| Deep learning for time series classification and extrinsic regression: A current survey NM Foumani, L Miller, CW Tan, GI Webb, G Forestier, M Salehi ACM Computing Surveys 56 (9), 1-45, 2024 | 93 | 2024 |
| Improving position encoding of transformers for multivariate time series classification NM Foumani, CW Tan, GI Webb, M Salehi Data Mining and Knowledge Discovery 38 (1), 22-48, 2024 | 69 | 2024 |
| Disjoint-cnn for multivariate time series classification SNM Foumani, CW Tan, M Salehi 2021 International Conference on Data Mining Workshops (ICDM), 760-769, 2021 | 15 | 2021 |
| A probabilistic topic model using deep visual word representation for simultaneous image classification and annotation SNM Foumani, A Nickabadi Journal of Visual Communication and Image Representation 59, 195-203, 2019 | 12 | 2019 |
| Eeg2rep: enhancing self-supervised EEG representation through informative masked inputs N Mohammadi Foumani, G Mackellar, S Ghane, S Irtza, N Nguyen, ... Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 8 | 2024 |
| Series2vec: similarity-based self-supervised representation learning for time series classification NM Foumani, CW Tan, GI Webb, H Rezatofighi, M Salehi Data Mining and Knowledge Discovery 38 (4), 2520-2544, 2024 | 6 | 2024 |
| Measuring affective and motivational states as conditions for cognitive and metacognitive processing in self-regulated learning M Raković, Y Li, NM Foumani, M Salehi, L Kuhlmann, G Mackellar, ... Proceedings of the 14th Learning Analytics and Knowledge Conference, 701-712, 2024 | 3 | 2024 |
| Highly Scalable Time Series Classification for Very Large Datasets A Dempster, CW Tan, L Miller, NM Foumani, DF Schmidt, GI Webb International Workshop on Advanced Analytics and Learning on Temporal Data …, 2024 | | 2024 |
Mahsa SalehiSenior Lecturer, Monash UniversityE-mail megerősítve itt: monash.edu