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Professor Plamen Angelov

Professor, Founding member, Director, Funding group lead

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  1. 2018
  2. Published

    A Method for Autonomous Data Partitioning

    Gu, X., Angelov, P. P. & Principe, J., 09/2018, In: Information Sciences. 460-461, p. 65-82 18 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  3. Published

    Towards Anthropomorphic Machine Learning

    Angelov, P. P. & Gu, X., 09/2018, In: IEEE Computer. 51, 9, p. 18-27 10 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  4. Published

    Towards Large Scale Ad-hoc Teamwork

    Shafipour Yourdshahi, E., Pinder, T., Dhawan, G., Soriano Marcolino, L. & Angelov, P. P., 13/09/2018, 2018 IEEE International Conference on Agents (ICA). IEEE, 6 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  5. Published

    A Generalized Methodology for Data Analysis

    Angelov, P. P., Gu, X. & Principe, J., 10/2018, In: IEEE Transactions on Cybernetics. 48, 10, p. 2981-2993 13 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  6. Published

    Deep rule-based classifier with human-level performance and characteristics

    Angelov, P. P. & Gu, X., 10/2018, In: Information Sciences. 463-464, p. 196-213 18 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  7. Published

    Stability of Evolving Fuzzy Systems based on Data Clouds

    Rong, H., Angelov, P. P., Gu, X. & Bai, J., 10/2018, In: IEEE Transactions on Fuzzy Systems. 26, 5, p. 2774-2784 11 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  8. Published

    A Deep Rule-based Approach for Satellite Scene Image Analysis

    Gu, X. & Angelov, P. P., 7/10/2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, p. 2778-2783 6 p. (2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  9. Published

    Automatic detection of computer network traffic anomalies based on eccentricity analysis

    Martins, R. S., Angelov, P. & Costa, B. S. J., 15/10/2018, 2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8 p. 8491507

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  10. Published

    Preface

    Corrales, J. C., Iglesias, J. A. & Angelov, P., 11/2018, Advances in Information and Communication Technologies for Adapting Agriculture to Climate Change II: Proceedings of the 2nd International Conference of ICT for Adapting Agriculture to Climate Change (AACC’18), November 21–23, 2018, Cali, Colombia. Corrales, J. C., Angelov, P. & Iglesias, J. A. (eds.). Cham: Springer, p. v-vi 2 p. (Advances in Intelligent Systems and Computing; vol. 893).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Other chapter contribution

  11. Published

    Foreign Currency Exchange Rate Prediction using Neuro-Fuzzy Systems

    Yong, Y. L., Lee, Y., Gu, X., Angelov, P. P., Ling Ngo, D. C. & Shafipour Yourdshahi, E., 1/12/2018, Procedia Computer Science. Elsevier, Vol. 144. p. 232-238 7 p. (Procedia Computer Science; vol. 144).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  12. 2019
  13. Published

    Anomaly Detection—Empirical Approach

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. P. & Gu, X. (eds.). Cham: Springer, p. 157-173 17 p. (Studies in Computational Intelligence; vol. 800).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review

  14. Published

    Applications of Autonomous Anomaly Detection

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Springer-Verlag, Vol. 800. p. 249-259 11 p. (Studies in Computational Intelligence; vol. 800).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review

  15. Published

    Applications of Autonomous Data Partitioning

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Springer-Verlag, Vol. 800. p. 261-276 16 p. (Studies in Computational Intelligence; vol. 800).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review

  16. Published

    Applications of Autonomous Learning Multi-model Systems

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Springer-Verlag, Vol. 800. p. 277-293 17 p. (Studies in Computational Intelligence; vol. 800).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review

  17. Published

    Applications of Deep Rule-Based Classifiers

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Springer-Verlag, Vol. 800. p. 295-319 25 p. (Studies in Computational Intelligence; vol. 800).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review

  18. Published

    Applications of Semi-supervised Deep Rule-Based Classifiers

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Springer-Verlag, Vol. 800. p. 321-340 20 p. (Studies in Computational Intelligence; vol. 800).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review

  19. Published

    Autonomous Learning Multi-model Systems

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Springer-Verlag, Vol. 800. p. 199-222 24 p. (Studies in Computational Intelligence; vol. 800).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review

