RNA Virus Discovery Sheds Light on the Virome of a Major Vineyard Pest, the European Grapevine Moth (<i>Lobesia botrana</i>) by Humberto Debat, Sebastian Gomez-Talquenca, Nicolas Bejerman

“…Here, we employ high-throughput sequencing data mining to comprehensively characterize the <i>L. botrana</i> virome, revealing novel and diverse RNA viruses. …”
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A new method of distracting attention: Is it effective for pain and fear during phlebotomy in children? by Mine Aydemir Sahin, Yeliz Cigerci, Hamide Nur Cevik Ozdemir

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Network Representation Based on the Joint Learning of Three Feature Views by Zhonglin Ye, Haixing Zhao, Ke Zhang, Zhaoyang Wang, Yu Zhu

“…Based on the above two optimization approaches, we propose a novel network representation learning algorithm, Network Representation learning algorithm based on the joint optimization of Three Features (TFNR). …”
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DPSTCN: Dynamic Pattern-Aware Spatio-Temporal Convolutional Networks for Traffic Flow Forecasting by Zeping Dou, Danhuai Guo

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TepiSense: A Social Computing-Based Real-Time Epidemic Surveillance System Using Artificial Intelligence by Bilal Tahir, Muhammad Amir Mehmood

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Developing a Pattern Discovery Method in Time Series Data and Its GPU Acceleration by Huanzhou Zhu, Zhuoer Gu, Haiming Zhao, Keyang Chen, Chang-Tsun Li, Ligang He

“…Many time series data mining and analytical problems can be solved by the DTW algorithm. …”
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Use of Graph Database for the Integration of Heterogeneous Biological Data by Byoung-Ha Yoon, Seon-Kyu Kim, Seon-Young Kim

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A Novel Mathematical Approach to Define the Genes/SNPs Conferring Risk or Protection in Sporadic Amyotrophic Lateral Sclerosis Based on Auto Contractive Map Neural Networks and Gra... by Massimo Buscema, Silvana Penco, Enzo Grossi

“…In this pilot case-control study single nucleotide polymorphism (SNP) in several genes has been evaluated with a novel data mining approach based on an AutoCM. We have divided the ALS dataset into two dataset: Cases and Control dataset; we have applied to each one, independently, the AutoCM algorithm. …”
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Improving drug repositioning with negative data labeling using large language models by Milan Picard, Mickael Leclercq, Antoine Bodein, Marie Pier Scott-Boyer, Olivier Perin, Arnaud Droit

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Congenital Portal Vein Aneurysm Associated with Peliosis Hepatis and Intestinal Lymphangiectasia by Zeynel Mungan, Binnur Pinarbasi, Baris Bakir, Mine Gulluoglu, Bulent Baran, Filiz Akyuz, Kadir Demir, Sabahattin Kaymakoglu

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MultiChem: predicting chemical properties using multi-view graph attention network by Heesang Moon, Mina Rho

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A Brief Review of Network Embedding by Yaojing Wang, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu

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ZenLDA: Large-Scale Topic Model Training on Distributed Data-Parallel Platform by Bo Zhao, Hucheng Zhou, Guoqiang Li, Yihua Huang

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Recommendation System with Biclustering by Jianjun Sun, Yu Zhang

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A Semi-Supervised Attention Model for Identifying Authentic Sneakers by Yang Yang, Nengjun Zhu, Yifeng Wu, Jian Cao, Dechuan Zhan, Hui Xiong

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Personalized Federated Learning for Heterogeneous Residential Load Forecasting by Xiaodong Qu, Chengcheng Guan, Gang Xie, Zhiyi Tian, Keshav Sood, Chaoli Sun, Lei Cui

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Multi-Scale Feature Fusion Model for Bridge Appearance Defect Detection by Rong Pang, Yan Yang, Aiguo Huang, Yan Liu, Peng Zhang, Guangwu Tang

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Effective Density-Based Clustering Algorithms for Incomplete Data by Zhonghao Xue, Hongzhi Wang

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Relation Classification via Recurrent Neural Network with Attention and Tensor Layers by Runyan Zhang, Fanrong Meng, Yong Zhou, Bing Liu

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A Mini-Review of Machine Learning in Big Data Analytics: Applications, Challenges, and Prospects by Isaac Kofi Nti, Juanita Ahia Quarcoo, Justice Aning, Godfred Kusi Fosu

“…However, the high number of free BDA tools, platforms, and data mining tools makes it challenging to select the appropriate one for the right task. …”
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