Home > Research > LIRA - Society and Human Behaviour > Publications & Outputs
View graph of relations
  1. Published

    <i>Data Science in Science:</i> Special Issue on Data Science in Modern Finance

    Getmansky Sherman, M., Tsay, R. S., Chen, R., Pelger, M., Basu, S., Kowal, D. R., Killick, R., Mankad, S., Wilms, I., Safikhani, A., McBride, L. & Matteson, D. S., 31/12/2022, In: Data Science in Science. 1, 1, p. 3-4 2 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  2. Published

    ‘They took our jobs!’: AI, robots and the future jobs market

    Ryder, M., 11/09/2017

    Research output: Exhibits, objects and web-based outputsBlog

  3. Published

    “Don't let the robots walk our dogs, but it's ok for them to do our homework”: children's perceptions, fears, and hopes in social robots

    Rubegni, E., Malinverni, L. & Yip, J., 27/06/2022, Proceedings of Interaction Design and Children, IDC 2022. New York: ACM, p. 352-361 10 p. (Proceedings of Interaction Design and Children, IDC 2022).

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

  4. Published

    “The girl who wants to fly”: Exploring the role of digital technology in enhancing dialogic reading

    Rubegni, E., Dore, R., Landoni, M. & Kan, L., 31/12/2021, In: International Journal of Child-Computer Interaction. 30, 11 p., 100239.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  5. Published

    A Bayesian binary algorithm for root mean squared-based acoustic signal segmentation

    Hubert, P., Killick, R., Chung, A. & Padovese, L., 27/09/2019, In: Journal of the Acoustical Society of America. 146, 9 p., 1799.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  6. Published

    A Comparison of post-saccadic oscillations in European-Born and China-Born British University Undergraduates

    Mardanbegi, D., Wilcockson, T., Killick, R. C., Xia, B., Gellersen, H.-W. G., Sawyer, P. & Crawford, T. J., 25/02/2020, In: PLoS ONE. 15, 2, 14 p., e0229177.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  7. Published

    A Comparison of Single and Multiple Changepoint Techniques for Time Series Data

    Shi, X., Gallagher, C., Lund, R. & Killick, R., 30/06/2022, In: Computational Statistics and Data Analysis. 170, 19 p., 107433.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  8. 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

  9. Published

    A large multiclass dataset of CT scans for COVID-19 identification

    Almeida Soares, E., Angelov, P., Biaso, S., Froes, M. H. & Abe, D. K., 1/04/2024, In: Evolving Systems. 15, 1, p. 635–640 5 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  10. Published

    A Meta-interactive Compositional Approach that Fosters Musical Emergence through Ludic Expressivity

    Escarce Junior, M., Rossmann Martins, G., Soriano Marcolino, L. & Rubegni, E., 30/09/2021, In: ACM - PACMHCI CHI PLAY. 5, CHI PLAY, p. 1-32 32 p., 262.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  11. Published

    A multistream deep rule-based ensemble system for aerial image scene classification

    Gu, X. & Angelov, P. P., 29/06/2022, Deep Learning, Intelligent Control and Evolutionary Computation. Angelov, P. (ed.). World Scientific Publishing Co., Vol. 2. p. 661-695 35 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

  12. Published

    A nonparametric approach to detecting changes in variance in locally stationary time series

    Chapman, J.-L., Eckley, I. & Killick, R., 1/02/2020, In: Environmetrics. 31, 1, 12 p., e2576.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  13. Published

    A Novel Multiple Feature-based Engine Knock Detection System using Sparse Bayesian Extreme Learning Machine

    Yang, Z. X., Rong, H.-J., Wong, P. K., Angelov, P., Vong, C. M., Chiu, C. W. & Yang, Z.-X., 31/03/2022, In: Cognitive Computation. 14, 2, p. 828-851 24 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  14. Published

    A Novel Self-Organizing PID Approach for Controlling Mobile Robot Locomotion

    Gu, X., Khan, M., Angelov, P., Tiwary, B., Shafipour Yourdshahi, E. & Yang, Z., 26/08/2020, 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, p. 1-10 10 p.

