| 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 | 28 | 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 | 23* | 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 | 13 | 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 | 12 | 2022 |
| 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 | 12 | 2021 |
| T5 for Hate Speech, Augmented Data, and Ensemble T Adewumi, SS Sabry, N Abid, F Liwicki, M Liwicki Sci 5 (4), 37, 2023 | 7 | 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 | 1 | 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 | 1 | 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 | 1 | 2022 |
| Bimodal electroencephalography-functional magnetic resonance imaging dataset for inner-speech recognition FS Liwicki, V Gupta, R Saini, K De, N Abid, S Rakesh, S Wellington, ... bioRxiv, 2022.05. 24.492109, 2022 | 1 | 2022 |
| 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 | | 2024 |
| Creating and Benchmarking a Synthetic Dataset for Cloud Optical Thickness Estimation A Pirinen, N Abid, NA Paszkowsky, TO Timoudas, R Scheirer, ... arXiv preprint arXiv:2311.14024, 2023 | | 2023 |
| 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 | | 2023 |
| A Systematic Performance Analysis of Deep Perceptual Loss Networks: Breaking Transfer Learning Conventions G Grund Pihlgren, K Nikolaidou, PC Chhipa, N Abid, R Saini, F Sandin, ... arXiv e-prints, arXiv: 2302.04032, 2023 | | 2023 |
| Creating and Benchmarking a Synthetic Dataset for Machine Learning-Based Cloud Optical Thickness Estimation A Pirinen, N Abid, N Agues Paszkowsky, T Ohlson Timoudas, R Scheirer, ... EUMETSAT Meteorological Satellite Conference, 2023., 2023 | | 2023 |
| HaT5: Hate Language Identification using Text-to-Text Transfer Transformer S Sabah Sabry, T Adewumi, N Abid, G Kovacs, F Liwicki, M Liwicki arXiv e-prints, arXiv: 2202.05690, 2022 | | 2022 |
| 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 |
| Deep Learning for Geo-referenced Data: Case Study: Earth Observation N Abid Luleå tekniska universitet, 2021 | | 2021 |
| Seagrass Classification Using Unsupervised Curriculum Learning (Ucl) N Abid, MK Noman, G Kavacs, T Adewumi, P Lavery, F Shafait, M Liwicki Available at SSRN 4684221, 0 | | |
