Zobrazeno 1 - 10
of 142
pro vyhledávání: '"Yun Sing Koh"'
Publikováno v:
Earth and Space Science, Vol 11, Iss 3, Pp n/a-n/a (2024)
Abstract The variability of sea surface temperatures (SSTs) is crucial in climate dynamics, influencing marine ecosystems and human activities. This study leverages graph neural networks (GNNs), specifically a GraphSAGE model, to forecast SSTs and th
Externí odkaz:
https://doaj.org/article/fd47beec21c945d9b157202510c94a1e
Autor:
Sijie Zhuo, Lucas Sherlock, Gillian Dobbie, Yun Sing Koh, Giovanni Russello, Danielle Lottridge
Publikováno v:
Sensors, Vol 20, Iss 3, p 655 (2020)
By developing awareness of smartphone activities that the user is performing on their smartphone, such as scrolling feeds, typing and watching videos, we can develop application features that are beneficial to the users, such as personalization. It i
Externí odkaz:
https://doaj.org/article/07348a58ec354c9ba34e36513105bc4e
Publikováno v:
PLoS ONE, Vol 10, Iss 7, p e0130968 (2015)
Recommender systems are highly vulnerable to shilling attacks, both by individuals and groups. Attackers who introduce biased ratings in order to affect recommendations, have been shown to negatively affect collaborative filtering (CF) algorithms. Pr
Externí odkaz:
https://doaj.org/article/a71cca615b624217a6a92447fe878e1c
Publikováno v:
ACM Transactions on Knowledge Discovery from Data. 17:1-36
Learning from streaming data is challenging as the distribution of incoming data may change over time, a phenomenon known as concept drift. The predictive patterns, or experience learned under one distribution may become irrelevant as conditions chan
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:6746-6754
Conditional Density Estimation (CDE) has wide-reaching applicability to various real-world problems, such as spatial density estimation and environmental modelling. CDE estimates the probability density of a random variable rather than a single value
Publikováno v:
ACM Transactions on Knowledge Discovery from Data; Sep2023, Vol. 17 Issue 8, p1-36, 36p
Publikováno v:
Empirical Software Engineering. 28
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783031333767
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3216c9c85353c31d078e82b7f49dd3cf
https://doi.org/10.1007/978-3-031-33377-4_17
https://doi.org/10.1007/978-3-031-33377-4_17
Publikováno v:
2022 IEEE International Conference on Data Mining (ICDM).
Publikováno v:
2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA).