Beatriz de la Iglesia

58 papers A* 1A 1B 3C 6Misc 4Journal 16Unranked 24

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Ensemble Models for Real-Time Fetal Monitoring Using Discrete Segmentation of Cardiotocography. AIiH (1) Muhammad Usama Faheem, Rudy Lapeer, Beatriz de la Iglesia, Rahul Gore, Rowan Connell, Wenjia Wang
2025	—	`conf`	From Free Text to Upper Gastrointestinal Cancer Diagnosis: Fine-Tuning Language Models on Endoscopy and Histology Narratives. IC3K (KDIR) Kazhan Misri, Leo Alexandre, Beatriz de la Iglesia
2025	—	`conf`	Mapping Weaponised Victimhood: A Machine Learning Approach. IC3K (KDIR) Samantha Butcher, Beatriz de la Iglesia
2024	J	`jnl`	Advancing precision agriculture: domain-specific augmentations and robustness testing for convolutional neural networks in precision spraying evaluation. Neural Comput. Appl. Harry Rogers, Beatriz de la Iglesia, Tahmina Zebin, Grzegorz Cielniak, Ben Magri
2024	—	`conf`	Automating the Clock Drawing Test with Deep Learning and Saliency Maps. EPIA (2) Violet Mayne, Harry Rogers, Saber Sami, Beatriz de la Iglesia
2024	J	`jnl`	Deep Learning for Precision Agriculture: Post-Spraying Evaluation and Deposition Estimation. CoRR Harry Rogers, Tahmina Zebin, Grzegorz Cielniak, Beatriz de la Iglesia, Ben Magri
2024	—	`conf`	Efficient Convolutional Neural Networks for Automated Cognitive Diagnosis. MetroXRAINE Connor Pearson, Beatriz de la Iglesia, Saber Sami
2023	—	`conf`	An Agricultural Precision Sprayer Deposit Identification System. CASE Harry Rogers, Beatriz de la Iglesia, Tahmina Zebin, Grzegorz Cielniak, Ben Magri
2023	—	`conf`	An Automated Precision Spraying Evaluation System. TAROS Harry Rogers, Beatriz de la Iglesia, Tahmina Zebin, Grzegorz Cielniak, Ben Magri
2023	—	`conf`	Evaluating the Use of Interpretable Quantized Convolutional Neural Networks for Resource-Constrained Deployment. KDIR Harry Rogers, Beatriz de la Iglesia, Tahmina Zebin
2023	J	`jnl`	Multiple Imputation Ensembles for Time Series (MIE-TS). ACM Trans. Knowl. Discov. Data Aliya Aleryani, Aaron Bostrom, Wenjia Wang, Beatriz de la Iglesia
2022	J	`jnl`	A multi-variate time series clustering approach based on intermediate fusion: A case study in air pollution data imputation. Neurocomputing Wedad Alahamade, Iain Lake, Claire E. Reeves, Beatriz de la Iglesia
2022	J	`jnl`	Counting spikelets from infield wheat crop images using fully convolutional networks. Neural Comput. Appl. Tahani Alkhudaydi, Beatriz de la Iglesia
2022	—	`conf`	Detecting Cognitive Decline Using a Novel Doodle-Based Neural Network. MetroXRAINE Connor Pearson, Beatriz de la Iglesia, Saber Sami
2022	—	`conf`	The Use of Clustering to Understand Disease Progression in Rheumatoid Arthritis. MetroXRAINE Beatriz de la Iglesia, Kathapet Nawongs, Jack Dainty, Alexander MacGregor
2020	J	`jnl`	A scoping review of the use of Twitter for public health research. Comput. Biol. Medicine Oduwa Edo-Osagie, Beatriz de la Iglesia, Iain Lake, Obaghe Edeghere
2020	Misc	`conf`	An Evolutionary Approach to Automatic Keyword Selection for Twitter Data Analysis. HAIS Oduwa Edo-Osagie, Beatriz de la Iglesia, Iain Lake, Obaghe Edeghere
2020	Misc	`conf`	Clustering Imputation for Air Pollution Data. HAIS Wedad Alahamade, Iain Lake, Claire E. Reeves, Beatriz de la Iglesia
