Academic literature on the topic 'Multi-aspect networks'
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Journal articles on the topic "Multi-aspect networks"
Zhang, Qiuyue, and Ran Lu. "A Multi-Attention Network for Aspect-Level Sentiment Analysis." Future Internet 11, no. 7 (July 16, 2019): 157. http://dx.doi.org/10.3390/fi11070157.
Full textZhang, Qiuyue, Ran Lu, Qicai Wang, Zhenfang Zhu, and Peiyu Liu. "Interactive Multi-Head Attention Networks for Aspect-Level Sentiment Classification." IEEE Access 7 (2019): 160017–28. http://dx.doi.org/10.1109/access.2019.2951283.
Full textБрусков, А. А. "Failure propagation in interdependent multi-level networks." Informacionno-technologicheskij vestnik, no. 2(28) (June 17, 2021): 76–90. http://dx.doi.org/10.21499/2409-1650-2021-28-2-76-90.
Full textLan, Zhouxin, Qing He, and Liu Yang. "Dual-Channel Interactive Graph Convolutional Networks for Aspect-Level Sentiment Analysis." Mathematics 10, no. 18 (September 13, 2022): 3317. http://dx.doi.org/10.3390/math10183317.
Full textQiu, Heqian, Hongliang Li, Qingbo Wu, Fanman Meng, King Ngi Ngan, and Hengcan Shi. "A2RMNet: Adaptively Aspect Ratio Multi-Scale Network for Object Detection in Remote Sensing Images." Remote Sensing 11, no. 13 (July 4, 2019): 1594. http://dx.doi.org/10.3390/rs11131594.
Full textRobinson, M., M. R. Azimi-Sadjadi, and J. Salazar. "Multi-Aspect Target Discrimination Using Hidden Markov Models and Neural Networks." IEEE Transactions on Neural Networks 16, no. 2 (March 2005): 447–59. http://dx.doi.org/10.1109/tnn.2004.841805.
Full textCorchuelo, Rafael, José A. Pérez, and Antonio Ruiz-Cortés. "Aspect-oriented interaction in multi-organisational web-based systems." Computer Networks 41, no. 4 (March 2003): 385–406. http://dx.doi.org/10.1016/s1389-1286(02)00398-5.
Full textXu, Nan, Wenji Mao, and Guandan Chen. "Multi-Interactive Memory Network for Aspect Based Multimodal Sentiment Analysis." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 371–78. http://dx.doi.org/10.1609/aaai.v33i01.3301371.
Full textSingh, Omkar, and Vinay Rishiwal. "QoS Aware Multi-hop Multi-path Routing Approach in Wireless Sensor Networks." International Journal of Sensors, Wireless Communications and Control 9, no. 1 (July 15, 2019): 43–52. http://dx.doi.org/10.2174/2210327908666180703143435.
Full textXu, Guangtao, Peiyu Liu, Zhenfang Zhu, Jie Liu, and Fuyong Xu. "Attention-Enhanced Graph Convolutional Networks for Aspect-Based Sentiment Classification with Multi-Head Attention." Applied Sciences 11, no. 8 (April 18, 2021): 3640. http://dx.doi.org/10.3390/app11083640.
Full textDissertations / Theses on the topic "Multi-aspect networks"
Smoreda, Zbigniew. "Sociabilités ordinaires, réseaux sociaux et médiation des technologies de communication." Phd thesis, Université Paris-Est, 2008. http://tel.archives-ouvertes.fr/tel-00469439.
Full textMalardé, Vincent. "Économie collaborative et régulation des plateformes numériques." Thesis, Rennes 1, 2019. http://www.theses.fr/2019REN1G006.
Full textFacilitated by peer-to-peer platforms, the sharing economy has become part of the French way of life. Airbnb, Blablacar, Leboncoin... these platforms are now well known in France. This thesis aims to provide more elements, both theoretical and empirical, to inform the current debates around these platforms. This thesis work begins by using survey data to measure the importance of the use of collaborative platforms in France, and to establish the socio-economic characteristics of users. Then this thesis focuses on the dynamics of developing a collaborative platform,through the example of the French home-to-work ride-sharing platform, iDVROOM. The objective is to study the complementary role of network effects, spatial effects and community effects on the development of the platform. The rest of this thesis focuses on the competition between the short-term rental platform Airbnb and the hotel industry in Paris. The effect of the density of hosts on the collaborative platform on the price charged by an hotel is the subject of a firstempirical study, before being modeled in a theoretical way to discuss the possible effects of a set of alternative regulations of the platform’s activity. Finally, competition between two platforms is analysed when they have the possibility of implementing tariff discrimination strategies designed to encourage supplier exclusivity. The conclusion develops the implications of these results forpolicy makers, platforms and academic research
Book chapters on the topic "Multi-aspect networks"
Yin, Chang, Qing Zhou, Liang Ge, and Jiaojiao Ou. "Multi-hop Syntactic Graph Convolutional Networks for Aspect-Based Sentiment Classification." In Knowledge Science, Engineering and Management, 213–24. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55393-7_20.
Full textWu, Lijuan, Guixian Zhang, Zhi Lei, Zhirong Huang, and Guangquan Lu. "Multi-View Gated Graph Convolutional Network for Aspect-Level Sentiment Classification." In Advanced Data Mining and Applications, 489–504. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-22064-7_35.
Full textGao, Yang, Jianxun Liu, Pei Li, Dong Zhou, and Peng Yuan. "Multitask Learning Based on Constrained Hierarchical Attention Network for Multi-aspect Sentiment Classification." In Communications in Computer and Information Science, 685–92. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63820-7_78.
