Items where Author is "Kangin, Dmitry"
Journal Article
Zhang, Ziyang and Angelov, Plamen and Kangin, Dmitry and Longepe, Nicolas (2025) IMAFD: An Interpretable Multi-stage Approach to Flood Detection from time series Multispectral Data. Applied Soft Computing, 183: 113582. p. 113582. ISSN 1568-4946
Aghasanli, Agil and Angelov, Plamen and Kangin, Dmitry and Kerns, Jemma and Shepherd, Rebecca F. (2025) Transfer learning from inorganic materials to ivory detection. Scientific Reports, 15: 15536. ISSN 2045-2322
Gu, Xiaowei and Angelov, Plamen Parvanov and Kangin, Dmitry and Principe, Jose (2018) Self-organised direction aware data partitioning algorithm. Information Sciences, 423. pp. 80-95. ISSN 0020-0255
Angelov, Plamen Parvanov and Gu, Xiaowei and Kangin, Dmitry (2017) Empirical data analytics. International Journal of Intelligent Systems, 32 (12). pp. 1261-1284. ISSN 0884-8173
Gu, Xiaowei and Angelov, Plamen Parvanov and Kangin, Dmitry and Principe, Jose (2017) A new type of distance metric and its use for clustering. Evolving Systems, 8 (3). pp. 167-177. ISSN 1868-6478
Kangin, Dmitry and Angelov, Plamen and Iglesias, José Antonio (2016) Autonomously evolving classifier TEDAClass. Information Sciences, 366. pp. 1-11. ISSN 0020-0255
Kangin, Dmitry and Angelov, Plamen Parvanov and Iglesias, Jose Antonio (2016) Autonomously evolving classifier TEDAClass. Information Sciences, 366. pp. 1-11. ISSN 0020-0255
Kangin, Dmitry and Angelov, Plamen Parvanov and Iglesias, Jose Antonio and Sanchis, Araceli (2015) Evolving classifier TEDAClass for big data. Procedia Computer Science, 53. pp. 9-18. ISSN 1877-0509
Contribution in Book/Report/Proceedings
Aghasanli, Agil and Kangin, Dmitry and Angelov, Plamen (2023) Interpretable-Through-Prototypes Deepfake Detection for Diffusion Models. In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2023 :. Computer Vision Foundation, FRA, pp. 467-474.
Angelov, Plamen Parvanov and Gu, Xiaowei and Principe, Jose and Kangin, Dmitry (2016) Empirical data analysis : a new tool for data analytics. In: 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC) :. IEEE, HUN, pp. 52-59. ISBN 9781509018987
Kangin, Dmitry and Kolev, Denis Georgiev and Markarian, Garegin (2015) Multiple video object tracking using variational inference. In: 2015 Sensor Data Fusion: Trends, Solutions, Applications (SDF 2015) :. IEEE, DEU, pp. 47-52. ISBN 9781467371766
Kangin, Dmitry and Angelov, Plamen Parvanov (2015) Evolving clustering, classification and regression with TEDA. In: Proceedings of the 2015 International Joint Conference on Neural Networks (IJCNN) :. IEEE, pp. 1-8.
Kolev, Denis Georgiev and Markarian, Garegin and Kangin, Dmitry (2015) Data fusion for unsupervised video object detection, tracking and geo-positioning. In: Information Fusion (Fusion), 2015 18th International Conference on :. IEEE, USA, pp. 142-149. ISBN 9781479974047
Kangin, Dmitry and Angelov, Plamen (2015) Recursive SVM based on TEDA. In: Statistical learning and data sciences : Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings. Lecture Notes in Computer Science . Springer, Cham, pp. 156-168. ISBN 9783319170909
Angelov, Plamen and Kangin, Dmitry and Xiaowei, Zhou and Kolev, Denis (2014) Symbol recognition with a new autonomously evolving classifier autoclass. In: 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems :. IEEE, 9781479933471, pp. 1-6.
Kangin, Dmitry and Kolev, Georgi and Angelov, Plamen (2013) Vehicle plate recognition using improved neocognitron neural network. In: Artificial Neural Networks and Machine Learning – ICANN 2013 : 23rd International Conference on Artificial Neural Networks Sofia, Bulgaria, September 10-13, 2013. Proceedings. Lecture Notes in Computer Science . Springer Verlag, Berlin, pp. 628-640. ISBN 9783642407277
Monograph
Zhang, Ziyang and Angelov, Plamen and Kangin, Dmitry and Longepe, Nicolas (2024) IMAFD: An Interpretable Multi-stage Approach to Flood Detection from time series Multispectral Data. Other. Arxiv.
Angelov, Plamen and Kangin, Dmitry and Zhang, Ziyang (2023) Towards interpretable-by-design deep learning algorithms. Other. Arxiv.
Contribution to Conference
Kangin, Dmitry and Angelov, Plamen (2024) Unsupervised Domain Adaptation within Deep Foundation Latent Spaces. In: ICLR 2024 2nd Workshop on Mathematical and Empirical Understanding of Foundation Models (ME-FoMo), 2024-05-07 - 2024-05-11.
Thesis
Kangin, Dmitry and Angelov, Plamen and Markarian, Garik (2016) Intelligent video surveillance. PhD thesis, Lancaster University.