Beatriz de la Iglesia

ORCID

Publication Activity (10 Years)

Years Active: 1996-2023
Publications (10 Years): 18

Top Venues

University of East Anglia, UK (PHD)

Education History

University of East Anglia, UK

PHD

Publications

Harry Rogers, Beatriz de la Iglesia, Tahmina Zebin, Grzegorz Cielniak, Ben Magri
An Automated Precision Spraying Evaluation System. TAROS (2023)
Harry Rogers, Beatriz de la Iglesia, Tahmina Zebin, Grzegorz Cielniak, Ben Magri
An Agricultural Precision Sprayer Deposit Identification System. CASE (2023)
Aliya Aleryani, Aaron Bostrom, Wenjia Wang, Beatriz de la Iglesia
Multiple Imputation Ensembles for Time Series (MIE-TS). ACM Trans. Knowl. Discov. Data 17 (3) (2023)
Harry Rogers, Beatriz de la Iglesia, Tahmina Zebin
Evaluating the Use of Interpretable Quantized Convolutional Neural Networks for Resource-Constrained Deployment. KDIR (2023)
Beatriz de la Iglesia, Kathapet Nawongs, Jack Dainty, Alexander MacGregor
The Use of Clustering to Understand Disease Progression in Rheumatoid Arthritis. MetroXRAINE (2022)
Wedad Alahamade, Iain Lake, Claire E. Reeves, Beatriz de la Iglesia
A multi-variate time series clustering approach based on intermediate fusion: A case study in air pollution data imputation. Neurocomputing 490 (2022)
Benjamin Strickson, Beatriz de la Iglesia
Legal Judgement Prediction for UK Courts. ICISS (2020)
Oduwa Edo-Osagie, Beatriz de la Iglesia, Iain Lake, Obaghe Edeghere
A scoping review of the use of Twitter for public health research. Comput. Biol. Medicine 122 (2020)
Aliya Aleryani, Wenjia Wang, Beatriz de la Iglesia
Multiple Imputation Ensembles (MIE) for Dealing with Missing Data. SN Comput. Sci. 1 (3) (2020)
Oduwa Edo-Osagie, Beatriz de la Iglesia, Iain Lake, Obaghe Edeghere
An Evolutionary Approach to Automatic Keyword Selection for Twitter Data Analysis. HAIS (2020)
Wedad Alahamade, Iain Lake, Claire E. Reeves, Beatriz de la Iglesia
Clustering Imputation for Air Pollution Data. HAIS (2020)
Oduwa Edo-Osagie, Beatriz de la Iglesia, Iain Lake, Obaghe Edeghere
Deep Learning for Relevance Filtering in Syndromic Surveillance: A Case Study in Asthma/Difficulty Breathing. ICPRAM (2019)
Oduwa Edo-Osagie, Iain Lake, Obaghe Edeghere, Beatriz de la Iglesia
Attention-Based Recurrent Neural Networks (RNNs) for Short Text Classification: An Application in Public Health Monitoring. IWANN (1) (2019)
Tahani Alkhudaydi, Ji Zhou, Beatriz de la Iglesia
SpikeletFCN: Counting Spikelets from Infield Wheat Crop Images Using Fully Convolutional Networks. ICAISC (1) (2019)
Aliya Aleryani, Wenjia Wang, Beatriz de la Iglesia
Dealing with Missing Data and Uncertainty in the Context of Data Mining. HAIS (2018)
Aalaa Mojahed, Beatriz de la Iglesia
An adaptive version of k-medoids to deal with the uncertainty in clustering heterogeneous data using an intermediary fusion approach. Knowl. Inf. Syst. 50 (1) (2017)
Aalaa Mojahed, Joao H. Bettencourt-Silva, Wenjia Wang, Beatriz de la Iglesia
Applying Clustering Analysis to Heterogeneous Data Using Similarity Matrix Fusion (SMF). MLDM (2015)
Tarek Amr Abdallah, Beatriz de la Iglesia
Survey on Feature Selection. CoRR (2015)
Tarek Amr Abdallah, Beatriz de la Iglesia
URL-based Web Page Classification - A New Method for URL-based Web Page Classification Using n-Gram Language Models. KDIR (2014)
Aalaa Mojahed, Beatriz de la Iglesia
A Fusion Approach to Computing Distance for Heterogeneous Data. KDIR (2014)
Tarek Amr Abdallah, Beatriz de la Iglesia
URL-Based Web Page Classification: With n-Gram Language Models. IC3K (Selected Papers) (2014)
Khaled Alotaibi, Victor J. Rayward-Smith, Beatriz de la Iglesia
Nonmetric multidimensional scaling: A perturbation model for privacy-preserving data clustering. Stat. Anal. Data Min. 7 (3) (2014)
Ghadah Aldehim, Beatriz de la Iglesia, Wenjia Wang
Heuristic Ensemble of Filters for Reliable Feature Selection. ICPRAM (2014)
