Các bài viết có thể truy cập công khai - Decebal Constantin MocanuTìm hiểu thêm
Có tại một số nơi: 31
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
Các cơ quan ủy nhiệm: European Commission
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
Các cơ quan ủy nhiệm: Netherlands Organisation for Scientific Research
A topological insight into restricted Boltzmann machines
DC Mocanu, E Mocanu, PH Nguyen, M Gibescu, A Liotta
Machine Learning 104 (2), 243--270, 2016
Các cơ quan ủy nhiệm: European Commission
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
Các cơ quan ủy nhiệm: European Commission, Government of Italy
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
Các cơ quan ủy nhiệm: European Commission
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
Các cơ quan ủy nhiệm: European Commission
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
Các cơ quan ủy nhiệm: US National Science Foundation
Predictive no-reference assessment of video quality
MT Vega, DC Mocanu, S Stavrou, A Liotta
Signal Processing: Image Communication 52, 20-32, 2017
Các cơ quan ủy nhiệm: European Commission
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 (ECMLPKDD 2022 journal track), arXiv:2012.00560, 2020
Các cơ quan ủy nhiệm: Netherlands Organisation for Scientific Research
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
Các cơ quan ủy nhiệm: Netherlands Organisation for Scientific Research
Unsupervised deep learning for real-time assessment of video streaming services
M Torres Vega, DC Mocanu, A Liotta
Multimedia Tools and Applications 76, 22303-22327, 2017
Các cơ quan ủy nhiệm: European Commission
No-reference video quality measurement: added value of machine learning
DC Mocanu, J Pokhrel, JP Garella, J Seppänen, E Liotou, M Narwaria
Journal of Electronic Imaging 24 (6), 061208-061208, 2015
Các cơ quan ủy nhiệm: Finnish Funding Agency for Innovation
Dynamic Sparse Network for Time Series Classification: Learning What to “See”
Q Xiao, B Wu, Y Zhang, S Liu, M Pechenizkiy, E Mocanu, DC Mocanu
NeurIPS 2022, 36th Annual Conference on Neural Information Processing Systems, 2022
Các cơ quan ủy nhiệm: Netherlands Organisation for Scientific Research
A Brain-inspired Algorithm for Training Highly Sparse Neural Networks
Z Atashgahi, J Pieterse, S Liu, DC Mocanu, R Veldhuis, M Pechenizkiy
Machine Learning Journal (ECML-PKDD 2022 journal track), arXiv:1903.07138, 2022
Các cơ quan ủy nhiệm: Netherlands Organisation for Scientific Research
Evolving plasticity for autonomous learning under changing environmental conditions
A Yaman, G Iacca, DC Mocanu, M Coler, G Fletcher, M Pechenizkiy
Evolutionary computation 29 (3), 391-414, 2021
Các cơ quan ủy nhiệm: European Commission
Decentralized dynamic understanding of hidden relations in complex networks
DC Mocanu, G Exarchakos, A Liotta
Scientific reports 8 (1), 1571, 2018
Các cơ quan ủy nhiệm: European Commission
Cognitive Streaming on Android Devices
MT Vega, DC Mocanu, R Barresi, G Fortino, A Liotta
Các cơ quan ủy nhiệm: European Commission
Limited evaluation cooperative co-evolutionary differential evolution for large-scale neuroevolution
A Yaman, DC Mocanu, G Iacca, G Fletcher, M Pechenizkiy
Genetic and Evolutionary Computation Conference (GECCO), 15-19 July 2018 …, 2018
Các cơ quan ủy nhiệm: European Commission
Redundancy reduction in wireless sensor networks via centrality metrics
DC Mocanu, M Torres Vega, A Liotta
Data Mining Workshops (ICDMW), 2015 IEEE International Conference on, 2015
Các cơ quan ủy nhiệm: European Commission
Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training
AI Nowak, B Grooten, DC Mocanu, J Tabor
NeurIPS 2023, 37th Annual Conference on Neural Information Processing …, 2023
Các cơ quan ủy nhiệm: Netherlands Organisation for Scientific Research, Narodowe Centrum Nauki
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