Vehicle Plate Recognition Using Improved Neocognitron Neural Network. - Dmitry Kangin; George Kolev; Plamen Angelov 001 (ICANN, 2013)

Symbol recognition with a new autonomously evolving classifier autoclass. - Plamen Angelov 001; Dmitry Kangin; Xiaowei Zhou 002; Denis Kolev (EAIS, 2014)

Data fusion for unsupervised video object detection, tracking and geo-positioning. - Denis Kolev; Garik Markarian; Dmitry Kangin (FUSION, 2015)

Evolving clustering, classification and regression with TEDA. - Dmitry Kangin; Plamen Angelov 001 (IJCNN, 2015)

Evolving Classifier TEDAClass for Big Data. - Dmitry Kangin; Plamen Angelov 001; José Antonio Iglesias 001; Araceli Sanchis (INNS Conference on Big Data, 2015)

Multiple video object tracking using variational inference. - Dmitry Kangin; Denis Kolev; Garik Markarian (SDF, 2015)

Recursive SVM Based on TEDA. - Dmitry Kangin; Plamen Angelov 001 (SLDS, 2015)

Empirical data analysis: A new tool for data analytics. - Plamen Angelov 001; Xiaowei Gu 001; Dmitry Kangin; José C. Príncipe (SMC, 2016)

Autonomously evolving classifier TEDAClass. - Dmitry Kangin; Plamen Angelov 001; José Antonio Iglesias 001 (Inf. Sci., 2016)

Intelligent video surveillance. - Dmitry Kangin (2016)

Multi-Bernoulli filter for group object tracking and its Gaussian-Wishart implementation. - Dmitry Kangin; Garik Markarian (IJCNN, 2017)

A new type of distance metric and its use for clustering. - Xiaowei Gu 001; Plamen P. Angelov; Dmitry Kangin; José C. Príncipe (Evol. Syst., 2017)

Empirical Data Analytics. - Plamen Angelov 001; Xiaowei Gu 001; Dmitry Kangin (Int. J. Intell. Syst., 2017)

Aggregated Sparse Attention for Steering Angle Prediction. - Sen He 001; Dmitry Kangin; Yang Mi; Nicolas Pugeault (ICPR, 2018)

Continuous Control With a Combination of Supervised and Reinforcement Learning. - Dmitry Kangin; Nicolas Pugeault (IJCNN, 2018)

Self-Organised direction aware data partitioning algorithm. - Xiaowei Gu 001; Plamen Angelov 001; Dmitry Kangin; José C. Príncipe (Inf. Sci., 2018)

Training-ValueNet: Data Driven Label Noise Cleaning on Weakly-Supervised Web Images. - Luka Smyth; Dmitry Kangin; Nicolas Pugeault (ICDL-EPIROB, 2019)

On-Policy Trust Region Policy Optimisation with Replay Buffers. - Dmitry Kangin; Nicolas Pugeault (CoRR, 2019)

Reconsidering the Roman Workshop: using machine learning to examine the processes behind inscribed texts. - Charlotte Tupman; Jacqueline Christmas; Dmitry Kangin (DH, 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)

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; et al. (CoRR, 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; et al. (Nat., 2021)

Imbedding Deep Neural Networks. - Andrew Corbett; Dmitry Kangin (ICLR, 2022)

Interpretable-through-prototypes deepfake detection for diffusion models. - Agil Aghasanli; Dmitry Kangin; Plamen Angelov 001 (ICCV (Workshops), 2023)

Towards interpretable-by-design deep learning algorithms. - Plamen Angelov 001; Dmitry Kangin; Ziyang Zhang (CoRR, 2023)

Machine Learning within Latent Spaces formed by Foundation Models. - Bernard Tomczyk; Plamen Angelov 001; Dmitry Kangin (IS, 2024)

Unsupervised Domain Adaptation within Deep Foundation Latent Spaces. - Dmitry Kangin; Plamen Angelov 001 (CoRR, 2024)

IMAFD: An Interpretable Multi-stage Approach to Flood Detection from time series Multispectral Data. - Ziyang Zhang; Plamen Angelov 001; Dmitry Kangin; Nicolas Longépé (Appl. Soft Comput., 2025)

IDEAL: Interpretable-by-Design ALgorithms for learning from foundation feature spaces. - Plamen Angelov 001; Dmitry Kangin; Ziyang Zhang (Neurocomputing, 2025)

COMIX: Compositional Explanations using Prototypes. - Sarath Sivaprasad; Dmitry Kangin; Plamen Angelov 001; Mario Fritz (CoRR, 2025)

i-WiViG: Interpretable Window Vision GNN. - Ivica Obadic; Dmitry Kangin; Dário A. B. Oliveira; Plamen P. Angelov; Xiao Xiang Zhu 001 (CoRR, 2025)