Dmitry Kangin

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 21

Top Venues

Lancaster University, UK (PHD)

Education History

Lancaster University, UK

PHD

Publications

Ziyang Zhang, Plamen Angelov, Dmitry Kangin, Nicolas Longépé
IMAFD: An Interpretable Multi-stage Approach to Flood Detection from time series Multispectral Data. CoRR (2024)
Dmitry Kangin, Plamen Angelov
Unsupervised Domain Adaptation within Deep Foundation Latent Spaces. CoRR (2024)
Plamen P. Angelov, Dmitry Kangin, Ziyang Zhang
Towards interpretable-by-design deep learning algorithms. CoRR (2023)
Agil Aghasanli, Dmitry Kangin, Plamen P. Angelov
Interpretable-through-prototypes deepfake detection for diffusion models. ICCV (Workshops) (2023)
Andrew Corbett, Dmitry Kangin
Imbedding Deep Neural Networks. CoRR (2022)
Andrew Corbett, Dmitry Kangin
Imbedding Deep Neural Networks. ICLR (2022)
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
Skillful Precipitation Nowcasting using Deep Generative Models of Radar. CoRR (2021)
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
Skilful precipitation nowcasting using deep generative models of radar. Nat. 597 (7878) (2021)
Charlotte Tupman, Jacqueline Christmas, Dmitry Kangin
Reconsidering the Roman Workshop: using machine learning to examine the processes behind inscribed texts. DH (2020)
Rachel Prudden, Samantha V. Adams, Dmitry Kangin, Niall H. Robinson, Suman V. Ravuri, Shakir Mohamed, Alberto Arribas
A review of radar-based nowcasting of precipitation and applicable machine learning techniques. CoRR (2020)
Dmitry Kangin, Nicolas Pugeault
On-Policy Trust Region Policy Optimisation with Replay Buffers. CoRR (2019)
Luka Smyth, Dmitry Kangin, Nicolas Pugeault
Training-ValueNet: Data Driven Label Noise Cleaning on Weakly-Supervised Web Images. ICDL-EPIROB (2019)
Sen He, Dmitry Kangin, Yang Mi, Nicolas Pugeault
Aggregated Sparse Attention for Steering Angle Prediction. CoRR (2018)
Xiaowei Gu, Plamen Angelov, Dmitry Kangin, José C. Príncipe
Self-Organised direction aware data partitioning algorithm. Inf. Sci. 423 (2018)
Dmitry Kangin, Nicolas Pugeault
Continuous Control With a Combination of Supervised and Reinforcement Learning. IJCNN (2018)
Sen He, Dmitry Kangin, Yang Mi, Nicolas Pugeault
Aggregated Sparse Attention for Steering Angle Prediction. ICPR (2018)
Plamen Angelov, Xiaowei Gu, Dmitry Kangin
Empirical Data Analytics. Int. J. Intell. Syst. 32 (12) (2017)
Xiaowei Gu, Plamen P. Angelov, Dmitry Kangin, José C. Príncipe
A new type of distance metric and its use for clustering. Evol. Syst. 8 (3) (2017)
Dmitry Kangin, Garik Markarian
Multi-Bernoulli filter for group object tracking and its Gaussian-Wishart implementation. IJCNN (2017)
Plamen P. Angelov, Xiaowei Gu, Dmitry Kangin, José C. Príncipe
Empirical data analysis: A new tool for data analytics. SMC (2016)
Dmitry Kangin, Plamen Angelov, José Antonio Iglesias
Autonomously evolving classifier TEDAClass. Inf. Sci. 366 (2016)
Denis Kolev, Garik Markarian, Dmitry Kangin
Data fusion for unsupervised video object detection, tracking and geo-positioning. FUSION (2015)
Dmitry Kangin, Plamen P. Angelov, José Antonio Iglesias, Araceli Sanchis
Evolving Classifier TEDAClass for Big Data. INNS Conference on Big Data (2015)
Dmitry Kangin, Denis Kolev, Garik Markarian
Multiple video object tracking using variational inference. SDF (2015)
Dmitry Kangin, Plamen P. Angelov
Recursive SVM Based on TEDA. SLDS (2015)
Dmitry Kangin, Plamen Angelov
Evolving clustering, classification and regression with TEDA. IJCNN (2015)
Plamen P. Angelov, Dmitry Kangin, Xiaowei Zhou, Denis Kolev
Symbol recognition with a new autonomously evolving classifier autoclass. EAIS (2014)
Dmitry Kangin, George Kolev, Plamen P. Angelov
Vehicle Plate Recognition Using Improved Neocognitron Neural Network. ICANN (2013)

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Publication Activity (10 Years)

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Dmitry Kangin