| Fast deep convolutional face detection in the wild exploiting hard sample mining D Triantafyllidou, P Nousi, A Tefas Big data research 11, 65-76, 2018 | 81 | 2018 |
| 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 |
| Embedded UAV real-time visual object detection and tracking P Nousi, I Mademlis, I Karakostas, A Tefas, I Pitas 2019 IEEE International Conference on Real-time Computing and Robotics (RCAR …, 2019 | 51 | 2019 |
| 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 | 43 | 2023 |
| Deep autoencoders for attribute preserving face de-identification P Nousi, S Papadopoulos, A Tefas, I Pitas Signal Processing: Image Communication 81, 115699, 2020 | 31 | 2020 |
| Deep learning algorithms for discriminant autoencoding P Nousi, A Tefas Neurocomputing 266, 325-335, 2017 | 26 | 2017 |
| Self-supervised autoencoders for clustering and classification P Nousi, A Tefas Evolving Systems 11 (3), 453-466, 2020 | 23 | 2020 |
| Opendr: An open toolkit for enabling high performance, low footprint deep learning for robotics N Passalis, S Pedrazzi, R Babuska, W Burgard, D Dias, F Ferro, ... 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 20 | 2022 |
| Convolutional neural networks for visual information analysis with limited computing resources P Nousi, E Patsiouras, A Tefas, I Pitas 2018 25th IEEE International Conference on Image Processing (ICIP), 321-325, 2018 | 20 | 2018 |
| Deep residual networks for gravitational wave detection P Nousi, AE Koloniari, N Passalis, P Iosif, N Stergioulas, A Tefas Physical Review D 108 (2), 024022, 2023 | 19 | 2023 |
| Gimbal control for vision-based target tracking R Cunha, M Malaca, V Sampaio, B Guerreiro, P Nousi, I Mademlis, ... Proceedings of the European Conference on Signal Processing, 2019 | 19 | 2019 |
| Re-identification framework for long term visual object tracking based on object detection and classification P Nousi, D Triantafyllidou, A Tefas, I Pitas Signal Processing: Image Communication 88, 115969, 2020 | 18 | 2020 |
| Dense convolutional feature histograms for robust visual object tracking P Nousi, A Tefas, I Pitas Image and Vision Computing 99, 103933, 2020 | 16 | 2020 |
| Discriminatively trained autoencoders for fast and accurate face recognition P Nousi, A Tefas Engineering Applications of Neural Networks: 18th International Conference …, 2017 | 16 | 2017 |
| Joint lightweight object tracking and detection for unmanned vehicles P Nousi, D Triantafyllidou, A Tefas, I Pitas 2019 IEEE International Conference on Image Processing (ICIP), 160-164, 2019 | 14 | 2019 |
| Lightweight two-stream convolutional face detection D Triantafyllidou, P Nousi, A Tefas 2017 25th European Signal Processing Conference (EUSIPCO), 1190-1194, 2017 | 10 | 2017 |
| Deep reinforcement learning for financial trading using multi-modal features L Avramelou, P Nousi, N Passalis, A Tefas Expert Systems with Applications 238, 121849, 2024 | 9 | 2024 |
| Lightweight deep learning P Nousi, M Tzelepi, N Passalis, A Tefas Deep learning for robot perception and cognition, 131-164, 2022 | 7 | 2022 |
| Cryptosentiment: A dataset and baseline for sentiment-aware deep reinforcement learning for financial trading L Avramelou, P Nousi, N Passalis, S Doropoulos, A Tefas 2023 IEEE International Conference on Acoustics, Speech, and Signal …, 2023 | 6 | 2023 |
| Autoencoder-driven spiral representation learning for gravitational wave surrogate modelling P Nousi, SC Fragkouli, N Passalis, P Iosif, T Apostolatos, G Pappas, ... Neurocomputing 491, 67-77, 2022 | 6 | 2022 |
