Laura Fernández-Robles

发表

A segmentation approach for evaluating wear of inserts in milling machines with computer vision techniques

Guillermo Mart́ınez-San-Mart́ın, Laura Fernández-Robles, Enrique Alegre, 2014 .

Adaptive pattern spectrum image description using Euclidean and Geodesic distance without training for texture classification

María Teresa García-Ordás, Laura Fernández-Robles, Enrique Alegre, 2012 .

Evaluation of the State of Cutting Tools According to Its Texture Using LOSIB and LBP Variants

Eduardo Fidalgo, Laura Fernández-Robles, Víctor González-Castro, 2017 .

Local Binary Pattern Features to Detect Anomalies in Machined Workpiece

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

DeepSumm: Exploiting topic models and sequence to sequence networks for extractive text summarization

Laura Fernández-Robles, Enrique Alegre, Akanksha Joshi, 2022, Expert Syst. Appl..

Evaluation of Clustering Configurations for Object Retrieval Using SIFT Features

Laura Fernández-Robles, Enrique Alegre, Javier Alfonso-Cendón, 2015 .

Color Sift Descriptors to Categorize Illegal Activities in Images of Onion Domains

Eduardo Fidalgo, Laura Fernández-Robles, David Matilla, 2020 .

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.

Acrosome integrity assessment of boar spermatozoa images using an early fusion of texture and contour descriptors

Laura Fernández-Robles, Ewert Bengtsson, Enrique Alegre, 2015, Comput. Methods Programs Biomed..

A Fault Detection System for a Geothermal Heat Exchanger Sensor Based on Intelligent Techniques

Héctor Alaiz-Moretón, José Luís Casteleiro-Roca, Esteban Jove, 2019, Sensors.

SummCoder: An unsupervised framework for extractive text summarization based on deep auto-encoders

Eduardo Fidalgo, Laura Fernández-Robles, Enrique Alegre, 2019, Expert Syst. Appl..

Boosting Texture-Based Classification by Describing Statistical Information of Gray-Levels Differences

Eduardo Fidalgo, Laura Fernández-Robles, Manuel Castejón Limas, 2019, Sensors.

Cutting Edge Localisation in an Edge Profile Milling Head

George Azzopardi, Laura Fernández-Robles, Nicolai Petkov, 2015, CAIP.

Use of image processing to monitor tool wear in micro milling

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

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.

Accuracy Analysis in Sensor Networks for Asynchronous Positioning Methods

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

Machine-vision-based identification of broken inserts in edge profile milling heads

George Azzopardi, Laura Fernández-Robles, Nicolai Petkov, 2017 .

Classifying suspicious content in tor darknet through Semantic Attention Keypoint Filtering

Eduardo Fidalgo, Laura Fernández-Robles, Víctor González-Castro, 2019, Digit. Investig..

ToRank: Identifying the most influential suspicious domains in the Tor network

Eduardo Fidalgo, Laura Fernández-Robles, Enrique Alegre, 2019, Expert Syst. Appl..

Texture Descriptors for Automatic Estimation of Workpiece Quality in Milling

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

Burr Detection Using Image Processing in Milling Workpieces

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

3D Tdoa Problem Solution with Four Receiving Nodes

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

A Framework for the Optimization of Complex Cyber-Physical Systems via Directed Acyclic Graph

C. F. Llamas, Laura Fernández-Robles, M. C. Limas, 2022, Sensors.

Improvement of Accent Classification Models Through Grad-Transfer From Spectrograms and Gradient-Weighted Class Activation Mapping

Laura Fernández-Robles, Enrique Alegre, Eduardo Fidalgo, 2023, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Automatic characterisation of chars from the combustion of pulverised coals using machine vision

Laura Fernández-Robles, Enrique Alegre, Deisy Chaves, 2018, Powder Technology.

Object Detection for Crime Scene Evidence Analysis Using Deep Learning

Eduardo Fidalgo, Laura Fernández-Robles, Enrique Alegre, 2017, ICIAP.

Query Based Object Retrieval Using Neural Codes

Eduardo Fidalgo, Laura Fernández-Robles, Enrique Alegre, 2017, SOCO-CISIS-ICEUTE.

Boosting image classification through semantic attention filtering strategies

Eduardo Fidalgo, Laura Fernández-Robles, Víctor González-Castro, 2018, Pattern Recognit. Lett..

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

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

Textile Retrieval Based on Image Content from CDC and Webcam Cameras in Indoor Environments

Eduardo Fidalgo, Laura Fernández-Robles, Enrique Alegre, 2018, Sensors.

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..

Local Oriented Statistics Information Booster (LOSIB) for Texture Classification

Laura Fernández-Robles, Enrique Alegre, Oscar García-Olalla, 2014, 2014 22nd International Conference on Pattern Recognition.

Evaluation of LBP Variants Using Several Metrics and kNN Classifiers

Laura Fernández-Robles, María Teresa García-Ordás, Enrique Alegre, 2013, SISAP.

Adaptive local binary pattern with oriented standard deviation (ALBPS) for texture classification

Laura Fernández-Robles, María Teresa García-Ordás, Enrique Alegre, 2013, EURASIP J. Image Video Process..

Increased generalization capability of trainable COSFIRE filters with application to machine vision

George Azzopardi, Laura Fernández-Robles, Nicolai Petkov, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Illegal Activity Categorisation in DarkNet Based on Image Classification Using CREIC Method

Eduardo Fidalgo, Laura Fernández-Robles, Víctor González-Castro, 2017, SOCO-CISIS-ICEUTE.

Improving named entity recognition in noisy user-generated text with local distance neighbor feature

Eduardo Fidalgo, Laura Fernández-Robles, Enrique Alegre, 2020, Neurocomputing.

Compass radius estimation for improved image classification using Edge-SIFT

Eduardo Fidalgo, Laura Fernández-Robles, Enrique Alegre, 2016, Neurocomputing.

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.

Robust weighted regression via PAELLA sample weights

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

PAELLA as a Booster in Weighted Regression

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

Colour Neural Descriptors for Instance Retrieval Using CNN Features and Colour Models

Laura Fernández-Robles, Enrique Alegre, Surajit Saikia, 2021, IEEE Access.

Identification of milling inserts in situ based on a versatile machine vision system

George Azzopardi, Laura Fernández-Robles, Nicolai Petkov, 2017 .

Image retrieval based on texture using latent space representation of discrete Fourier transformed maps

Eduardo Fidalgo, Laura Fernández-Robles, Enrique Alegre, 2021, Neural Computing and Applications.

Machine-vision-based identification of broken inserts in edge profile milling heads

N. Petkov, Laura Fernández-Roblesa, George Azzopardib, 2017, Robotics and Computer-Integrated Manufacturing.

Tool Wear Classification Using LBP-based Descriptors Combined with LOSIB-based Enhancers

Laura Fernández-Robles, María Teresa García-Ordás, Enrique Alegre, 2015 .

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.

Coupling the PAELLA Algorithm to Predictive Models

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