| Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science DC Mocanu, E Mocanu, P Stone, PH Nguyen, M Gibescu, A Liotta Nature communications (19 June 2018), arXiv:1707.04780, 2017 | 724 | 2017 |
| On-line building energy optimization using deep reinforcement learning E Mocanu, DC Mocanu, PH Nguyen, A Liotta, ME Webber, M Gibescu, ... IEEE transactions on smart grid 10 (4), 3698-3708, 2018 | 637 | 2018 |
| More convnets in the 2020s: Scaling up kernels beyond 51x51 using sparsity S Liu, T Chen, X Chen, X Chen, Q Xiao, B Wu, T Kärkkäinen, ... ICLR 2023, The Eleventh International Conference on Learning Representations …, 2023 | 178 | 2023 |
| Do we actually need dense over-parameterization? in-time over-parameterization in sparse training S Liu, L Yin, DC Mocanu, M Pechenizkiy ICML 2021, Thirty-eighth International Conference on Machine Learning, 2021 | 132 | 2021 |
| Sparse Training via Boosting Pruning Plasticity with Neuroregeneration S Liu, T Chen, X Chen, Z Atashgahi, L Yin, H Kou, L Shen, M Pechenizkiy, ... NeurIPS 2021, Thirty-fifth Conference on Neural Information Processing …, 2021 | 126 | 2021 |
| A topological insight into restricted Boltzmann machines DC Mocanu, E Mocanu, PH Nguyen, M Gibescu, A Liotta Machine Learning 104 (2), 243--270, 2016 | 116 | 2016 |
| An automated measure of mdp similarity for transfer in reinforcement learning HB Ammar, E Eaton, ME Taylor, DC Mocanu, K Driessens, G Weiss, ... Workshops at the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014 | 115 | 2014 |
| The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training S Liu, T Chen, X Chen, L Shen, DC Mocanu, Z Wang, M Pechenizkiy ICLR 2022, The Tenth International Conference on Learning Representations …, 2022 | 114 | 2022 |
| Short-long term anomaly detection in wireless sensor networks based on machine learning and multi-parameterized edit distance F Cauteruccio, G Fortino, A Guerrieri, A Liotta, DC Mocanu, C Perra, ... Information Fusion 52, 13-30, 2019 | 109 | 2019 |
| Sparse evolutionary deep learning with over one million artificial neurons on commodity hardware S Liu, DC Mocanu, ARR Matavalam, Y Pei, M Pechenizkiy Neural Computing and Applications (6 July 2020) 33 (7), 2589-2604, 2019 | 97 | 2019 |
| SpaceNet: Make Free Space For Continual Learning G Sokar, DC Mocanu, M Pechenizkiy Neurocomputing 439 (7 June 2021), 1-11, 2020 | 78 | 2020 |
| Deep learning for quality assessment in live video streaming MT Vega, DC Mocanu, J Famaey, S Stavrou, A Liotta IEEE signal processing letters 24 (6), 736-740, 2017 | 78 | 2017 |
| Big IoT data mining for real-time energy disaggregation in buildings DC Mocanu, E Mocanu, PH Nguyen, M Gibescu, A Liotta 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016 | 62 | 2016 |
| Automatically mapped transfer between reinforcement learning tasks via three-way restricted boltzmann machines HB Ammar, DC Mocanu, ME Taylor, K Driessens, K Tuyls, G Weiss Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013 | 61* | 2013 |
| Towards ABAC Policy Mining from Logs with Deep Learning DC Mocanu, F Turkmen, A Liotta 18th International Multiconference, IS 2015, Intelligent Systems, Ljubljana …, 2015 | 60 | 2015 |
| 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, ... ICLR 2022, The Tenth International Conference on Learning Representations …, 2022 | 57 | 2022 |
| Factored Four Way Conditional Restricted Boltzmann Machines for Activity Recognition (Type B Paper) DC Mocanu, HB Ammar, D Lowet, K Driessens, A Liotta, G Weiss, K Tuyls Proceedings of the 27th Benelux Conference on Artificial Intelligence …, 2015 | 54* | 2015 |
| Predictive no-reference assessment of video quality MT Vega, DC Mocanu, S Stavrou, A Liotta Signal Processing: Image Communication 52, 20-32, 2017 | 51 | 2017 |
| Efficient and effective training of sparse recurrent neural networks S Liu, I Ni’mah, V Menkovski, DC Mocanu, M Pechenizkiy Neural Computing and Applications, 1-12, 2021 | 47* | 2021 |
| Selfish sparse RNN training S Liu, DC Mocanu, Y Pei, M Pechenizkiy ICML 2021, Thirty-eighth International Conference on Machine Learning, 2021 | 46 | 2021 |
Antonio LiottaProfessor at Faculty of Engineering, University of Bozen-Bolzano, Italyunibz.it의 이메일 확인됨
