Zobrazeno 1 - 10
of 304
pro vyhledávání: '"Chandra, Rohitash"'
In recent years, climate extremes such as floods have created significant environmental and economic hazards for Australia, causing damage to the environment and economy and losses of human and animal lives. An efficient method of forecasting floods
Externí odkaz:
http://arxiv.org/abs/2407.15882
During the COVID-19 pandemic, the news media coverage encompassed a wide range of topics that includes viral transmission, allocation of medical resources, and government response measures. There have been studies on sentiment analysis of social medi
Externí odkaz:
http://arxiv.org/abs/2405.13056
Supervised machine learning methods for geological mapping via remote sensing face limitations due to the scarcity of accurately labelled training data that can be addressed by unsupervised learning, such as dimensionality reduction and clustering. D
Externí odkaz:
http://arxiv.org/abs/2404.02180
Autor:
Haggerty, Hamish, Chandra, Rohitash
Cancer diagnosis is a well-studied problem in machine learning since early detection of cancer is often the determining factor in prognosis. Supervised deep learning achieves excellent results in cancer image classification, usually through transfer
Externí odkaz:
http://arxiv.org/abs/2401.00692
The revolution of natural language processing via large language models has motivated its use in multidisciplinary areas that include social sciences and humanities and more specifically, comparative religion. Sentiment analysis provides a mechanism
Externí odkaz:
http://arxiv.org/abs/2401.00689
Pedestrian trajectory prediction plays an important role in autonomous driving systems and robotics. Recent work utilizing prominent deep learning models for pedestrian motion prediction makes limited a priori assumptions about human movements, resul
Externí odkaz:
http://arxiv.org/abs/2309.09021
Drug repurposing (or repositioning) is the process of finding new therapeutic uses for drugs already approved by drug regulatory authorities (e.g., the Food and Drug Administration (FDA) and Therapeutic Goods Administration (TGA)) for other diseases.
Externí odkaz:
http://arxiv.org/abs/2306.13995
Anti-vaccine sentiments have been well-known and reported throughout the history of viral outbreaks and vaccination programmes. The COVID-19 pandemic had fear and uncertainty about vaccines which has been well expressed on social media platforms such
Externí odkaz:
http://arxiv.org/abs/2306.13797
Knowing which factors are significant in credit rating assignment leads to better decision-making. However, the focus of the literature thus far has been mostly on structured data, and fewer studies have addressed unstructured or multi-modal datasets
Externí odkaz:
http://arxiv.org/abs/2304.10740
Class imbalance (CI) in classification problems arises when the number of observations belonging to one class is lower than the other. Ensemble learning combines multiple models to obtain a robust model and has been prominently used with data augment
Externí odkaz:
http://arxiv.org/abs/2304.02858