Items where Author is "Kangin, Dmitry"

Journal Article

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. ISSN 2045-2322 (In Press)

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 Parvanov and Iglesias, Jose Antonio (2016) Autonomously evolving classifier TEDAClass. Information Sciences, 366. pp. 1-11. ISSN 0020-0255

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 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.