{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,8]],"date-time":"2025-10-08T22:19:07Z","timestamp":1759961947124,"version":"3.37.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030304898"},{"type":"electronic","value":"9783030304904"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-30490-4_59","type":"book-chapter","created":{"date-parts":[[2019,9,8]],"date-time":"2019-09-08T23:02:47Z","timestamp":1567983767000},"page":"747-757","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Convolutional Recurrent Neural Networks for Computer Network Analysis"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1572-3426","authenticated-orcid":false,"given":"Jakub","family":"Nowak","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6002-2733","authenticated-orcid":false,"given":"Marcin","family":"Korytkowski","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9592-262X","authenticated-orcid":false,"given":"Rafa\u0142","family":"Scherer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,9,9]]},"reference":[{"key":"59_CR1","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"505","DOI":"10.1007\/978-3-319-60840-2_36","volume-title":"Rough Sets","author":"F Beritelli","year":"2017","unstructured":"Beritelli, F., Capizzi, G., Lo Sciuto, G., Scaglione, F., Po\u0142ap, D., Wo\u017aniak, M.: A neural network pattern recognition approach to automatic rainfall classification by using signal strength in LTE\/4G networks. In: Polkowski, L., et al. (eds.) IJCRS 2017. LNCS (LNAI), vol. 10314, pp. 505\u2013512. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-60840-2_36"},{"key":"59_CR2","doi-asserted-by":"publisher","first-page":"226","DOI":"10.1016\/j.patrec.2017.10.014","volume":"105","author":"W Chen","year":"2018","unstructured":"Chen, W., Zhang, Y., Yeo, C.K., Lau, C.T., Lee, B.S.: Unsupervised rumor detection based on users\u2019 behaviors using neural networks. Pattern Recogn. Lett. 105, 226\u2013233 (2018)","journal-title":"Pattern Recogn. Lett."},{"key":"59_CR3","doi-asserted-by":"crossref","unstructured":"Cho, K., et al.: Learning phrase representations using RNN encoder-decoder for statistical machine translation. arXiv preprint arXiv:1406.1078 (2014)","DOI":"10.3115\/v1\/D14-1179"},{"key":"59_CR4","unstructured":"Chung, J., G\u00fcl\u00e7ehre, \u00c7., Cho, K., Bengio, Y.: Empirical evaluation of gated recurrent neural networks on sequence modeling. CoRR abs\/1412.3555 (2014)"},{"key":"59_CR5","doi-asserted-by":"crossref","unstructured":"Donahue, J., et al.: Long-term recurrent convolutional networks for visual recognition and description. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2625\u20132634 (2015)","DOI":"10.1109\/CVPR.2015.7298878"},{"key":"59_CR6","unstructured":"Gers, F.A., Schmidhuber, J., Cummins, F.: Learning to forget: continual prediction with LSTM. In: 1999 Ninth International Conference on Artificial Neural Networks, ICANN 1999 (Conf. Publ. No. 470), vol. 2, pp. 850\u2013855, September 1999"},{"key":"59_CR7","doi-asserted-by":"publisher","first-page":"306","DOI":"10.1016\/j.cose.2018.10.007","volume":"80","author":"M Gratian","year":"2019","unstructured":"Gratian, M., Bhansali, D., Cukier, M., Dykstra, J.: Identifying infected users via network traffic. Comput. Secur. 80, 306\u2013316 (2019)","journal-title":"Comput. Secur."},{"issue":"5\u20136","key":"59_CR8","doi-asserted-by":"publisher","first-page":"602","DOI":"10.1016\/j.neunet.2005.06.042","volume":"18","author":"A Graves","year":"2005","unstructured":"Graves, A., Schmidhuber, J.: Framewise phoneme classification with bidirectional lstm and other neural network architectures. Neural Netw. 18(5\u20136), 602\u2013610 (2005)","journal-title":"Neural Netw."