| Visual recognition by counting instances: A multi-instance cardinality potential kernel H Hajimirsadeghi, W Yan, A Vahdat, G Mori Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 104 | 2015 |
| Multiobjective invasive weed optimization: Application to analysis of Pareto improvement models in electricity markets AH Nikoofard, H Hajimirsadeghi, A Rahimi-Kian, C Lucas Applied Soft Computing 12 (1), 100-112, 2012 | 80 | 2012 |
| Adapting grad-cam for embedding networks L Chen, J Chen, H Hajimirsadeghi, G Mori proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 78 | 2020 |
| A hybrid IWO/PSO algorithm for fast and global optimization H Hajimirsadeghi, C Lucas Ieee Eurocon 2009, 1964-1971, 2009 | 74 | 2009 |
| Discrete invasive weed optimization algorithm: application to cooperative multiple task assignment of UAVs MR Ghalenoei, H Hajimirsadeghi, C Lucas Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held …, 2009 | 66 | 2009 |
| Multimedia event detection with multimodal feature fusion and temporal concept localization S Oh, S McCloskey, I Kim, A Vahdat, KJ Cannons, H Hajimirsadeghi, ... Machine vision and applications 25, 49-69, 2014 | 64 | 2014 |
| Context-aware feature embedding and anomaly detection of sequential log data using deep recurrent neural networks H Hajimirsadeghi, GT Zhou, A Brownsword, N Agarwal, P Chandrashekar, ... US Patent 11,218,498, 2022 | 57 | 2022 |
| SRI-Sarnoff AURORA system at TRECVID 2012: Multimedia event detection and recounting H Cheng, J Liu, S Ali, O Javed, Q Yu | 44 | 2012 |
| Discovering human interactions in videos with limited data labeling M Khodabandeh, A Vahdat, GT Zhou, H Hajimirsadeghi, ... Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 28 | 2015 |
| Malicious activity detection by cross-trace analysis and deep learning GT Zhou, H Hajimirsadeghi, A Brownsword, S Wray, C Schelp, ... US Patent 11,451,565, 2022 | 26 | 2022 |
| Learning to detect blue–white structures in dermoscopy images with weak supervision A Madooei, MS Drew, H Hajimirsadeghi IEEE journal of biomedical and health informatics 23 (2), 779-786, 2018 | 23 | 2018 |
| Multiple instance learning by discriminative training of markov networks H Hajimirsadeghi, J Li, G Mori, M Zaki, T Sayed arXiv preprint arXiv:1309.6833, 2013 | 22 | 2013 |
| Malicious activity detection by cross-trace analysis and deep learning JF Peinador, MF Gomez, GT Zhou, H Hajimirsadeghi, A Brownsword, ... US Patent 11,082,438, 2021 | 20 | 2021 |
| Graph generation with variational recurrent neural network SY Su, H Hajimirsadeghi, G Mori arXiv preprint arXiv:1910.01743, 2019 | 19 | 2019 |
| Towards better selective classification L Feng, MO Ahmed, H Hajimirsadeghi, A Abdi arXiv preprint arXiv:2206.09034, 2022 | 18 | 2022 |
| Multi-instance classification by max-margin training of cardinality-based markov networks H Hajimirsadeghi, G Mori IEEE transactions on pattern analysis and machine intelligence 39 (9), 1839-1852, 2016 | 18 | 2016 |
| Variational selective autoencoder: Learning from partially-observed heterogeneous data Y Gong, H Hajimirsadeghi, J He, T Durand, G Mori International Conference on Artificial Intelligence and Statistics, 2377-2385, 2021 | 17 | 2021 |
| Cooperative coevolutionary invasive weed optimization and its application to Nash equilibrium search in electricity markets H Hajimirsadeghi, A Ghazanfari, A Rahimi-Kian, C Lucas 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC …, 2009 | 17 | 2009 |
| Latent bottlenecked attentive neural processes L Feng, H Hajimirsadeghi, Y Bengio, MO Ahmed arXiv preprint arXiv:2211.08458, 2022 | 15 | 2022 |
| Learning ensembles of potential functions for structured prediction with latent variables H Hajimirsadeghi, G Mori Proceedings of the IEEE international conference on computer vision, 4059-4067, 2015 | 14 | 2015 |
