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Nikolaos Passalis
Nikolaos Passalis
Assistant Professor, Department of Chemical Engineering, Aristotle University of Thessaloniki
Bestätigte E-Mail-Adresse bei cheng.auth.gr - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Learning deep representations with probabilistic knowledge transfer
N Passalis, A Tefas
Proceedings of the European Conference on Computer Vision (ECCV), 268-284, 2018
5622018
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
4762017
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
2462019
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
1972017
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
1852019
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
1662020
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
1492020
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
1222020
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
1012020
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
932019
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
932017
Noise-resilient and high-speed deep learning with coherent silicon photonics
G Mourgias-Alexandris, M Moralis-Pegios, A Tsakyridis, S Simos, ...
Nature communications 13 (1), 5572, 2022
842022
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
782019
Price trailing for financial trading using deep reinforcement learning
A Tsantekidis, N Passalis, AS Toufa, K Saitas-Zarkias, S Chairistanidis, ...
IEEE Transactions on neural networks and learning systems 32 (7), 2837-2846, 2020
702020
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
702018
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
662019
First machine learning gravitational-wave search mock data challenge
MB Schäfer, O Zelenka, AH Nitz, H Wang, S Wu, ZK Guo, Z Cao, Z Ren, ...
Physical Review D 107 (2), 023021, 2023
582023
Neuromorphic silicon photonics and hardware-aware deep learning for high-speed inference
M Moralis-Pegios, G Mourgias-Alexandris, A Tsakyridis, G Giamougiannis, ...
Journal of Lightwave Technology 40 (10), 3243-3254, 2022
582022
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
582016
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
562018
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