Nikolaos Passalis
Nikolaos Passalis
Postdoctoral researcher, Aristotle University of Thessaloniki, Greece
Verified email at csd.auth.gr - Homepage
Title
Cited by
Cited by
Year
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
1322017
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
632017
Learning deep representations with probabilistic knowledge transfer
N Passalis, A Tefas
Proceedings of the European Conference on Computer Vision (ECCV), 268-284, 2018
572018
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
472017
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
392016
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
382019
Neural bag-of-features learning
N Passalis, A Tefas
Pattern Recognition 64, 277-294, 2017
372017
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
332017
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
302018
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
232020
Dimensionality reduction using similarity-induced embeddings
N Passalis, A Tefas
IEEE transactions on neural networks and learning systems 29 (8), 3429-3441, 2017
232017
Learning neural bag-of-features for large-scale image retrieval
N Passalis, A Tefas
IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (10), 2641-2652, 2017
222017
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
212018
Learning bag-of-embedded-words representations for textual information retrieval
N Passalis, A Tefas
Pattern Recognition 81, 254-267, 2018
182018
Concept detection and face pose estimation using lightweight convolutional neural networks for steering drone video shooting
N Passalis, A Tefas
2017 25th European Signal Processing Conference (EUSIPCO), 71-75, 2017
182017
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
162019
Information clustering using manifold-based optimization of the bag-of-features representation
N Passalis, A Tefas
IEEE transactions on cybernetics 48 (1), 52-63, 2016
142016
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
132019
Unsupervised knowledge transfer using similarity embeddings
N Passalis, A Tefas
IEEE transactions on neural networks and learning systems 30 (3), 946-950, 2018
132018
Efficient camera control using 2D visual information for unmanned aerial vehicle-based cinematography
N Passalis, A Tefas, I Pitas
2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018
122018
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Articles 1–20