György Kovács

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 4

Top Topics

Synthetic Datasets

Supervised Learning

Top Venues

FIRE (Working Notes)

Publications

Aleksis Pirinen, Nosheen Abid, Nuria Agues Paszkowsky, Thomas Ohlson Timoudas, Ronald Scheirer, Chiara Ceccobello, György Kovács, Anders Persson
Creating and Leveraging a Synthetic Dataset of Cloud Optical Thickness Measures for Cloud Detection in MSI. Remote. Sens. 16 (4) (2024)
Sana Sabah Al-Azzawi, György Kovács, Filip Nilsson, Tosin P. Adewumi, Marcus Liwicki
NLP-LTU at SemEval-2023 Task 10: The Impact of Data Augmentation and Semi-Supervised Learning Techniques on Text Classification Performance on an Imbalanced Dataset. SemEval@ACL (2023)
Aleksis Pirinen, Nosheen Abid, Nuria Agues Paszkowsky, Thomas Ohlson Timoudas, Ronald Scheirer, Chiara Ceccobello, György Kovács, Anders Persson
Creating and Benchmarking a Synthetic Dataset for Cloud Optical Thickness Estimation. CoRR (2023)
Filip Nilsson, Sana Sabah Al-Azzawi, György Kovács
Leveraging Sentiment Data for the Detection of Homophobic/Transphobic Content in a Multi-Task, Multi-Lingual Setting Using Transformers. FIRE (Working Notes) (2022)