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

  15. Published

    A reply to touring the carbon ruins: towards an ethics of speculative decarbonisation by Paul Raven and Johannes Stripple

    Jacobs, N., 1/02/2021, In: Global Discourse. 11, 1-2, p. 241-244 4 p.

    Research output: Contribution to Journal/MagazineJournal article

  16. 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/MagazineJournal article

  17. Published

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

    Gu, X., Angelov, P. & Almeida Soares, E., 1/06/2020, In: International Journal of Intelligent Systems. 35, 6, p. 923-943 21 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  18. Published

    A Self-Training Hierarchical Prototype-based Ensemble Framework for Remote Sensing Scene Classification

    Gu, X., Zhang, C., Shen, Q., Han, J., Angelov, P. & Atkinson, P., 1/04/2022, In: Information Fusion. 80, p. 179-204 26 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  19. Published

    A Semi-Supervised Deep Rule-Based Approach for Complex Satellite Sensor Image Analysis

    Gu, X., Angelov, P., Zhang, C. & Atkinson, P., 31/05/2022, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 44, 5, p. 2281-2292 12 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  20. 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

  21. Published

    A systematic survey on embodied cognition: 11 years of research in child–computer interaction

    Ale, M., Sturdee, M. & Rubegni, E., 30/09/2022, In: International Journal of Child-Computer Interaction. 33, 17 p., 100478.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  22. Published

    Abnormalities of saccadic eye movements in dementia due to Alzheimer's disease and mild cognitive impairment

    Wilcockson, T., Mardanbegi, D., Xia, B., Taylor, S., Sawyer, P., Gellersen, H., Leroi, I., Killick, R. & Crawford, T., 15/08/2019, In: Aging. 11, 15, p. 5389-5398 10 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  23. 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/ISSNConference contribution/Paperpeer-review

  24. Published

    Advancements on Child–Computer Interaction research: Contributions from IDC 2018

    Giannakos, M., Horn, M. S. & Rubegni, E., 1/06/2020, In: International Journal of Child-Computer Interaction. 23-24, 3 p., 100170.

    Research output: Contribution to Journal/MagazineEditorialpeer-review

  25. Published

    AI-enabled Microscopic Blood Analysis for Microfluidic COVID-19 Hematology

    Xia, T., Fu, Y. Q., Jin, N., Chazot, P., Angelov, P. & Jiang, R., 21/06/2020, p. 98-102. 5 p.

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

  26. Published

    An assessment of practitioners approaches to forecasting in the presence of changepoints

    Chapman, J.-L. & Killick, R., 1/12/2020, In: Quality and Reliability Engineering International. 36, 8, p. 2676-2687 12 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  27. Published

    An evolving approach to data streams clustering based on typicality and eccentricity data analytics

    Bezerra, C. G., Costa, B. S. J., Guedes, L. A. & Angelov, P. P., 31/05/2020, In: Information Sciences. 518, p. 13-28 16 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  28. Published

    An Explainable approach to Deep Learning from CT-scans for Covid Identification

    Almeida Soares, E., Angelov, P. & Zhang, Z., 2021, In: TechRxiv.

    Research output: Contribution to Journal/MagazineJournal article

  29. Published

    An Improved eXplainable Point Cloud Classifier (XPCC)

    Arnold, N., Angelov, P. & Atkinson, P., 1/02/2023, In: IEEE Transactions on Artificial Intelligence. 4, 1, p. 71-80 10 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  30. Published

    An Integrated Socio-Technical Enterprise Modelling: A Scenario of Healthcare System Analysis and Design

    Fayoumi, A. & Williams, R., 30/09/2021, In: Journal of Industrial Information Integration. 23, 21 p., 100221.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  31. Published

    An Interpretable Deep Semantic Segmentation Method for Earth Observation

    Zhang, Z., Angelov, P., Almeida Soares, E., Longepe, N. & Mathieu, P. P., 25/01/2023, 2022 IEEE 11th International Conference on Intelligent Systems (IS). Atanassov, K. T., Doukovska, L., Kacprzyk, J., Krawczak, M., Owsinski, J. W., Sgurev, V., Szmidt, E. & Zadrozny, S. (eds.). IEEE, p. 1-8 8 p. (2022 IEEE 11th International Conference on Intelligent Systems (IS)).

