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LIRA - Fundamentals

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  1. 2019
  2. 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/Magazine › Journal article › peer-review

  3. 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

  4. 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/Magazine › Journal article › peer-review

  5. 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/Magazine › Journal article › peer-review

  6. 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

  7. 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/Magazine › Journal article › peer-review

  8. 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

  9. 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/Magazine › Journal article › peer-review

  10. 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/Magazine › Journal article › peer-review

  11. 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/Magazine › Journal article › peer-review

  12. 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

  13. 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

  14. 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/Magazine › Journal article › peer-review

  15. 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/Magazine › Journal article › peer-review

  16. 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/Magazine › Journal article › peer-review

  17. 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/Magazine › Journal article › peer-review

  18. 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/Magazine › Journal article › peer-review

  19. 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/Magazine › Journal article › peer-review

  20. 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

  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/Magazine › Journal article › peer-review

  22. 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

  23. 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

  24. 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

  25. 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

  26. 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

  27. 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

  28. 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

  29. 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

  30. 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

  31. 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

  32. 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

  33. 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

  34. 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

  35. 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

  36. 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

  37. Published

    Fair-by-design explainable models for prediction of recidivism

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

    Research output: Other contribution

  38. 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

  39. 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

  40. 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

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