Rocío Alaíz-Rodríguez

Orcid: 0000-0003-4164-5887

According to our database1, Rocío Alaíz-Rodríguez authored at least 46 papers between 2002 and 2024.

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

Timeline

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Bibliography

2024
Combining shape and contour features to improve tool wear monitoring in milling processes.
CoRR, 2024

Tool wear monitoring using an online, automatic and low cost system based on local texture.
CoRR, 2024

RankSum An unsupervised extractive text summarization based on rank fusion.
CoRR, 2024

A comparative study on feature selection for a risk prediction model for colorectal cancer.
CoRR, 2024

2023
Classifying spam emails using agglomerative hierarchical clustering and a topic-based approach.
Appl. Soft Comput., May, 2023

A review of spam email detection: analysis of spammer strategies and the dataset shift problem.
Artif. Intell. Rev., February, 2023

SERT: A Transfomer Based Model for Spatio-Temporal Sensor Data with Missing Values for Environmental Monitoring.
CoRR, 2023

PhiKitA: Phishing Kit Attacks Dataset for Phishing Websites Identification.
IEEE Access, 2023

2022
Phishing websites detection using a novel multipurpose dataset and web technologies features.
Expert Syst. Appl., 2022

RankSum - An unsupervised extractive text summarization based on rank fusion.
Expert Syst. Appl., 2022

Detecting malware using text documents extracted from spam email through machine learning.
Proceedings of the 22nd ACM Symposium on Document Engineering, 2022

2021
Trustworthiness of spam email addresses using machine learning.
Proceedings of the DocEng '21: ACM Symposium on Document Engineering 2021, 2021

2020
Assessment and Estimation of Face Detection Performance Based on Deep Learning for Forensic Applications.
Sensors, 2020

Rectification and Super-Resolution Enhancements for Forensic Text Recognition.
Sensors, 2020

An information theoretic approach to quantify the stability of feature selection and ranking algorithms.
Knowl. Based Syst., 2020

Machine Learning Techniques for the Detection of Inappropriate Erotic Content in Text.
Int. J. Comput. Intell. Syst., 2020

Short Text Classification Approach to Identify Child Sexual Exploitation Material.
CoRR, 2020

A Machine Learning Approach for Lamb Meat Quality Assessment Using FTIR Spectra.
IEEE Access, 2020

File Name Classification Approach to Identify Child Sexual Abuse.
Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020

2019
A comparative study on feature selection for a risk prediction model for colorectal cancer.
Comput. Methods Programs Biomed., 2019

Use of Natural Language Processing to Identify Inappropriate Content in Text.
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019

2018
Combining shape and contour features to improve tool wear monitoring in milling processes.
Int. J. Prod. Res., 2018

2017
Assessing Feature Selection Techniques for a Colorectal Cancer Prediction Model.
Proceedings of the International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, 2017

2013
Class distribution estimation based on the Hellinger distance.
Inf. Sci., 2013

2012
A unifying view on dataset shift in classification.
Pattern Recognit., 2012

Texture and moments-based classification of the acrosome integrity of boar spermatozoa images.
Comput. Methods Programs Biomed., 2012

2011
Class and subclass probability re-estimation to adapt a classifier in the presence of concept drift.
Neurocomputing, 2011

Feature Selection Stability Assessment Based on the Jensen-Shannon Divergence.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2010
Estimating Class Proportions in Boar Semen Analysis Using the Hellinger Distance.
Proceedings of the Trends in Applied Intelligent Systems, 2010

Surface Finish Control in Machining Processes Using Haralick Descriptors and Neuronal Networks.
Proceedings of the Computational Modeling of Objects Represented in Images, 2010

2009
Cost-sensitive learning based on Bregman divergences.
Mach. Learn., 2009

Improving Classification under Changes in Class and Within-Class Distributions.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

2008
A Visualization-Based Exploratory Technique for Classifier Comparison with Respect to Multiple Metrics and Multiple Domains.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Visualizing Classifier Performance on Different Domains.
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

Classification and Quantification Based on Image Analysis for Sperm Samples with Uncertain Damaged/Intact Cell Proportions.
Proceedings of the Image Analysis and Recognition, 5th International Conference, 2008

Assessing the Impact of Changing Environments on Classifier Performance.
Proceedings of the Advances in Artificial Intelligence , 2008

Local Decision Bagging of Binary Neural Classifiers.
Proceedings of the Advances in Artificial Intelligence , 2008

2007
Minimax Regret Classifier for Imprecise Class Distributions.
J. Mach. Learn. Res., 2007

2005
Minimax classifiers based on neural networks.
Pattern Recognit., 2005

Loss functions to combine learning and decision in multiclass problems.
Neurocomputing, 2005

Tool Insert Wear Classification Using Statistical Descriptors and Neuronal Networks.
Proceedings of the Progress in Pattern Recognition, 2005

2004
A fixed-point algorithm to minimax learning with neural networks.
IEEE Trans. Syst. Man Cybern. Part C, 2004

Local estimation of posterior class probabilities to minimize classification errors.
IEEE Trans. Neural Networks, 2004

2002
Text classification based on posterior probability estimation and neural networks.
Proceedings of the Pattern Recognition in Information Systems, 2002

Minimax strategies for training classifiers under unknown priors.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Neural Minimax Classifiers.
Proceedings of the Artificial Neural Networks, 2002


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