| Sparse Training via Boosting Pruning Plasticity with Neuroregeneration S Liu, T Chen, X Chen, Z Atashgahi, L Yin, H Kou, L Shen, M Pechenizkiy, ... Advances in Neural Information Processing Systems (NeurIPS 2021), 2021 | 21 | 2021 |
| Topological insights into sparse neural networks S Liu, T Van der Lee, A Yaman, Z Atashgahi, D Ferraro, G Sokar, ... ECML PKDD 2020, European Conference on Machine Learning and Principles and …, 2020 | 15* | 2020 |
| Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders Z Atashgahi, G Sokar, T van der Lee, E Mocanu, DC Mocanu, R Veldhuis, ... Machine Learning Journal (ECML-PKDD 2022 journal track), 2021 | 11 | 2021 |
| Deep ensembling with no overhead for either training or testing: The all-round blessings of dynamic sparsity S Liu, T Chen, Z Atashgahi, X Chen, G Sokar, E Mocanu, M Pechenizkiy, ... The International Conference on Learning Representations (ICLR2022), 2021 | 7* | 2021 |
| A Brain-inspired Algorithm for Training Highly Sparse Neural Networks Z Atashgahi, J Pieterse, S Liu, D Constantin Mocanu, R Veldhuis, ... Machine Learning Journal (ECML-PKDD 2022 journal track), 2022 | 2 | 2022 |
| Abnormal Activity Detection for the Elderly People using ConvLSTM Autoencoder E Nazerfard, Z Atashgahi, A Nadali | 2 | 2021 |
| Unsupervised Online Memory-free Change-point Detection using an Ensemble of LSTM-Autoencoder-based Neural Networks Z Atashgahi, DC Mocanu, R Veldhuis, M Pechenizkiy 8th ACM Celebration of Women in Computing womENcourage, 2021 | 1 | 2021 |
| Memory-free Online Change-point Detection: A Novel Neural Network Approach Z Atashgahi, DC Mocanu, R Veldhuis, M Pechenizkiy arXiv preprint arXiv:2207.03932, 2022 | | 2022 |
| Sparse Training via Boosting Pruning Plasticity with Neuroregeneration (Poster) S Liu, T Chen, X Chen, Z Atashgahi, L Yin, H Kou, L Shen, M Pechenizkiy, ... Sparsity in Neural Networks: Advancing Understanding and Practice 2021, 2021 | | 2021 |
| Robustness of sparse MLPs for supervised feature selection (poster) N Kichler, Z Atashgahi, DC Mocanu Sparsity in Neural Networks: Advancing Understanding and Practice 2021, 2021 | | 2021 |
| Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders (poster) Z Atashgahi, GAZN Sokar, T van der Lee, E Mocanu, DC Mocanu, ... Sparsity in Neural Networks: Advancing Understanding and Practice 2021, 2021 | | 2021 |
Decebal Constantin MocanuAssistant Professor at University of Twente, Eindhoven University of TechnologyVerified email at utwente.nl
