{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:04:32Z","timestamp":1750309472497,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":25,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,9,20]],"date-time":"2024-09-20T00:00:00Z","timestamp":1726790400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,9,20]]},"DOI":"10.1145\/3698300.3698309","type":"proceedings-article","created":{"date-parts":[[2024,12,14]],"date-time":"2024-12-14T08:11:40Z","timestamp":1734163900000},"page":"81-85","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Siamese Network for Similar Data Recognition Filtering"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-3610-4252","authenticated-orcid":false,"given":"Jiakai","family":"Xie","sequence":"first","affiliation":[{"name":"Qingdao University, Qingdao, Shandong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1771-5857","authenticated-orcid":false,"given":"Li","family":"Guo","sequence":"additional","affiliation":[{"name":"Qingdao University, Qingdao, Shandong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,12,14]]},"reference":[{"key":"e_1_3_3_1_2_2","doi-asserted-by":"crossref","unstructured":"Mueller J. W. & Thyagarajan A. (2016). Siamese Recurrent Architectures for Learning Sentence Similarity. Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence 2786-2792.","DOI":"10.1609\/aaai.v30i1.10350"},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"crossref","unstructured":"Ma G. Ahmed N. Willke T. L. Sengupta D. Cole M. W. Turk-Browne N. & Yu P. S. (2019). Deep Graph Similarity Learning for Brain Data Analysis. Proceedings of the 28th ACM International Conference on Information and Knowledge Management.","DOI":"10.1145\/3357384.3357815"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"crossref","unstructured":"Huang D. Yang M. Duan J. Yu S. & Liu Z. (2023). Siamese Network Tracking Based on Feature Enhancement. IEEE Access 11 37705-37713.","DOI":"10.1109\/ACCESS.2023.3266264"},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"crossref","unstructured":"Bromley J. Guyon I. LeCun Y. S\u00e4ckinger E. & Shah R. (1994). Signature verification using a \"Siamese\" time delay neural network. Advances in Neural Information Processing Systems 6 737-744.","DOI":"10.1142\/9789812797926_0003"},{"key":"e_1_3_3_1_6_2","unstructured":"Koch G. Zemel R. & Salakhutdinov R. (2015). Siamese Neural Networks for One-shot Image Recognition."},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"crossref","unstructured":"Segura-Bedmar I. (2023). HULAT at SemEval-2023 Task 9: Data Augmentation for Pre-trained Transformers Applied to Multilingual Tweet Intimacy Analysis. ArXiv abs\/2302.12794.","DOI":"10.18653\/v1\/2023.semeval-1.25"},{"key":"e_1_3_3_1_8_2","unstructured":"Meng M. H. Bai G. Teo S. & Dong J. (2022). Supervised Robustness-preserving Data-free Neural Network Pruning. ArXiv abs\/2204.00783."},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"crossref","unstructured":"Wang G. Ying R. Huang J. & Leskovec J. (2020). Multi-hop Attention Graph Neural Networks. IJCAI-2021 3089-3096.","DOI":"10.24963\/ijcai.2021\/425"},{"key":"e_1_3_3_1_10_2","unstructured":"Nair V. & Hinton G. E. (2010). Rectified Linear Units Improve Restricted Boltzmann Machines. Proceedings of the 27th International Conference on Machine Learning (ICML-10) 807-814."},{"key":"e_1_3_3_1_11_2","unstructured":"Ioffe S. & Szegedy C. (2015). Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift. ArXiv abs\/1502.03167."},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"crossref","unstructured":"Liu Y. Chang G. Fu G. Wei Y. Lan J. & Liu J. (2022). Self-Attention based Siamese Neural Network recognition Model. 