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Lorenzo Serina, Luca Putelli, Alfonso Emilio Gerevini and Ivan Serina
In recent years, many studies have been devoted to discovering the inner workings of Transformer-based models, such as BERT, for instance, attempting to identify what information is contained within them. However, little is known about how these models s...
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Pingshan Liu, Qi Liang and Zhangjing Cai
Aiming at addressing the inability of traditional web technologies to effectively respond to Winter-Olympics-related user questions containing multiple intentions, this paper explores a multi-model fusion-based multi-intention recognition model BCNBLMATT...
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Andrei Konstantinov, Lev Utkin and Vladimir Muliukha
This paper provides new models of the attention-based random forests called LARF (leaf attention-based random forest). The first idea behind the models is to introduce a two-level attention, where one of the levels is the ?leaf? attention, and the attent...
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Chuan Xu, Qi Zhang, Liye Mei, Xiufeng Chang, Zhaoyi Ye, Junjian Wang, Lang Ye and Wei Yang
Road crack detection is one of the important issues in the field of traffic safety and urban planning. Currently, road damage varies in type and scale, and often has different sizes and depths, making the detection task more challenging. To address this ...
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Emmanouil Koutoulakis, Louis Marage, Emmanouil Markodimitrakis, Leone Aubignac, Catherine Jenny, Igor Bessieres and Alain Lalande
MR-Linac is a recent device combining a linear accelerator with an MRI scanner. The improved soft tissue contrast of MR images is used for optimum delineation of tumors or organs at risk (OARs) and precise treatment delivery. Automatic segmentation of OA...
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Yaxi Su, Chaoran Cui and Hao Qu
Time series prediction has been studied for decades due to its potential in a wide range of applications. As one of the most popular technical indicators, moving average summarizes the overall changing patterns over a past period and is frequently used t...
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Séamus Lankford, Haithem Afli and Andy Way
In this study, a human evaluation is carried out on how hyperparameter settings impact the quality of Transformer-based Neural Machine Translation (NMT) for the low-resourced English?Irish pair. SentencePiece models using both Byte Pair Encoding (BPE) an...
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Junyoung Ko, Kyeongtak Song, Hoon Kim, Sae Yong Lee and Jihong Park
Landing on a single-leg without receiving direct visual information (e.g., not looking at the ground) may increase the risk of injury. We examined whether visual focus contributed to the changing lower-extremity dynamics and patellofemoral joint stress d...
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Alexandr Salenko,Petro Melnychuk,Evgeny Lashko,Olga Chencheva,Oleksiy Titarenko,Igor Derevianko,Alexandr Samusenko
Pág. 18 - 28
This paper addresses the issues relating to the use of 3-D printing tools in order to manufacture the structural elements of machines and apparatuses. The features of printing with the application of PLA-Carbon and PEEK (PEEK-Carbon) plastics have been a...
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Nandang Rukanda
Pág. 7 - 18
This study aims to describe the process of implementing parenting programs for learners? parents in Bani Shaleh Playing Group and application of learning outcomes. The research method used is descriptive qualitative, with the main data collection techniq...
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