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George Tzougas and Konstantin Kutzkov
We developed a methodology for the neural network boosting of logistic regression aimed at learning an additional model structure from the data. In particular, we constructed two classes of neural network-based models: shallow?dense neural networks with ...
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Reinis Cimurs, Vilnis Turkovs, Martins Banis and Aleksandrs Korsunovs
For mobile cleaning robot navigation, it is crucial to not only base the motion decisions on the ego agent?s capabilities but also to take into account other agents in the shared environment. Therefore, in this paper, we propose a deep reinforcement lear...
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Zhaoxu Peng, Minghui Liu, Tingmei Li, Wangcheng Zhang, Yanpeng Wang, Luji Yu and Jiantao Ji
Given increasingly prominent environmental issues, there is a pressing need to satisfy more stringent emission standards for wastewater treatment plants (WWTP) while concurrently prioritizing energy conservation; a new up-flow layered nitrogen removal fi...
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Song Yuan, Zexin Lu, Qiyuan Li and Jinguang Gu
Due to inter-modal effects hidden in multi-modalities and the impact of weak modalities on multi-modal entity alignment, a Multi-modal Entity Alignment Method with Inter-modal Enhancement (MEAIE) is proposed. This method introduces a unique modality call...
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Chin-Yi Chen and Jih-Jeng Huang
Traditional movie recommendation systems are increasingly falling short in the contemporary landscape of abundant information and evolving user behaviors. This study introduced the temporal knowledge graph recommender system (TKGRS), a ground-breaking al...
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Jinting Zhu, Julian Jang-Jaccard, Amardeep Singh, Paul A. Watters and Seyit Camtepe
Malware authors apply different techniques of control flow obfuscation, in order to create new malware variants to avoid detection. Existing Siamese neural network (SNN)-based malware detection methods fail to correctly classify different malware familie...
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Mohammad Daradkeh
The heterogeneity and diversity of users and external knowledge resources is a hallmark of open innovation communities (OICs). Although user segmentation in heterogeneous OICs is a prominent and recurring issue, it has received limited attention in open ...
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Rohan Kumar Yadav and Dragos Constantin Nicolae
Explainability is one of the key factors in Natural Language Processing (NLP) specially for legal documents, medical diagnosis, and clinical text. Attention mechanism has been a popular choice for such explainability recently by estimating the relative i...
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Lal Khan, Ammar Amjad, Kanwar Muhammad Afaq and Hsien-Tsung Chang
Sentiment analysis (SA) has been an active research subject in the domain of natural language processing due to its important functions in interpreting people?s perspectives and drawing successful opinion-based judgments. On social media, Roman Urdu is o...
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Peng Wang, Jingju Liu, Dongdong Hou and Shicheng Zhou
The application of cybersecurity knowledge graphs is attracting increasing attention. However, many cybersecurity knowledge graphs are incomplete due to the sparsity of cybersecurity knowledge. Existing knowledge graph completion methods do not perform w...
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