Forecasting stock prices from the limit order book using convolutional neural networks A Tsantekidis, N Passalis, A Tefas, J Kanniainen, M Gabbouj, A Iosifidis Business Informatics (CBI), 2017 IEEE 19th Conference on 1, 7-12, 2017 | 303 | 2017 |
Temporal attention-augmented bilinear network for financial time-series data analysis DT Tran, A Iosifidis, J Kanniainen, M Gabbouj IEEE transactions on neural networks and learning systems, 2018 | 175 | 2018 |
Deep learning and computer vision will transform entomology TT Høye, J Ärje, K Bjerge, OLP Hansen, A Iosifidis, F Leese, HMR Mann, ... Proceedings of the National Academy of Sciences 118 (2), e2002545117, 2021 | 154 | 2021 |
View-invariant action recognition based on artificial neural networks A Iosifidis, A Tefas, I Pitas IEEE Transactions on Neural Networks and Learning Systems 23 (3), 412-424, 2012 | 146 | 2012 |
On the kernel extreme learning machine classifier A Iosifidis, A Tefas, I Pitas Pattern Recognition Letters 54, 11-17, 2015 | 143 | 2015 |
Using deep learning to detect price change indications in financial markets A Tsantekidis, N Passalis, A Tefas, J Kanniainen, M Gabbouj, A Iosifidis Signal Processing Conference (EUSIPCO), 2017 25th European, 2511-2515, 2017 | 139 | 2017 |
Minimum class variance extreme learning machine for human action recognition A Iosifidis, A Tefas, I Pitas IEEE Transactions on Circuits and Systems for Video Technology 23 (11), 1968 …, 2013 | 118 | 2013 |
Benchmark dataset for mid‐price forecasting of limit order book data with machine learning methods A Ntakaris, M Magris, J Kanniainen, M Gabbouj, A Iosifidis Journal of Forecasting 37 (8), 852-866, 2018 | 101 | 2018 |
Graph embedded extreme learning machine A Iosifidis, A Tefas, I Pitas IEEE transactions on cybernetics 46 (1), 311-324, 2016 | 100 | 2016 |
Generalized multi-view embedding for visual recognition and cross-modal retrieval G Cao, A Iosifidis, K Chen, M Gabbouj IEEE transactions on cybernetics 48 (9), 2542-2555, 2018 | 99 | 2018 |
Multi-view human movement recognition based on fuzzy distances and linear discriminant analysis A Iosifidis, A Tefas, N Nikolaidis, I Pitas Computer Vision and Image Understanding 116 (3), 347-360, 2012 | 92 | 2012 |
Discriminant bag of words based representation for human action recognition A Iosifidis, A Tefas, I Pitas Pattern Recognition Letters 49, 185-192, 2014 | 85 | 2014 |
Activity-based person identification using fuzzy representation and discriminant learning A Iosifidis, A Tefas, I Pitas IEEE Transactions on Information Forensics and Security 7 (2), 530-542, 2012 | 85 | 2012 |
Multi-view action recognition based on action volumes, fuzzy distances and cluster discriminant analysis A Iosifidis, A Tefas, I Pitas Signal Processing 93 (6), 1445-1457, 2013 | 77 | 2013 |
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 106401, 2020 | 75 | 2020 |
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 | 68 | 2019 |
Regularized extreme learning machine for multi-view semi-supervised action recognition A Iosifidis, A Tefas, I Pitas Neurocomputing 145, 250-262, 2014 | 61 | 2014 |
Species‐level image classification with convolutional neural network enables insect identification from habitus images OLP Hansen, JC Svenning, K Olsen, S Dupont, BH Garner, A Iosifidis, ... Ecology and evolution 10 (2), 737-747, 2020 | 60 | 2020 |
Forecasting jump arrivals in stock prices: new attention-based network architecture using limit order book data Y Mäkinen, J Kanniainen, M Gabbouj, A Iosifidis Quantitative Finance, 1-18, 2019 | 58 | 2019 |
Tensor representation in high-frequency financial data for price change prediction DT Tran, M Magris, J Kanniainen, M Gabbouj, A Iosifidis 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-7, 2017 | 55 | 2017 |