Principal component neural networks: theory and applications KI Diamantaras, SY Kung Adaptive and learning systems for signal processing communications and control, 1996 | 1681 | 1996 |
A comparison of machine learning techniques for customer churn prediction T Vafeiadis, KI Diamantaras, G Sarigiannidis, KC Chatzisavvas Simulation Modelling Practice and Theory 55, 1-9, 2015 | 576 | 2015 |
Sentiment analysis leveraging emotions and word embeddings M Giatsoglou, MG Vozalis, K Diamantaras, A Vakali, G Sarigiannidis, ... Expert Systems with Applications 69, 214-224, 2017 | 453 | 2017 |
ECG pattern recognition and classification using non-linear transformations and neural networks: A review N Maglaveras, T Stamkopoulos, K Diamantaras, C Pappas, M Strintzis International journal of medical informatics 52 (1-3), 191-208, 1998 | 339 | 1998 |
A neural network learning algorithm for adaptive principal component extraction (APEX) SY Kung, KI Diamantaras Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 …, 1990 | 256 | 1990 |
Adaptive principal component extraction (APEX) and applications SY Kung, KI Diamantaras, JS Taur Signal Processing, IEEE Transactions on 42 (5), 1202-1217, 1994 | 238 | 1994 |
ECG analysis using nonlinear PCA neural networks for ischemia detection T Stamkopoulos, K Diamantaras, N Maglaveras, M Strintzis Signal Processing, IEEE Transactions on 46 (11), 3058-3067, 1998 | 231 | 1998 |
Behind the Cues: A benchmarking study for Fake News Detection G Gravanis, A Vakali, K Diamantaras, P Karadais Expert Systems with Applications, 2019 | 222 | 2019 |
Augmented reality and gamification in education: A systematic literature review of research, applications, and empirical studies G Lampropoulos, E Keramopoulos, K Diamantaras, G Evangelidis applied sciences 12 (13), 6809, 2022 | 157 | 2022 |
Enhancing the functionality of augmented reality using deep learning, semantic web and knowledge graphs: A review G Lampropoulos, E Keramopoulos, K Diamantaras Visual Informatics 4 (1), 32-42, 2020 | 126 | 2020 |
Airfare prices prediction using machine learning techniques K Tziridis, T Kalampokas, GA Papakostas, KI Diamantaras 2017 25th European Signal Processing Conference (EUSIPCO), 1036-1039, 2017 | 87 | 2017 |
Cross-correlation neural network models KI Diamantaras, SY Kung IEEE Transactions on Signal Processing 42 (11), 3218-3223, 1994 | 69 | 1994 |
Blind two-input-two-output FIR channel identification based on frequency domain second-order statistics KI Diamantaras, AP Petropulu, B Chen IEEE transactions on signal processing 48 (2), 534-542, 2000 | 65 | 2000 |
Design and implementation of an open source Greek POS Tagger and Entity Recognizer using spaCy E Partalidou, E Spyromitros-Xioufis, S Doropoulos, S Vologiannidis, ... IEEE/WIC/ACM International Conference on Web Intelligence, 337-341, 2019 | 56 | 2019 |
Blind MIMO FIR channel identification based on second-order spectra correlations I Bradaric, AP Petropulu, KI Diamantaras IEEE transactions on Signal Processing 51 (6), 1668-1674, 2003 | 47 | 2003 |
Augmented reality and virtual reality in education: Public perspectives, sentiments, attitudes, and discourses G Lampropoulos, E Keramopoulos, K Diamantaras, G Evangelidis Education Sciences 12 (11), 798, 2022 | 46 | 2022 |
An efficient subspace method for the blind identification of multichannel FIR Systems KI Diamantaras, T Papadimitriou Signal Processing, IEEE Transactions on 56 (12), 5833-5839, 2008 | 41 | 2008 |
Market sentiment and exchange rate directional forecasting V Plakandaras, T Papadimitriou, P Gogas, K Diamantaras Algorithmic Finance 4 (1-2), 69-79, 2015 | 40 | 2015 |
On blind identifiability of FIR-MIMO systems with cyclostationary inputs using second order statistics I Bradaric, AP Petropulu, KI Diamantaras IEEE transactions on signal processing 51 (2), 434-441, 2003 | 39 | 2003 |
A linear systolic array for real-time morphological image processing KI Diamantaras, SY Kung The Journal of VLSI Signal Processing 17 (1), 43-55, 1997 | 39 | 1997 |