  20. Published

    Brief Introduction to Computational Intelligence

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Springer-Verlag, Vol. 800. p. 69-99 31 p. (Studies in Computational Intelligence; vol. 800).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review

  21. Published

    Brief Introduction to Statistical Machine Learning

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Springer-Verlag, Vol. 800. p. 17-67 51 p. (Studies in Computational Intelligence; vol. 800).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review

  22. Published

    Data Partitioning—Empirical Approach

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Springer-Verlag, Vol. 800. p. 175-198 24 p. (Studies in Computational Intelligence; vol. 800).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review

  23. Published

    Empirical Approach to Machine Learning

    Angelov, P. P. & Gu, X., 2019, Cham: Springer. 437 p. (Studies in Computational Intelligence; vol. 800)

    Research output: Book/Report/Proceedings › Book

  24. Published

    Empirical Fuzzy Sets and Systems

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Springer-Verlag, Vol. 800. p. 135-155 21 p. (Studies in Computational Intelligence; vol. 800).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review

  25. Published

    Epilogue: Studies in Computational Intelligence

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Springer-Verlag, Vol. 800. p. 341-346 6 p. (Studies in Computational Intelligence; vol. 800).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review

  26. Published

    Fair-by-design explainable models for prediction of recidivism

    Almeida Soares, E. & Angelov, P., 2019, Arxiv.

    Research output: Other contribution

  27. Published

    Introduction

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Springer-Verlag, Vol. 800. p. 1-14 14 p. (Studies in Computational Intelligence; vol. 800).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review

  28. Published

    Transparent Deep Rule-Based Classifiers

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Springer-Verlag, Vol. 800. p. 223-245 23 p. (Studies in Computational Intelligence; vol. 800).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review

  29. Published

    Empirical Approach—Introduction

    Angelov, P. P. & Gu, X., 1/01/2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Cham: Springer-Verlag, p. 103-133 31 p. (Studies in Computational Intelligence; vol. 800).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review

  30. Published

    Preface

    Angelov, P. P. & Gu, X., 1/01/2019, Empirical Approach to Machine Learning. Cham: Springer, p. xv-xviii 4 p. (Studies in Computational Intelligence; vol. 800).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Other chapter contribution

  31. Published

    Towards Evolving Cooperative Mapping for Large-Scale UAV Teams

    Shafipour Yourdshahi, E., Angelov, P. P., Soriano Marcolino, L. & Tsianakas, G., 31/01/2019, 2018 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, p. 2262-2269 8 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  32. Published

    How best to Design Fuzzy Sets and Systems: In memory of Prof. Lotfi A. Zadeh

    Angelov, P. P., 23/02/2019, Fuzzy Logic and Applications: 12th International Workshop, WILF 2018, Genoa, Italy, September 6–7, 2018, Revised Selected Papers. Fullér, R., Giove, S. & Massulli, F. (eds.). Cham: Springer, p. 236-239 4 p. (Lecture Notes in Artificial Intelligence; vol. 11291).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  33. Published

    Scalable Database Indexing and Fast Image Retrieval Based on Deep Learning and Hierarchically Nested Structure Applied to Remote Sensing and Plant Biology

    Sadeghi-Tehran, P., Angelov, P. P., Virlet, N. & Hawkesford, M., 1/03/2019, In: Journal of Imaging. 5, 3, p. 1-21 21 p., 33.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  34. Published

    A Distance-Type-Insensitive Clustering Approach

    Gu, X., Angelov, P. P. & Zhao, Z., 1/04/2019, In: Applied Soft Computing. 77, p. 622-634 13 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  35. Published

    Self-boosting first-order autonomous learning neuro-fuzzy systems

    Gu, X. & Angelov, P. P., 1/04/2019, In: Applied Soft Computing. 77, p. 118-134 17 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  36. Published

    A Semi-Supervised Deep Rule-Based Approach for Remote Sensing Scene Classication

    Gu, X. & Angelov, P. P., 3/04/2019, The 2019 INNS Big Data and Deep Learning (INNSBDDL 2019) conference. Springer, p. 257-266 10 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  37. Published

    Actively Semi-Supervised Deep Rule-based Classifier Applied to Adverse Driving Scenarios

    Almeida Soares, E., Angelov, P. P., Costa, B. S. J. & Castro, M., 30/09/2019, 2019 International Joint Conference on Neural Networks (IJCNN). IEEE, p. 1-8 8 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  38. Published

    Deep Rule-Based Aerial Scene Classifier using High-Level Ensemble Feature Descriptor

    Gu, X. & Angelov, P. P., 30/09/2019, 2019 International Joint Conference on Neural Networks (IJCNN). IEEE, 7 p. 8851838

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  39. Published

    An Odometer-Free Approach for Unmanned Ground-Based Vehicle Simultaneous Localization and Mapping

    Gu, X., Angelov, P. & Khan, M., 26/10/2019.

