Beatriz de la Iglesia

Orcid: 0000-0003-2675-5826

According to our database1, Beatriz de la Iglesia authored at least 50 papers between 1996 and 2023.

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

Timeline

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Bibliography

2023
Multiple Imputation Ensembles for Time Series (MIE-TS).
ACM Trans. Knowl. Discov. Data, April, 2023

An Automated Precision Spraying Evaluation System.
Proceedings of the Towards Autonomous Robotic Systems - 24th Annual Conference, 2023

Evaluating the Use of Interpretable Quantized Convolutional Neural Networks for Resource-Constrained Deployment.
Proceedings of the 15th International Joint Conference on Knowledge Discovery, 2023

An Agricultural Precision Sprayer Deposit Identification System.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022
Counting spikelets from infield wheat crop images using fully convolutional networks.
Neural Comput. Appl., 2022

A multi-variate time series clustering approach based on intermediate fusion: A case study in air pollution data imputation.
Neurocomputing, 2022

The Use of Clustering to Understand Disease Progression in Rheumatoid Arthritis.
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022

2020
Multiple Imputation Ensembles (MIE) for Dealing with Missing Data.
SN Comput. Sci., 2020

A scoping review of the use of Twitter for public health research.
Comput. Biol. Medicine, 2020

Legal Judgement Prediction for UK Courts.
Proceedings of the ICISS 2020: The 3rd International Conference on Information Science and System, 2020

An Evolutionary Approach to Automatic Keyword Selection for Twitter Data Analysis.
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020

Clustering Imputation for Air Pollution Data.
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020

2019
Attention-Based Recurrent Neural Networks (RNNs) for Short Text Classification: An Application in Public Health Monitoring.
Proceedings of the Advances in Computational Intelligence, 2019

Deep Learning for Relevance Filtering in Syndromic Surveillance: A Case Study in Asthma/Difficulty Breathing.
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

SpikeletFCN: Counting Spikelets from Infield Wheat Crop Images Using Fully Convolutional Networks.
Proceedings of the Artificial Intelligence and Soft Computing, 2019

2018
Dealing with Missing Data and Uncertainty in the Context of Data Mining.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018

2017
An adaptive version of k-medoids to deal with the uncertainty in clustering heterogeneous data using an intermediary fusion approach.
Knowl. Inf. Syst., 2017

2016
Visualisation of Integrated Patient-Centric Data as Pathways: Enhancing Electronic Medical Records in Clinical Practice.
Proceedings of the Machine Learning for Health Informatics, 2016

2015
Survey on Feature Selection.
CoRR, 2015

Applying Clustering Analysis to Heterogeneous Data Using Similarity Matrix Fusion (SMF).
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2015

2014
Nonmetric multidimensional scaling: A perturbation model for privacy-preserving data clustering.
Stat. Anal. Data Min., 2014

Heuristic Ensemble of Filters for Reliable Feature Selection.
Proceedings of the ICPRAM 2014, 2014

A Fusion Approach to Computing Distance for Heterogeneous Data.
Proceedings of the KDIR 2014 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Rome, Italy, 21, 2014

URL-Based Web Page Classification: With n-Gram Language Models.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2014

URL-based Web Page Classification - A New Method for URL-based Web Page Classification Using n-Gram Language Models.
Proceedings of the KDIR 2014 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Rome, Italy, 21, 2014

2013
Evolutionary computation for feature selection in classification problems.
WIREs Data Mining Knowl. Discov., 2013

BruteSuppression: a size reduction method for Apriori rule sets.
J. Intell. Inf. Syst., 2013

Experimental evaluation of cluster quality measures.
Proceedings of the 13th UK Workshop on Computational Intelligence, 2013

MOEA for clustering: comparison of mutation operators.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012
Non-linear Dimensionality Reduction for Privacy-Preserving Data Classification.
Proceedings of the 2012 International Conference on Privacy, 2012

2011
A Novel Multi-Objective Genetic Algorithm for Clustering.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

Non-metric Multidimensional Scaling for Privacy-Preserving Data Clustering.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

2009
A multi-objective GRASP for partial classification.
Soft Comput., 2009

A multiobjective GRASP for rule selection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2007
Rule Induction for Classification Using Multi-objective Genetic Programming.
Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007

Managing Population Diversity Through the Use of Weighted Objectives and Modified Dominance: An Example from Data Mining.
Proceedings of the IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, 2007

2006
Clustering Rules: A Comparison of Partitioning and Hierarchical Clustering Algorithms.
J. Math. Model. Algorithms, 2006

The application and effectiveness of a multi-objective metaheuristic algorithm for partial classification.
Eur. J. Oper. Res., 2006

Comparison of Documents Classification Techniques to Classify Medical Reports.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Rule Induction Using Multi-Objective Metaheuristics: Encouraging Rule Diversity.
Proceedings of the International Joint Conference on Neural Networks, 2006

A Comparison of Two Document Clustering Approaches for Clustering Medical Documents.
Proceedings of the 2006 International Conference on Data Mining, 2006

Effect of Document Representation on the Performance of Medical Document Classification.
Proceedings of the 2006 International Conference on Data Mining, 2006

2005
Developments on a Multi-objective Metaheuristic (MOMH) Algorithm for Finding Interesting Sets of Classification Rules.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2005

Using Concept Taxonomies for Effective Tree Induction.
Proceedings of the Computational Intelligence and Security, International Conference, 2005

Discovery of Classification Rules from Databases.
Proceedings of the Encyclopedia of Information Science and Technology (5 Volumes), 2005

2003
Algorithms for Identification Key Generation and Optimization with Application to Yeast Identification.
Proceedings of the Applications of Evolutionary Computing, 2003

Data mining rules using multi-objective evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

2002
Determining a unique defining DNA sequence for yeast species using hashing techniques.
Bioinform., 2002

2001
The development and application of heuristic techniques for the data mining task of nugget discovery.
PhD thesis, 2001

1996
Discovering Knowledge in Commercial Databases Using Modern Heuristic Techniques.
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996


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