| 2025 | IC3K | Mapping Weaponised Victimhood: A Machine Learning Approach. | Samantha Butcher, Beatriz de la Iglesia |
| 2025 | IC3K | From Free Text to Upper Gastrointestinal Cancer Diagnosis: Fine-Tuning Language Models on Endoscopy and Histology Narratives. | Kazhan Misri, Leo Alexandre, Beatriz de la Iglesia |
| 2024 | EPIA | Automating the Clock Drawing Test with Deep Learning and Saliency Maps. | Violet Mayne, Harry Rogers, Saber Sami, Beatriz de la Iglesia |
| 2023 | IC3K | Evaluating the Use of Interpretable Quantized Convolutional Neural Networks for Resource-Constrained Deployment. | Harry Rogers, Beatriz de la Iglesia, Tahmina Zebin |
| 2020 | HAIS | Clustering Imputation for Air Pollution Data. | Wedad Alahamade, Iain Lake, Claire E. Reeves, Beatriz de la Iglesia |
| 2020 | HAIS | An Evolutionary Approach to Automatic Keyword Selection for Twitter Data Analysis. | Oduwa Edo-Osagie, Beatriz de la Iglesia, Iain Lake, Obaghe Edeghere |
| 2019 | ICAISC | SpikeletFCN: Counting Spikelets from Infield Wheat Crop Images Using Fully Convolutional Networks. | Tahani Alkhudaydi, Ji Zhou, Beatriz de la Iglesia |
| 2019 | ICPRAM | 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 |
| 2019 | IWANN | 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 |
| 2018 | HAIS | Dealing with Missing Data and Uncertainty in the Context of Data Mining. | Aliya Aleryani, Wenjia Wang, Beatriz de la Iglesia |
| 2014 | IC3K | 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 |
| 2014 | IC3K | URL-Based Web Page Classification: With n-Gram Language Models. | Tarek Amr Abdallah, Beatriz de la Iglesia |
| 2014 | IC3K | A Fusion Approach to Computing Distance for Heterogeneous Data. | Aalaa Mojahed, Beatriz de la Iglesia |
| 2014 | ICPRAM | Heuristic Ensemble of Filters for Reliable Feature Selection. | Ghadah Aldehim, Beatriz de la Iglesia, Wenjia Wang |
| 2013 | GECCO | MOEA for clustering: comparison of mutation operators. | Oliver Kirkland, Beatriz de la Iglesia |
| 2011 | IDEAL | Non-metric Multidimensional Scaling for Privacy-Preserving Data Clustering. | Khaled Alotaibi, Victor J. Rayward-Smith, Beatriz de la Iglesia |
| 2011 | IDEAL | A Novel Multi-Objective Genetic Algorithm for Clustering. | Oliver Kirkland, Victor J. Rayward-Smith, Beatriz de la Iglesia |
| 2009 | GECCO | A multiobjective GRASP for rule selection. | Alan P. Reynolds, David W. Corne, Beatriz de la Iglesia |
| 2007 | EMO | Rule Induction for Classification Using Multi-objective Genetic Programming. | Alan P. Reynolds, Beatriz de la Iglesia |
| 2006 | IJCNN | Rule Induction Using Multi-Objective Metaheuristics: Encouraging Rule Diversity. | Alan P. Reynolds, Beatriz de la Iglesia |
| 2006 | PAKDD | Comparison of Documents Classification Techniques to Classify Medical Reports. | Fathi H. Saad, Beatriz de la Iglesia, Duncan G. Bell |
| 2005 | CIS | Using Concept Taxonomies for Effective Tree Induction. | Hong Yan Yi, Beatriz de la Iglesia, Victor J. Rayward-Smith |
| 2005 | EMO | 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 |
| 2003 | CEC | Data mining rules using multi-objective evolutionary algorithms. | Beatriz de la Iglesia, M. S. Philpott, Anthony J. Bagnall, Victor J. Rayward-Smith |
| 1996 | KDD | Discovering Knowledge in Commercial Databases Using Modern Heuristic Techniques. | Beatriz de la Iglesia, Justin C. W. Debuse, Victor J. Rayward-Smith |