Multi-source Data Modelling: Integrating Related Data to Improve Model Performance. - Paul R. Trundle; Daniel Neagu; Qasim Chaudhry (MLDM, 2007)

Development of Multi-output Neural Networks for Data Integration - A Case Study. - Paul R. Trundle; Daniel Neagu; Marian Viorel Craciun; Qasim Chaudhry (Innovations in Hybrid Intelligent Systems, 2008)

A Memory Management System towards Cognitive Assistance of Elderly People. - Fouad Khelifi; Jianmin Jiang; Paul R. Trundle (IWANN (2), 2009)

Human Memory Assistance through Semantic-Based Text Processing. - Paul R. Trundle; Jianmin Jiang (IWANN (2), 2009)

Medical image analysis with artificial neural networks. - Jianmin Jiang; Paul R. Trundle; Jinchang Ren (Comput. Medical Imaging Graph., 2010)

Towards model governance in predictive toxicology. - Anna Palczewska; Xin Fu; Paul R. Trundle; Longzhi Yang; Daniel Neagu; Mick J. Ridley; Kim Travis (Int. J. Inf. Manag., 2013)

Social media analysis for product safety using text mining and sentiment analysis. - Haruna Isah; Paul R. Trundle; Daniel Neagu (UKCI, 2014)

Using computational methods for the prediction of drug vehicles. - Pritesh Mistry; Anna Palczewska; Daniel Neagu; Paul R. Trundle (UKCI, 2014)

Bipartite Network Model for Inferring Hidden Ties in Crime Data. - Haruna Isah; Daniel Neagu; Paul R. Trundle (ASONAM, 2015)

Using random forest and decision tree models for a new vehicle prediction approach in computational toxicology. - Pritesh Mistry; Daniel Neagu; Paul R. Trundle; Jonathan D. Vessey (Soft Comput., 2016)

Classification of Heterogeneous Data Based on Data Type Impact on Similarity. - Najat Ali; Daniel Neagu; Paul R. Trundle (UKCI, 2018)

Vehicle Warranty Claim Prediction from Diagnostic Data Using Classification. - Denis Torgunov; Paul R. Trundle; Felician Campean; Daniel Neagu; Andrew Sherratt (UKCI, 2019)