| Februus: Input purification defense against trojan attacks on deep neural network systems BG Doan, E Abbasnejad, DC Ranasinghe Annual Computer Security Applications Conference, 897-912, 2020 | 129 | 2020 |
| 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 | 95 | 2012 |
| Learning what makes a difference from counterfactual examples and gradient supervision D Teney, E Abbasnedjad, A van den Hengel Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 87 | 2020 |
| A deep learning-based evolutionary model for short-term wind speed forecasting: A case study of the Lillgrund offshore wind farm M Neshat, MM Nezhad, E Abbasnejad, S Mirjalili, LB Tjernberg, ... Energy Conversion and Management 236, 114002, 2021 | 78 | 2021 |
| On the value of out-of-distribution testing: An example of goodhart's law D Teney, E Abbasnejad, K Kafle, R Shrestha, C Kanan, ... Advances in Neural Information Processing Systems 33, 407-417, 2020 | 76 | 2020 |
| Infinite variational autoencoder for semi-supervised learning M Ehsan Abbasnejad, A Dick, A van den Hengel Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 70 | 2017 |
| Counterfactual vision and language learning E Abbasnejad, D Teney, A Parvaneh, J Shi, A Hengel Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 69 | 2020 |
| Using synthetic data to improve facial expression analysis with 3d convolutional networks I Abbasnejad, S Sridharan, D Nguyen, S Denman, C Fookes, S Lucey Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 67 | 2017 |
| Reflection, refraction, and hamiltonian monte carlo H Mohasel Afshar, J Domke Advances in neural information processing systems 28, 2015 | 58 | 2015 |
| Unshuffling data for improved generalization in visual question answering D Teney, E Abbasnejad, A van den Hengel Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 57 | 2021 |
| A survey of the state of the art in learning the kernels ME Abbasnejad, D Ramachandram, R Mandava Knowledge and information systems 31, 193-221, 2012 | 57 | 2012 |
| Symbolic variable elimination for discrete and continuous graphical models S Sanner, E Abbasnejad Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 1954-1960, 2012 | 53 | 2012 |
| Wind turbine power output prediction using a new hybrid neuro-evolutionary method M Neshat, MM Nezhad, E Abbasnejad, S Mirjalili, D Groppi, A Heydari, ... Energy 229, 120617, 2021 | 52 | 2021 |
| 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 | 51 | 2016 |
| 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 | 48* | 2017 |
| 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 | 43 | 2013 |
| Label filters for large scale multilabel classification A Niculescu-Mizil, E Abbasnejad Artificial intelligence and statistics, 1448-1457, 2017 | 40 | 2017 |
| On the dynamic survival entropy M Abbasnejad, NR Arghami, S Morgenthaler, GRM Borzadaran Statistics & probability letters 80 (23-24), 1962-1971, 2010 | 39 | 2010 |
| Renyi entropy properties of order statistics M Abbasnejad, NR Arghami Communications in Statistics—Theory and Methods 40 (1), 40-52, 2010 | 39 | 2010 |
| Adaptive neuro-surrogate-based optimisation method for wave energy converters placement optimisation M Neshat, E Abbasnejad, Q Shi, B Alexander, M Wagner Neural Information Processing: 26th International Conference, ICONIP 2019 …, 2019 | 38 | 2019 |
Professor Javen Qinfeng ShiDirector for Probabilistic Graphical Model Group, University of AdelaideVerified email at adelaide.edu.au
