| Phoneme recognition with large hierarchical reservoirs F Triefenbach, A Jalalvand, B Schrauwen, JP Martens Advances in neural information processing systems 23, 2010 | 192 | 2010 |
| 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 | 173 | 2018 |
| 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 | 74 | 2013 |
| 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 | 64 | 2015 |
| 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 | 51 | 2018 |
| Connected digit recognition by means of reservoir computing A Jalalvand, F Triefenbach, D Verstraeten, JP Martens Twelfth Annual Conference of the International Speech Communication Association, 2011 | 29 | 2011 |
| 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 | 25 | 2017 |
| Robust continuous digit recognition using reservoir computing A Jalalvand, F Triefenbach, K Demuynck, JP Martens Computer Speech & Language 30 (1), 135-158, 2015 | 25 | 2015 |
| 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 | 24 | 2020 |
| 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 | 21 | 2016 |
| 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 | 20 | 2018 |
| 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 | 14 | 2019 |
| Optimized discriminative transformations for speech features based on minimum classification error B Zamani, A Akbari, B Nasersharif, A Jalalvand Pattern Recognition Letters 32 (7), 948-955, 2011 | 13 | 2011 |
| 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 | 12 | 2021 |
| 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 | 11 | 2022 |
| Continuous digit recognition in noise: Reservoirs can do an excellent job! A Jalalvand, F Triefenbach, JP Martens Thirteenth Annual Conference of the International Speech Communication …, 2012 | 10 | 2012 |
| 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 | 9 | 2021 |
| Alleviating manual feature engineering for part-of-speech tagging of twitter microposts using distributed word representations F Godin, B Vandersmissen, A Jalalvand, W De Neve, R Van de Walle Workshop on Modern Machine Learning and Natural Language Processing, NIPS 68, 2014 | 9 | 2014 |
| Feature engineering and stacked echo state networks for musical onset detection P Steiner, A Jalalvand, S Stone, P Birkholz 2020 25th International Conference on Pattern Recognition (ICPR), 9537-9544, 2021 | 7 | 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 | 7 | 2021 |
Wesley De NeveAssociate Professor at Ghent University (Belgium) & Ghent University Global Campus (Korea)Verified email at ugent.be