    Research output: Contribution to conference - Without ISBN/ISSN › Abstract › peer-review

  40. Published

    Novelty Detection and Learning from Extremely Weak Supervision

    Almeida Soares, E. & Angelov, P., 1/11/2019

    Research output: Other contribution

  41. Published

    A Self-Adaptive Synthetic Over-Sampling Technique for Imbalanced Classification

    Gu, X., Angelov, P. P. & Soares, E. A., 25/11/2019, In: arXiv.

    Research output: Contribution to Journal/Magazine › Journal article

  42. Published

    Local Optimality of Self-Organising Neuro-Fuzzy Inference Systems

    Gu, X., Angelov, P. P. & Rong, H., 30/11/2019, In: Information Sciences. 503, p. 351-380 30 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  43. Published

    Towards Explainable Deep Neural Networks (xDNN)

    Angelov, P. & Soares, E., 5/12/2019, In: arXiv. p. 1-9 9 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  44. Published

    Explainable Density-based Approach for Self-driving Actions Classification

    Almeida Soares, E., Angelov, P., Filev, D., Costa, B., Castro, M. & Nageshrao, S., 16/12/2019, p. 1-6. 6 p.

    Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

  45. Published

    Self-Organising and Self-Learning Model for Soybean Yield Prediction

    Alghamdi, M., Angelov, P., Rufino, M., Gimenez, R. & Almeida Soares, E., 16/12/2019, 2019 6th International Conference on Social Networks Analysis, Management and Security, SNAMS 2019. Alsmirat, M. & Jararweh, Y. (eds.). IEEE, p. 441-446 6 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  46. Published

    ICDS 2019 Preface

    Angelov, P., Boumhidi, J., Hagras, H., Nfaoui, E. H., Oubenaalla, Y., Loqman, C., Mestari, M. & Mousannif, H., 26/12/2019, 2019 Third International Conference on Intelligent Computing in Data Sciences (ICDS). IEEE, 1 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  47. 2020
  48. Published

    On-Line Estimators for Ad-Hoc Task Allocation

    Shafipour Yourdshahi, E., Aparecido do Carmo Alves, M., Soriano Marcolino, L. & Angelov, P., 2020, Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2020. Richland, SC: International Foundation for Autonomous Agents and Multiagent Systems, p. 1999–2001 3 p. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; vol. 2020-May).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  49. Published

    Towards Deep Machine Reasoning: a Prototype-based Deep Neural Network with Decision Tree Inference

    Angelov, P. & Soares, E., 2/02/2020, In: arXiv.

    Research output: Contribution to Journal/Magazine › Journal article

  50. E-pub ahead of print

    Highly interpretable hierarchical deep rule-based classifier

    Gu, X. & Angelov, P., 20/04/2020, (E-pub ahead of print) In: Applied Soft Computing. 92

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  51. Published

    SARS-CoV-2 CT-scan dataset: A large dataset of real patients CT scans for SARS-CoV-2 identification

    Angelov, P. & Almeida Soares, E., 29/04/2020, In: medRxiv. 8 p.

    Research output: Contribution to Journal/Magazine › Journal article

  52. Published

    Decentralised Task Allocation in the Fog: Estimators for Effective Ad-hoc Teamwork

    Shafipour Yourdshahi, E., Do Carmo Alves, M., Soriano Marcolino, L. & Angelov, P., 8/05/2020.

    Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

  53. Published

    On-line Estimators for Ad-hoc Task Allocation: Extended Abstract

    Shafipour Yourdshahi, E., Do Carmo Alves, M., Soriano Marcolino, L. & Angelov, P., 9/05/2020, Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020). ACM, p. 1999–2001 3 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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