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  1. 2019
  2. 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/ISSNChapter (peer-reviewed)peer-review

  3. 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/ISSNChapter (peer-reviewed)peer-review

  4. 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/ISSNChapter (peer-reviewed)peer-review

  5. 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/ISSNChapter (peer-reviewed)peer-review

  6. 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/ISSNChapter (peer-reviewed)peer-review

  7. 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/ISSNChapter (peer-reviewed)peer-review

  8. 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/ISSNChapter (peer-reviewed)peer-review

  9. 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/ISSNChapter (peer-reviewed)peer-review

  10. 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/ISSNChapter (peer-reviewed)peer-review

  11. 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/ISSNChapter (peer-reviewed)peer-review

  12. 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/ProceedingsBook

  13. 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/ISSNChapter (peer-reviewed)peer-review

  14. 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/ISSNChapter (peer-reviewed)peer-review

  15. Published
  16. Published

    In Situ Mechanical Analysis of Sludge in Hazardous Environments

    Fried, T., Cheneler, D., Monk, S. D., Taylor, C. J. & Dodds, J., 2019.

    Research output: Contribution to conference - Without ISBN/ISSN Poster

  17. 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/ISSNChapter (peer-reviewed)peer-review

  18. 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/ISSNChapter (peer-reviewed)peer-review

  19. 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/ISSNChapter (peer-reviewed)peer-review

  20. 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/ISSNOther chapter contribution

  21. Published

    Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile

    MacCormick, I. J. C., Williams, B. M., Zheng, Y., Li, K., Al-Bander, B., Czanner, S., Cheeseman, R., Willoughby, C. E., Brown, E. N., Spaeth, G. L. & Czanner, G., 10/01/2019, In: PLoS ONE. 14, 1, 20 p., e0209409.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  22. 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/ISSNConference contribution/Paperpeer-review

  23. Published

    Cloud Brokerage: A Systematic Survey

    Elhabbash, A., Samreen, F., Hadley, J. & Elkhatib, Y., 02/2019, In: ACM Computing Surveys. 51, 6, p. 1-28 28 p., 119.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  24. Published

    Full year crop monitoring and separability assessment with fully-polarimetric L-band UAVSAR: A case study in the Sacramento Valley, California

    Li, H., Zhang, C., Zhang, S. & Atkinson, P. M., 02/2019, In: International Journal of Applied Earth Observation and Geoinformation. 74, p. 45-56 12 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  25. Published

    Joint Deep Learning for land cover and land use classification

    Zhang, C., Sargent, I., Pan, X., Li, H., Gardiner, A., Hare, J. & Atkinson, P. M., 02/2019, In: Remote Sensing of Environment. 221, p. 173-187 15 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  26. Published

    Strategy Selection versus Flexibility: Using Eye-trackers to Investigate Strategy Use during Mental Rotation

    Nazareth, A., Killick, R. C., Dick, A. S. & Pruden, S. M., 1/02/2019, In: Journal of Experimental Psychology: Learning, Memory, and Cognition. 45, 2, p. 232-245 14 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  27. Published

    Dramatic Loss of Agricultural Land Due to Urban Expansion Threatens Food Security in the Nile Delta, Egypt.

    Radwan, T. M., Blackburn, G. A., Whyatt, J. D. & Atkinson, P. M., 8/02/2019, In: Remote Sensing. 11, 3, 20 p., 332.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  28. Published

    Gamma-ray modulation properties of tungsten coded apertures for a novel mixed-field imaging system

    Cieslak, M., Akurugoda Gamage, K., Glover, R. & Taylor, C. J., 8/02/2019, In: Journal of Instrumentation. 14, 15 p., P02007.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  29. 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/ISSNConference contribution/Paperpeer-review

  30. Published

    A review of ground-based robotic systems for the characterization of nuclear environments

    Tsitsimpelis, I., Taylor, C. J., Lennox, B. & Joyce, M. J., 1/03/2019, In: Progress in Nuclear Energy. 111, p. 109-124 16 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  31. Published

    Bayesian Dynamic Linear Models for Estimation of Phenological Events from Remote Sensing Data

    Johnson, M., Caragea, P. C., Meiring, W., Jeganathan, C. & Atkinson, P. M., 1/03/2019, In: Journal of Agricultural, Biological, and Environmental Statistics. 24, 1, p. 1-25 25 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  32. Published

    Multisource and multitemporal data fusion in remote sensing: A comprehensive review of the state of the art

