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Titlebook: Data Mining; 20th Australasian Co Laurence A. F. Park,Heitor Murilo Gomes,Simeon Sim Conference proceedings 2022 The Editor(s) (if applicab

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31#
發(fā)表于 2025-3-26 22:24:30 | 只看該作者
32#
發(fā)表于 2025-3-27 03:29:30 | 只看該作者
33#
發(fā)表于 2025-3-27 09:02:40 | 只看該作者
Arkato Gendole Anto,Fer Coendersits. Moreover, we show that discrimination and characterisation rules are also well communicated using parallel coordinates. We confirm the merits of our approach by reporting results from a large usability study.
34#
發(fā)表于 2025-3-27 09:27:02 | 只看該作者
New Ways of Category Managementa was imbalanced. Specifically, F1 scores for LoGAN models were .80% for up to 20% of missing data rates in the temporal component of the dataset and .60% for missing rates from 40–100%. Non-deep generative models showed low performance with the introduction of missing data rates.
35#
發(fā)表于 2025-3-27 14:06:57 | 只看該作者
Jim Duffy,Peter Koudal,Stephen Prattclinical resources by avoiding unnecessary manual assessments. The objective of this paper is to propose an automatic initial frailty assessment approach which can quickly identify potential patients that require further frailty assessment by using patient’s relevant clinical notes to answer Tillbur
36#
發(fā)表于 2025-3-27 19:05:02 | 只看該作者
Generative Tools for Co-designingonsumer preference prediction. The experimental results show the proposed model achieves high prediction accuracy. Beyond the prediction model, as case studies, we proposed and validated three important attractiveness factors: specialised terminology, sentiment, and metaphor. The results suggest tha
37#
發(fā)表于 2025-3-27 23:07:36 | 只看該作者
38#
發(fā)表于 2025-3-28 02:59:40 | 只看該作者
Qingliang Zhang,Xinyue Shu,Quanwang Wu relies on taking the cosine similarity of the sentence embeddings of the original and transferred sentence to determine if the content of the sentence, its meaning, hasn’t changed. This assumes however that such sentence embeddings are style invariant, which can result in inaccurate measurements of
39#
發(fā)表于 2025-3-28 07:27:04 | 只看該作者
Song Guo,Xiaofei Liao,Yanmin Zhur, conventional topic models fail to capture how such topics change as the collections evolve. To amend this, various researchers have proposed dynamic versions which are able to extract sequences of topics from timestamped document collections. Moreover, a recently-proposed model, the dynamic embed
40#
發(fā)表于 2025-3-28 12:56:59 | 只看該作者
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