| Indoor person identification using a low-power FMCW radar B Vandersmissen, N Knudde, A Jalalvand, I Couckuyt, A Bourdoux, ... IEEE Transactions on Geoscience and Remote Sensing 56 (7), 3941-3952, 2018 | 251 | 2018 |
| Phoneme recognition with large hierarchical reservoirs F Triefenbach, A Jalalvand, B Schrauwen, JP Martens Advances in neural information processing systems 23, 2010 | 223 | 2010 |
| Real-time reservoir computing network-based systems for detection tasks on visual contents A Jalalvand, G Van Wallendael, R Van de Walle 2015 7th International Conference on Computational Intelligence …, 2015 | 85 | 2015 |
| Acoustic modeling with hierarchical reservoirs F Triefenbach, A Jalalvand, K Demuynck, JP Martens IEEE Transactions on Audio, Speech, and Language Processing 21 (11), 2439-2450, 2013 | 80 | 2013 |
| On the application of reservoir computing networks for noisy image recognition A Jalalvand, K Demuynck, W De Neve, JP Martens Neurocomputing 277, 237-248, 2018 | 69 | 2018 |
| Indoor human activity recognition using high-dimensional sensors and deep neural networks B Vandersmissen, N Knudde, A Jalalvand, I Couckuyt, T Dhaene, ... Neural Computing and Applications 32, 12295-12309, 2020 | 39 | 2020 |
| Indoor tracking of multiple persons with a 77 GHz MIMO FMCW radar N Knudde, B Vandersmissen, K Parashar, I Couckuyt, A Jalalvand, ... 2017 European Radar Conference (EURAD), 61-64, 2017 | 34 | 2017 |
| Connected digit recognition by means of reservoir computing A Jalalvand, F Triefenbach, D Verstraeten, JP Martens 12th Annual conference of the International Speech Communication Association …, 2011 | 31 | 2011 |
| Robust continuous digit recognition using reservoir computing A Jalalvand, F Triefenbach, K Demuynck, JP Martens Computer Speech & Language 30 (1), 135-158, 2015 | 30 | 2015 |
| Avoiding fusion plasma tearing instability with deep reinforcement learning J Seo, SK Kim, A Jalalvand, R Conlin, A Rothstein, J Abbate, K Erickson, ... Nature 626 (8000), 746-751, 2024 | 26 | 2024 |
| DIII-D research advancing the physics basis for optimizing the tokamak approach to fusion energy ME Fenstermacher, J Abbate, S Abe, T Abrams, M Adams, B Adamson, ... Nuclear Fusion 62 (4), 042024, 2022 | 25 | 2022 |
| Alfvén eigenmode classification based on ECE diagnostics at DIII-D using deep recurrent neural networks A Jalalvand, AA Kaptanoglu, AV Garcia, AO Nelson, J Abbate, ME Austin, ... Nuclear Fusion 62 (2), 026007, 2021 | 24 | 2021 |
| Towards using reservoir computing networks for noise-robust image recognition A Jalalvand, W De Neve, R Van de Walle, JP Martens 2016 International Joint Conference on Neural Networks (IJCNN), 1666-1672, 2016 | 24 | 2016 |
| Real-time and adaptive reservoir computing with application to profile prediction in fusion plasma A Jalalvand, J Abbate, R Conlin, G Verdoolaege, E Kolemen IEEE Transactions on Neural Networks and Learning Systems 33 (6), 2630-2641, 2021 | 23 | 2021 |
| Radar signal processing for human identification by means of reservoir computing networks A Jalalvand, B Vandersmissen, W De Neve, E Mannens 2019 IEEE Radar Conference (RadarConf), 1-6, 2019 | 23 | 2019 |
| Multivariate time series for data-driven endpoint prediction in the basic oxygen furnace DA Sala, A Jalalvand, A Van Yperen-De Deyne, E Mannens 2018 17th IEEE international conference on machine learning and applications …, 2018 | 23 | 2018 |
| PyRCN: A toolbox for exploration and application of Reservoir Computing Networks P Steiner, A Jalalvand, S Stone, P Birkholz Engineering Applications of Artificial Intelligence 113, 104964, 2022 | 20 | 2022 |
| Cluster-based input weight initialization for echo state networks P Steiner, A Jalalvand, P Birkholz IEEE Transactions on Neural Networks and Learning Systems 34 (10), 7648-7659, 2022 | 19 | 2022 |
| Multipitch tracking in music signals using echo state networks P Steiner, S Stone, P Birkholz, A Jalalvand 2020 28th European Signal Processing Conference (EUSIPCO), 126-130, 2021 | 18 | 2021 |
| Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems U Ozbulak, B Vandersmissen, A Jalalvand, I Couckuyt, A Van Messem, ... Computer Vision and Image Understanding 202, 103111, 2021 | 17 | 2021 |
Wesley De NeveAssociate Professor at Ghent University (Belgium) & Ghent University Global Campus (Korea)Geverifieerd e-mailadres voor ugent.be
