J Zhao - Mobile Information Systems, 2022 - Wiley Online Library
… the EVA unsupervisedlearning model to evaluate the company’… evaluation system based on the EVA unsupervisedlearning … evaluation system based on EVA unsupervisedlearning …
SK Mahjour, LOM da Silva, LAA Meira… - Journal of Petroleum …, 2022 - Elsevier
… processed by numerical simulators to evaluate geological uncertainty during the decision-… In this study, unsupervised machine learning (UML) is applied by considering different (1) …
J Yoo, J Park, M Ha, C Mae Lagmay Darang - SAGE Open, 2024 - journals.sagepub.com
… As the aim of this study included evaluating the effectiveness of the SAAI system, which scores students’ constructed responses in unsupervisedlearning, we collected students’ …
W Zhuang, X Gan, Y Wen… - Proceedings of the …, 2021 - openaccess.thecvf.com
… In this paper, we propose a new federated unsupervised representation learning framework, FedU, to learn generic … We evaluate the representation learned from FedU using linear …
Y Gao, W Zhao, S Eger - arXiv preprint arXiv:2005.03724, 2020 - arxiv.org
… for evaluating multidocument summaries, we investigate unsupervisedevaluation methods, which … In particular, we focus on evaluating the relevance (Peyrard, 2019) of multi-document …
… an unsupervised method for evaluating the performance of a clustering method [11]. Since the Silhouette index does not need a training set to evaluate … index to evaluate the clustering …
… methods, we propose a rigorous evaluation protocol and apply it to … The new evaluation shows that some methods, previously … We hope that the updated evaluation of anomaly detection …
… This paper studied and analyzed the impact that combinations of unsupervisedlearning evaluation metrics have in ranking the members of an energy community and, consequently, on …
… Therefore, this article exposes three unsupervised machine learning models based on clustering … After evaluation, this paper presents a case of heterogeneous cybersecurity devices, …