 | 2012 |
| 45 |  | José Antonio Iglesias,
Plamen P. Angelov,
Agapito Ledezma,
Araceli Sanchís:
Creating Evolving User Behavior Profiles Automatically.
IEEE Trans. Knowl. Data Eng. 24(5): 854-867 (2012) |
| 2011 |
| 44 |  | Javier Andreu,
Rashmi Dutta Baruah,
Plamen P. Angelov:
Automatic scene recognition for low-resource devices using evolving classifiers.
FUZZ-IEEE 2011: 2779-2785 |
| 43 |  | Javier Andreu,
Rashmi Dutta Baruah,
Plamen P. Angelov:
Real time recognition of human activities from wearable sensors by evolving classifiers.
FUZZ-IEEE 2011: 2786-2793 |
| 42 |  | Plamen P. Angelov:
Autonomous Learning Machines - Generating Rules from Data Streams.
IJCCI (NCTA) 2011: 21 |
| 41 |  | Rashmi Dutta Baruah,
Plamen P. Angelov,
Javier Andreu:
Simpl_eClass: Simplified potential-free evolving fuzzy rule-based classifiers.
SMC 2011: 2249-2254 |
| 40 |  | Edwin Lughofer,
Plamen P. Angelov:
Handling drifts and shifts in on-line data streams with evolving fuzzy systems.
Appl. Soft Comput. 11(2): 2057-2068 (2011) |
| 39 |  | José de Jesús Rubio,
Plamen P. Angelov,
Jaime Pacheco:
Uniformly Stable Backpropagation Algorithm to Train a Feedforward Neural Network.
IEEE Transactions on Neural Networks 22(3): 356-366 (2011) |
| 38 |  | Plamen P. Angelov:
Fuzzily Connected Multimodel Systems Evolving Autonomously From Data Streams.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 41(4): 898-910 (2011) |
| 37 |  | Plamen P. Angelov,
Pouria Sadeghi-Tehran,
Ramin Ramezani:
An approach to automatic real-time novelty detection, object identification, and tracking in video streams based on recursive density estimation and evolving Takagi-Sugeno fuzzy systems.
Int. J. Intell. Syst. 26(3): 189-205 (2011) |
| 36 |  | Rashmi Dutta Baruah,
Plamen P. Angelov:
Evolving fuzzy systems for data streams: a survey.
Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery 1(6): 461-476 (2011) |
| 2010 |
| 35 |  | José Antonio Iglesias,
Plamen P. Angelov,
Agapito Ledezma,
Araceli Sanchís:
Human Activity Recognition in Intelligent Home Environments: An Evolving Approach.
ECAI 2010: 1047-1048 |
| 34 |  | Javier Andreu,
Plamen P. Angelov:
Forecasting time-series for NN GC1 using Evolving Takagi-Sugeno (eTS) Fuzzy Systems with on-line inputs selection.
FUZZ-IEEE 2010: 1-5 |
| 33 |  | Javier Andreu,
Plamen P. Angelov:
Real-time human activity recognition from wireless sensors using evolving fuzzy systems.
FUZZ-IEEE 2010: 1-8 |
| 32 |  | José Antonio Iglesias,
Plamen P. Angelov,
Agapito Ledezma,
Araceli Sanchís:
User modeling: Through statistical analysis and an evolving classifier.
FUZZ-IEEE 2010: 1-8 |
| 31 |  | Plamen P. Angelov,
Ronald R. Yager:
A simple fuzzy rule-based system through vector membership and kernel-based granulation.
IEEE Conf. of Intelligent Systems 2010: 349-354 |
| 30 |  | Pouria Sadeghi-Tehran,
Plamen P. Angelov,
Ramin Ramezani:
A Fast Recursive Approach to Autonomous Detection, Identification and Tracking of Multiple Objects in Video Streams under Uncertainties.
IPMU (2) 2010: 30-43 |
| 29 |  | Plamen P. Angelov,
Arthur K. Kordon:
Adaptive Inferential Sensors Based on Evolving Fuzzy Models.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 40(2): 529-539 (2010) |
| 28 |  | José Antonio Iglesias,
Plamen P. Angelov,
Agapito Ledezma,
Araceli Sanchís:
Human Activity Recognition Based on Evolving Fuzzy Systems.
Int. J. Neural Syst. 20(5): 355-364 (2010) |
| 27 |  | Simon McDonald,
Plamen P. Angelov:
Evolving takagi sugeno modelling with memory for slow processes.
KES Journal 14(1): 11-19 (2010) |
| 2009 |
| 26 |  | Edwin Lughofer,
Plamen P. Angelov:
Detecting and Reacting on Drifts and Shifts in On-Line Data Streams with Evolving Fuzzy Systems.
IFSA/EUSFLAT Conf. 2009: 931-937 |
| 25 |  | Plamen P. Angelov:
Evolving Fuzzy Systems.
Encyclopedia of Complexity and Systems Science 2009: 3242-3255 |
| 2008 |
| 24 |  | Simon McDonald,
Costas S. Xydeas,
Plamen P. Angelov:
A Retrospective Comparative Study of Three Data Modelling Techniques in Anticoagulation Therapy.
