Dmitry Kangin - RankMe

34 papers A* 1B 5C 2Journal 17Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	COMIX: Compositional Explanations using Prototypes. CoRR Sarath Sivaprasad, Dmitry Kangin, Plamen Angelov, Mario Fritz
2025	J	`jnl`	IDEAL: Interpretable-by-Design ALgorithms for learning from foundation feature spaces. Neurocomputing Plamen Angelov, Dmitry Kangin, Ziyang Zhang
2025	J	`jnl`	IMAFD: An Interpretable Multi-stage Approach to Flood Detection from time series Multispectral Data. Appl. Soft Comput. Ziyang Zhang, Plamen Angelov, Dmitry Kangin, Nicolas Longépé
2025	J	`jnl`	i-WiViG: Interpretable Window Vision GNN. CoRR Ivica Obadic, Dmitry Kangin, Dário A. B. Oliveira, Plamen P. Angelov, Xiao Xiang Zhu
2024	J	`jnl`	IMAFD: An Interpretable Multi-stage Approach to Flood Detection from time series Multispectral Data. CoRR Ziyang Zhang, Plamen Angelov, Dmitry Kangin, Nicolas Longépé
2024	—	`conf`	Machine Learning within Latent Spaces formed by Foundation Models. IS Bernard Tomczyk, Plamen Angelov, Dmitry Kangin
2024	J	`jnl`	Unsupervised Domain Adaptation within Deep Foundation Latent Spaces. CoRR Dmitry Kangin, Plamen Angelov
2023	—	`conf`	Interpretable-through-prototypes deepfake detection for diffusion models. ICCV (Workshops) Agil Aghasanli, Dmitry Kangin, Plamen Angelov
2023	J	`jnl`	Towards interpretable-by-design deep learning algorithms. CoRR Plamen Angelov, Dmitry Kangin, Ziyang Zhang
2022	A*	`conf`	Imbedding Deep Neural Networks. ICLR Andrew Corbett, Dmitry Kangin
2022	J	`jnl`	Imbedding Deep Neural Networks. CoRR Andrew Corbett, Dmitry Kangin
2021	J	`jnl`	Skilful precipitation nowcasting using deep generative models of radar. Nat. 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
2021	J	`jnl`	Skillful Precipitation Nowcasting using Deep Generative Models of Radar. CoRR 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
2020	J	`jnl`	A review of radar-based nowcasting of precipitation and applicable machine learning techniques. CoRR Rachel Prudden, Samantha V. Adams, Dmitry Kangin, Niall H. Robinson, Suman V. Ravuri, Shakir Mohamed, Alberto Arribas
2020	—	`conf`	Reconsidering the Roman Workshop: using machine learning to examine the processes behind inscribed texts. DH Charlotte Tupman, Jacqueline Christmas, Dmitry Kangin
2019	J	`jnl`	On-Policy Trust Region Policy Optimisation with Replay Buffers. CoRR Dmitry Kangin, Nicolas Pugeault
2019	—	`conf`	Training-ValueNet: Data Driven Label Noise Cleaning on Weakly-Supervised Web Images. ICDL-EPIROB Luka Smyth, Dmitry Kangin, Nicolas Pugeault
2018	B	`conf`	Aggregated Sparse Attention for Steering Angle Prediction. ICPR Sen He, Dmitry Kangin, Yang Mi, Nicolas Pugeault
2018	J	`jnl`	Aggregated Sparse Attention for Steering Angle Prediction. CoRR Sen He, Dmitry Kangin, Yang Mi, Nicolas Pugeault
2018	B	`conf`	Continuous Control With a Combination of Supervised and Reinforcement Learning. IJCNN Dmitry Kangin, Nicolas Pugeault
2018	J	`jnl`	Self-Organised direction aware data partitioning algorithm. Inf. Sci. Xiaowei Gu, Plamen Angelov, Dmitry Kangin, José C. Príncipe
2017	J	`jnl`	A new type of distance metric and its use for clustering. Evol. Syst. Xiaowei Gu, Plamen P. Angelov, Dmitry Kangin, José C. Príncipe
2017	J	`jnl`	Empirical Data Analytics. Int. J. Intell. Syst. Plamen Angelov, Xiaowei Gu, Dmitry Kangin
2017	B	`conf`	Multi-Bernoulli filter for group object tracking and its Gaussian-Wishart implementation. IJCNN Dmitry Kangin, Garik Markarian
2016	J	`jnl`	Autonomously evolving classifier TEDAClass. Inf. Sci. Dmitry Kangin, Plamen Angelov, José Antonio Iglesias
2016	B	`conf`	Empirical data analysis: A new tool for data analytics. SMC Plamen Angelov, Xiaowei Gu, Dmitry Kangin, José C. Príncipe
2016	—	`—`	Intelligent video surveillance. Dmitry Kangin
2015	C	`conf`	Data fusion for unsupervised video object detection, tracking and geo-positioning. FUSION Denis Kolev, Garik Markarian, Dmitry Kangin
2015	—	`conf`	Evolving Classifier TEDAClass for Big Data. INNS Conference on Big Data Dmitry Kangin, Plamen Angelov, José Antonio Iglesias, Araceli Sanchis
2015	B	`conf`	Evolving clustering, classification and regression with TEDA. IJCNN Dmitry Kangin, Plamen Angelov
2015	—	`conf`	Multiple video object tracking using variational inference. SDF Dmitry Kangin, Denis Kolev, Garik Markarian
2015	—	`conf`	Recursive SVM Based on TEDA. SLDS Dmitry Kangin, Plamen Angelov
2014	—	`conf`	Symbol recognition with a new autonomously evolving classifier autoclass. EAIS Plamen Angelov, Dmitry Kangin, Xiaowei Zhou, Denis Kolev
2013	C	`conf`	Vehicle Plate Recognition Using Improved Neocognitron Neural Network. ICANN Dmitry Kangin, George Kolev, Plamen Angelov