Artificial Intelligence & Information Analysis

2020

  1. N. Passalis, A.Tefas, J. Kanniainen, M. Gabbouj and A.Iosifidis, "Temporal logistic neural Bag-of-Features for financial time series forecasting leveraging limit order book data", Pattern Recognition Letters, pp 183-189, 2020.
  2. F. Laakom, N. Passalis, J. Raitoharju, J. Nikkanen, A.Tefas, A.Iosifidis and M. Gabbouj, "Bag of Color Features for Color Constancy", IEEE Transactions on Image Process, pp 7722-7734, 2020.
  3. A. Tsantekidis, N. Passalis, A.Tefas, J. Kanniainen, M. Gabbouj and A.Iosifidis, "Using Deep Learning for price prediction by exploiting stationary limit order book features", Applied Soft Computing, 2020.
  4. M. Krestenitis, N. Passalis, A.Iosifidis, M. Gabbouj and A.Tefas, "Recurrent Bag-of-Features for Visual Information Analysis", Pattern Recognition, 2020.
  5. N. Passalis, J. Raitoharju, A.Tefas and M. Gabbouj, "Efficient Adaptive Inference for Deep Convolutional Neural Networks using Hierarchical Early Exits", Pattern Recognition, 2020.
  6. N. Passalis, A.Iosifidis, M. Gabbouj and A.Tefas, "Hypersphere-based Weight Imprinting for Few-shot Learning on Embedded Devices", Transactions on Neural Networks and Learning Systems, pp 1-6, 2020.

2019

  1. N. Passalis, A.Iosifidis, M. Gabbouj and A.Tefas, "Variance-preserving deep metric learning for content-based image retrieval", Pattern Recognition Letters, pp. 8-14, 2019.
  2. N. Passalis, A.Tefas, J. Kanniainen, M. Gabbouj and A.Iosifidis, "Deep Adaptive Input Normalization for Time Series Forecasting", IEEE Transactions on Neural Networks and Learning Systems, pp. 1-6, 2019.
  3. P. Nousi, A. Tsantekidis, N. Passalis, A.Tefas, J. Kanniainen, M. Gabbouj and A.Iosifidis, "Machine Learning for Forecasting Mid Price Movement Using Limit Order Book Data", IEEE Access, 2019.

2018

  1. N. Passalis, A.Tefas, J. Kanniainen, M. Gabbouj and A.Iosifidis, "Temporal Bag-of-Features Learning for Predicting Mid Price Movements Using High Frequency Limit Order Book Data", IEEE Transactions on Emerging Topics in Computational Intelligence, 2018.

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