BMEI (1) 2008: 219-225 |
| 23 |  | Plamen P. Angelov,
Xiaowei Zhou:
On line learning fuzzy rule-based system structure from data streams.
FUZZ-IEEE 2008: 915-922 |
| 22 |  | Plamen P. Angelov,
Ramin Ramezani,
Xiaowei Zhou:
Autonomous novelty detection and object tracking in video streams using evolving clustering and Takagi-Sugeno type neuro-fuzzy system.
IJCNN 2008: 1456-1463 |
| 21 |  | Plamen P. Angelov,
Cosmin Danut Bocaniala,
Costas S. Xydeas,
Charles Patchett,
Daren Ansell,
Michael Everett,
Gang Leng:
A Passive Approach to Autonomous Collision Detection and Avoidance.
UKSim 2008: 64-69 |
| 20 |  | Simon McDonald,
Costas S. Xydeas,
Plamen P. Angelov:
Decision Support Systems: Improving Levels of Care and Lowering Costs in Anticoagulation Therapy.
eHealth 2008: 175-178 |
| 19 |  | Plamen P. Angelov,
Edwin Lughofer,
Xiaowei Zhou:
Evolving fuzzy classifiers using different model architectures.
Fuzzy Sets and Systems 159(23): 3160-3182 (2008) |
| 18 |  | Plamen P. Angelov,
Dimitar Filev,
Nikola K. Kasabov:
Guest Editorial Evolving Fuzzy Systems - Preface to the Special Section.
IEEE T. Fuzzy Systems 16(6): 1390-1392 (2008) |
| 17 |  | Plamen P. Angelov,
Xiaowei Zhou:
Evolving Fuzzy-Rule-Based Classifiers From Data Streams.
IEEE T. Fuzzy Systems 16(6): 1462-1475 (2008) |
| 16 |  | Plamen P. Angelov:
Evolving fuzzy systems.
Scholarpedia 3(2): 6274 (2008) |
| 2007 |
| 15 |  | Edwin Lughofer,
Plamen P. Angelov,
Xiaowei Zhou:
Evolving Single- and Multi-Model Fuzzy Classifiers with FLEXFIS-Class.
FUZZ-IEEE 2007: 1-6 |
| 14 |  | Plamen P. Angelov,
Xiaowei Zhou,
Dimitar Filev,
Edwin Lughofer:
Architectures for evolving fuzzy rule-based classifiers.
SMC 2007: 2050-2055 |
| 13 |  | José J. Macias-Hernandez,
Plamen P. Angelov,
Xiaowei Zhou:
Soft sensor for predicting crude oil distillation side streams using evolving takagi-sugeno fuzzy models.
SMC 2007: 3305-3310 |
| 12 |  | Plamen P. Angelov,
Xiaowei Zhou:
Evolving Fuzzy Classifier for Novelty Detection and Landmark Recognition by Mobile Robots.
Mobile Robots 2007: 89-118 |
| 2006 |
| 11 |  | Frank Klawonn,
Plamen P. Angelov:
Evolving Extended Naive Bayes Classifiers.
ICDM Workshops 2006: 643-647 |
| 10 |  | Costas S. Xydeas,
Plamen P. Angelov,
Shih-Yang Chiao,
M. Reoullas:
Advances in classification of EEG signals via evolving fuzzy classifiers and dependant multiple HMMs.
Comp. in Bio. and Med. 36(10): 1064-1083 (2006) |
| 9 |  | Plamen P. Angelov,
Costas S. Xydeas:
Fuzzy systems design: direct and indirect approaches.
Soft Comput. 10(9): 836-849 (2006) |
| 2004 |
| 8 |  | Plamen P. Angelov:
A fuzzy controller with evolving structure.
Inf. Sci. 161(1-2): 21-35 (2004) |
| 7 |  | Plamen P. Angelov:
An approach for fuzzy rule-base adaptation using on-line clustering.
Int. J. Approx. Reasoning 35(3): 275-289 (2004) |
| 6 |  | Plamen P. Angelov,
Dimitar Filev:
Flexible models with evolving structure.
Int. J. Intell. Syst. 19(4): 327-340 (2004) |
| 2003 |
| 5 |  | Plamen P. Angelov,
Y. Zhang,
Jonathan A. Wright,
V. I. Hanby,
R. A. Buswell:
Automatic Design Synthesis and Optimization of Component-Based Systems by Evolutionary Algorithms.
GECCO 2003: 1938-1950 |
| 4 |  | Plamen P. Angelov,
Dimitar Filev:
On-line Design of Takagi-Sugeno Models.
IFSA 2003: 576-584 |
| 3 |  | Plamen P. Angelov:
An evolutionary approach to fuzzy rule-based model synthesis using indices for rules.
Fuzzy Sets and Systems 137(3): 325-338 (2003) |
| 2 |  | Plamen P. Angelov,
R. A. Buswell:
Automatic generation of fuzzy rule-based models from data by genetic algorithms.
Inf. Sci. 150(1-2): 17-31 (2003) |
| 2001 |
| 1 |  | R. A. Buswell,
Plamen P. Angelov,
Jonathan A. Wright:
Transparency and simplification of rule-based models for on-line adaptation.
EUSFLAT Conf. 2001: 324-327 |