You can also find my articles on my Google Scholar profile.
Published in Accepted for publication at Machine Learning Journal - ECML PKDD Journal track, 2022
Training highly sparse neural networks
Recommended citation: Atashgahi, Z., Pieterse, J., Liu, S., Mocanu, D. C., Veldhuis, R., & Pechenizkiy, M. (2022). A Brain-inspired Algorithm for Training Highly Sparse Neural Networks. arXiv preprint arXiv:1903.07138. https://arxiv.org/abs/1903.07138
Published in International Conference on Learning Representations (ICLR 2022), 2022
Recommended citation: Liu, S., Chen, T., Atashgahi, Z., Chen, X., Sokar, G., Mocanu, E., ... & Mocanu, D. C. (2021). FreeTickets: Accurate, Robust and Efficient Deep Ensemble by Training with Dynamic Sparsity. arXiv preprint arXiv:2106.14568. https://arxiv.org/pdf/2106.14568.pdf
Published in In Press: Machine Learning (ECML-PKDD 2022 journal track), 2022
Feature selection using sparse neural networks
Recommended citation: 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(1), 377-414. https://arxiv.org/abs/2012.00560
Published in , 2021
Extended abstract at ACMwomENcourage 2021
Recommended citation: Atashgahi, Z., Mocanu, D. C., Veldhuis, R., & Pechenizkiy, M. Unsupervised Online Memory-free Change-point Detection using an Ensemble of LSTM-Autoencoder-based Neural Networks. https://womencourage.acm.org/2021/wp-content/uploads/2021/07/65_extendedabstract.pdf
Published in Accepted at NeurIPS 2021, 2021
Recommended citation: Liu, S., Chen, T., Chen, X., Atashgahi, Z., Yin, L., Kou, H., ... & Mocanu, D. C. (2021). Sparse Training via Boosting Pruning Plasticity with Neuroregeneration. arXiv preprint arXiv:2106.10404. https://arxiv.org/pdf/2106.10404.pdf
Published in ECML PKDD 2020, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2020
Recommended citation: Liu, S., Van der Lee, T., Yaman, A., Atashgahi, Z., Ferraro, D., Sokar, G., ... & Mocanu, D. C. (2020). Topological insights into sparse neural networks. In Proceedings of European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, Research Track https://arxiv.org/pdf/2006.14085.pdf