| Medical image analysis with artificial neural networks J Jiang, P Trundle, J Ren Computerized Medical Imaging and Graphics 34 (8), 617-631, 2010 | 498 | 2010 |
| Evaluation of k-nearest neighbour classifier performance for heterogeneous data sets N Ali, D Neagu, P Trundle SN Applied Sciences 1, 1-15, 2019 | 286 | 2019 |
| Social media analysis for product safety using text mining and sentiment analysis H Isah, P Trundle, D Neagu 2014 14th UK workshop on computational intelligence (UKCI), 1-7, 2014 | 137 | 2014 |
| Using random forest and decision tree models for a new vehicle prediction approach in computational toxicology P Mistry, D Neagu, PR Trundle, JD Vessey Soft Computing 20, 2967-2979, 2016 | 54 | 2016 |
| Bipartite network model for inferring hidden ties in crime data H Isah, D Neagu, P Trundle Proceedings of the 2015 IEEE/ACM international conference on advances in …, 2015 | 31 | 2015 |
| Analysis of performance of palmprint matching with enforced sparsity O Nibouche, J Jiang, P Trundle Digital Signal Processing 22 (2), 348-355, 2012 | 29 | 2012 |
| Towards model governance in predictive toxicology A Palczewska, X Fu, P Trundle, L Yang, D Neagu, M Ridley, K Travis International Journal of Information Management 33 (3), 567-582, 2013 | 27 | 2013 |
| A comparative study of machine learning algorithms applied to predictive toxicology data mining DC Neagu, G Guo, PR Trundle, MTD Cronin Alternatives to Laboratory Animals 35 (1), 25-32, 2007 | 22 | 2007 |
| Classification of heterogeneous data based on data type impact on similarity N Ali, D Neagu, P Trundle Advances in Computational Intelligence Systems: Contributions Presented at …, 2019 | 21 | 2019 |
| Vehicle Warranty claim prediction from diagnostic data using classification D Torgunov, P Trundle, F Campean, D Neagu, A Sherratt Advances in Computational Intelligence Systems: Contributions Presented at …, 2020 | 9 | 2020 |
| Prediction of the effect of formulation on the toxicity of chemicals P Mistry, D Neagu, A Sanchez-Ruiz, PR Trundle, JD Vessey, JP Gosling Toxicology research 6 (1), 42-53, 2017 | 4 | 2017 |
| HERMES: a FP7 funded project towards the development of a computer‐aided memory management system via intelligent computations J Jiang, F Khelifi, P Trundle, A Geven Journal of Assistive Technologies 3 (3), 27-35, 2009 | 3 | 2009 |
| Medical imaging analysis with artificial neural networks J Jiang, P Trundle, J Ren Comput. Med. Imaging Graph. v34 i8, 617-631, 0 | 2 | |
| 2014 14 th UK Workshop on Computational Intelligence (UKCI) D Neagu, M Kiran, P Trundle | | 2014 |
| Using computational methods for the prediction of drug vehicles P Mistry, A Palczewska, D Neagu, P Trundle 2014 14th UK Workshop on Computational Intelligence (UKCI), 1-7, 2014 | | 2014 |
| A memory management system towards cognitive assistance of elderly people F Khelifi, J Jiang, P Trundle Distributed Computing, Artificial Intelligence, Bioinformatics, Soft …, 2009 | | 2009 |
| Multi-source Data Modelling: Integrating Related Data to Improve Model Performance PR Trundle, DC Neagu, Q Chaudhry Machine Learning and Data Mining in Pattern Recognition: 5th International …, 2007 | | 2007 |
| Development of Multi-output Neural Networks for Data Integration—A Case Study P Trundle, D Neagu, M Craciun, Q Chaudhry Innovations in Hybrid Intelligent Systems, 80-87, 2007 | | 2007 |
| 134 Massey, Mark K. 7 McGarry, Ken 206 Miller, Julian F. 7 M Milliken, Y Bi, A Brahma, J Buckley, F Campean, D Cao, J Carter, ... | | |
| Bipartite Network Model for I ferri g Hidde Ties i Cri e Data H Isah, D Neagu, P Trundle | | |
