Lidia Sánchez-González

发表

Evaluation of teamwork competence acquisition by using CTMTC methodology and learning analytics techniques

Vicente Matellán Olivera, Francisco J. Rodríguez Lera, Miguel Ángel Conde González, 2016, TEEM.

Coupling the PAELLA Algorithm to Predictive Models

Héctor Alaiz-Moretón, Laura Fernández-Robles, Manuel Castejón Limas, 2017, SOCO-CISIS-ICEUTE.

Experimental assessment of quality in injection parts using a fuzzy system with adaptive membership functions

Hilde Pérez, Lidia Sánchez-González, A. Vizán, 2020, Neurocomputing.

Ground-level ozone predictions using outlier identification leveraged sample weighted regressors

Héctor Alaiz-Moretón, Laura Fernández-Robles, Manuel Castejón Limas, 2018, J. Exp. Theor. Artif. Intell..

Handwritten digit recognition using neural networks and dynamic zoning with stroke-based descriptors

David Álvarez, Lidia Sánchez-González, Ramón Ángel Fernández Díaz, 2017, Log. J. IGPL.

Texture Descriptors for Automatic Estimation of Workpiece Quality in Milling

Laura Fernández-Robles, Manuel Castejón Limas, Hilde Pérez, 2019, HAIS.

Data Mining Techniques for the Estimation of Variables in Health-Related Noisy Data

Héctor Alaiz-Moretón, Laura Fernández-Robles, Manuel Castejón Limas, 2017, SOCO-CISIS-ICEUTE.

Genetic Algorithm Approach to the 3D Node Localization in TDOA Systems

Manuel Castejón Limas, Hilde Pérez, Lidia Sánchez-González, 2019, Sensors.

Design and Implementation of a Stereo Vision System on an Innovative 6DOF Single-Edge Machining Device for Tool Tip Localization and Path Correction †

Laura Fernández-Robles, Hilde Pérez, Lidia Sánchez-González, 2018, Sensors.

The Boundary Element Method Applied to the Resolution of Problems in Strength of Materials and Elasticity Courses

Lidia Sánchez-González, J. Vallepuga-Espinosa, Iván Ubero-Martínez, 2018, SOCO-CISIS-ICEUTE.

Parallel Performance of the Boundary Element Method in Thermoelastic Contact Problems

Lidia Sánchez-González, Raquel González, José Vallepuga, 2017, SOCO-CISIS-ICEUTE.

Use of image processing to monitor tool wear in micro milling

Laura Fernández-Robles, Hilde Pérez, Lidia Sánchez-González, 2020, Neurocomputing.

Design and Implementation of a Vision System on an Innovative Single Point Micro-machining Device for Tool Tip Localization

Hilde Pérez, Lidia Sánchez-González, Antonio Vizán, 2017, SOCO-CISIS-ICEUTE.

Burr Detection Using Image Processing in Milling Workpieces

Laura Fernández-Robles, Manuel Castejón Limas, Lidia Sánchez-González, 2020, SOCO.

Tool Wear Estimation and Visualization Using Image Sensors in Micro Milling Manufacturing

Laura Fernández-Robles, Manuel Castejón Limas, Hilde Pérez, 2018, HAIS.

Strong classification system for wear identification on milling processes using computer vision and ensemble learning

Laura Fernández-Robles, Hilde Pérez, Lidia Sánchez-González, 2020, Neurocomputing.

3D Tdoa Problem Solution with Four Receiving Nodes

Laura Fernández-Robles, Manuel Castejón Limas, Hilde Pérez, 2019, Sensors.

A WebQuest Framework to Improve the Study of Deadlock and Process Synchronization

Lidia Sánchez-González, Ramón Ángel Fernández Díaz, Luis Panizo, 2007, J. Univers. Comput. Sci..

Prediction of academic success through interaction with version control systems

Lidia Sánchez-González, Ángel Manuel Guerrero-Higueras, Miguel Ángel Conde, 2019 .

Local Binary Pattern Features to Detect Anomalies in Machined Workpiece

Laura Fernández-Robles, Manuel Castejón Limas, Lidia Sánchez-González, 2020, HAIS.

Expert System for Handwritten Numeral Recognition Using Dynamic Zoning

Lidia Sánchez-González, Ramón Ángel Fernández Díaz, David Álvarez, 2015, HAIS.

PAELLA as a Booster in Weighted Regression

Héctor Alaiz-Moretón, Laura Fernández-Robles, Manuel Castejón Limas, 2017, SOCO-CISIS-ICEUTE.

Facilitating the learning process in parallel computing by using instant messaging

Miguel Ángel Conde González, Manuel Castejón Limas, Miguel Ángel Conde-González, 2021, J. Supercomput..

Use of classifiers and recursive feature elimination to assess boar sperm viability

Héctor Quintián-Pardo, Emilio Corchado, Laura Fernández-Robles, 2018, Log. J. IGPL.

Non-removal strategy for outliers in predictive models: The PAELLA algorithm case

Héctor Alaiz-Moretón, Laura Fernández-Robles, Manuel Castejón Limas, 2019, Log. J. IGPL.

Combined Noise and Clock CRLB Error Model for the Optimization of Node Location in Time Positioning Systems

Lidia Sánchez-González, Hilde Perez, Javier Díez-Gonzalez, 2020, IEEE Access.

Stroke-Based Intelligent Word Recognition Using a Formal Language

Lidia Sánchez-González, Ramón Ángel Fernández Díaz, David Álvarez, 2015, SOCO.

Facilitating the learning process in parallel computing by using instant messaging

Nicolai Petkov, Lidia Sánchez-González, Ángel Manuel Guerrero-Higueras, 2019 .

Robust weighted regression via PAELLA sample weights

Héctor Alaiz-Moretón, Camino Fernández, Laura Fernández-Robles, 2020, Neurocomputing.

Special issue on Hybrid Artificial Intelligence Systems from HAIS 2016 Conference

Héctor Quintián-Pardo, Emilio Corchado, Hilde Pérez, 2019, Neurocomputing.

Texture Descriptors for Automatic Classification of Surface Defects of the Hot-Rolled Steel Strip

Lidia Sánchez-González, Alexis Gutiérrez-Fernández, Virginia Riego-Del Castillo, 2021, SOCO.

Classification of Burrs Using Contour Features of Image in Milling Workpieces

Lidia Sánchez-González, Claudia Álvarez-Aparicio, Virginia Riego-Del Castillo, 2021, HAIS.

Application of peer review techniques in engineering education

Miguel Á. Conde, Francisco Javier Rodríguez Lera, Lidia Sánchez-González, 2017 .