Nikolaos Passalis

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Anastasios TefasProfessor, Department of Informatics, Aristotle University of ThessalonikiVerified email at csd.auth.gr
Nikos PlerosProfessor, Aristotle University of ThessalonikiVerified email at csd.auth.gr
Moncef GabboujProfessor, Tampere UniversityVerified email at tuni.fi
George Mourgias-AlexandrisSenior AI Engineer, IncelligentVerified email at incelligent.net
Manos KirtasPhD Candidate, Aristotle University of ThessalonikiVerified email at csd.auth.gr
Alexandros IosifidisProfessor, Aarhus UniversityVerified email at ece.au.dk
Apostolos TsakyridisPostdoctoral researcher, Aristotle University of Thessaloniki, GreeceVerified email at csd.auth.gr
Miltiadis Moralis-PegiosPost Doc,Aristotle UniversityVerified email at csd.auth.gr
Avraam TsantekidisPhD Candidate, Aristotle University of ThessalonikiVerified email at csd.auth.gr
Angelina TotovićPhotonics Engineer, Celestial AIVerified email at celestial.ai
George DabosAristotle University of ThessalonikiVerified email at csd.auth.gr
Juho KanniainenProfessor, Tampere UniversityVerified email at tuni.fi
George GiamougiannisMicrosoft ResearchVerified email at csd.auth.gr
Maria TzelepiPostdoctoral Researcher, ITI/CERTHVerified email at iti.gr
Jenni RaitoharjuAssistant Professor, University of JyväskyläVerified email at jyu.fi
Paraskevi NousiPost-doctoral researcher, Aristotle University of ThessalonikiVerified email at csd.auth.gr
Konstantinos VyrsokinosAssociate Professor, School of Physics, Aristotle University of Thessaloniki, GreeceVerified email at auth.gr
F Y GardesProfessor ,University of SouthamptonVerified email at soton.ac.uk
Teerapat RutirawutSuranaree University of TechnologyVerified email at sut.ac.th
Christos PappasPhD Student, Aristotle University of ThessalonikiVerified email at csd.auth.gr

Nikolaos Passalis

Assistant Professor, Department of Chemical Engineering, Aristotle University of Thessaloniki

Verified email at cheng.auth.gr

Deep Learning Computational Intelligence Time series Forecasting Deep Reinforcement Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Learning deep representations with probabilistic knowledge transfer N Passalis, A Tefas Proceedings of the European Conference on Computer Vision (ECCV), 268-284, 2018	520	2018
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	444	2017
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	225	2019
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	193	2017
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	167	2019
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	157	2020
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	134	2020
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	112	2020
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	97	2020
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	90	2017
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	83	2019
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	70	2019
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	69	2018
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	66	2022
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	64	2020
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	63	2019
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	56	2016
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	55	2018
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	54	2022
Neural bag-of-features learning N Passalis, A Tefas Pattern Recognition 64, 277-294, 2017	54	2017

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