},{"issue":"10","key":"59_CR9","doi-asserted-by":"publisher","first-page":"2222","DOI":"10.1109\/TNNLS.2016.2582924","volume":"28","author":"K Greff","year":"2017","unstructured":"Greff, K., Srivastava, R.K., Koutn\u00edk, J., Steunebrink, B.R., Schmidhuber, J.: LSTM: a search space Odyssey. IEEE Trans. Neural Netw. Learn. Syst. 28(10), 2222\u20132232 (2017)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"2","key":"59_CR10","doi-asserted-by":"publisher","first-page":"123","DOI":"10.2478\/jaiscr-2018-0029","volume":"9","author":"R Kamimura","year":"2019","unstructured":"Kamimura, R.: Supposed maximum mutual information for improving generalization and interpretation of multi-layered neural networks. J. Artif. Intell. Soft Comput. Res. 9(2), 123\u2013147 (2019)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"key":"59_CR11","unstructured":"Kinga, D., Adam, J.B.: A method for stochastic optimization. In: International Conference on Learning Representations (ICLR), vol. 5 (2015)"},{"issue":"3","key":"59_CR12","doi-asserted-by":"publisher","first-page":"177","DOI":"10.2478\/jaiscr-2019-0002","volume":"9","author":"SA Ludwig","year":"2019","unstructured":"Ludwig, S.A.: Applying a neural network ensemble to intrusion detection. J. Artif. Intell. Soft Comput. Res. 9(3), 177\u2013188 (2019)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"key":"59_CR13","unstructured":"Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781 (2013)"},{"key":"59_CR14","unstructured":"Mikolov, T., Sutskever, I., Chen, K., Corrado, G.S., Dean, J.: Distributed representations of words and phrases and their compositionality. In: Advances in Neural Information Processing Systems, pp. 3111\u20133119 (2013)"},{"key":"59_CR15","unstructured":"Molina, L.E., Bhulai, S., Reader, V.S., de Jeu, R., Tjepkema, J.: Understanding user behavior in e-commerce with long short-term memory (LSTM) and autoencoders. Masters thesis, Vrije Universiteit Amsterdam (2018)"},{"key":"59_CR16","doi-asserted-by":"crossref","unstructured":"Verde, N.V., Ateniese, G., Gabrielli, E., Mancini, L.V., Spognardi, A.: No NAT\u2019d user left behind: fingerprinting users behind NAT from NetFlow records alone. In: 2014 IEEE 34th International Conference on Distributed Computing Systems, pp. 218\u2013227, June 2014","DOI":"10.1109\/ICDCS.2014.30"},{"key":"59_CR17","doi-asserted-by":"crossref","unstructured":"Wu, Z., King, S.: Investigating gated recurrent networks for speech synthesis. In: 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 5140\u20135144, March 2016","DOI":"10.1109\/ICASSP.2016.7472657"},{"key":"59_CR18","doi-asserted-by":"crossref","unstructured":"Xiong, W., Wu, L., Alleva, F., Droppo, J., Huang, X., Stolcke, A.: The Microsoft 2017 conversational speech recognition system. In: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 5934\u20135938. IEEE (2018)","DOI":"10.1109\/ICASSP.2018.8461870"},{"key":"59_CR19","doi-asserted-by":"crossref","unstructured":"Yao, K., Zweig, G., Hwang, M.Y., Shi, Y., Yu, D.: Recurrent neural networks for language understanding. In: Interspeech, pp. 2524\u20132528 (2013)","DOI":"10.21437\/Interspeech.2013-569"},{"key":"59_CR20","unstructured":"Zhang, X., Zhao, J., LeCun, Y.: Character-level convolutional networks for text classification. In: Advances in Neural Information Processing Systems, pp. 649\u2013657 (2015)"},{"key":"59_CR21","unstructured":"Zhou, C., Sun, C., Liu, Z., Lau, F.: A C-LSTM neural network for text classification. arXiv preprint arXiv:1511.08630 (2015)"}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks and Machine Learning \u2013 ICANN 2019: Text and Time Series"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-30490-4_59","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,27]],"date-time":"2022-09-27T21:31:23Z","timestamp":1664314283000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-30490-4_59"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030304898","9783030304904"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-30490-4_59","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"9 September 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICANN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Neural Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Munich","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 September 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 September 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icann2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/e-nns.org\/icann2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}