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Dmitry Kangin
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2020 – today
- 2024
- [c16]Bernard Tomczyk, Plamen Angelov, Dmitry Kangin:
Machine Learning within Latent Spaces formed by Foundation Models. IS 2024: 1-10 - [i8]Dmitry Kangin, Plamen Angelov:
Unsupervised Domain Adaptation within Deep Foundation Latent Spaces. CoRR abs/2402.14976 (2024) - [i7]Ziyang Zhang, Plamen Angelov, Dmitry Kangin, Nicolas Longépé:
IMAFD: An Interpretable Multi-stage Approach to Flood Detection from time series Multispectral Data. CoRR abs/2405.07916 (2024) - 2023
- [c15]Agil Aghasanli, Dmitry Kangin, Plamen Angelov:
Interpretable-through-prototypes deepfake detection for diffusion models. ICCV (Workshops) 2023: 467-474 - [i6]Plamen Angelov, Dmitry Kangin, Ziyang Zhang:
Towards interpretable-by-design deep learning algorithms. CoRR abs/2311.11396 (2023) - 2022
- [c14]Andrew Corbett, Dmitry Kangin:
Imbedding Deep Neural Networks. ICLR 2022 - [i5]Andrew Corbett, Dmitry Kangin:
Imbedding Deep Neural Networks. CoRR abs/2202.00113 (2022) - 2021
- [j5]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): 672-677 (2021) - [i4]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 abs/2104.00954 (2021) - 2020
- [c13]Charlotte Tupman, Jacqueline Christmas, Dmitry Kangin:
Reconsidering the Roman Workshop: using machine learning to examine the processes behind inscribed texts. DH 2020 - [i3]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 abs/2005.04988 (2020)
2010 – 2019
- 2019
- [c12]Luka Smyth, Dmitry Kangin, Nicolas Pugeault:
Training-ValueNet: Data Driven Label Noise Cleaning on Weakly-Supervised Web Images. ICDL-EPIROB 2019: 307-312 - [i2]Dmitry Kangin, Nicolas Pugeault:
On-Policy Trust Region Policy Optimisation with Replay Buffers. CoRR abs/1901.06212 (2019) - 2018
- [j4]Xiaowei Gu, Plamen Angelov, Dmitry Kangin, José C. Príncipe:
Self-Organised direction aware data partitioning algorithm. Inf. Sci. 423: 80-95 (2018) - [c11]Sen He, Dmitry Kangin, Yang Mi, Nicolas Pugeault:
Aggregated Sparse Attention for Steering Angle Prediction. ICPR 2018: 2398-2403 - [c10]Dmitry Kangin, Nicolas Pugeault:
Continuous Control With a Combination of Supervised and Reinforcement Learning. IJCNN 2018: 1-8 - [i1]Sen He, Dmitry Kangin, Yang Mi, Nicolas Pugeault:
Aggregated Sparse Attention for Steering Angle Prediction. CoRR abs/1803.05785 (2018) - 2017
- [j3]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): 167-177 (2017) - [j2]Plamen Angelov, Xiaowei Gu, Dmitry Kangin:
Empirical Data Analytics. Int. J. Intell. Syst. 32(12): 1261-1284 (2017) - [c9]Dmitry Kangin, Garik Markarian:
Multi-Bernoulli filter for group object tracking and its Gaussian-Wishart implementation. IJCNN 2017: 3161-3168 - 2016
- [b1]Dmitry Kangin:
Intelligent video surveillance. Lancaster University, UK, 2016 - [j1]Dmitry Kangin, Plamen Angelov, José Antonio Iglesias:
Autonomously evolving classifier TEDAClass. Inf. Sci. 366: 1-11 (2016) - [c8]Plamen Angelov, Xiaowei Gu, Dmitry Kangin, José C. Príncipe:
Empirical data analysis: A new tool for data analytics. SMC 2016: 52-59 - 2015
- [c7]Denis Kolev, Garik Markarian, Dmitry Kangin:
Data fusion for unsupervised video object detection, tracking and geo-positioning. FUSION 2015: 142-149 - [c6]Dmitry Kangin, Plamen Angelov:
Evolving clustering, classification and regression with TEDA. IJCNN 2015: 1-8 - [c5]Dmitry Kangin, Plamen Angelov, José Antonio Iglesias, Araceli Sanchis:
Evolving Classifier TEDAClass for Big Data. INNS Conference on Big Data 2015: 9-18 - [c4]Dmitry Kangin, Denis Kolev, Garik Markarian:
Multiple video object tracking using variational inference. SDF 2015: 1-6 - [c3]Dmitry Kangin, Plamen Angelov:
Recursive SVM Based on TEDA. SLDS 2015: 156-168 - 2014
- [c2]Plamen Angelov, Dmitry Kangin, Xiaowei Zhou, Denis Kolev:
Symbol recognition with a new autonomously evolving classifier autoclass. EAIS 2014: 1-7 - 2013
- [c1]Dmitry Kangin, George Kolev, Plamen Angelov:
Vehicle Plate Recognition Using Improved Neocognitron Neural Network. ICANN 2013: 628-640
Coauthor Index
aka: Plamen P. Angelov
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