]Víctor Aceña, Isaac Martín de Diego, Rubén R. Fernández, Javier M. Moguerza:
Minimally overfitted learners: A general framework for ensemble learning. Knowl. Based Syst. 254: 109669 (2022) - [j27]Jorge Navarro, Isaac Martín de Diego, Rubén R. Fernández, Javier M. Moguerza:
Triangle-based outlier detection. Pattern Recognit. Lett. 156: 152-159 (2022) - [c35]Raúl Moreno, Alberto Fernández-Isabel, Isaac Martín de Diego, Javier M. Moguerza, Carmen Lancho, Marina Cuesta:
Automatic detection of potential customers by opinion mining and intelligent agents. FedCSIS 2022: 93-101 - [c34]Roberto Gallardo-Cava, David Ortega-delCampo, Daniel Palacios-Alonso, Cristina Conde, Javier M. Moguerza, Enrique Cabello:
Building robust morphing attacks for face recognition systems. MECO 2022: 1-4 - [d1]Javier Gómez, César Alfaro, Felipe Ortega, María Jesús Algar, Javier M. Moguerza:
Biographies of literature writers. IEEE DataPort, 2022 - [i1]Felipe Ortega, María Jesús Algar, Isaac Martín de Diego, Javier M. Moguerza:
Unconventional application of k-means for distributed approximate similarity search. CoRR abs/2208.02734 (2022) - 2021
- [j26]Juan Carlos Prieto, Alberto Fernández-Isabel, Isaac Martín de Diego, Felipe Ortega, Javier M. Moguerza:
Knowledge-Based Approach to Detect Potentially Risky Websites. IEEE Access 9: 11633-11643 (2021) - [j25]Maria C. Ramos-Vega, Victor M. Palma-Morales, Diana Pérez-Marín, Javier M. Moguerza:
Stimulating children's engagement with an educational serious videogame using Lean UX co-design. Entertain. Comput. 38: 100405 (2021) - [j24]César Alfaro, Javier Gómez, Javier M. Moguerza, Javier Castillo, José Ignacio Martínez:
Toward Accelerated Training of Parallel Support Vector Machines Based on Voronoi Diagrams. Entropy 23(12): 1605 (2021) - [c33]Carmen Lancho, Isaac Martín de Diego, Marina Cuesta, Víctor Aceña, Javier M. Moguerza:
A Complexity Measure for Binary Classification Problems Based on Lost Points. IDEAL 2021: 137-146 - [c32]Marina Cuesta, Isaac Martín de Diego, Carmen Lancho, Víctor Aceña, Javier M. Moguerza:
From Classification to Visualization: A Two Way Trip. IDEAL 2021: 289-299 - 2020
- [j23]Anastasios Apsemidis, Stelios Psarakis, Javier M. Moguerza:
A review of machine learning kernel methods in statistical process monitoring. Comput. Ind. Eng. 142: 106376 (2020) - [j22]Rubén R. Fernández, Isaac Martín de Diego, Víctor Aceña, Alberto Fernández-Isabel, Javier M. Moguerza:
Random forest explainability using counterfactual sets. Inf. Fusion 63: 196-207 (2020) - [j21]Javier Murga, Gianpierre Zapata, Heyul Chavez, Carlos Raymundo, Luis Rivera, Francisco Dominguez, Javier M. Moguerza, José María Álvarez Rodríguez:
A Sentiment Analysis Software Framework for the Support of Business Information Architecture in the Tourist Sector. Trans. Large Scale Data Knowl. Centered Syst. 45: 199-219 (2020) - [c31]Erika Barrezueta-Delgado, Naysha Blas-Trujillo, Yaneth Vasquez-Olivera, Carlos Raymundo, Nestor Mamani-Macedo, Javier M. Moguerza:
A Cyanide Tailings Management Method Using Pseudomonas Fluorescens to Improve Conventional Treatments for Progressive Closure at Small Gold Mines. AHFE (9) 2020: 328-334 - [c30]Nayrim Fuentes-Rivera-Yon, Luis Arauzo-Gallardo, Carlos Raymundo, Nestor Mamani-Macedo, Javier M. Moguerza:
