Ehsan Abbasnejad
Ehsan Abbasnejad
Australian Institute for Machine Learning, University of Adelaide
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Cited by
Cited by
Infinite Variational Autoencoder for Semi-Supervised Learning
E Abbasnejad, A Dick, A van den Hengel
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu …, 2017
The state of sparsity in deep neural networks
T Gale, E Elsen, S Hooker
arXiv preprint arXiv:1902.09574, 2019
New objective functions for social collaborative filtering
J Noel, S Sanner, KN Tran, P Christen, L Xie, EV Bonilla, E Abbasnejad, ...
Proceedings of the 21st international conference on World Wide Web, 859-868, 2012
Recombinational cloning using engineered recombination sites
J Hartley, M Brasch
US Patent App. 10/162,879, 2003
The common solution of the pair of fuzzy matrix equations
A Sadeghi, S Abbasbandy, ME Abbasnejad
World Applied Sciences 15 (2), 232-238, 2011
A survey of the state of the art in learning the kernels
ME Abbasnejad, D Ramachandram, R Mandava
Knowledge and information systems 31 (2), 193-221, 2012
On solving systems of fuzzy matrix equation
A Sadeghi, ME Abbasnejad, MI Ahmad
Far East Journal of Applied Mathematics 59 (1), 31-44, 2011
A note on solving the fuzzy Sylvester matrix equation, journal of computational analysis and applications
A Sadeghi, MI Ahmad, A Ahmad, ME Abbasnejad
Distribution based workload modelling of continuous queries in clouds
A Khoshkbarforoushha, R Ranjan, R Gaire, E Abbasnejad, L Wang, ...
IEEE Transactions on Emerging Topics in Computing 5 (1), 120-133, 2016
Symbolic Variable Elimination for Discrete and Continuous Graphical Models.
S Sanner, E Abbasnejad
AAAI, 2012
Deepsetnet: Predicting sets with deep neural networks
SH Rezatofighi, VK BG, A Milan, E Abbasnejad, A Dick, I Reid
2017 IEEE International Conference on Computer Vision (ICCV), 5257-5266, 2017
Reflection, refraction, and hamiltonian monte carlo
H Mohasel Afshar, J Domke
Advances in neural information processing systems 28, 3007-3015, 2015
Learning community-based preferences via dirichlet process mixtures of gaussian processes
E Abbasnejad, S Sanner, EV Bonilla, P Poupart
Twenty-third international joint conference on artificial intelligence, 2013
Invisible Backdoor Attacks on Deep Neural Networks via Steganography and Regularization
S Li, M Xue, BZH Zhao, H Zhu, X Zhang
arXiv preprint arXiv:1909.02742, 2019
Resource usage estimation of data stream processing workloads in datacenter clouds
A Khoshkbarforoushha, R Ranjan, R Gaire, PP Jayaraman, J Hosking, ...
arXiv preprint arXiv:1501.07020, 2015
Soccer event detection via collaborative multimodal feature analysis and candidate ranking.
AA Halin, M Rajeswari, M Abbasnejad
Int. Arab J. Inf. Technol. 10 (5), 493-502, 2013
Reinforcement learning with attention that works: A self-supervised approach
A Manchin, E Abbasnejad, A van den Hengel
International Conference on Neural Information Processing, 223-230, 2019
Adaptive neuro-surrogate-based optimisation method for wave energy converters placement optimisation
M Neshat, E Abbasnejad, Q Shi, B Alexander, M Wagner
International Conference on Neural Information Processing, 353-366, 2019
Februus: Input purification defense against trojan attacks on deep neural network systems
BG Doan, E Abbasnejad, DC Ranasinghe
arXiv: 1908.03369, 2019
Deep auto-set: A deep auto-encoder-set network for activity recognition using wearables
AA Varamin, E Abbasnejad, Q Shi, DC Ranasinghe, H Rezatofighi
Proceedings of the 15th EAI International Conference on Mobile and …, 2018
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