Full textWu, Hanqian, Shangbin Zhang, Jingjing Wang, Mumu Liu, and Shoushan Li. "Multi-label Aspect Classification on Question-Answering Text with Contextualized Attention-Based Neural Network." In Lecture Notes in Computer Science, 479–91. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32381-3_39.
Full textRan, Xiangying, Yuanyuan Pan, Wei Sun, and Chongjun Wang. "Modeling More Globally: A Hierarchical Attention Network via Multi-Task Learning for Aspect-Based Sentiment Analysis." In Database Systems for Advanced Applications, 505–9. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18590-9_76.
Full textWijaya, I. Putu Krishna, Peeranan Towashiraporn, Anish Joshi, Susantha Jayasinghe, Anggraini Dewi, and Md Nurul Alam. "Climate Change-Induced Regional Landslide Hazard and Exposure Assessment for Aiding Climate Resilient Road Infrastructure Planning: A Case Study in Bagmati and Madhesh Provinces, Nepal." In Progress in Landslide Research and Technology, Volume 1 Issue 1, 2022, 175–84. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-16898-7_12.
Full textOrhanou, Ghizlane, Abdelmajid Lakbabi, Nabil Moukafih, and Said El Hajji. "Network Access Control and Collaborative Security Against APT and AET." In Security and Privacy in Smart Sensor Networks, 201–30. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5736-4.ch010.
Full textGuleria, Kalpna, Saira Banu Atham, and Ashok Kumar. "Data Fusion in Underwater Wireless Sensor Networks and Open Research Challenges." In Energy-Efficient Underwater Wireless Communications and Networking, 67–84. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-3640-7.ch005.
Full textCrespo, Nuno, Nicole Palan, and Nadia Simoes. "Sectoral Trade Globalization." In Handbook of Research on the Empirical Aspects of Strategic Trade Negotiations and Management, 1–27. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7568-0.ch001.
Full textShamsolmoali, Pourya, Masoumeh Zareapoor, and M. Afshar Alam. "Multi-Aspect DDOS Detection System for Securing Cloud Network." In Cloud Security, 1952–83. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8176-5.ch096.
Full textConference papers on the topic "Multi-aspect networks"
Yang, Lingyu, Hongjia Li, Lei Li, Chun Yuan, and Shu-Tao Xia. "ACEs: Unsupervised Multi-label Aspect Detection with Aspect-category Experts." In 2022 International Joint Conference on Neural Networks (IJCNN). IEEE, 2022. http://dx.doi.org/10.1109/ijcnn55064.2022.9892431.
Full textMontanari, Mirko, and Roy Campbell. "Multi-Aspect Security Assessment of Airport Computer Networks." In AIAA Infotech@Aerospace 2010. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2010. http://dx.doi.org/10.2514/6.2010-3312.
Full textZhong, Ning, and Jianhui Chen. "Data-Brain driven multi-aspect mining process planning." In 2010 International Joint Conference on Neural Networks (IJCNN). IEEE, 2010. http://dx.doi.org/10.1109/ijcnn.2010.5596559.
Full textLi, Yuncong, Cunxiang Yin, Sheng-hua Zhong, and Xu Pan. "Multi-Instance Multi-Label Learning Networks for Aspect-Category Sentiment Analysis." In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Stroudsburg, PA, USA: Association for Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.emnlp-main.287.
Full textHu, Mengting, Shiwan Zhao, Li Zhang, Keke Cai, Zhong Su, Renhong Cheng, and Xiaowei Shen. "CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis." In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Stroudsburg, PA, USA: Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/d19-1467.
Full textCartmill, Jered, Mahmood R. Azimi-Sadjadi, and Neil Wachowski. "Buried Underwater Object Classification Using a Collaborative Multi-Aspect Classifier." In 2007 International Joint Conference on Neural Networks. IEEE, 2007. http://dx.doi.org/10.1109/ijcnn.2007.4371232.
Full textAzimi-Sadjadi, Mahmood R., Qiang Huang, and Gerald J. Dobeck. "Underwater target classification using multi-aspect fusion and neural networks." In Aerospace/Defense Sensing and Controls, edited by Abinash C. Dubey, James F. Harvey, and J. Thomas Broach. SPIE, 1998. http://dx.doi.org/10.1117/12.324142.
Full textZhao, Zefang, Yuyang Liu, Junruo Gao, Haibo Wu, Zhaojuan Yue, and Jun Li. "Multi-grained Syntactic Dependency-aware Graph Convolution for Aspect-based Sentiment Analysis." In 2022 International Joint Conference on Neural Networks (IJCNN). IEEE, 2022. http://dx.doi.org/10.1109/ijcnn55064.2022.9892472.
Full textWang, Simin, Guiyun Zhang, and Jun Cao. "Aspect-Based Sentiment Analysis with Multi-aspects Heterogeneous Graph Convolutional Networks." In EITCE 2021: 2021 5th International Conference on Electronic Information Technology and Computer Engineering. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3501409.3501574.
Full textCui, Can, Luyuan Xu, Bo Liu, Jing Chen, Shuaiyu Yao, and Qi Kang. "Aspect-level Sentiment Classification with Multi-head-attention-based Multi-channel Graph Convolutional Networks." In 2022 IEEE International Conference on Networking, Sensing and Control (ICNSC). IEEE, 2022. http://dx.doi.org/10.1109/icnsc55942.2022.10004113.
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