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2020 – today
- 2024
[c3]Nannan Huang, Haytham Fayek, Xiuzhen Zhang:
Bias in Opinion Summarisation from Pre-training to Adaptation: A Case Study in Political Bias. EACL (1) 2024: 1041-1055- [i2]Nannan Huang, Haytham Fayek, Xiuzhen Zhang:
Bias in Opinion Summarisation from Pre-training to Adaptation: A Case Study in Political Bias. CoRR abs/2402.00322 (2024) - 2023
- [j3]Kathiravan Thangavel
, Dario Spiller, Roberto Sabatini, Stefania Amici, Sarathchandrakumar Thottuchirayil Sasidharan, Haytham Fayek, Pier Marzocca:
Autonomous Satellite Wildfire Detection Using Hyperspectral Imagery and Neural Networks: A Case Study on Australian Wildfire. Remote. Sens. 15(3): 720 (2023) - [j2]Kathiravan Thangavel, Dario Spiller, Roberto Sabatini, Stefania Amici, Nicolas Longépé, Pablo A. Servidia, Pier Marzocca, Haytham Fayek, Luigi Ansalone:
Trusted Autonomous Operations of Distributed Satellite Systems Using Optical Sensors. Sensors 23(6): 3344 (2023) - [j1]Sio-Iong Ao, Haytham Fayek:
Continual Deep Learning for Time Series Modeling. Sensors 23(16): 7167 (2023) - [c2]Rinaldo Gagiano, Haytham Fayek, Maria Myung-Hee Kim, Jennifer Biggs, Xiuzhen Zhang:
IberLEF 2023 AuTexTification: Automated Text Identification Shared Task - Team OD-21. IberLEF@SEPLN 2023 - [c1]Nannan Huang, Lin Tian, Haytham Fayek, Xiuzhen Zhang:
Examining Bias in Opinion Summarisation through the Perspective of Opinion Diversity. WASSA@ACL 2023: 149-161 - [i1]Nannan Huang, Lin Tian, Haytham Fayek, Xiuzhen Zhang:
Examining Bias in Opinion Summarisation Through the Perspective of Opinion Diversity. CoRR abs/2306.04424 (2023)
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