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

  32. Published

    An Interpretable Deep Semantic Segmentation Method for Earth Observation.

    Zhang, Z., Angelov, P., Soares, E., Longépé, N. & Mathieu, P.-P., 23/10/2022, In: arXiv. abs/2210.12820

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  33. 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 Abstractpeer-review

  34. 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

  35. 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

  36. 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

  37. 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

  38. 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

  39. 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

  40. Published

    Artificial intelligence and ethics within the food sector: developing a common language for technology adoption across the supply chain

    Manning, L., Brewer, S., Craigon, P. J., Frey, J., Gutierrez, A., Jacobs, N., Kanza, S., Munday, S., Sacks, J. & Pearson, S., 10/05/2022, In: Trends in Food Science and Technology. 125, p. 33-42 10 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  41. Published

    Artificial Neural Networks and Machine Learning – ICANN 2022: 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings, Part I

    Pimenidis, E. (Editor), Angelov, P. (Editor), Jayne, C. (Editor), Papaleonidas, A. (Editor) & Aydin, M. (Editor), 6/09/2022, Cham: Springer. 761 p. (Lecture Notes in Computer Science; vol. 13529)

    Research output: Book/Report/ProceedingsProceedings

  42. Published

    Artificial Neural Networks and Machine Learning – ICANN 2022: 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings, Part II

    Pimenidis, E. (Editor), Angelov, P., Jayne, C. (Editor), Papaleonidas, A. & Aydin, M., 6/09/2022, Cham: Springer. 813 p. (Lecture Notes in Computer Science ; vol. 13530)

    Research output: Book/Report/ProceedingsProceedings

  43. Published

    Artificial Neural Networks and Machine Learning – ICANN 2022: 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings, Part III

    Pimenidis, E., Angelov, P., Jayne, C., Papaleonidas, A. & Aydin, M., 6/09/2022, Cham: Springer. 813 p. (Lecture Notes in Computer Science; vol. 13531)

    Research output: Book/Report/ProceedingsProceedings

  44. Published

    Artificial Neural Networks and Machine Learning – ICANN 2022: 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings; Part IV

    Pimenidis, E. (Editor), Angelov, P. (Editor), Jayne, C. (Editor), Papaleonidas, A. (Editor) & Aydin, M. (Editor), 6/09/2022, Cham: Springer. 795 p. (Lecture Notes in Computer Science; vol. 13532)

    Research output: Book/Report/ProceedingsProceedings

  45. Published

    Assessing Daily Patterns using Home Activity Sensors and Within Period Changepoint Detection

    Taylor, S., Killick, R., Burr, J. & Rogerson, L., 30/06/2021, In: Journal of the Royal Statistical Society: Series C (Applied Statistics). 70, 3, p. 579-595 17 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  46. Published

    Autocovariance Estimation in the Presence of Changepoints

    Gallagher, C., Killick, R., Lund, R. & Shi, X., 31/12/2022, In: Journal of the Korean Statistical Society. 51, 4, p. 1021-1040 20 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  47. Published

    Automated Person Identification Framework Based on Fingernails and Dorsal Knuckle Patterns

    Alghamdi, M., Angelov, P. & Williams, B., 24/01/2022, 2021 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 8 p.

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

  48. Published

    Automatic Extraction and Labelling of Memorial Objects From 3D Point Clouds

    Arnold, N., Angelov, P., Viney, T. & Atkinson, P., 23/04/2021, In: Journal of Computer Applications in Archaeology. 4, 1, p. 79-93 15 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  49. Published
  50. Published

    Autonomous learning for fuzzy systems: a review

    Gu, X., Han, J., Shen, Q. & Angelov, P. P., 31/08/2023, In: Artificial Intelligence Review. 56, 8, p. 7549-7595 47 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  51. 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

  52. Published

    Autonomous Learning Multiple-Model Zero-Order Classifier for Heart Sound Classification

    Almeida Soares, E., Angelov, P. P. & Gu, X., 1/09/2020, In: Applied Soft Computing. 94, 9 p., 106449.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  53. 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

  54. 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

  55. Published

    Can Chat-GPT coach the business leaders of tomorrow?

