Expertises
Engineering & Materials Science
# Brain
# Data Storage Equipment
# Energy Resources
# Feature Extraction
# Neural Networks
# Neurons
# Time Series Analysis
# Topology
Verbonden aan
Publicaties
Recent
Atashgahi, Z. (2024).
Advancing Efficiency in Neural Networks through Sparsity and Feature Selection. [PhD Thesis - Research UT, graduation UT, University of Twente]. University of Twente.
https://doi.org/10.3990/1.9789036559829
Atashgahi, Z., Zhang, X., Kichler, N., Liu, S., Yin, L., Pechenizkiy, M.
, Veldhuis, R.
, & Mocanu, D. C. (2023).
Supervised Feature Selection with Neuron Evolution in Sparse Neural Networks. ArXiv.org.
https://doi.org/10.48550/arXiv.2303.07200
Atashgahi, Z., Pechenizkiy, M.
, Veldhuis, R.
, & Mocanu, D. C. (2023).
Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers. ArXiv.org.
Atashgahi, Z., Zhang, X., Kichler, N., Liu, S., Yin, L.
, Veldhuis, R., Pechenizkiy, M.
, & Mocanu, D. C. (2023).
Supervised Feature Selection with Neuron Evolution in Sparse Neural Networks. Poster session presented at ICLR 2023 Workshop on Sparsity in Neural Networks, Kigali, Rwanda.
Atashgahi, Z. (2023).
Cost-effective Artificial Neural Networks. In E. Elkind (Ed.),
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI-23 (pp. 7071-7072)
https://doi.org/10.24963/ijcai.2023/810
Atashgahi, Z., Zhang, X., Kichler, N., Liu, S., Yin, L.
, Veldhuis, R., Pechenizkiy, M.
, & Mocanu, D. C. (2023).
Supervised Feature Selection with Neuron Evolution in Sparse Neural Networks.
Transactions on Machine Learning Research.
https://openreview.net/pdf?id=GcO6ugrLKp
Atashgahi, Z.
, Mocanu, D. C.
, Veldhuis, R. N. J., & Pechenizkiy, M. (2022).
Memory-free Online Change-point Detection: A Novel Neural Network Approach. ArXiv.org.
https://arxiv.org/abs/2207.03932
Sokar, G. A. Z. N.
, Atashgahi, Z., Pechenizkiy, M.
, & Mocanu, D. C. (2022).
Where to Pay Attention in Sparse Training for Feature Selection? ArXiv.org.
https://doi.org/10.48550/arXiv.2211.14627
Atashgahi, Z., Pieterse, J., Liu, S.
, Mocanu, D. C.
, Veldhuis, R. N. J., & Pechenizkiy, M. (2022).
A brain-inspired algorithm for training highly sparse neural networks.
Machine Learning,
111(12), 4411-4452.
https://doi.org/10.1007/s10994-022-06266-w
Atashgahi, Z., Sokar, G., van der Lee, T.
, Mocanu, E.
, Mocanu, D. C.
, Veldhuis, R., & Pechenizkiy, M. (2022).
Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders.
Machine Learning,
111, 377–414.
https://doi.org/10.1007/s10994-021-06063-x
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Contactgegevens
Bezoekadres
Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
(gebouwnr. 11)
Hallenweg 19
7522NH Enschede
Postadres
Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
Postbus 217
7500 AE Enschede
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