Beatriz de la Iglesia
Evolutionary computation for feature selection in classification problems. WIREs Data Mining Knowl. Discov. 3 (6) (2013)
Jon Hills, Anthony J. Bagnall, Beatriz de la Iglesia, Graeme Richards
BruteSuppression: a size reduction method for Apriori rule sets. J. Intell. Inf. Syst. 40 (3) (2013)
Oliver Kirkland, Beatriz de la Iglesia
MOEA for clustering: comparison of mutation operators. GECCO (Companion) (2013)
Oliver Kirkland, Beatriz de la Iglesia
Experimental evaluation of cluster quality measures. UKCI (2013)
Khaled Alotaibi, Victor J. Rayward-Smith, Wenjia Wang, Beatriz de la Iglesia
Non-linear Dimensionality Reduction for Privacy-Preserving Data Classification. SocialCom/PASSAT (2012)
Oliver Kirkland, Victor J. Rayward-Smith, Beatriz de la Iglesia
A Novel Multi-Objective Genetic Algorithm for Clustering. IDEAL (2011)
Khaled Alotaibi, Victor J. Rayward-Smith, Beatriz de la Iglesia
Non-metric Multidimensional Scaling for Privacy-Preserving Data Clustering. IDEAL (2011)
Alan P. Reynolds, Beatriz de la Iglesia
A multi-objective GRASP for partial classification. Soft Comput. 13 (3) (2009)
Alan P. Reynolds, David W. Corne, Beatriz de la Iglesia
A multiobjective GRASP for rule selection. GECCO (2009)
Alan P. Reynolds, Beatriz de la Iglesia
Managing Population Diversity Through the Use of Weighted Objectives and Modified Dominance: An Example from Data Mining. MCDM (2007)
Alan P. Reynolds, Beatriz de la Iglesia
Rule Induction Using Multi-Objective Metaheuristics: Encouraging Rule Diversity. IJCNN (2006)
Fathi H. Saad, Beatriz de la Iglesia, Duncan G. Bell
Effect of Document Representation on the Performance of Medical Document Classification. DMIN (2006)
Fathi H. Saad, Beatriz de la Iglesia, Duncan G. Bell
A Comparison of Two Document Clustering Approaches for Clustering Medical Documents. DMIN (2006)
Alan P. Reynolds, Beatriz de la Iglesia
Rule Induction for Classification Using Multi-objective Genetic Programming. EMO (2006)
Beatriz de la Iglesia, Graeme Richards, M. S. Philpott, Victor J. Rayward-Smith
The application and effectiveness of a multi-objective metaheuristic algorithm for partial classification. Eur. J. Oper. Res. 169 (3) (2006)
Fathi H. Saad, Beatriz de la Iglesia, Duncan G. Bell
Comparison of Documents Classification Techniques to Classify Medical Reports. PAKDD (2006)
Alan P. Reynolds, Graeme Richards, Beatriz de la Iglesia, Victor J. Rayward-Smith
Clustering Rules: A Comparison of Partitioning and Hierarchical Clustering Algorithms. J. Math. Model. Algorithms 5 (4) (2006)
Hong Yan Yi, Beatriz de la Iglesia, Victor J. Rayward-Smith
Using Concept Taxonomies for Effective Tree Induction. CIS (2) (2005)
Beatriz de la Iglesia, Alan P. Reynolds, Victor J. Rayward-Smith
Developments on a Multi-objective Metaheuristic (MOMH) Algorithm for Finding Interesting Sets of Classification Rules. EMO (2005)
Beatriz de la Iglesia, M. S. Philpott, Anthony J. Bagnall, Victor J. Rayward-Smith
Data mining rules using multi-objective evolutionary algorithms. IEEE Congress on Evolutionary Computation (2003)
Alan P. Reynolds, Jo L. Dicks, Ian N. Roberts, Jan-Jaap Wesselink, Beatriz de la Iglesia, Vincent Robert, Teun Boekhout, Victor J. Rayward-Smith
Algorithms for Identification Key Generation and Optimization with Application to Yeast Identification. EvoWorkshops (2003)
Jan-Jaap Wesselink, Beatriz de la Iglesia, Stephen A. James, Jo L. Dicks, Ian N. Roberts, Victor J. Rayward-Smith
Determining a unique defining DNA sequence for yeast species using hashing techniques. Bioinform. 18 (7) (2002)
Beatriz de la Iglesia, Justin C. W. Debuse, Victor J. Rayward-Smith
Discovering Knowledge in Commercial Databases Using Modern Heuristic Techniques. KDD (1996)

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Publication Activity (10 Years)

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Beatriz de la Iglesia