2022 34th Chinese Control and Decision Conference (CCDC) 721-724.","DOI":"10.1109\/CCDC55256.2022.10034228"},{"key":"e_1_3_3_1_13_2","doi-asserted-by":"crossref","unstructured":"Albawi S. Mohammed T. A. & Al-Zawi S. (2017). Understanding of a convolutional neural network. 2017 International Conference on Engineering and Technology (ICET) 1-6.","DOI":"10.1109\/ICEngTechnol.2017.8308186"},{"key":"e_1_3_3_1_14_2","unstructured":"Srivastava N. Hinton G. E. Krizhevsky A. Sutskever I. & Salakhutdinov R. (2014). Dropout: A Simple Way to Prevent Neural Networks from Overfitting. Journal of Machine Learning Research 15 1929-1958."},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"crossref","unstructured":"Yu D. Wang H. Chen P. & Wei Z. (2014). Mixed Pooling for Convolutional Neural Networks.","DOI":"10.1007\/978-3-319-11740-9_34"},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"crossref","unstructured":"Lu Z. & Zhang Y. (2023). Research on joint multi-scale convolution network for image super-resolution reconstruction.","DOI":"10.1117\/12.2660518"},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"crossref","unstructured":"Ye Z. Wang J. & Bai L. (2023). Multi-Scale Spatial-Spectral Feature Extraction Based on Dilated Convolution for Hyperspectral Image Classification.","DOI":"10.1145\/3582649.3582681"},{"key":"e_1_3_3_1_18_2","unstructured":"Zheng H. et al. (2018). Using Deep Learning Networks to Optimize Transaction Data Processing in Finance. Journal of Financial Data Science."},{"key":"e_1_3_3_1_19_2","unstructured":"Jiang Z. Tan H. Gao F. & Cai J. (2020). Deep Learning Based Image Clustering: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence."},{"key":"e_1_3_3_1_20_2","doi-asserted-by":"crossref","unstructured":"Draper N. R. & Smith H. (1998). Applied regression analysis (3rd ed.). John Wiley & Sons.","DOI":"10.1002\/9781118625590"},{"key":"e_1_3_3_1_21_2","doi-asserted-by":"crossref","unstructured":"Cortes C. & Vapnik V. (1995). Support-vector networks. Machine Learning 20(3) 273-297.","DOI":"10.1007\/BF00994018"},{"key":"e_1_3_3_1_22_2","doi-asserted-by":"crossref","unstructured":"Breiman L. (2001). Random forests. Machine Learning 45(1) 5-32.","DOI":"10.1023\/A:1010933404324"},{"key":"e_1_3_3_1_23_2","unstructured":"Xiao H. Rasul K. & Vollgraf R. (2017). Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms."},{"key":"e_1_3_3_1_24_2","unstructured":"Rao U. et al. (2020). Real-Time Redundancy Reduction for Streaming Data. IEEE Transactions on Big Data."},{"key":"e_1_3_3_1_25_2","unstructured":"Kusner M. J. et al. (2015). From Word Embeddings to Document Distances. International Conference on Machine Learning."},{"key":"e_1_3_3_1_26_2","doi-asserted-by":"crossref","unstructured":"LeCun Y. Bottou L. Bengio Y. & Haffner P. (1998). Gradient-based learning applied to document recognition. Proceedings of the IEEE 86(11) 2278-2324.","DOI":"10.1109\/5.726791"}],"event":{"name":"ICBDT 2024: 2024 7th International Conference on Big Data Technologies","acronym":"ICBDT 2024","location":"Hangzhou Hubei China"},"container-title":["Proceedings of the 2024 7th International Conference on Big Data Technologies"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3698300.3698309","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3698300.3698309","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:17:19Z","timestamp":1750295839000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3698300.3698309"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,20]]},"references-count":25,"alternative-id":["10.1145\/3698300.3698309","10.1145\/3698300"],"URL":"https:\/\/doi.org\/10.1145\/3698300.3698309","relation":{},"subject":[],"published":{"date-parts":[[2024,9,20]]},"assertion":[{"value":"2024-12-14","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}