Discovering Knowledge in Commercial Databases Using Modern Heuristic Techniques. - Beatriz de la Iglesia; Justin C. W. Debuse; Victor J. Rayward-Smith (KDD, 1996)

The development and application of heuristic techniques for the data mining task of nugget discovery. - Beatriz de la Iglesia (2001)

Determining a unique defining DNA sequence for yeast species using hashing techniques. - Jan-Jaap Wesselink; Beatriz de la Iglesia; Stephen A. James; Jo L. Dicks; Ian N. Roberts; Victor J. Rayward-Smith (Bioinform., 2002)

Data mining rules using multi-objective evolutionary algorithms. - Beatriz de la Iglesia; M. S. Philpott; Anthony J. Bagnall; Victor J. Rayward-Smith (IEEE Congress on Evolutionary Computation, 2003)

Algorithms for Identification Key Generation and Optimization with Application to Yeast Identification. - Alan P. Reynolds; Jo L. Dicks; Ian N. Roberts; Jan-Jaap Wesselink; Beatriz de la Iglesia; Vincent Robert; Teun Boekhout; Victor J. Rayward-Smith (EvoWorkshops, 2003)

Discovery of Classification Rules from Databases. - Graeme Richards; Beatriz de la Iglesia (Encyclopedia of Information Science and Technology (II), 2005)

Using Concept Taxonomies for Effective Tree Induction. - Hong Yan Yi; Beatriz de la Iglesia; Victor J. Rayward-Smith (CIS (2), 2005)

Developments on a Multi-objective Metaheuristic (MOMH) Algorithm for Finding Interesting Sets of Classification Rules. - Beatriz de la Iglesia; Alan P. Reynolds; Victor J. Rayward-Smith (EMO, 2005)

Effect of Document Representation on the Performance of Medical Document Classification. - Fathi H. Saad; Beatriz de la Iglesia; Duncan G. Bell (DMIN, 2006)

A Comparison of Two Document Clustering Approaches for Clustering Medical Documents. - Fathi H. Saad; Beatriz de la Iglesia; Duncan G. Bell (DMIN, 2006)

Rule Induction Using Multi-Objective Metaheuristics: Encouraging Rule Diversity. - Alan P. Reynolds; Beatriz de la Iglesia (IJCNN, 2006)

Comparison of Documents Classification Techniques to Classify Medical Reports. - Fathi H. Saad; Beatriz de la Iglesia; Duncan G. Bell (PAKDD, 2006)

The application and effectiveness of a multi-objective metaheuristic algorithm for partial classification. - Beatriz de la Iglesia; Graeme Richards; M. S. Philpott; Victor J. Rayward-Smith (Eur. J. Oper. Res., 2006)

Clustering Rules: A Comparison of Partitioning and Hierarchical Clustering Algorithms. - Alan P. Reynolds; Graeme Richards; Beatriz de la Iglesia; Victor J. Rayward-Smith (J. Math. Model. Algorithms, 2006)

Managing Population Diversity Through the Use of Weighted Objectives and Modified Dominance: An Example from Data Mining. - Alan P. Reynolds; Beatriz de la Iglesia (MCDM, 2007)

Rule Induction for Classification Using Multi-objective Genetic Programming. - Alan P. Reynolds; Beatriz de la Iglesia (EMO, 2007)

A multiobjective GRASP for rule selection. - Alan P. Reynolds; David W. Corne; Beatriz de la Iglesia (GECCO, 2009)

A multi-objective GRASP for partial classification. - Alan P. Reynolds; Beatriz de la Iglesia (Soft Comput., 2009)

Non-metric Multidimensional Scaling for Privacy-Preserving Data Clustering. - Khaled Alotaibi; Victor J. Rayward-Smith; Beatriz de la Iglesia (IDEAL, 2011)

A Novel Multi-Objective Genetic Algorithm for Clustering. - Oliver Kirkland; Victor J. Rayward-Smith; Beatriz de la Iglesia (IDEAL, 2011)

Non-linear Dimensionality Reduction for Privacy-Preserving Data Classification. - Khaled Alotaibi; Victor J. Rayward-Smith; Wenjia Wang; Beatriz de la Iglesia (SocialCom/PASSAT, 2012)

MOEA for clustering: comparison of mutation operators. - Oliver Kirkland; Beatriz de la Iglesia (GECCO (Companion), 2013)

Experimental evaluation of cluster quality measures. - Oliver Kirkland; Beatriz de la Iglesia (UKCI, 2013)

BruteSuppression: a size reduction method for Apriori rule sets. - Jon Hills; Anthony J. Bagnall; Beatriz de la Iglesia; Graeme Richards (J. Intell. Inf. Syst., 2013)

Evolutionary computation for feature selection in classification problems. - Beatriz de la Iglesia (WIREs Data Mining Knowl. Discov., 2013)

URL-based Web Page Classification - A New Method for URL-based Web Page Classification Using n-Gram Language Models. - Tarek Amr Abdallah; Beatriz de la Iglesia (KDIR, 2014)

URL-Based Web Page Classification: With n-Gram Language Models. - Tarek Amr Abdallah; Beatriz de la Iglesia (IC3K (Selected Papers), 2014)

A Fusion Approach to Computing Distance for Heterogeneous Data. - Aalaa Mojahed; Beatriz de la Iglesia (KDIR, 2014)

Heuristic Ensemble of Filters for Reliable Feature Selection. - Ghadah Aldehim; Beatriz de la Iglesia; Wenjia Wang (ICPRAM, 2014)

Nonmetric multidimensional scaling: A perturbation model for privacy-preserving data clustering. - Khaled Alotaibi; Victor J. Rayward-Smith; Beatriz de la Iglesia (Stat. Anal. Data Min., 2014)

