Dmitry Kangin

发表

Symbol recognition with a new autonomously evolving classifier autoclass

Plamen P. Angelov, Xiaowei Zhou, Denis Kolev, 2014, 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Kernel Models and Support Vector Machines

Denis Kolev, Dmitry Kangin, Mikhail Suvorov, 2016 .

Self-Organised direction aware data partitioning algorithm

Xiaowei Gu, Plamen Angelov, José Carlos Príncipe, 2018, Inf. Sci..

A new type of distance metric and its use for clustering

Plamen P. Angelov, Xiaowei Gu, José Carlos Príncipe, 2017, Evol. Syst..

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

Dmitry Kangin, Jacqueline Christmas, Charlotte Tupman, 2020, DH.

Aggregated Sparse Attention for Steering Angle Prediction

Dmitry Kangin, Nicolas Pugeault, Sen He, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Recursive SVM Based on TEDA

Plamen P. Angelov, Dmitry Kangin, P. Angelov, 2015, SLDS.

Empirical data analysis: A new tool for data analytics

Plamen P. Angelov, Xiaowei Gu, José Carlos Príncipe, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Evolving clustering, classification and regression with TEDA

Plamen Angelov, Dmitry Kangin, P. Angelov, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Autonomously evolving classifier TEDAClass

Plamen Angelov, Dmitry Kangin, José Antonio Iglesias, 2016, Inf. Sci..

On-Policy Trust Region Policy Optimisation with Replay Buffers pdf

Dmitry Kangin, Nicolas Pugeault, 2019, ArXiv.

Multiple video object tracking using variational inference

Denis Kolev, Garik Markarian, Dmitry Kangin, 2015, 2015 Sensor Data Fusion: Trends, Solutions, Applications (SDF).

Empirical Data Analytics

Xiaowei Gu, Plamen Angelov, Dmitry Kangin, 2017, Int. J. Intell. Syst..

Vehicle Plate Recognition Using Improved Neocognitron Neural Network

Plamen P. Angelov, Dmitry Kangin, George Kolev, 2013, ICANN.

Evolving Classifier TEDAClass for Big Data

Plamen P. Angelov, Araceli Sanchis, Dmitry Kangin, 2015, INNS Conference on Big Data.

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

Dmitry Kangin, Shakir Mohamed, Suman V. Ravuri, 2020, ArXiv.

Continuous Control With a Combination of Supervised and Reinforcement Learning

Dmitry Kangin, Nicolas Pugeault, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

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

Garik Markarian, Dmitry Kangin, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Combination of Supervised and Reinforcement Learning For Vision-Based Autonomous Control

Dmitry Kangin, Nicolas Pugeault, 2018 .

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

Dmitry Kangin, Nicolas Pugeault, L Smyth, 2019, 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Intelligent video surveillance

Dmitry Kangin, D. Kangin, 2016 .

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

Denis Kolev, Garik Markarian, Dmitry Kangin, 2015, 2015 18th International Conference on Information Fusion (Fusion).

Reconsidering the Roman workshop: using computer vision to analyse the making of ancient inscriptions

Dmitry Kangin, Charlotte Tupman, Jacqueline Christmas, 2021 .

Skilful precipitation nowcasting using deep generative models of radar

Raia Hadsell, Karen Simonyan, Dmitry Kangin, 2021, Nature.