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Titlebook: Information Management and Big Data; 7th Annual Internati Juan Antonio Lossio-Ventura,Jorge Carlos Valverde- Conference proceedings 2021 Sp

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樓主: corrode
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發(fā)表于 2025-3-23 09:57:44 | 只看該作者
12#
發(fā)表于 2025-3-23 13:58:18 | 只看該作者
Multi-strategic Approach for Author Name Disambiguation in Bibliography Repositoriesrgy, an online scientific social network analysis artifact. The proposed approach outperforms the baseline with a precision of 0.8867, recall of 1, and F-measure of 0.9399, considering a Brazilian graduate program case.
13#
發(fā)表于 2025-3-23 19:20:07 | 只看該作者
1865-0929 in Lima, Peru, in October 2020.*.The 32 revised full papers and 7 revised short papers presented were carefully reviewed and selected from 122 submissions. The papers address topics such as natural language processing and text mining; machine learning; image processing; social networks; data-driven
14#
發(fā)表于 2025-3-24 01:32:21 | 只看該作者
Comparative Analysis of Question Answering Models for HRI Tasks with NAO in Spanishtate-of-the-art pre-trained models like BERT or XLNet, but also multilingual ones like m-BERT or XLM. We train them with a new Spanish dataset translated from the original SQuAD getting our best results with XLM-R, obtaining 68.1 F1 and 45.3 EM in the MLQA test dataset, and, 77.9 F1 and 58.3 EM for
15#
發(fā)表于 2025-3-24 06:10:34 | 只看該作者
16#
發(fā)表于 2025-3-24 09:20:08 | 只看該作者
17#
發(fā)表于 2025-3-24 14:37:18 | 只看該作者
Machine Learning Techniques for Speech Emotion Classificationhitecture. Finally, for the third stage we have trained an end-to-end CNN network (SampleCNN) at the sample level. This last approach does not require features engineering, but directly the audio signal. In this stage, we achieve a precision of 81.7%. The experiments show that the results achieved a
18#
發(fā)表于 2025-3-24 16:52:34 | 只看該作者
19#
發(fā)表于 2025-3-24 19:07:43 | 只看該作者
Two-Class Fuzzy Clustering Ensemble Approach Based on a Constraint on Fuzzy Membershipsoning clustering algorithms are commonly used as a consensus function, in this study, achieved row vector is given to K-means and FCM to generate final clusters. Several datasets have been used in order to evaluate the performance of the proposed model in comparison with different methods. Specially
20#
發(fā)表于 2025-3-24 23:51:41 | 只看該作者
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