    Ryder, M., 27/09/2023

    Research output: Exhibits, objects and web-based outputsBlog

  56. Published

    Cars, guns and inevitable automation

    Ryder, M., 4/04/2018

    Research output: Exhibits, objects and web-based outputsBlog

  57. Published

    Changepoint Detection: An Analysis of the Central England Temperature Series

    Shi, X., Beaulieu, C., Killick, R. & Lund, R., 1/10/2022, In: Journal of Climate. 35, 19, p. 2729-2742 14 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  58. Published

    Characterising the ice sheet surface in North East Greenland using Sentinel-1 SAR data

    Shu, Q., Killick, R., Leeson, A., Nemeth, C., Fettweis, X., Hogg, A. & Leslie, D., 31/12/2023, In: Journal of Glaciology. 69, 278, p. 1834-1845 12 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  59. Published

    Child-display interaction: Exploring avatar-based touchless gestural interfaces

    Rubegni, E., Gentile, V., Malizia, A., Sorce, S. & Kargas, N., 12/06/2019, PerDis '19 Proceedings of the 8th ACM International Symposium on Pervasive Displays. Gentile, V. & Cauchard, J. R. (eds.). New York: Association for Computing Machinery, Inc, 7 p. 23

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

  60. Published

    Child–display interaction: Lessons learned on touchless avatar-based large display interfaces

    Rubegni, E., Gentile, V., Malizia, A., Sorce, S. & Kargas, N., 30/06/2022, In: Personal and Ubiquitous Computing. 26, 3, p. 667-680 14 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  61. Published

    Collaborative comic-based digital storytelling with primary school children

    Rutta, C., Schiavo, G., Zancanaro, M. & Rubegni, E., 21/06/2020, IDC '20: Proceedings of the Interaction Design and Children Conference. New York: ACM, p. 426-437 12 p.

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

  62. Published

    Comic-based Digital Storytelling for Content and Language Integrated Learning

    Rutta, C. B., Schiavo, G., Zancanaro, M. & Rubegni, E., 30/06/2021, In: Educational Media International. 58, 1, p. 21-36 16 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  63. Published

    Comic-based digital storytelling with primary school children

    Rutta, C. B., Schiavo, G., Zancanaro, M. & Rubegni, E., 12/06/2019, IDC '19 Proceedings of the 18th ACM International Conference on Interaction Design and Children. New York: Association for Computing Machinery, Inc, p. 508-513 6 p. (Proceedings of the 18th ACM International Conference on Interaction Design and Children, IDC 2019).

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

  64. Published

    Concept Drift Detection Using Autoencoders in Data Streams Processing

    Jaworski, M., Rutkowski, L. & Angelov, P., 7/10/2020, Artificial Intelligence and Soft Computing: 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings, Part I. Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R. & Zurada, J. M. (eds.). Cham: Springer, p. 124-133 10 p. (Lecture Notes in Computer Science; vol. 12415 ).

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

  65. Published

    Considering long-memory when testing for changepoints in surface temperature: a classification approach based on the time-varying spectrum

    Beaulieu, C., Killick, R. C., Ireland, D. & Norwood, B., 1/02/2020, In: Environmetrics. 31, 1, 14 p., e2568.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  66. Published

    Considering the ethical implications of digital collaboration in the Food Sector

    Jacobs, N., Brewer, S., Craigon, P., Frey, J., Gutierrez, A., Kanza, S., Manning, L., Munday, S., Pearson, S. & Sacks, J., 12/11/2021, In: Patterns. 2, 11, 11 p., 100335.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  67. Published

    Converging Experiences, Converging Audiences: An Analysis of Doctor Who on Twitch

    Jacobs, N. & Booth, P., 1/10/2021, In: Convergence: The International Journal of Research into New Media Technologies. 27, 5, p. 1324-1342 19 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  68. Published

    Corporate Social Responsibility and Sustainability-Led Innovation

    Liu, R. & Chen, S., 17/07/2022. 17 p.