2020	Misc	`conf`	Legal Judgement Prediction for UK Courts. ICISS Benjamin Strickson, Beatriz de la Iglesia
2020	J	`jnl`	Multiple Imputation Ensembles (MIE) for Dealing with Missing Data. SN Comput. Sci. Aliya Aleryani, Wenjia Wang, Beatriz de la Iglesia
2019	—	`conf`	Attention-Based Recurrent Neural Networks (RNNs) for Short Text Classification: An Application in Public Health Monitoring. IWANN (1) Oduwa Edo-Osagie, Iain Lake, Obaghe Edeghere, Beatriz de la Iglesia
2019	C	`conf`	Deep Learning for Relevance Filtering in Syndromic Surveillance: A Case Study in Asthma/Difficulty Breathing. ICPRAM Oduwa Edo-Osagie, Beatriz de la Iglesia, Iain Lake, Obaghe Edeghere
2019	—	`conf`	SpikeletFCN: Counting Spikelets from Infield Wheat Crop Images Using Fully Convolutional Networks. ICAISC (1) Tahani Alkhudaydi, Ji Zhou, Beatriz de la Iglesia
2018	Misc	`conf`	Dealing with Missing Data and Uncertainty in the Context of Data Mining. HAIS Aliya Aleryani, Wenjia Wang, Beatriz de la Iglesia
2017	J	`jnl`	An adaptive version of k-medoids to deal with the uncertainty in clustering heterogeneous data using an intermediary fusion approach. Knowl. Inf. Syst. Aalaa Mojahed, Beatriz de la Iglesia
2016	—	`ch.`	Visualisation of Integrated Patient-Centric Data as Pathways: Enhancing Electronic Medical Records in Clinical Practice. Machine Learning for Health Informatics Joao H. Bettencourt-Silva, Gurdeep S. Mannu, Beatriz de la Iglesia
2015	—	`conf`	Applying Clustering Analysis to Heterogeneous Data Using Similarity Matrix Fusion (SMF). MLDM Aalaa Mojahed, Joao H. Bettencourt-Silva, Wenjia Wang, Beatriz de la Iglesia
2015	J	`jnl`	Survey on Feature Selection. CoRR Tarek Amr Abdallah, Beatriz de la Iglesia
2014	—	`conf`	A Fusion Approach to Computing Distance for Heterogeneous Data. KDIR Aalaa Mojahed, Beatriz de la Iglesia
2014	C	`conf`	Heuristic Ensemble of Filters for Reliable Feature Selection. ICPRAM Ghadah Aldehim, Beatriz de la Iglesia, Wenjia Wang
2014	J	`jnl`	Nonmetric multidimensional scaling: A perturbation model for privacy-preserving data clustering. Stat. Anal. Data Min. Khaled Alotaibi, Victor J. Rayward-Smith, Beatriz de la Iglesia
2014	—	`conf`	URL-Based Web Page Classification: With n-Gram Language Models. IC3K (Selected Papers) Tarek Amr Abdallah, Beatriz de la Iglesia
2014	—	`conf`	URL-based Web Page Classification - A New Method for URL-based Web Page Classification Using n-Gram Language Models. KDIR Tarek Amr Abdallah, Beatriz de la Iglesia
2013	J	`jnl`	BruteSuppression: a size reduction method for Apriori rule sets. J. Intell. Inf. Syst. Jon Hills, Anthony J. Bagnall, Beatriz de la Iglesia, Graeme Richards
2013	J	`jnl`	Evolutionary computation for feature selection in classification problems. WIREs Data Mining Knowl. Discov. Beatriz de la Iglesia
2013	—	`conf`	Experimental evaluation of cluster quality measures. UKCI Oliver Kirkland, Beatriz de la Iglesia
2013	—	`conf`	MOEA for clustering: comparison of mutation operators. GECCO (Companion) Oliver Kirkland, Beatriz de la Iglesia
2012	—	`conf`	Non-linear Dimensionality Reduction for Privacy-Preserving Data Classification. SocialCom/PASSAT Khaled Alotaibi, Victor J. Rayward-Smith, Wenjia Wang, Beatriz de la Iglesia
2011	C	`conf`	A Novel Multi-Objective Genetic Algorithm for Clustering. IDEAL Oliver Kirkland, Victor J. Rayward-Smith, Beatriz de la Iglesia