    Ghamisi, P., Rasti, B., Yokoya, N., Wang, Q., Hofle, B., Bruzzone, L., Bovolo, F., Chi, M., Anders, K., Gloaguen, R., Atkinson, P. M. & Benediktsson, J. A., 1/03/2019, In: IEEE Geoscience and Remote Sensing Magazine. 7, 1, p. 6-39 34 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-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/MagazineJournal articlepeer-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/MagazineJournal articlepeer-review

  35. Published

    Mapping annual forest cover by fusing PALSAR/PALSAR-2 and MODIS NDVI during 2007–2016

    Zhang, Y., Ling, F., Foody, G. M., Ge, Y., Boyd, D. S., Li, X., Du, Y. & Atkinson, P. M., 1/04/2019, In: Remote Sensing of Environment. 224, p. 74-91 18 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  36. 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/MagazineJournal articlepeer-review

  37. 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/ISSNConference contribution/Paperpeer-review

  38. Published

    Autophagy promotes visceral aging in wild-type C. elegans

    Benedetto, A. & Gems, D., 3/04/2019, In: Autophagy. 15, 4, p. 737-732 2 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  39. Published

    Correction: Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile (PLoS ONE (2019) 14:1 (e0209409) DOI: 10.1371/journal.pone.0209409)

    MacCormick, I. J. C., Williams, B. M., Zheng, Y., Li, K., Al-Bander, B., Czanner, S., Cheeseman, R., Willoughby, C. E., Brown, E. N., Spaeth, G. L. & Czanner, G., 3/04/2019, In: PLoS ONE. 14, 4, 1 p., e0215056.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  40. Published

    Solving urban transit route design problem using selection hyper-heuristics

    Ahmed, L., Mumford, C. & Kheiri, A., 16/04/2019, In: European Journal of Operational Research. 274, 2, p. 545-559 6 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  41. Published

    An iterative coarse-to-fine sub-sampling method for density reduction of terrain point clouds

    Fan, L. & Atkinson, P. M., 19/04/2019, In: Remote Sensing. 11, 8, 11 p., 947.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  42. Published

    An optimisation framework for airline fleet maintenance scheduling and tail assignment

    Torres Sanchez, D., Boyacı, B. & Zografos, K. G., 25/04/2019.

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

  43. Published

    Optimal scheduling for the decommissioning of nuclear sites

    Bold, M., Boyacı, B., Goerigk, M. & Kirkbride, C., 25/04/2019.

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

  44. Published

    Implementing Fast Chargers to One-way Electric Car-sharing Systems

    Bekli, S., Boyacı, B. & Zografos, K. G., 26/04/2019.

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

  45. Published

    Introducing partial customer based vehicle relocation in one-way electric carsharing systems

    Boyacı, B. & Zografos, K. G., 26/04/2019.

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

  46. Published

    Fully Automatic Localisation of the Optic Disc Using YOLO in Colour Fundus Photographs

    Zheng, Y., Zhao, Y., Chen, X., Gao, D., Bridge, J., Zhu, W. & Williams, B., 27/04/2019.

    Research output: Contribution to conference - Without ISBN/ISSN Posterpeer-review

  47. Published

    A Bi-objective Efficiency-Fairness Model for Scheduling Slots at Congested Airports

    Zografos, K. G. & Jiang, Y., 1/05/2019, In: Transportation Research Part C: Emerging Technologies. 102, p. 336-350 15 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  48. Published

    Sub-surface imaging of soiled cotton fabric using full-field optical coherence tomography

    Zhang, Z., Ikpatt, U., Lawman, S., Williams, B. M., Zheng, Y., Lin, H. & Shen, Y., 13/05/2019, In: Optics Express. 27, 10, p. 13951-13964 14 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  49. Published

    Predictive dynamic relocations in carsharing systems implementing complete journey reservations

    Repoux, M., Kaspi, M., Boyacı, B. & Geroliminis, N., 15/05/2019.

    Research output: Contribution to conference - Without ISBN/ISSN Abstractpeer-review

  50. Published

    Learning the features of diabetic retinopathy with convolutional neural networks

    Pratt, H., Williams, B. M., Broadbent, D., Harding, S. P., Coenen, F. & Zheng, Y., 16/05/2019, In: EUROPEAN JOURNAL OF OPHTHALMOLOGY. 29, 3, p. NP15-NP16 2 p.

    Research output: Contribution to Journal/MagazineMeeting abstractpeer-review

  51. Published

    Persuasive Health: Back to the Future

    Wilson, E. D., Helal, A., Bull, C. N. & Honary, M., 20/05/2019, Pervasive Computing Technologies for Healthcare (PervasiveHealth) Conference, 2019: IMPACT Workshop. ACM, p. 426-434 9 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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