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Azarakhsh Jalalvand
Azarakhsh Jalalvand
Researcher at Princeton University
Verifierad e-postadress på princeton.edu - Startsida
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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
2262018
Phoneme recognition with large hierarchical reservoirs
F Triefenbach, A Jalalvand, B Schrauwen, JP Martens
Advances in neural information processing systems 23, 2010
2122010
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
782015
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
762013
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
652018
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
342020
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
292011
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
282017
Robust continuous digit recognition using reservoir computing
A Jalalvand, F Triefenbach, K Demuynck, JP Martens
Computer Speech & Language 30 (1), 135-158, 2015
272015
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
232018
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
232016
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
192022
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
182021
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
182021
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
182019
Cluster-based input weight initialization for echo state networks
P Steiner, A Jalalvand, P Birkholz
IEEE Transactions on Neural Networks and Learning Systems, 2022
142022
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
142021
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
132021
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
132021
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
132011
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Artiklar 1–20