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

  69. Published

    Creating an atlas of design and policy

    Mullagh, L., Jacobs, N., Cooper, R., Costa, A., Kwon, N. & Cavada, M., 21/04/2021.

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

  70. Published

    Creating opportunities for children's critical reflections on AI, robotics and other intelligent technologies

    Charisi, V., Malinverni, L., Schaper, M.-M. & Rubegni, E., 21/06/2020, IDC '20: Proceedings of the 2020 ACM Interaction Design and Children Conference: Extended Abstracts. New York: ACM, p. 89-95 7 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNAbstract

  71. Forthcoming

    Creative Design Methods For IOT Data Ethics In Hybrid Spaces

    Jacobs, N., Kwon, N. & Mullagh, L., 9/05/2022, (Accepted/In press) In: AoIR Selected Papers of Internet Research.

    Research output: Contribution to Journal/MagazineConference articlepeer-review

  72. 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

  73. 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 paperpeer-review

  74. Published

    Deep Learning based Automated Forest Health Diagnosis from Aerial Images

    Chiang, C.-Y., Angelov, P., Barnes, C. & Jiang, R., 28/07/2020, In: IEEE Access. 8, p. 144064 - 144076 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  75. 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/ISSNConference contribution/Paperpeer-review

  76. Published

    Delay in loop ileostomy reversal surgery does not impact upon post-operative clinical outcomes. Complications are associated with an increased loss of microflora in the defunctioned intestine

    Beamish, E. L., Johnson, J., Shih, B., Killick, R., Dondelinger, F., McGoran, C., Brewster-Craig, C., Davies, A., Bhowmick, A. & Rigby, R. J., 31/12/2023, In: Gut Microbes. 15, 1, 2199659.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  77. Published

    Delve into Neural Activations: Towards Understanding Dying Neurons

    Jiang, Z., Wang, Y., Li, C.-T., Angelov, P. & Jiang, R., 1/08/2023, In: IEEE Transactions on Artificial Intelligence. 4, 4, p. 959-971 13 p., 4.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  78. Published

    Design for change with and for children: how to design Digital StoryTelling tool to raise stereotypes awareness.

    Rubegni, E., Landoni, M. & Jaccheri, L., 6/07/2020.

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

  79. Published

    Design strategies for future governance in emergencies: A case study

    Mullagh, L., Jacobs, N., Cooper, R. & Kwon, N., 21/04/2021.

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

  80. Published

    Design Thinking and Business Model Innovation

    Liu, R. & Mannhardt, L., 9/06/2019, p. 1-30. 30 p.

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

  81. Published

    Designing a Digital StoryTelling platform to detect gender stereotypes

    Kasibante, R., Rubegni, E. & Jaccheri, L., 27/06/2022, Proceedings of Interaction Design and Children, IDC 2022. New York: ACM, p. 611-616 6 p. (Proceedings of Interaction Design and Children, IDC 2022).

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

  82. Published

    Designing data trusts as knowledge commons

    Sacks, J. & Jacobs, N., 10/06/2021.

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

  83. Published

    Designing for a pandemic: towards recovery and resilience

    Mullagh, L., Cooper, R., Thomas, L., Sacks, J., Jacobs, N. & Lloyd Jones, P., 22/03/2021, In: Strategic Design Research Journal. 14, 1, p. 161-174 14 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  84. Published

    Designing Physical and Virtual Speculative Walkshops to Explore Public Space Internet of Things

    Kwon, N., Jacobs, N., Mullagh, L. & Bourne, J., 27/09/2023, Perspectives on Design and Digital Communication IV : Research, Innovations and Best Practices. Martins, N., Brandão, D. & Fernandes-Marcos, A. (eds.). Cham: Springer, p. 135-156 22 p. (Springer Series in Design and Innovation; vol. 33).

