Alexandros Iosifidis
Alexandros Iosifidis
Associate Professor, Department of Electrical and Computer Engineering, Aarhus University
Verified email at ece.au.dk - Homepage
Title
Cited by
Cited by
Year
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
1552012
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
1332017
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
1102013
On the kernel extreme learning machine classifier
A Iosifidis, A Tefas, I Pitas
Pattern Recognition Letters 54, 11-17, 2015
1012015
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
862012
Graph embedded extreme learning machine
A Iosifidis, A Tefas, I Pitas
IEEE transactions on cybernetics 46 (1), 311-324, 2016
852016
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
772012
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
722018
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
702018
Discriminant bag of words based representation for human action recognition
A Iosifidis, A Tefas, I Pitas
Pattern Recognition Letters 49, 185-192, 2014
692014
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
642017
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
622013
Regularized extreme learning machine for multi-view semi-supervised action recognition
A Iosifidis, A Tefas, I Pitas
Neurocomputing 145, 250-262, 2014
582014
On the optimal class representation in linear discriminant analysis
A Iosifidis, A Tefas, I Pitas
IEEE transactions on neural networks and learning systems 24 (9), 1491-1497, 2013
502013
Dynamic action recognition based on dynemes and extreme learning machine
A Iosifidis, A Tefas, I Pitas
Pattern Recognition Letters 34 (15), 1890-1898, 2013
492013
DropELM: Fast neural network regularization with Dropout and DropConnect
A Iosifidis, A Tefas, I Pitas
Neurocomputing 162, 57-66, 2015
402015
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
392018
Class-specific reference discriminant analysis with application in human behavior analysis
A Iosifidis, A Tefas, I Pitas
IEEE Transactions on Human-Machine Systems 45 (3), 315-326, 2015
372015
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
Approximate kernel extreme learning machine for large scale data classification
A Iosifidis, A Tefas, I Pitas
Neurocomputing 219, 210-220, 2017
332017
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