Applying Clustering Analysis to Heterogeneous Data Using Similarity Matrix Fusion (SMF). - Aalaa Mojahed; Joao H. Bettencourt-Silva; Wenjia Wang; Beatriz de la Iglesia (MLDM, 2015)

Survey on Feature Selection. - Tarek Amr Abdallah; Beatriz de la Iglesia (CoRR, 2015)

Visualisation of Integrated Patient-Centric Data as Pathways: Enhancing Electronic Medical Records in Clinical Practice. - Joao H. Bettencourt-Silva; Gurdeep S. Mannu; Beatriz de la Iglesia (Machine Learning for Health Informatics, 2016)

An adaptive version of k-medoids to deal with the uncertainty in clustering heterogeneous data using an intermediary fusion approach. - Aalaa Mojahed; Beatriz de la Iglesia (Knowl. Inf. Syst., 2017)

Dealing with Missing Data and Uncertainty in the Context of Data Mining. - Aliya Aleryani; Wenjia Wang; Beatriz de la Iglesia (HAIS, 2018)

SpikeletFCN: Counting Spikelets from Infield Wheat Crop Images Using Fully Convolutional Networks. - Tahani Alkhudaydi; Ji Zhou; Beatriz de la Iglesia (ICAISC (1), 2019)

Deep Learning for Relevance Filtering in Syndromic Surveillance: A Case Study in Asthma/Difficulty Breathing. - Oduwa Edo-Osagie; Beatriz de la Iglesia; Iain Lake; Obaghe Edeghere (ICPRAM, 2019)

Attention-Based Recurrent Neural Networks (RNNs) for Short Text Classification: An Application in Public Health Monitoring. - Oduwa Edo-Osagie; Iain Lake; Obaghe Edeghere; Beatriz de la Iglesia (IWANN (1), 2019)

Clustering Imputation for Air Pollution Data. - Wedad Alahamade; Iain Lake; Claire E. Reeves; Beatriz de la Iglesia (HAIS, 2020)

An Evolutionary Approach to Automatic Keyword Selection for Twitter Data Analysis. - Oduwa Edo-Osagie; Beatriz de la Iglesia; Iain Lake; Obaghe Edeghere (HAIS, 2020)

Legal Judgement Prediction for UK Courts. - Benjamin Strickson; Beatriz de la Iglesia (ICISS, 2020)

A scoping review of the use of Twitter for public health research. - Oduwa Edo-Osagie; Beatriz de la Iglesia; Iain Lake; Obaghe Edeghere (Comput. Biol. Medicine, 2020)

Multiple Imputation Ensembles (MIE) for Dealing with Missing Data. - Aliya Aleryani; Wenjia Wang; Beatriz de la Iglesia (SN Comput. Sci., 2020)

The Use of Clustering to Understand Disease Progression in Rheumatoid Arthritis. - Beatriz de la Iglesia; Kathapet Nawongs; Jack Dainty; Alexander MacGregor (MetroXRAINE, 2022)

Detecting Cognitive Decline Using a Novel Doodle-Based Neural Network. - Connor Pearson; Beatriz de la Iglesia; Saber Sami (MetroXRAINE, 2022)

A multi-variate time series clustering approach based on intermediate fusion: A case study in air pollution data imputation. - Wedad Alahamade; Iain Lake; Claire E. Reeves; Beatriz de la Iglesia (Neurocomputing, 2022)

Counting spikelets from infield wheat crop images using fully convolutional networks. - Tahani Alkhudaydi; Beatriz de la Iglesia (Neural Comput. Appl., 2022)

An Agricultural Precision Sprayer Deposit Identification System. - Harry Rogers; Beatriz de la Iglesia; Tahmina Zebin; Grzegorz Cielniak; Ben Magri (CASE, 2023)

Evaluating the Use of Interpretable Quantized Convolutional Neural Networks for Resource-Constrained Deployment. - Harry Rogers; Beatriz de la Iglesia; Tahmina Zebin (KDIR, 2023)

An Automated Precision Spraying Evaluation System. - Harry Rogers; Beatriz de la Iglesia; Tahmina Zebin; Grzegorz Cielniak; Ben Magri (TAROS, 2023)

Multiple Imputation Ensembles for Time Series (MIE-TS). - Aliya Aleryani; Aaron Bostrom; Wenjia Wang; Beatriz de la Iglesia (ACM Trans. Knowl. Discov. Data, 2023)

Automating the Clock Drawing Test with Deep Learning and Saliency Maps. - Violet Mayne; Harry Rogers; Saber Sami; Beatriz de la Iglesia (EPIA (2), 2024)

Efficient Convolutional Neural Networks for Automated Cognitive Diagnosis. - Connor Pearson; Beatriz de la Iglesia; Saber Sami (MetroXRAINE, 2024)

Deep Learning for Precision Agriculture: Post-Spraying Evaluation and Deposition Estimation. - Harry Rogers; Tahmina Zebin; Grzegorz Cielniak; Beatriz de la Iglesia; Ben Magri (CoRR, 2024)

Advancing precision agriculture: domain-specific augmentations and robustness testing for convolutional neural networks in precision spraying evaluation. - Harry Rogers; Beatriz de la Iglesia; Tahmina Zebin; Grzegorz Cielniak; Ben Magri (Neural Comput. Appl., 2024)

Ensemble Models for Real-Time Fetal Monitoring Using Discrete Segmentation of Cardiotocography. - Muhammad Usama Faheem; Rudy Lapeer; Beatriz de la Iglesia; Rahul Gore; Rowan Connell; Wenjia Wang (AIiH (1), 2025)