Plamen P. Angelov

53 papers A* 1A 1B 4Journal 38Unranked 6
YearRankTypeTitle / Venue / Authors
2025 A* conf
Complex-Cycle-Consistent Diffusion Model for Monaural Speech Enhancement.
AAAI
Yi Li, Yang Sun, Plamen P. Angelov
2025 J jnl
Recursive SNE: Fast Prototype-Based t-SNE for Large-Scale and Online Data.
Trans. Mach. Learn. Res.
Agil Aghasanli, Plamen P. Angelov
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
Semisupervised Fuzzily Weighted Adaptive Boosting for Classification.
IEEE Trans. Fuzzy Syst.
Xiaowei Gu, Plamen P. Angelov, Qiang Shen
2023 J jnl
Autonomous learning for fuzzy systems: a review.
Artif. Intell. Rev.
Xiaowei Gu, Jungong Han, Qiang Shen, Plamen P. Angelov
2022 J jnl
A Self-Training Hierarchical Prototype-based Ensemble Framework for Remote Sensing Scene Classification.
Inf. Fusion
Xiaowei Gu, Ce Zhang, Qiang Shen, Jungong Han, Plamen P. Angelov, Peter M. Atkinson
2022 J jnl
A Semi-Supervised Deep Rule-Based Approach for Complex Satellite Sensor Image Analysis.
IEEE Trans. Pattern Anal. Mach. Intell.
Xiaowei Gu, Plamen P. Angelov, Ce Zhang, Peter M. Atkinson
2022 J jnl
Editorial: Special issue on recent progress in autonomous machine learning.
Inf. Sci.
Mahardhika Pratama, Edwin Lughofer, Plamen P. Angelov
2022 J jnl
Multiclass Fuzzily Weighted Adaptive-Boosting-Based Self-Organizing Fuzzy Inference Ensemble Systems for Classification.
IEEE Trans. Fuzzy Syst.
Xiaowei Gu, Plamen P. Angelov
2022 J jnl
Self-Organizing Fuzzy Belief Inference System for Classification.
IEEE Trans. Fuzzy Syst.
Xiaowei Gu, Plamen P. Angelov, Qiang Shen
2021 J jnl
Explainable artificial intelligence: an analytical review.
WIREs Data Mining Knowl. Discov.
Plamen P. Angelov, Eduardo A. Soares, Richard Jiang, Nicholas I. Arnold, Peter M. Atkinson
2021 J jnl
Explaining Deep Learning Models Through Rule-Based Approximation and Visualization.
IEEE Trans. Fuzzy Syst.
Eduardo A. Soares, Plamen P. Angelov, Bruno Costa, Marcos Castro, Subramanya Nageshrao, Dimitar P. Filev
2021 J jnl
Particle Swarm Optimized Autonomous Learning Fuzzy System.
IEEE Trans. Cybern.
Xiaowei Gu, Qiang Shen, Plamen P. Angelov
2021 — conf
Stochastic Computing co-processing elements for Evolving Autonomous Data Partitioning.
DCIS
Alejandro Morán, Vincent Canals, Plamen P. Angelov, Christiam F. Frasser, Erik S. Skibinsky-Gitlin, Joan Font, Eugeni Isern, Miquel Roca, Josep L. Rosselló
2020 J jnl
A self-adaptive synthetic over-sampling technique for imbalanced classification.
Int. J. Intell. Syst.
Xiaowei Gu, Plamen P. Angelov, Eduardo A. Soares
2020 J jnl
Highly interpretable hierarchical deep rule-based classifier.
Appl. Soft Comput.
Xiaowei Gu, Plamen P. Angelov
2020 J jnl
Interpretable policies for reinforcement learning by empirical fuzzy sets.
Eng. Appl. Artif. Intell.
Jianfeng Huang, Plamen P. Angelov, Chengliang Yin
2019 J jnl
A Self-Adaptive Synthetic Over-Sampling Technique for Imbalanced Classification.
CoRR
Xiaowei Gu, Plamen P. Angelov, Eduardo Almeida Soares
2019 — conf
A Semi-supervised Deep Rule-Based Approach for Remote Sensing Scene Classification.
INNSBDDL
Xiaowei Gu, Plamen P. Angelov
2019 B conf
Deep Rule-Based Aerial Scene Classifier using High-Level Ensemble Feature Descriptor.
IJCNN
Xiaowei Gu, Plamen P. Angelov
2019 — book
Empirical Approach to Machine Learning
Plamen P. Angelov, Xiaowei Gu
2018 J jnl
A Generalized Methodology for Data Analysis.
IEEE Trans. Cybern.
Plamen P. Angelov, Xiaowei Gu, José C. Príncipe
2018 J jnl
A Massively Parallel Deep Rule-Based Ensemble Classifier for Remote Sensing Scenes.
IEEE Geosci. Remote. Sens. Lett.
Xiaowei Gu, Plamen P. Angelov, Ce Zhang, Peter M. Atkinson
2018 J jnl
A method for autonomous data partitioning.
Inf. Sci.
Xiaowei Gu, Plamen P. Angelov, José C. Príncipe
2018 J jnl
Autonomous Learning Multimodel Systems From Data Streams.
IEEE Trans. Fuzzy Syst.
Plamen P. Angelov, Xiaowei Gu, José C. Príncipe
2018 J jnl
Correntropy-Based Evolving Fuzzy Neural System.
