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Publications & Outputs

  1. START: Straggler Prediction and Mitigation for Cloud Computing Environments using Encoder LSTM Networks

    Tuli, S., Singh Gill, S., Garraghan, P., Buyya, R., Casale, G. & Jennings, N. R., 31/01/2023, In: IEEE Transactions on Services Computing. 16, 1, p. 615-627 13 p.

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

  2. Automatic detection of glaucoma via fundus imaging and artificial intelligence: A review

    Coan, L. J., Williams, B. M., Krishna Adithya, V., Upadhyaya, S., Alkafri, A., Czanner, S., Venkatesh, R., Willoughby, C. E., Kavitha, S. & Czanner, G., 1/01/2023, In: Survey of Ophthalmology. 68, 1, p. 17-41 25 p.

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

  3. MFRFNN: Multi-Functional Recurrent Fuzzy Neural Network for Chaotic Time Series Prediction

    Nasiri, H. & Ebadzadeh, M. M., 1/10/2022, In: Neurocomputing. 507, p. 292-310 19 p.

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

  4. Forecasting: theory and practice

    Petropoulos, F., Apiletti, D., Assimakopoulos, V., Babai, M. Z., Barrow, D. K., Ben Taieb, S., Bergmeir, C., Bessa, R. J., Bijak, J., Boylan, J. E., Browell, J., Carnevale, C., Castle, J. L., Cirillo, P., Clements, M. P., Cordeiro, C., Cyrino Oliveira, F. L., De Baets, S., Dokumentov, A. & Ellison, J. & 60 others, Fiszeder, P., Franses, P. H., Frazier, D. T., Gilliland, M., Gönül, M. S., Goodwin, P., Grossi, L., Grushka-Cockayne, Y., Guidolin, M., Guidolin, M., Gunter, U., Guo, X., Guseo, R., Harvey, N., Hendry, D. F., Hollyman, R., Januschowski, T., Jeon, J., Jose, V. R. R., Kang, Y., Koehler, A. B., Kolassa, S., Kourentzes, N., Leva, S., Li, F., Litsiou, K., Makridakis, S., Martin, G. M., Martinez, A. B., Meeran, S., Modis, T., Nikolopoulos, K., Önkal, D., Paccagnini, A., Panagiotelis, A., Panapakidis, I., Pavía, J. M., Pedio, M., Pedregal, D. J., Pinson, P., Ramos, P., Rapach, D. E., Reade, J. J., Rostami-Tabar, B., Rubaszek, M., Sermpinis, G., Shang, H. L., Spiliotis, E., Syntetos, A. A., Talagala, P. D., Talagala, T. S., Tashman, L., Thomakos, D., Thorarinsdottir, T., Todini, E., Trapero Arenas, J. R., Wang, X., Winkler, R. L., Yusupova, A. & Ziel, F., 1/07/2022, In: International Journal of Forecasting. 38, 3, p. 705-871 167 p.

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

  5. Application of machine learning methods on dynamic strength analysis for additive manufactured polypropylene-based composites

    Cai, R., Wang, K., Wen, W., Peng, Y., Baniassadi, M. & Ahzi, S., 30/06/2022, In: Polymer Testing. 110, 12 p., 107580.

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

  6. Implementing the PREP2 Algorithm to Predict Upper Limb Recovery Potential after Stroke in Clinical Practice: A Qualitative Study

    Connell, L. A., Chesworth, B., Ackerley, S., Smith, M. C. & Stinear, C. M., 1/05/2021, In: Physical Therapy. 101, 5, pzab040.

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

  7. Being a participant matters: Event-related potentials show that markedness modulates person agreement in Spanish

    Bañón, J. A. & Rothman, J., 2019, In: Frontiers in Psychology. 10, MAR, p. 746 746.

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

  8. Does trauma event type matter in the assessment of traumatic load?

    Conrad, D., Wilker, S., Pfeiffer, A., Lingenfelder, B., Ebalu, T., Lanzinger, H., Elbert, T., Kolassa, I. T. & Kolassa, S., 30/09/2017, In: European journal of psychotraumatology. 8, 1, 1344079.

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

  9. A criterion for the formation of high entropy alloys based on lattice distortion

    Toda-Caraballo, I. & Rivera-Díaz-Del-Castillo, P. E. J., 1/04/2016, In: Intermetallics. 71, p. 76-87 12 p.

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

  10. On binary and categorical time series models with feedback

    Moysiadis, T. & Fokianos, K., 10/2014, In: Journal of Multivariate Analysis. 131, p. 209-228 20 p.

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

  11. On weak dependence conditions for Poisson autoregressions

    Doukhan, P., Fokianos, K. & Tjøstheim, D., 05/2012, In: Statistics and Probability Letters. 82, 5, p. 942-948 7 p.

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

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