Fundamental Criteria for Methodology of Blasting Engineering in Mining Grains to Reduce Mineral Dilution in Peruvian Polymetallic Underground Mining. AHFE (9) 2020: 335-341 - [c29]Juliet Rodriguez-Vilca, Jose Paucar-Vilcañaupa, Humberto Pehovaz-Alvarez, Carlos Raymundo, Nestor Mamani-Macedo, Javier M. Moguerza:
Method for the Interpretation of RMR Variability Using Gaussian Simulation to Reduce the Uncertainty in Estimations of Geomechanical Models of Underground Mines. AHFE (9) 2020: 342-349 - [c28]Carlos Toscano-Alor, Antoni Castillo-Rodil, Humberto Pehovaz-Alvarez, Carlos Raymundo, Nestor Mamani-Macedo, Javier M. Moguerza:
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. AHFE (9) 2020: 359-365 - [c27]Yadira Zelaya-Reyes, Luis Arauzo-Gallardo, Guillermo Diaz-Huaina, Carlos Raymundo, Nestor Mamani-Macedo, Javier M. Moguerza:
Mathematical Model of a Drilling Mesh to Reduce Dilution in the Sublevel Stoping Method in Peru's Underground Mines. AHFE (9) 2020: 366-373 - [c26]Diana Fernández-Marca, Karla Mostacero-Rojas, Victor Núñez-Ponce, Carlos Raymundo, Nestor Mamani-Macedo, Javier M. Moguerza:
Lean Manufacturing Model of Production Management Under the Focus on Maintenance Planned to Improve the Capacity Used in a Plastics Industry SME. AHFE (9) 2020: 448-454 - [c25]Ana R. Redondo, Jorge Navarro, Rubén R. Fernández, Isaac Martín de Diego, Javier M. Moguerza, Juan José Fernández-Muñoz:
Unified Performance Measure for Binary Classification Problems. IDEAL (2) 2020: 104-112
2010 – 2019
- 2019
- [j20]Gianpierre Zapata, Javier Murga, Carlos Raymundo, Francisco Dominguez, Javier M. Moguerza, José María Álvarez Rodríguez:
Business information architecture for successful project implementation based on sentiment analysis in the tourist sector. J. Intell. Inf. Syst. 53(3): 563-585 (2019) - [j19]Gema Gutiérrez, Javier Garzás, María Teresa González de Lena, Javier M. Moguerza:
Self-Managing: An Empirical Study of the Practice in Agile Teams. IEEE Softw. 36(1): 23-27 (2019) - [j18]María Jesús Algar, Isaac Martín de Diego, Alberto Fernández-Isabel, Miguel Ángel Monjas, Felipe Ortega, Javier M. Moguerza, Hektor Jacynycz:
A Quality of Experience Management Framework for Mobile Users. Wirel. Commun. Mob. Comput. 2019: 2352941:1-2352941:11 (2019) - [c24]Renato Bobadilla, Alejandra Mendez, Gino Viacava, Carlos Raymundo, Javier M. Moguerza:
Service Model Based on Information Technology Outsourcing for the Reduction of Unfulfilled Orders in an SME of the Peruvian IT Sector. AHFE (14) 2019: 311-321 - [c23]Kevin Rojas, Vidal Aramburu, Edgar Ramos, Carlos Raymundo, Javier M. Moguerza:
Six Sigma-Based Optimization Model in Hauling Cut and Fill Exploitation Activities to Reduce Downtime in Underground Mines in Peru. AHFE (20) 2019: 365-375 - [c22]Marcio Filomeno, Josemaria Heracles, Vidal Aramburu, Carlos Raymundo, Javier M. Moguerza:
Model for Monitoring Socioenvironmental Conflicts in Relation to the Emission of Particulate Matter in the Prehauling Phase of a Surface Mine in Peru. AHFE (20) 2019: 395-406 - [c21]Luis Salgado-Medina, Diego Núñez-Ramírez, Humberto Pehovaz-Alvarez, Carlos Raymundo, Javier M. Moguerza:
Model for Dilution Control Applying Empirical Methods in Narrow Vein Mine Deposits in Peru. AHFE (20) 2019: 435-445 - [c20]Fiorella Lastra, Nicolás Meneses, Ernesto Altamirano, Carlos Raymundo, Javier M. Moguerza:
