| UCL: Unsupervised Curriculum Learning for water body classification from remote sensing imagery N Abid, M Shahzad, MI Malik, U Schwanecke, A Ulges, G Kovács, ... International Journal of Applied Earth Observation and Geoinformation 105 …, 2021 | 39 | 2021 |
| DeepParse: A trainable postal address parser N Abid, A ul Hasan, F Shafait 2018 Digital Image Computing: Techniques and Applications (DICTA), 1-8, 2018 | 27* | 2018 |
| Sm {\aa} prat: Dialogpt for natural language generation of swedish dialogue by transfer learning T Adewumi, R Brännvall, N Abid, M Pahlavan, SS Sabry, F Liwicki, ... arXiv preprint arXiv:2110.06273, 2021 | 19 | 2021 |
| Burnt forest estimation from sentinel-2 imagery of australia using unsupervised deep learning N Abid, MI Malik, M Shahzad, F Shafait, H Ali, MM Ghaffar, C Weis, ... 2021 Digital Image Computing: Techniques and Applications (DICTA), 01-08, 2021 | 17 | 2021 |
| Hat5: Hate language identification using text-to-text transfer transformer SS Sabry, T Adewumi, N Abid, G Kovács, F Liwicki, M Liwicki 2022 International Joint Conference on Neural Networks (IJCNN), 1-7, 2022 | 15 | 2022 |
| T5 for hate speech, augmented data, and ensemble T Adewumi, SS Sabry, N Abid, F Liwicki, M Liwicki Sci 5 (4), 37, 2023 | 13 | 2023 |
| Bimodal electroencephalography-functional magnetic resonance imaging dataset for inner-speech recognition F Simistira Liwicki, V Gupta, R Saini, K De, N Abid, S Rakesh, ... Scientific Data 10 (1), 378, 2023 | 12 | 2023 |
| A systematic performance analysis of deep perceptual loss networks: Breaking transfer learning conventions GG Pihlgren, K Nikolaidou, PC Chhipa, N Abid, R Saini, F Sandin, ... arXiv preprint arXiv:2302.04032, 2023 | 9 | 2023 |
| ul Hasan, A., Shafait, F.: DeepParse: a trainable postal address parser N Abid | 5 | 2018 |
| Performance of data-driven inner speech decoding with same-task EEG-fMRI data fusion and bimodal models H Wilson, S Wellington, FS Liwicki, V Gupta, R Saini, K De, N Abid, ... arXiv preprint arXiv:2306.10854, 2023 | 3 | 2023 |
| Ucl: unsupervised curriculum learning for utility pole detection from aerial imagery N Abid, G Kovács, J Wedin, NA Paszkowsky, F Shafait, M Liwicki 2022 International Conference on Digital Image Computing: Techniques and …, 2022 | 3 | 2022 |
| Seagrass classification using unsupervised curriculum learning (UCL) N Abid, MK Noman, G Kovács, SMS Islam, T Adewumi, P Lavery, ... Ecological Informatics 83, 102804, 2024 | 2 | 2024 |
| Creating and leveraging a synthetic dataset of cloud optical thickness measures for cloud detection in msi A Pirinen, N Abid, NA Paszkowsky, TO Timoudas, R Scheirer, ... Remote Sensing 16 (4), 694, 2024 | 2 | 2024 |
| Multi-UCL: multi-class unsupervised curriculum learning for image scene classification case study: earth observation N Abid, M Eman, G Kovács, F Shafait, M Liwicki Authorea Preprints, 2024 | 1 | 2024 |
| Deep learning for geo-referenced data: Case study: Earth observation N Abid Luleå tekniska universitet, 2021 | 1 | 2021 |
| Improving inner speech decoding by hybridisation of bimodal EEG and fMRI data S Wellington, H Wilson, FS Liwicki, V Gupta, R Saini, K De, N Abid, ... 2024 46th Annual International Conference of the IEEE Engineering in …, 2024 | | 2024 |
| Unsupervised Curriculum Learning Case Study: Earth Observation UCL4EO N Abid Luleå University of Technology, 2024 | | 2024 |
| UCL: Unsupervised Curriculum Learning for Image Classification N Abid, T Hemback, G Kovacs, F Shafait, M Liwicki | | 2024 |
| Bimodal pilot study on inner speech decoding reveals the potential of combining EEG and fMRI F Simistira Liwicki, V Gupta, R Saini, K De, N Abid, S Rakesh, ... | | 2022 |
| Unsupervised Curriculum Learning N Abid | | |