{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T13:57:49Z","timestamp":1774879069044,"version":"3.50.1"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030168407","type":"print"},{"value":"9783030168414","type":"electronic"}],"license":[{"start":{"date-parts":[[2019,4,3]],"date-time":"2019-04-03T00:00:00Z","timestamp":1554249600000},"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":[[2020]]},"DOI":"10.1007\/978-3-030-16841-4_4","type":"book-chapter","created":{"date-parts":[[2019,4,2]],"date-time":"2019-04-02T16:12:08Z","timestamp":1554221528000},"page":"27-37","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Fast Transfer Learning for Image Polarity Detection"],"prefix":"10.1007","author":[{"given":"Edoardo","family":"Ragusa","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paolo","family":"Gastaldo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rodolfo","family":"Zunino","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,4,3]]},"reference":[{"key":"4_CR1","doi-asserted-by":"crossref","unstructured":"Borth, D., Ji, R., Chen, T., Breuel, T., Chang, S.F.: Large-scale visual sentiment ontology and detectors using adjective noun pairs. In: Proceedings of the 21st ACM International Conference on Multimedia, pp. 223\u2013232. ACM (2013)","DOI":"10.1145\/2502081.2502282"},{"key":"4_CR2","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1016\/j.imavis.2017.01.011","volume":"65","author":"V Campos","year":"2017","unstructured":"Campos, V., Jou, B., Giro-i Nieto, X.: From pixels to sentiment: fine-tuning CNNs for visual sentiment prediction. Image Vis. Comput. 65, 15\u201322 (2017)","journal-title":"Image Vis. Comput."},{"key":"4_CR3","doi-asserted-by":"crossref","unstructured":"Campos, V., Salvador, A., Giro-i Nieto, X., Jou, B.: Diving deep into sentiment: understanding fine-tuned CNNs for visual sentiment prediction. In: Proceedings of the 1st International Workshop on Affect & Sentiment in Multimedia, pp. 57\u201362. ACM (2015)","DOI":"10.1145\/2813524.2813530"},{"key":"4_CR4","unstructured":"Canziani, A., Paszke, A., Culurciello, E.: An analysis of deep neural network models for practical applications. arXiv preprint arXiv:1605.07678 (2016)"},{"key":"4_CR5","unstructured":"Chen, T., Borth, D., Darrell, T., Chang, S.F.: DeepSentiBank: visual sentiment concept classification with deep convolutional neural networks. arXiv preprint arXiv:1410.8586 (2014)"},{"key":"4_CR6","doi-asserted-by":"crossref","unstructured":"Fan, S., Jiang, M., Shen, Z., Koenig, B.L., Kankanhalli, M.S., Zhao, Q.: The role of visual attention in sentiment prediction. In: Proceedings of the 2017 ACM on Multimedia Conference, pp. 217\u2013225. ACM (2017)","DOI":"10.1145\/3123266.3123445"},{"key":"4_CR7","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"4_CR8","doi-asserted-by":"crossref","unstructured":"Huang, G., Liu, Z., Van Der Maaten, L., Weinberger, K.Q.: Densely connected convolutional networks. In: CVPR, vol. 1, p. 3 (2017)","DOI":"10.1109\/CVPR.2017.243"},{"key":"4_CR9","unstructured":"Iandola, F.N., Han, S., Moskewicz, M.W., Ashraf, K., Dally, W.J., Keutzer, K.: SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and $$<$$ < 0.5 mb model size. arXiv preprint arXiv:1602.07360 (2016)"},{"key":"4_CR10","doi-asserted-by":"crossref","unstructured":"Islam, J., Zhang, Y.: Visual sentiment analysis for social images using transfer learning approach. In: 2016 IEEE International Conferences on BDCloud-SocialCom-SustainCom, pp. 124\u2013130. IEEE (2016)","DOI":"10.1109\/BDCloud-SocialCom-SustainCom.2016.29"},{"key":"4_CR11","doi-asserted-by":"crossref","unstructured":"Jou, B., Chen, T., Pappas, N., Redi, M., Topkara, M., Chang, S.F.: Visual affect around the world: a large-scale multilingual visual sentiment ontology. In: Proceedings of the 23rd ACM International Conference on Multimedia, pp. 159\u2013168. ACM (2015)","DOI":"10.1145\/2733373.2806246"},{"key":"4_CR12","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems, pp. 1097\u20131105 (2012)"},{"key":"4_CR13","doi-asserted-by":"crossref","unstructured":"Luo, J., Borth, D., You, Q.: Social multimedia sentiment analysis. In: Proceedings of the 2017 ACM on Multimedia Conference, pp. 1953\u20131954. ACM (2017)","DOI":"10.1145\/3123266.3130143"},{"key":"4_CR14","doi-asserted-by":"crossref","unstructured":"Niu, T., Zhu, S., Pang, L., El Saddik, A.: Sentiment analysis on multi-view social data. In: International Conference on Multimedia Modeling, pp. 15\u201327. Springer (2016)","DOI":"10.1007\/978-3-319-27674-8_2"},{"key":"4_CR15","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1016\/j.inffus.2017.02.003","volume":"37","author":"S Poria","year":"2017","unstructured":"Poria, S., Cambria, E., Bajpai, R., Hussain, A.: A review of affective computing: from unimodal analysis to multimodal fusion. Inf\u2018. Fusion 37, 98\u2013125 (2017)","journal-title":"Inf\u2018. Fusion"},{"key":"4_CR16","doi-asserted-by":"crossref","unstructured":"Razavian, A.S., Azizpour, H., Sullivan, J., Carlsson, S.: CNN features off-the-shelf: an astounding baseline for recognition. In: 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 512\u2013519. IEEE (2014)","DOI":"10.1109\/CVPRW.2014.131"},{"issue":"3","key":"4_CR17","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1007\/s11263-015-0816-y","volume":"115","author":"O Russakovsky","year":"2015","unstructured":"Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., et al.: Imagenet large scale visual recognition challenge. Int. J. Comput. Vis. 115(3), 211\u2013252 (2015)","journal-title":"Int. J. Comput. Vis."},{"key":"4_CR18","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)"},{"key":"4_CR19","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/j.imavis.2017.08.003","volume":"65","author":"M Soleymani","year":"2017","unstructured":"Soleymani, M., Garcia, D., Jou, B., Schuller, B., Chang, S.F., Pantic, M.: A survey of multimodal sentiment analysis. Image Vis. Comput. 65, 3\u201314 (2017)","journal-title":"Image Vis. Comput."},{"key":"4_CR20","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., Rabinovich, A., et al.: Going deeper with convolutions. In: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"4_CR21","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J., Wojna, Z.: Rethinking the inception architecture for computer vision. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2818\u20132826 (2016)","DOI":"10.1109\/CVPR.2016.308"},{"key":"4_CR22","unstructured":"Xu, C., Cetintas, S., Lee, K.C., Li, L.J.: Visual sentiment prediction with deep convolutional neural networks. arXiv preprint arXiv:1411.5731 (2014)"},{"key":"4_CR23","unstructured":"Yosinski, J., Clune, J., Bengio, Y., Lipson, H.: How transferable are features in deep neural networks? In: Advances in Neural Information Processing Systems, pp. 3320\u20133328 (2014)"},{"key":"4_CR24","doi-asserted-by":"crossref","unstructured":"You, Q., Luo, J., Jin, H., Yang, J.: Robust image sentiment analysis using progressively trained and domain transferred deep networks. In: AAAI, pp. 381\u2013388 (2015)","DOI":"10.1609\/aaai.v29i1.9179"}],"container-title":["Proceedings of the International Neural Networks Society","Recent Advances in Big Data and Deep Learning"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-16841-4_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,15]],"date-time":"2022-09-15T02:52:11Z","timestamp":1663210331000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-16841-4_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4,3]]},"ISBN":["9783030168407","9783030168414"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-16841-4_4","relation":{},"ISSN":["2661-8141","2661-815X"],"issn-type":[{"value":"2661-8141","type":"print"},{"value":"2661-815X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,4,3]]},"assertion":[{"value":"3 April 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"INNSBDDL","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"INNS Big Data and Deep Learning conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sestri Levante","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","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":"18 April 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 April 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"innsbddl2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/innsbddl2019.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}