2011	C	`conf`	Non-metric Multidimensional Scaling for Privacy-Preserving Data Clustering. IDEAL Khaled Alotaibi, Victor J. Rayward-Smith, Beatriz de la Iglesia
2009	J	`jnl`	A multi-objective GRASP for partial classification. Soft Comput. Alan P. Reynolds, Beatriz de la Iglesia
2009	A	`conf`	A multiobjective GRASP for rule selection. GECCO Alan P. Reynolds, David W. Corne, Beatriz de la Iglesia
2007	—	`conf`	Managing Population Diversity Through the Use of Weighted Objectives and Modified Dominance: An Example from Data Mining. MCDM Alan P. Reynolds, Beatriz de la Iglesia
2007	C	`conf`	Rule Induction for Classification Using Multi-objective Genetic Programming. EMO Alan P. Reynolds, Beatriz de la Iglesia
2006	—	`conf`	A Comparison of Two Document Clustering Approaches for Clustering Medical Documents. DMIN Fathi H. Saad, Beatriz de la Iglesia, Duncan G. Bell
2006	J	`jnl`	Clustering Rules: A Comparison of Partitioning and Hierarchical Clustering Algorithms. J. Math. Model. Algorithms Alan P. Reynolds, Graeme Richards, Beatriz de la Iglesia, Victor J. Rayward-Smith
2006	B	`conf`	Comparison of Documents Classification Techniques to Classify Medical Reports. PAKDD Fathi H. Saad, Beatriz de la Iglesia, Duncan G. Bell
2006	—	`conf`	Effect of Document Representation on the Performance of Medical Document Classification. DMIN Fathi H. Saad, Beatriz de la Iglesia, Duncan G. Bell
2006	B	`conf`	Rule Induction Using Multi-Objective Metaheuristics: Encouraging Rule Diversity. IJCNN Alan P. Reynolds, Beatriz de la Iglesia
2006	J	`jnl`	The application and effectiveness of a multi-objective metaheuristic algorithm for partial classification. Eur. J. Oper. Res. Beatriz de la Iglesia, Graeme Richards, M. S. Philpott, Victor J. Rayward-Smith
2005	C	`conf`	Developments on a Multi-objective Metaheuristic (MOMH) Algorithm for Finding Interesting Sets of Classification Rules. EMO Beatriz de la Iglesia, Alan P. Reynolds, Victor J. Rayward-Smith
2005	—	`ch.`	Discovery of Classification Rules from Databases. Encyclopedia of Information Science and Technology (II) Graeme Richards, Beatriz de la Iglesia
2005	—	`conf`	Using Concept Taxonomies for Effective Tree Induction. CIS (2) Hong Yan Yi, Beatriz de la Iglesia, Victor J. Rayward-Smith
2003	—	`conf`	Algorithms for Identification Key Generation and Optimization with Application to Yeast Identification. EvoWorkshops Alan P. Reynolds, Jo L. Dicks, Ian N. Roberts, Jan-Jaap Wesselink, Beatriz de la Iglesia, Vincent Robert, Teun Boekhout, Victor J. Rayward-Smith
2003	B	`conf`	Data mining rules using multi-objective evolutionary algorithms. IEEE Congress on Evolutionary Computation Beatriz de la Iglesia, M. S. Philpott, Anthony J. Bagnall, Victor J. Rayward-Smith
2002	J	`jnl`	Determining a unique defining DNA sequence for yeast species using hashing techniques. Bioinform. Jan-Jaap Wesselink, Beatriz de la Iglesia, Stephen A. James, Jo L. Dicks, Ian N. Roberts, Victor J. Rayward-Smith
2001	—	`—`	The development and application of heuristic techniques for the data mining task of nugget discovery. Beatriz de la Iglesia
1996	A*	`conf`	Discovering Knowledge in Commercial Databases Using Modern Heuristic Techniques. KDD Beatriz de la Iglesia, Justin C. W. Debuse, Victor J. Rayward-Smith