IEEE Trans. Fuzzy Syst.
Rong-Jing Bao, Hai-Jun Rong, Plamen P. Angelov, Badong Chen, Pak-Kin Wong
2018 J jnl
Deep rule-based classifier with human-level performance and characteristics.
Inf. Sci.
Plamen P. Angelov, Xiaowei Gu
2018 J jnl
Empirical Fuzzy Sets.
Int. J. Intell. Syst.
Plamen P. Angelov, Xiaowei Gu
2018 — conf
Foreign currency exchange rate prediction using neuro-fuzzy systems.
INNS Conference on Big Data
Yoke Leng Yong, Yunli Lee, Xiaowei Gu, Plamen P. Angelov, David Chek Ling Ngo, Elnaz Shafipour
2018 — ed.
INNS Conference on Big Data and Deep Learning 2018, Sanur, Bali, Indonesia, 17-19 April 2018
INNS Conference on Big Data
Seiichi Ozawa, Ah-Hwee Tan, Plamen P. Angelov, Asim Roy, Mahardhika Pratama
2018 J jnl
Parsimonious random vector functional link network for data streams.
Inf. Sci.
Mahardhika Pratama, Plamen P. Angelov, Edwin Lughofer, Meng Joo Er
2018 J jnl
Self-organising fuzzy logic classifier.
Inf. Sci.
Xiaowei Gu, Plamen P. Angelov
2018 J jnl
Semi-supervised deep rule-based approach for image classification.
Appl. Soft Comput.
Xiaowei Gu, Plamen P. Angelov
2018 J jnl
Stability of Evolving Fuzzy Systems Based on Data Clouds.
IEEE Trans. Fuzzy Syst.
Hai-Jun Rong, Plamen P. Angelov, Xiaowei Gu, Jian-Ming Bai
2018 J jnl
Toward Anthropomorphic Machine Learning.
Computer
Plamen P. Angelov, Xiaowei Gu
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 B conf
A randomized neural network for data streams.
IJCNN
Mahardhika Pratama, Plamen P. Angelov, Jie Lu, Edwin Lughofer, Manjeevan Seera, Chee Peng Lim
2017 J jnl
Parsimonious Random Vector Functional Link Network for Data Streams.
CoRR
Mahardhika Pratama, Plamen P. Angelov, Edwin Lughofer, Meng Joo Er
2016 B conf
Autonomous Data Density based clustering method.
IJCNN
Plamen P. Angelov, Xiaowei Gu, Germán Gutiérrez, José Antonio Iglesias, Araceli Sanchis
2016 B conf
Autonomous data-driven clustering for live data stream.
SMC
Xiaowei Gu, Plamen P. Angelov
2016 — conf
Online evolving fuzzy rule-based prediction model for high frequency trading financial data stream.
EAIS
Xiaowei Gu, Plamen P. Angelov, Azliza Mohd Ali, William A. Gruver, Georgi Gaydadjiev
2016 — conf
Parallel Computing TEDA for High Frequency Streaming Data Clustering.
INNS Conference on Big Data
Xiaowei Gu, Plamen P. Angelov, Germán Gutiérrez, José Antonio Iglesias, Araceli Sanchis
2015 — ch.
A Robust Evolving Cloud-Based Controller.
Handbook of Computational Intelligence
Plamen P. Angelov, Igor Skrjanc, Saso Blazic
2014 J jnl
PANFIS: A Novel Incremental Learning Machine.
IEEE Trans. Neural Networks Learn. Syst.
Mahardhika Pratama, Sreenatha G. Anavatti, Plamen P. Angelov, Edwin Lughofer
2013 J jnl
IRootLab: a free and open-source MATLAB toolbox for vibrational biospectroscopy data analysis.
Bioinform.
Júlio Trevisan, Plamen P. Angelov, Andrew D. Scott, Paul L. Carmichael, Francis L. Martin
2008 J jnl
Evolving Fuzzy-Rule-Based Classifiers From Data Streams.
IEEE Trans. Fuzzy Syst.
Plamen P. Angelov, Xiaowei Zhou
2004 J jnl
An approach to online identification of Takagi-Sugeno fuzzy models.
IEEE Trans. Syst. Man Cybern. Part B
Plamen P. Angelov, Dimitar P. Filev
2004 J jnl
Flexible models with evolving structure.
Int. J. Intell. Syst.
Plamen P. Angelov, Dimitar P. Filev
2003 J jnl
An evolutionary approach to fuzzy rule-based model synthesis using indices for rules.
Fuzzy Sets Syst.
Plamen P. Angelov
2003 A conf
Automatic Design Synthesis and Optimization of Component-Based Systems by Evolutionary Algorithms.
GECCO
Plamen P. Angelov, Y. Zhang, Jonathan A. Wright, V. I. Hanby, Richard A. Buswell
2003 J jnl
Automatic generation of fuzzy rule-based models from data by genetic algorithms.
Inf. Sci.
Plamen P. Angelov, Richard A. Buswell
2001 — conf
Transparency and simplification of rule-based models for on-line adaptation.
EUSFLAT Conf.
Richard A. Buswell, Plamen P. Angelov, Jonathan A. Wright
1997 J jnl
Optimization in an intuitionistic fuzzy environment.
Fuzzy Sets Syst.
Plamen P. Angelov