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05/26/2023
Coping with low data availability for social media crisis message categorisation
During crisis situations, social media allows people to quickly share in...
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02/24/2023
STA: Self-controlled Text Augmentation for Improving Text Classifications
Despite recent advancements in Machine Learning, many tasks still involv...
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12/07/2021
UCD-CS at TREC 2021 Incident Streams Track
In recent years, the task of mining important information from social me...
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10/15/2021
Crisis Domain Adaptation Using Sequence-to-sequence Transformers
User-generated content (UGC) on social media can act as a key source of ...
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10/15/2021
Transformer-based Multi-task Learning for Disaster Tweet Categorisation
Social media has enabled people to circulate information in a timely fas...
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02/26/2021
Multi-task transfer learning for finding actionable information from crisis-related messages on social media
The Incident streams (IS) track is a research challenge aimed at finding...
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10/28/2020
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
With the unprecedented developments in deep learning, automatic segmenta...
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09/21/2020
UCD-CS at W-NUT 2020 Shared Task-3: A Text to Text Approach for COVID-19 Event Extraction on Social Media
In this paper, we describe our approach in the shared task: COVID-19 eve...
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04/20/2020
A Generalized Dimming Control Scheme for Visible Light Communications
A novel dimming control scheme, termed as generalized dimming control (G...
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07/13/2019
Adaptive Context Encoding Module for Semantic Segmentation
The object sizes in images are diverse, therefore, capturing multiple sc...
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02/01/2019
Generative Smoke Removal
In minimally invasive surgery, the use of tissue dissection tools causes...
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12/27/2018
Can Image Enhancement be Beneficial to Find Smoke Images in Laparoscopic Surgery?
Laparoscopic surgery has a limited field of view. Laser ablation in a la...
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03/22/2018