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

  85. Published

    Designing Physical and Virtual Walkshop Methods for Speculative Internet of Things Research

    Kwon, N., Jacobs, N., Mullagh, L., Cavada, M., Markovic, M., Wainwright, B., Chekansky, K. & Cooper, R., 5/11/2022, Advances in Design and Digital Communication III: Proceedings of the 6th International Conference on Design and Digital Communication, Digicom 2022, November 3–5, 2022, Barcelos, Portugal. Martins, N. & Brandão, D. (eds.). Cham: Springer, p. 392-405 14 p. (Springer Series in Design and Innovation; vol. 27).

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

  86. Published

    Detecting and Learning from Unknown by Extremely Weak Supervision: eXploratory Classifier (xClass)

    Angelov, P. & Almeida Soares, E., 30/11/2021, In: Neural Computing and Applications. 33, 22, p. 15145-15157 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  87. Published

    Detecting changes in covariance via random matrix theory

    Ryan, S. & Killick, R., 2023, In: Technometrics. p. 1-12 12 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  88. Published

    Detecting changes in mean in the presence of time-varying autocovariance

    McGonigle, E., Killick, R. & Nunes, M., 15/01/2021, In: Stat. 10, 1, 14 p., e351.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  89. Published

    Detecting changes in mixed-sampling rate data sequences

    Lowther, A., Killick, R. & Eckley, I., 28/02/2023, In: Environmetrics. 34, 1, 15 p., e2762.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  90. Published

    Detecting gender stereotypes in children digital storytelling

    Rubegni, E., Landoni, M., De Angeli, A. & Jaccheri, L., 12/06/2019, IDC '19 Proceedings of the 18th ACM International Conference on Interaction Design and Children. New York: ACM, p. 386-393 8 p.

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

  91. Published

    Domain Generalization and Feature Fusion for Cross-domain Imperceptible Adversarial Attack Detection

    Li, Y., Angelov, P. & Suri, N., 2/08/2023, 2023 International Joint Conference on Neural Networks (IJCNN). Gold Coast, Australia: IEEE, 8 p.

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

  92. Published

    Editorial special issue on assumptions about the concept of childhood and the roles of children in design

    Bekker, T., Barendregt, W., Skovbjerg, H. M., Landoni, M., Nicol, E. & Rubegni, E., 1/03/2019, In: International Journal of Child-Computer Interaction. 19, p. 89-92 4 p.

    Research output: Contribution to Journal/MagazineEditorialpeer-review

  93. Published

    Editorial: Special issue on recent progress in autonomous machine learning

    Pratama, M., Lughofer, E. & Angelov, P. P., 31/05/2022, In: Information Sciences. 595, p. 195-196 2 p.

    Research output: Contribution to Journal/MagazineEditorialpeer-review

  94. Published

    Election Hacking, the Rule of Sovereignty, and Deductive Reasoning in Customary International Law

    Wheatley, S., 24/04/2023, In: Leiden Journal of International Law. 36, 3, p. 675-698 24 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  95. 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

  96. 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

  97. 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

  98. Published

    Empowering Children's Critical Reflections on AI, Robotics and Other Intelligent Technologies

    Charisi, V., Malinverni, L., Rubegni, E. & Schaper, M.-M., 25/10/2020, NordiCHI '20: Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society. New York: ACM, p. 1-4 4 p. 128

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNAbstract

  99. Published

    Energy in Schools: Empowering Children to Deliver Behavioural Change for Sustainability

    Underwood, L., Smith, K., Rubegni, E. & Finney, J., 27/06/2022, Proceedings of Interaction Design and Children, IDC 2022. New York: ACM, p. 308-314 7 p. (Proceedings of Interaction Design and Children, IDC 2022).

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

  100. Published

    Ensemble-Based Bounding Box Regression for Enhanced Knuckle Localization

    Vyas, R., Williams, B. M., Rahmani, H., Boswell-Challand, R., Jiang, Z., Angelov, P. & Black, S., 17/02/2022, In: Sensors. 22, 4, 18 p., 1569.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

Previous 1 2 3 Next

Back to top