Production Management Model Based on Lean Manufacturing for Cost Reduction in the Timber Sector in Peru. AHFE (20) 2019: 467-476 - [c19]Junior Huallpa, Tomás Vera, Ernesto Altamirano, Carlos Raymundo, Javier M. Moguerza:
Production Management Model for Increasing Productivity in Bakery SMEs in Peru. AHFE (20) 2019: 477-485 - [c18]Rubén R. Fernández, Isaac Martín de Diego, Víctor Aceña, Javier M. Moguerza, Alberto Fernández-Isabel:
Relevance Metric for Counterfactuals Selection in Decision Trees. IDEAL (1) 2019: 85-93 - [c17]Víctor Aceña, Javier M. Moguerza, Isaac Martín de Diego, Rubén R. Fernández:
Weighted Nearest Centroid Neighbourhood. IDEAL (1) 2019: 94-101 - 2018
- [j17]Gabriel Martos, Nicolás Hernández, Alberto Muñoz, Javier M. Moguerza:
Entropy Measures for Stochastic Processes with Applications in Functional Anomaly Detection. Entropy 20(1): 33 (2018) - [j16]Alberto Muñoz, Nicolás Hernández, Javier M. Moguerza, Gabriel Martos:
Combining Entropy Measures for Anomaly Detection. Entropy 20(9): 698 (2018) - [j15]Isaac Martín de Diego, Alberto Fernández-Isabel, Felipe Ortega, Javier M. Moguerza:
A visual framework for dynamic emotional web analysis. Knowl. Based Syst. 145: 264-273 (2018) - [j14]Alberto Fernández-Isabel, Juan Carlos Prieto, Felipe Ortega, Isaac Martín de Diego, Javier M. Moguerza, José Mena, Sara Galindo, Liana Napalkova:
A unified knowledge compiler to provide support the scientific community. Knowl. Based Syst. 161: 157-171 (2018) - [c16]Daniel Vásquez Zúñiga, Romina Kukurelo Cruz, Carlos Raymundo Ibañez, Francisco Dominguez, Javier M. Moguerza:
Master Data Management Maturity Model for the Microfinance Sector in Peru. ICISDM 2018: 49-53 - 2017
- [j13]Javier Cano, Javier M. Moguerza, Francisco J. Prieto:
Using Improved Directions of Negative Curvature for the Solution of Bound-Constrained Nonconvex Problems. J. Optim. Theory Appl. 174(2): 474-499 (2017) - 2016
- [j12]César Alfaro, Javier Cano-Montero, Javier Gómez, Javier M. Moguerza, Felipe Ortega:
A multi-stage method for content classification and opinion mining on weblog comments. Ann. Oper. Res. 236(1): 197-213 (2016) - 2014
- [j11]Emilio L. Cano, Javier M. Moguerza, Tatiana Ermolieva, Yuri M. Ermoliev:
Energy efficiency and risk management in public buildings: strategic model for robust planning. Comput. Manag. Sci. 11(1-2): 25-44 (2014) - 2012
- [j10]Enrique Cabello, Cristina Conde, Isaac Martín de Diego, Javier M. Moguerza, Andrés Redchuk:
Combination and Selection of Traffic Safety Expert Judgments for the Prevention of Driving Risks. Sensors 12(11): 14711-14729 (2012) - 2011
- [j9]Catarina P. Avelino, Javier M. Moguerza, Alberto Olivares, Francisco J. Prieto:
Combining and scaling descent and negative curvature directions. Math. Program. 128(1-2): 285-319 (2011) - [c15]Andrés Redchuk, Javier M. Moguerza, Javier Cano-Montero:
VRTUOSI - A Pioneer Virtual Exchange Program between Five European Universities. CSEDU (1) 2011: 297-303 - 2010
- [j8]Isaac Martín de Diego, Alberto Muñoz, Javier M. Moguerza:
Methods for the combination of kernel matrices within a support vector framework. Mach. Learn. 78(1-2): 137-174 (2010) - [j7]Javier Cano-Montero, Javier M. Moguerza, David Ríos Insua:
Bayesian Reliability, Availability, and Maintainability Analysis for Hardware Systems Described Through Continuous Time Markov Chains. Technometrics 52(3): 324-334 (2010) - [c14]Javier M. Moguerza, Alberto Olivares, Anastasia Kostaki, Stelios Psarakis:
