Dmitry Kangin

According to our database, Dmitry Kangin authored at least 28 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

IMAFD: An Interpretable Multi-stage Approach to Flood Detection from time series Multispectral Data.

Ziyang Zhang, Plamen Angelov, Dmitry Kangin, Nicolas Longépé

CoRR, 2024

Unsupervised Domain Adaptation within Deep Foundation Latent Spaces.

Dmitry Kangin, Plamen Angelov

CoRR, 2024

Machine Learning within Latent Spaces formed by Foundation Models.

Bernard Tomczyk, Plamen Angelov, Dmitry Kangin

Proceedings of the 12th IEEE International Conference on Intelligent Systems, 2024

2023

Towards interpretable-by-design deep learning algorithms.

Plamen Angelov, Dmitry Kangin, Ziyang Zhang

CoRR, 2023

Interpretable-through-prototypes deepfake detection for diffusion models.

Agil Aghasanli, Dmitry Kangin, Plamen Angelov

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Imbedding Deep Neural Networks.

Andrew Corbett, Dmitry Kangin

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Skilful precipitation nowcasting using deep generative models of radar.

Suman V. Ravuri, Karel Lenc, Matthew Willson, Dmitry Kangin, Rémi Lam, Piotr Mirowski, Megan Fitzsimons, Maria Athanassiadou, Sheleem Kashem, Sam Madge, Rachel Prudden, Amol Mandhane, Aidan Clark, Andrew Brock, Karen Simonyan, Raia Hadsell, Niall H. Robinson, Ellen Clancy, Alberto Arribas, Shakir Mohamed

Nat., 2021

Skillful Precipitation Nowcasting using Deep Generative Models of Radar.

Suman V. Ravuri, Karel Lenc, Matthew Willson, Dmitry Kangin, Rémi Lam, Piotr Mirowski, Megan Fitzsimons, Maria Athanassiadou, Sheleem Kashem, Sam Madge, Rachel Prudden, Amol Mandhane, Aidan Clark, Andrew Brock, Karen Simonyan, Raia Hadsell, Niall H. Robinson, Ellen Clancy, Alberto Arribas, Shakir Mohamed

CoRR, 2021

2020

A review of radar-based nowcasting of precipitation and applicable machine learning techniques.

Rachel Prudden, Samantha V. Adams, Dmitry Kangin, Niall H. Robinson, Suman V. Ravuri, Shakir Mohamed, Alberto Arribas

CoRR, 2020

Reconsidering the Roman Workshop: using machine learning to examine the processes behind inscribed texts.

Charlotte Tupman, Jacqueline Christmas, Dmitry Kangin

Proceedings of the 15th Annual International Conference of the Alliance of Digital Humanities Organizations, 2020

2019

On-Policy Trust Region Policy Optimisation with Replay Buffers.

Dmitry Kangin, Nicolas Pugeault

CoRR, 2019

Training-ValueNet: Data Driven Label Noise Cleaning on Weakly-Supervised Web Images.

Luka Smyth, Dmitry Kangin, Nicolas Pugeault

Proceedings of the Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics, 2019

2018

Self-Organised direction aware data partitioning algorithm.

Xiaowei Gu, Plamen Angelov, Dmitry Kangin, José C. Príncipe

Inf. Sci., 2018

Continuous Control With a Combination of Supervised and Reinforcement Learning.

Dmitry Kangin, Nicolas Pugeault

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Aggregated Sparse Attention for Steering Angle Prediction.

Sen He, Dmitry Kangin, Yang Mi, Nicolas Pugeault

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Empirical Data Analytics.

Plamen Angelov, Xiaowei Gu, Dmitry Kangin

Int. J. Intell. Syst., 2017

A new type of distance metric and its use for clustering.

Xiaowei Gu, Plamen P. Angelov, Dmitry Kangin, José C. Príncipe

Evol. Syst., 2017

Multi-Bernoulli filter for group object tracking and its Gaussian-Wishart implementation.

Dmitry Kangin, Garik Markarian

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Intelligent video surveillance.

Dmitry Kangin

PhD thesis, 2016

Autonomously evolving classifier TEDAClass.

Dmitry Kangin, Plamen Angelov, José Antonio Iglesias

Inf. Sci., 2016

Empirical data analysis: A new tool for data analytics.

Plamen Angelov, Xiaowei Gu, Dmitry Kangin, José C. Príncipe

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

2015

Recursive SVM Based on TEDA.

Dmitry Kangin, Plamen Angelov

Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015

Multiple video object tracking using variational inference.

Dmitry Kangin, Denis Kolev, Garik Markarian

Proceedings of the Sensor Data Fusion: Trends, Solutions, Applications, 2015

Evolving Classifier TEDAClass for Big Data.

Dmitry Kangin, Plamen Angelov, José Antonio Iglesias, Araceli Sanchis

Proceedings of the INNS Conference on Big Data 2015, 2015

Evolving clustering, classification and regression with TEDA.

Dmitry Kangin, Plamen Angelov

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Data fusion for unsupervised video object detection, tracking and geo-positioning.

Denis Kolev, Garik Markarian, Dmitry Kangin

Proceedings of the 18th International Conference on Information Fusion, 2015

2014

Symbol recognition with a new autonomously evolving classifier autoclass.

Plamen Angelov, Dmitry Kangin, Xiaowei Zhou, Denis Kolev

Proceedings of the 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2014

2013

Vehicle Plate Recognition Using Improved Neocognitron Neural Network.

Dmitry Kangin, George Kolev, Plamen Angelov

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013