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Nikolaos Passalis
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Forecasting stock prices from the limit order book using convolutional neural networks
A Tsantekidis, N Passalis, A Tefas, J Kanniainen, M Gabbouj, A Iosifidis
19th IEEE Conference on Business Informatics (CBI) 1, 7-12, 2017
2582017
Learning deep representations with probabilistic knowledge transfer
N Passalis, A Tefas
Proceedings of the European Conference on Computer Vision (ECCV), 268-284, 2018
1852018
Using deep learning to detect price change indications in financial markets
A Tsantekidis, N Passalis, A Tefas, J Kanniainen, M Gabbouj, A Iosifidis
2017 25th European Signal Processing Conference (EUSIPCO), 2511-2515, 2017
1162017
An all-optical neuron with sigmoid activation function
G Mourgias-Alexandris, A Tsakyridis, N Passalis, A Tefas, K Vyrsokinos, ...
Optics express 27 (7), 9620-9630, 2019
982019
Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks
N Passalis, A Tefas
The IEEE International Conference on Computer Vision (ICCV), 5755-5763, 2017
742017
Using deep learning for price prediction by exploiting stationary limit order book features
A Tsantekidis, N Passalis, A Tefas, J Kanniainen, M Gabbouj, A Iosifidis
Applied Soft Computing 93, 106401, 2020
572020
Femtojoule per MAC neuromorphic photonics: An energy and technology roadmap
AR Totović, G Dabos, N Passalis, A Tefas, N Pleros
IEEE Journal of selected topics in Quantum Electronics 26 (5), 1-15, 2020
572020
Heterogeneous knowledge distillation using information flow modeling
N Passalis, M Tzelepi, A Tefas
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
552020
Training lightweight deep convolutional neural networks using bag-of-features pooling
N Passalis, A Tefas
IEEE transactions on neural networks and learning systems 30 (6), 1705-1715, 2018
512018
Deep adaptive input normalization for time series forecasting
N Passalis, A Tefas, J Kanniainen, M Gabbouj, A Iosifidis
IEEE transactions on neural networks and learning systems 31 (9), 3760-3765, 2019
502019
Entropy optimized feature-based bag-of-words representation for information retrieval
N Passalis, A Tefas
IEEE Transactions on Knowledge and Data Engineering 28 (7), 1664-1677, 2016
482016
Neural bag-of-features learning
N Passalis, A Tefas
Pattern Recognition 64, 277-294, 2017
472017
Neuromorphic photonics with coherent linear neurons using dual-IQ modulation cells
G Mourgias-Alexandris, A Totović, A Tsakyridis, N Passalis, K Vyrsokinos, ...
Journal of Lightwave Technology 38 (4), 811-819, 2019
422019
Time-series classification using neural bag-of-features
N Passalis, A Tsantekidis, A Tefas, J Kanniainen, M Gabbouj, A Iosifidis
2017 25th European Signal Processing Conference (EUSIPCO), 301-305, 2017
392017
Temporal bag-of-features learning for predicting mid price movements using high frequency limit order book data
N Passalis, A Tefas, J Kanniainen, M Gabbouj, A Iosifidis
IEEE Transactions on Emerging Topics in Computational Intelligence 4 (6 …, 2018
342018
Deep reinforcement learning for financial trading using price trailing
KS Zarkias, N Passalis, A Tsantekidis, A Tefas
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
322019
Dimensionality reduction using similarity-induced embeddings
N Passalis, A Tefas
IEEE transactions on neural networks and learning systems 29 (8), 3429-3441, 2017
312017
Probabilistic knowledge transfer for lightweight deep representation learning
N Passalis, M Tzelepi, A Tefas
IEEE Transactions on Neural Networks and Learning Systems 32 (5), 2030-2039, 2020
302020
Machine learning for forecasting mid-price movements using limit order book data
P Nousi, A Tsantekidis, N Passalis, A Ntakaris, J Kanniainen, A Tefas, ...
Ieee Access 7, 64722-64736, 2019
302019
Learning bag-of-embedded-words representations for textual information retrieval
N Passalis, A Tefas
Pattern Recognition 81, 254-267, 2018
282018
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