Azarakhsh Jalalvand

According to our database, Azarakhsh Jalalvand authored at least 35 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Avoiding fusion plasma tearing instability with deep reinforcement learning.

Jaemin Seo, SangKyeun Kim, Azarakhsh Jalalvand, Rory Conlin, Andrew Rothstein, Joseph Abbate, Keith Erickson, Josiah Wai, Ricardo Shousha, Egemen Kolemen

Nat., 2024

2023

Exploring unsupervised pre-training for echo state networks.

Peter Steiner, Azarakhsh Jalalvand, Peter Birkholz

Neural Comput. Appl., December, 2023

Cluster-Based Input Weight Initialization for Echo State Networks.

Peter Steiner, Azarakhsh Jalalvand, Peter Birkholz

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Hybrid static-sensory data modeling for prediction tasks in basic oxygen furnace process.

Davi Alberto Sala, Andy Van Yperen-De Deyne, Erik Mannens, Azarakhsh Jalalvand

Appl. Intell., June, 2023

Non-Standard Echo State Networks for Video Door State Monitoring.

Peter Steiner, Azarakhsh Jalalvand, Peter Birkholz

Proceedings of the International Joint Conference on Neural Networks, 2023

Multimodal Prediction of Tearing Instabilities in a Tokamak.

Jaemin Seo, Rory Conlin, Andrew Rothstein, SangKyeun Kim, Joseph Abbate, Azarakhsh Jalalvand, Egemen Kolemen

Proceedings of the International Joint Conference on Neural Networks, 2023

Application of neural networks in beam emission spectroscopy modelling.

Azarakhsh Jalalvand, Ors Asztalos, Mate Karacsonyi, Gergo I. Pokol

Proceedings of the International Joint Conference on Neural Networks, 2023

Alfvén eigenmode detection using Long-Short Term Memory Networks and CO2 Interferometer data on the DIII-D National Fusion Facility.

Alvin V. Garcia, Azarakhsh Jalalvand, Peter Steiner, Andrew Rothstein, Michael Van Zeeland, William W. Heidbrink, Egemen Kolemen

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Real-Time and Adaptive Reservoir Computing With Application to Profile Prediction in Fusion Plasma.

Azarakhsh Jalalvand, Joseph Abbate, Rory Conlin, Geert Verdoolaege, Egemen Kolemen

IEEE Trans. Neural Networks Learn. Syst., 2022

PyRCN: A toolbox for exploration and application of Reservoir Computing Networks.

Peter Steiner, Azarakhsh Jalalvand, Simon Stone, Peter Birkholz

Eng. Appl. Artif. Intell., 2022

2021

Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems.

Utku Ozbulak, Baptist Vandersmissen, Azarakhsh Jalalvand, Ivo Couckuyt, Arnout Van Messem, Wesley De Neve

Comput. Vis. Image Underst., 2021

PyRCN: Exploration and Application of ESNs.

Peter Steiner, Azarakhsh Jalalvand, Simon Stone, Peter Birkholz

CoRR, 2021

Improved Acoustic Modeling for Automatic Piano Music Transcription Using Echo State Networks.

Peter Steiner, Azarakhsh Jalalvand, Peter Birkholz

Proceedings of the Advances in Computational Intelligence, 2021

Unsupervised Pretraining of Echo State Networks for Onset Detection.

Peter Steiner, Azarakhsh Jalalvand, Peter Birkholz

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

Indoor human activity recognition using high-dimensional sensors and deep neural networks.

Baptist Vandersmissen, Nicolas Knudde, Azarakhsh Jalalvand, Ivo Couckuyt, Tom Dhaene, Wesley De Neve

Neural Comput. Appl., 2020

Feature Engineering and Stacked Echo State Networks for Musical Onset Detection.

Peter Steiner, Azarakhsh Jalalvand, Simon Stone, Peter Birkholz

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Multipitch tracking in music signals using Echo State Networks.

Peter Steiner, Simon Stone, Peter Birkholz, Azarakhsh Jalalvand

Proceedings of the 28th European Signal Processing Conference, 2020

2018

Indoor Person Identification Using a Low-Power FMCW Radar.

