Nosheen Abid

According to our database, Nosheen Abid authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Creating and Leveraging a Synthetic Dataset of Cloud Optical Thickness Measures for Cloud Detection in MSI.

Aleksis Pirinen, Nosheen Abid, Nuria Agues Paszkowsky, Thomas Ohlson Timoudas, Ronald Scheirer, Chiara Ceccobello, György Kovács, Anders Persson

Remote. Sens., February, 2024

Unsupervised Curriculum Learning Case Study: Earth Observation UCL4EO.

Nosheen Abid

PhD thesis, 2024

Seagrass classification using unsupervised curriculum learning (UCL).

Nosheen Abid, Md Kislu Noman, György Kovács, Syed Mohammed Shamsul Islam, Tosin P. Adewumi, Paul Lavery, Faisal Shafait, Marcus Liwicki

Ecol. Informatics, 2024

Improving inner speech decoding by hybridisation of bimodal EEG and fMRI data.

Scott Wellington, Holly Wilson, Foteini Simistira Liwicki, Vibha Gupta, Rajkumar Saini, Kanjar De, Nosheen Abid, Sumit Rakesh, Johan Gunnar Eriksson, Oliver Watts, Xi Chen, Damien Coyle, Mohammad Golbabaee, Michael J. Proulx, Marcus Liwicki, Eamonn O'Neill, Benjamin Metcalfe

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023

Creating and Benchmarking a Synthetic Dataset for Cloud Optical Thickness Estimation.

Aleksis Pirinen, Nosheen Abid, Nuria Agues Paszkowsky, Thomas Ohlson Timoudas, Ronald Scheirer, Chiara Ceccobello, György Kovács, Anders Persson

CoRR, 2023

Performance of data-driven inner speech decoding with same-task EEG-fMRI data fusion and bimodal models.

Holly Wilson, Scott Wellington, Foteini Simistira Liwicki, Vibha Gupta, Rajkumar Saini, Kanjar De, Nosheen Abid, Sumit Rakesh, Johan Gunnar Eriksson, Oliver Watts, Xi Chen, Mohammad Golbabaee, Michael J. Proulx, Marcus Liwicki, Eamonn O'Neill, Benjamin Metcalfe

CoRR, 2023

A Systematic Performance Analysis of Deep Perceptual Loss Networks Breaks Transfer Learning Conventions.

Gustav Grund Pihlgren, Konstantina Nikolaidou, Prakash Chandra Chhipa, Nosheen Abid, Rajkumar Saini, Fredrik Sandin, Marcus Liwicki

CoRR, 2023

2022

T5 for Hate Speech, Augmented Data and Ensemble.

Tosin P. Adewumi, Sana Sabah Sabry, Nosheen Abid, Foteini Liwicki, Marcus Liwicki

CoRR, 2022

Småprat: DialoGPT for Natural Language Generation of Swedish Dialogue by Transfer Learning.

Tosin P. Adewumi, Rickard Brännvall, Nosheen Abid, Maryam Pahlavan, Sana Sabah Sabry, Foteini Liwicki, Marcus Liwicki

Proceedings of the 2022 Northern Lights Deep Learning Workshop, 2022

HaT5: Hate Language Identification using Text-to-Text Transfer Transformer.

Sana Sabah Sabry, Tosin P. Adewumi, Nosheen Abid, György Kovács, Foteini Liwicki, Marcus Liwicki

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

UCL: Unsupervised Curriculum Learning for water body classification from remote sensing imagery.

Nosheen Abid, Muhammad Shahzad, Muhammad Imran Malik, Ulrich Schwanecke, Adrian Ulges, György Kovács, Faisal Shafait

Int. J. Appl. Earth Obs. Geoinformation, 2021

Burnt Forest Estimation from Sentinel-2 Imagery of Australia using Unsupervised Deep Learning.

Nosheen Abid, Muhammad Imran Malik, Muhammad Shahzad, Faisal Shafait, Haider Ali, Muhammad Mohsin Ghaffar, Christian Weis, Norbert Wehn, Marcus Liwicki

Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

2018

DeepParse: A Trainable Postal Address Parser.

Nosheen Abid, Adnan Ul-Hasan, Faisal Shafait

Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018