| Interpreting random forest classification models using a feature contribution method A Palczewska, J Palczewski, RM Robinson, D Neagu Integration of reusable systems, 193-218, 2014 | 71 | 2014 |
| Data governance in predictive toxicology: A review X Fu, A Wojak, D Neagu, M Ridley, K Travis Journal of cheminformatics 3 (1), 24, 2011 | 52 | 2011 |
| Interpreting random forest models using a feature contribution method A Palczewska, J Palczewski, RM Robinson, D Neagu 2013 IEEE 14th International Conference on Information Reuse & Integration …, 2013 | 45 | 2013 |
| Comparison of the predictive performance and interpretability of random forest and linear models on benchmark data sets RL Marchese Robinson, A Palczewska, J Palczewski, N Kidley Journal of chemical information and modeling 57 (8), 1773-1792, 2017 | 29 | 2017 |
| Comparing the CORAL and Random Forest approaches for modelling the in vitro cytotoxicity of silica nanomaterials. A Cassano, RL Marchese Robinson, A Palczewska, T Puzyn, A Gajewicz, ... Altern Lab Anim 44 (6), 533-556, 2016 | 20 | 2016 |
| 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 | 16 | 2013 |
| Using Pareto points for model identification in predictive toxicology A Palczewska, D Neagu, M Ridley Journal of cheminformatics 5 (1), 16, 2013 | 4 | 2013 |
| Application of unsupervised learning in weight-loss categorisation for weight management programs O Babajide, H Tawfik, A Palczewska, A Gorbenko, A Astrup, JA Martinez, ... 2019 10th International Conference on Dependable Systems, Services and …, 2019 | 2 | 2019 |
| RobustSPAM for inference from noisy longitudinal data and preservation of privacy A Palczewska, J Palczewski, G Aivaliotis, L Kowalik 2017 16th IEEE international conference on machine learning and applications …, 2017 | 2 | 2017 |
| Ranking strategies to support toxicity prediction: A case study on potential LXR binders A Palczewska, S Kovarich, A Ciacci, E Fioravanzo, A Bassan, D Neagu Computational Toxicology 10, 130-144, 2019 | 1 | 2019 |
| In silico chemistry-based workflows to facilitate ADMET prediction for cosmetics-related substances AN Richarz, P Alov, SJ Enoch, S Kovarich, Y Lan, T Meinl, C Mellor, ... Toxicology Letters 2 (238), S170, 2015 | 1 | 2015 |
| Assocation rule learning A Palczewska | 1 | 2012 |
| Double Min-Score (DMS) Algorithm for automated model selection in predictive toxicology A Wojak, D Neagu, M Ridley United Kingdom Workshop in Computational Intelligence (UKCI 2011) 150, 156, 2011 | 1 | 2011 |
| Public Services, Personal Data and Machine Learning: Prospects for Infrastructures and Ecosystems J Keen, R Ruddle, J Palczewski, G Aivaliotis, M Adnan, A Palczewska, ... ECDG 2019 19th European Conference on Digital Government, 51, 2019 | | 2019 |
| Advances in Drug Toxicology U Gundert‑Remy, J Sachs, F Bévalot, IM McIntyre, A Palczewska, ... Advances in Drug Toxicology, 341, 2016 | | 2016 |
| Interpretation, Identification and Reuse of Models. Theory and algorithms with applications in predictive toxicology. AM Palczewska University of Bradford, 2015 | | 2015 |
| The political economy of ageing and later life: critical perspectives by Alan Walker and Liam Foster [Book review] C Powell | | 2015 |
| Chemical and mechanistic similarity based assessment of the cosmetics space supporting the evaluation of cosmetics-related substances AN Richarz, SJ Enoch, E Fioravanzo, S Kovarich, JC Madden, C Mellor, ... Toxicology Letters 2 (238), S170, 2015 | | 2015 |
| 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 |
| Paper Title Author (s) Page No Preface iii Committee iv Biographies vi C Akkaya, M Jakob, H Krcmar, GP Dias, S Doski, M Jneid, I Saleh, ... | | |
Daniel NeaguProfessor of Computing, University of BradfordVerified email at bradford.ac.uk
