孤独无助
发表于 2025-3-23 09:57:44
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争吵加
发表于 2025-3-23 13:58:18
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.
caldron
发表于 2025-3-23 19:20:07
1865-0929in 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
elastic
发表于 2025-3-24 01:32:21
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
originality
发表于 2025-3-24 06:10:34
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裂口
发表于 2025-3-24 09:20:08
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apropos
发表于 2025-3-24 14:37:18
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
reperfusion
发表于 2025-3-24 16:52:34
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Demonstrate
发表于 2025-3-24 19:07:43
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
束缚
发表于 2025-3-24 23:51:41
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