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Publications & Outputs

  1. ST-CNN: Spatial-Temporal Convolutional Neural Network for crowd counting in videos

    Miao, Y., Han, J., Gao, Y. & Zhang, B., 1/07/2019, In : Pattern Recognition Letters. 125, p. 113-118 6 p.

    Research output: Contribution to journalJournal article

  2. Forecasting occupancy rate with Bayesian compression methods

    Assaf, A. G. & Tsionas, M. G., 31/03/2019, In : Annals of Tourism Research. 75, p. 439-449 11 p.

    Research output: Contribution to journalJournal article

  3. Auto-balanced filter pruning for efficient convolutional neural networks

    Ding, X., Ding, G., Han, J. & Tang, S., 27/04/2018, THE THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE THE THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE THE EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE.. AAAI, p. 6797-6804 8 p. (THE THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE THE THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE THE EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE.).

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

  4. Neglected chaos in international stock markets: Bayesian analysis of the joint return-volatility dynamical system

    Tsionas, M. & Michaelides, P. G., 15/09/2017, In : Physica A: Statistical Mechanics and its Applications. 482, p. 95-107 13 p.

    Research output: Contribution to journalJournal article

  5. A comparison of AdaBoost algorithms for time series forecast combination

    Barrow, D. K. & Crone, S. F. W. M., 1/10/2016, In : International Journal of Forecasting. 32, 4, p. 1103-1119 17 p.

    Research output: Contribution to journalJournal article

  6. A new multilayer feedforward network based on trimmed mean neuron model

    Yolcu, U., Bas, E., Egrioglu, E. & Aladag, C. H., 1/01/2015, In : Neural Network World. 25, 6, p. 587-602 16 p.

    Research output: Contribution to journalJournal article

  7. A distributional account of children’s acquisition of the locative construction: corpus and computational evidence

    Twomey, K. & Chang, F., 2013.

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

  8. Impact of Information Exchange on Supplier Forecasting Performance

    Trapero Arenas, J., Kourentzes, N. & Fildes, R., 12/2012, In : Omega: The International Journal of Management Science. 40, 6, p. 738-747 10 p.

    Research output: Contribution to journalJournal article

  9. Validation and forecasting accuracy in models of climate change

    Fildes, R. & Kourentzes, N., 10/2011, In : International Journal of Forecasting. 27, 4, p. 968-995 28 p.

    Research output: Contribution to journalJournal article

  10. An uniformly stable backpropagation algorithm to train a feedforward neural network

    Rubio, J. D. J., Angelov, P. & García, E., 03/2011, In : IEEE Transactions on Neural Networks. 22, 3, p. 356-366 11 p.

    Research output: Contribution to journalJournal article

  11. Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations

    Aladag, C. H., Basaran, M. A., Egrioglu, E., Yolcu, U. & Uslu, V. R., 1/01/2009, In : Expert Systems with Applications. 36, 3 PART 1, p. 4228-4231 4 p.

    Research output: Contribution to journalJournal article

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