| Learning a neural-network-based representation for open set recognition M Hassen, PK Chan Proceedings of the 2020 SIAM International Conference on Data Mining, 154-162, 2020 | 139 | 2020 |
| Scalable function call graph-based malware classification M Hassen, PK Chan Proceedings of the Seventh ACM on Conference on Data and Application …, 2017 | 110 | 2017 |
| Malware Classification Using Static Analysis Based Features M Hassen, MM Carvalho, PK Chan IEEE Symposium Series on Computational Intelligence, SSCI 2017, 734-740, 2017 | 60 | 2017 |
| Learning to Identify Known and Unknown Classes: A Case Study in Open World Malware Classification M Hassen, PK Chan Proceedings of the Thirty-First International FLAIRS Conference, 26-31, 2018 | 4 | 2018 |
| Task selection for automl system evaluation J Lorraine, N Anderson, C Lee, Q De Laroussilhe, M Hassen arXiv preprint arXiv:2208.12754, 2022 | 2 | 2022 |
| Unsupervised open set recognition using adversarial autoencoders M Hassen, PK Chan 2020 19th IEEE International Conference on Machine Learning and Applications …, 2020 | 2 | 2020 |
| Machine Learning for Classifying Malware in Closed-set and Open-set Scenarios MS Hassen | 1 | 2018 |
| Platform for Automatic Production of Machine Learning Models and Deployment Pipelines A Skerry-Ryan, QL de Laroussilhe, RR Yang, CM Riggi, C Lee, ... US Patent App. 18/012,387, 2024 | | 2024 |
