Azarakhsh Jalalvand

Orcid: 0000-0001-8739-1793

According to our database1, Azarakhsh Jalalvand authored at least 38 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Avoiding fusion plasma tearing instability with deep reinforcement learning.
Nat., 2024

Real-time confinement regime detection in fusion plasmas with convolutional neural networks and high-bandwidth edge fluctuation measurements.
Mach. Learn. Sci. Technol., 2024

Model-free stabilization via Extremum Seeking using a cost neural estimator.
Expert Syst. Appl., 2024

Diag2Diag: Multimodal super-resolution diagnostics for physics discovery with application to fusion.
CoRR, 2024

2023
Exploring unsupervised pre-training for echo state networks.
Neural Comput. Appl., December, 2023

Cluster-Based Input Weight Initialization for Echo State Networks.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Hybrid static-sensory data modeling for prediction tasks in basic oxygen furnace process.
Appl. Intell., June, 2023

Non-Standard Echo State Networks for Video Door State Monitoring.
Proceedings of the International Joint Conference on Neural Networks, 2023

Multimodal Prediction of Tearing Instabilities in a Tokamak.
Proceedings of the International Joint Conference on Neural Networks, 2023

Application of neural networks in beam emission spectroscopy modelling.
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.
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.
IEEE Trans. Neural Networks Learn. Syst., 2022

PyRCN: A toolbox for exploration and application of Reservoir Computing Networks.
Eng. Appl. Artif. Intell., 2022

2021
Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems.
Comput. Vis. Image Underst., 2021

PyRCN: Exploration and Application of ESNs.
CoRR, 2021

Improved Acoustic Modeling for Automatic Piano Music Transcription Using Echo State Networks.
Proceedings of the Advances in Computational Intelligence, 2021

Unsupervised Pretraining of Echo State Networks for Onset Detection.
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.
Neural Comput. Appl., 2020

Feature Engineering and Stacked Echo State Networks for Musical Onset Detection.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Multipitch tracking in music signals using Echo State Networks.
Proceedings of the 28th European Signal Processing Conference, 2020

2018
Indoor Person Identification Using a Low-Power FMCW Radar.
IEEE Trans. Geosci. Remote. Sens., 2018

On the application of reservoir computing networks for noisy image recognition.
Neurocomputing, 2018

Multivariate Time Series for Data-Driven Endpoint Prediction in the Basic Oxygen Furnace.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017
Dynamically Reconfigurable Architecture for Fault-Tolerant 2D Networks-on-Chip.
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.
Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016

Towards using Reservoir Computing Networks for noise-robust image recognition.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Robust continuous digit recognition using Reservoir Computing.
Comput. Speech Lang., 2015

Real-Time Reservoir Computing Network-Based Systems for Detection Tasks on Visual Contents.
Proceedings of the 7th International Conference on Computational Intelligence, 2015

2014
Adaptive multicast routing method for 3D mesh-based Networks-on-Chip.
Proceedings of the 27th IEEE International System-on-Chip Conference, 2014

2013
Acoustic Modeling With Hierarchical Reservoirs.
IEEE Trans. Speech Audio Process., 2013

Feature enhancement with a Reservoir-based Denoising Auto Encoder.
Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2013

Noise robust continuous digit recognition with reservoir-based acoustic models.
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.
Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013

2012
Continuous Digit Recognition in Noise: Reservoirs can do an excellent job!
Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012

2011
Optimized discriminative transformations for speech features based on minimum classification error.
Pattern Recognit. Lett., 2011

Connected Digit Recognition by Means of Reservoir Computing.
Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

2010
Discriminative transformation for speech features based on genetic algorithm and HMM likelihoods.
IEICE Electron. Express, 2010

Phoneme Recognition with Large Hierarchical Reservoirs.
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


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