| Skilful precipitation nowcasting using deep generative models of radar S Ravuri, K Lenc, M Willson, D Kangin, R Lam, P Mirowski, M Fitzsimons, ... Nature 597 (7878), 672-677, 2021 | 677 | 2021 |
| Empirical data analytics P Angelov, X Gu, D Kangin International Journal of Intelligent Systems 32 (12), 1261-1284, 2017 | 97 | 2017 |
| A review of radar-based nowcasting of precipitation and applicable machine learning techniques R Prudden, S Adams, D Kangin, N Robinson, S Ravuri, S Mohamed, ... arXiv preprint arXiv:2005.04988, 2020 | 55 | 2020 |
| Autonomously evolving classifier TEDAClass D Kangin, P Angelov, JA Iglesias Information Sciences 366, 1-11, 2016 | 54 | 2016 |
| Empirical data analysis: A new tool for data analytics P Angelov, X Gu, D Kangin, J Principe 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016 | 52 | 2016 |
| Self-organised direction aware data partitioning algorithm X Gu, P Angelov, D Kangin, J Principe Information Sciences 423, 80-95, 2018 | 30 | 2018 |
| A new type of distance metric and its use for clustering X Gu, PP Angelov, D Kangin, JC Principe Evolving Systems 8, 167-177, 2017 | 26 | 2017 |
| Evolving clustering, classification and regression with TEDA D Kangin, P Angelov 2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015 | 24 | 2015 |
| Evolving classifier TEDAClass for big data D Kangin, P Angelov, JA Iglesias, A Sanchis Procedia Computer Science 53, 9-18, 2015 | 24 | 2015 |
| Symbol recognition with a new autonomously evolving classifier autoclass P Angelov, D Kangin, X Zhou, D Kolev 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), 1-7, 2014 | 14 | 2014 |
| Interpretable-through-prototypes deepfake detection for diffusion models A Aghasanli, D Kangin, P Angelov Proceedings of the IEEE/CVF International Conference on Computer Vision, 467-474, 2023 | 12 | 2023 |
| A review of radar-based nowcasting of precipitation and applicable machine learning techniques, arXiv R Prudden, S Adams, D Kangin, N Robinson, S Ravuri, S Mohamed, ... arXiv preprint arXiv:2005.04988 11, 2020 | 12 | 2020 |
| A review of radar-based nowcasting of precipitation and applicable machine learning techniques. arXiv 2020 R Prudden, S Adams, D Kangin, N Robinson, S Ravuri, S Mohamed, ... arXiv preprint arXiv:2005.04988, 0 | 11 | |
| Skilful precipitation nowcasting using deep generative models of radar., 2021, 597 S Ravuri, K Lenc, M Willson, D Kangin, R Lam, P Mirowski, M Fitzsimons, ... DOI: https://doi. org/10.1038/s41586-021-03854-z. PMID: https://www. ncbi …, 0 | 10 | |
| Aggregated sparse attention for steering angle prediction S He, D Kangin, Y Mi, N Pugeault 2018 24th International Conference on Pattern Recognition (ICPR), 2398-2403, 2018 | 7 | 2018 |
| TEDA: typicality based empirical data analysis P Angelov, X Gu, D Kangin, J Principe Submitted to Information Sciences, 2016 | 7 | 2016 |
| Recursive svm based on teda D Kangin, P Angelov Statistical Learning and Data Sciences: Third International Symposium, SLDS …, 2015 | 7 | 2015 |
| Further Parameters Estimation of Neocognitron Neural Network Modification with FFT Convolution D Kangin, G Kolev, A Vikhoreva Journal of Telecommunication, Electronic and Computer Engineering (JTEC) 4 …, 2012 | 7 | 2012 |
| Training-valuenet: Data driven label noise cleaning on weakly-supervised web images L Smyth, D Kangin, N Pugeault 2019 Joint IEEE 9th International Conference on Development and Learning and …, 2019 | 5 | 2019 |
| New autonomously evolving classifier tedaclass D Kangin, P Angelov IEEE International Joint Conference on Neural Networks, IJCNN-2015, 2015 | 5 | 2015 |
Plamen P AngelovChair Professor in Intelligent Systems, School of Computing and Communications, Lancaster University在 lancaster.ac.uk 的电子邮件经过验证