Baptist Vandersmissen, Nicolas Knudde, Azarakhsh Jalalvand, Ivo Couckuyt, André Bourdoux, Wesley De Neve, Tom Dhaene

IEEE Trans. Geosci. Remote. Sens., 2018

On the application of reservoir computing networks for noisy image recognition.

Azarakhsh Jalalvand, Kris Demuynck, Wesley De Neve, Jean-Pierre Martens

Neurocomputing, 2018

Multivariate Time Series for Data-Driven Endpoint Prediction in the Basic Oxygen Furnace.

Davi Alberto Sala, Azarakhsh Jalalvand, Andy Van Yperen-De Deyne, Erik Mannens

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017

Dynamically Reconfigurable Architecture for Fault-Tolerant 2D Networks-on-Chip.

Poona Bahrebar, Azarakhsh Jalalvand, Dirk Stroobandt

Proceedings of the 26th International Conference on Computer Communication and Networks, 2017

2016

An Automated End-To-End Pipeline for Fine-Grained Video Annotation using Deep Neural Networks.

Baptist Vandersmissen, Lucas Sterckx, Thomas Demeester, Azarakhsh Jalalvand, Wesley De Neve, Rik Van de Walle

Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016

Towards using Reservoir Computing Networks for noise-robust image recognition.

Azarakhsh Jalalvand, Wesley De Neve, Rik Van de Walle, Jean-Pierre Martens

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Robust continuous digit recognition using Reservoir Computing.

Azarakhsh Jalalvand, Fabian Triefenbach, Kris Demuynck, Jean-Pierre Martens

Comput. Speech Lang., 2015

Real-Time Reservoir Computing Network-Based Systems for Detection Tasks on Visual Contents.

Azarakhsh Jalalvand, Glenn Van Wallendael, Rik Van de Walle

Proceedings of the 7th International Conference on Computational Intelligence, 2015

2014

Adaptive multicast routing method for 3D mesh-based Networks-on-Chip.

Poona Bahrebar, Azarakhsh Jalalvand, Dirk Stroobandt

Proceedings of the 27th IEEE International System-on-Chip Conference, 2014

2013

Acoustic Modeling With Hierarchical Reservoirs.

Fabian Triefenbach, Azarakhsh Jalalvand, Kris Demuynck, Jean-Pierre Martens

IEEE Trans. Speech Audio Process., 2013

Feature enhancement with a Reservoir-based Denoising Auto Encoder.

Azarakhsh Jalalvand, Kris Demuynck, Jean-Pierre Martens

Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2013

Noise robust continuous digit recognition with reservoir-based acoustic models.

Azarakhsh Jalalvand, Kris Demuynck, Jean-Pierre Martens

Proceedings of the International Symposium on Intelligent Signal Processing and Communication Systems, 2013

Context-dependent modeling and speaker normalization applied to reservoir-based phone recognition.

Fabian Triefenbach, Azarakhsh Jalalvand, Kris Demuynck, Jean-Pierre Martens

Proceedings of the INTERSPEECH 2013, 2013

2012

Continuous Digit Recognition in Noise: Reservoirs can do an excellent job!

Azarakhsh Jalalvand, Fabian Triefenbach, Jean-Pierre Martens

Proceedings of the INTERSPEECH 2012, 2012

2011

Optimized discriminative transformations for speech features based on minimum classification error.

Behzad Zamani, Ahmad Akbari, Babak Nasersharif, Azarakhsh Jalalvand

Pattern Recognit. Lett., 2011

Connected Digit Recognition by Means of Reservoir Computing.

Azarakhsh Jalalvand, Fabian Triefenbach, David Verstraeten, Jean-Pierre Martens

Proceedings of the INTERSPEECH 2011, 2011

2010

Discriminative transformation for speech features based on genetic algorithm and HMM likelihoods.

Behzad Zamani, Ahmad Akbari, Babak Nasersharif, Mehdi Mohammadi, Azarakhsh Jalalvand

IEICE Electron. Express, 2010

Phoneme Recognition with Large Hierarchical Reservoirs.

Fabian Triefenbach, Azarakhsh Jalalvand, Benjamin Schrauwen, Jean-Pierre Martens

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010