Comparing Smoothing Techniques on Fertility Data. MICAI (Special Sessions) 2010: 124-128
2000 – 2009
- 2009
- [j6]Alberto Olivares, Javier M. Moguerza:
Improving directions of negative curvature in an efficient manner. Ann. Oper. Res. 166(1): 183-201 (2009) - 2008
- [j5]Alberto Olivares, Javier M. Moguerza, Francisco J. Prieto:
Nonconvex optimization using negative curvature within a modified linesearch. Eur. J. Oper. Res. 189(3): 706-722 (2008) - 2007
- [j4]Javier M. Moguerza, Alberto Olivares, Francisco J. Prieto:
A note on the use of vector barrier parameters for interior-point methods. Eur. J. Oper. Res. 181(2): 571-585 (2007) - [c13]Javier M. Moguerza, Alberto Muñoz, Stelios Psarakis:
Monitoring Nonlinear Profiles Using Support Vector Machines. CIARP 2007: 574-583 - 2006
- [j3]Alberto Muñoz, Javier M. Moguerza:
Estimation of High-Density Regions Using One-Class Neighbor Machines. IEEE Trans. Pattern Anal. Mach. Intell. 28(3): 476-480 (2006) - [c12]Javier M. Moguerza, Alberto Muñoz, Isaac Martín de Diego:
Fusion of Gaussian Kernels Within Support Vector Classification. CIARP 2006: 945-953 - [c11]Alberto Muñoz, Isaac Martín de Diego, Javier M. Moguerza:
Alternatives to Parameter Selection for Kernel Methods. ICANN (1) 2006: 216-225 - [c10]Isaac Martín de Diego, Javier M. Moguerza, Alberto Muñoz:
On the Fusion of Polynomial Kernels for Support Vector Classifiers. IDEAL 2006: 330-337 - 2005
- [c9]Alberto Muñoz, Javier M. Moguerza:
A Naive Solution to the One-Class Problem and Its Extension to Kernel Methods. CIARP 2005: 193-204 - [c8]Alberto Muñoz, Javier M. Moguerza:
Building Smooth Neighbourhood Kernels via Functional Data Analysis. ICANN (2) 2005: 631-636 - 2004
- [c7]Alberto Muñoz, Javier M. Moguerza:
One-Class Support Vector Machines and Density Estimation: The Precise Relation. CIARP 2004: 216-223 - [c6]Isaac Martín de Diego, Javier M. Moguerza, Alberto Muñoz:
Combining Kernel Information for Support Vector Classification. Multiple Classifier Systems 2004: 102-111 - [c5]Javier M. Moguerza, Alberto Muñoz, Isaac Martín de Diego:
Improving Support Vector Classification via the Combination of Multiple Sources of Information. SSPR/SPR 2004: 592-600 - [c4]Javier M. Moguerza, Alberto Muñoz:
Solving the One-Class Problem Using Neighbourhood Measures. SSPR/SPR 2004: 680-688 - 2003
- [j2]Javier M. Moguerza, Francisco J. Prieto:
An augmented Lagrangian interior-point method using directions of negative curvature. Math. Program. 95(3): 573-616 (2003) - [j1]Javier M. Moguerza, Francisco J. Prieto:
Combining search directions using gradient flows. Math. Program. 96(3): 529-559 (2003) - [c3]Alberto Muñoz, Isaac Martín de Diego, Javier M. Moguerza:
Support Vector Machine Classifiers for Asymmetric Proximities. ICANN 2003: 217-224 - [c2]Alberto Muñoz, Javier M. Moguerza:
Combining Support Vector Machines and ARTMAP Architectures for Natural Classification. KES 2003: 16-21 - 2002
- [c1]Javier M. Moguerza, Alberto Muñoz, Manuel Martín-Merino:
Detecting the Number of Clusters Using a Support Vector Machine Approach. ICANN 2002: 763-768
Coauthor Index
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last updated on 2024-11-08 20:32 CET by the dblp team
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