{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T19:50:59Z","timestamp":1757620259362,"version":"3.44.0"},"publisher-location":"Cham","reference-count":28,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031995644"},{"type":"electronic","value":"9783031995651"}],"license":[{"start":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T00:00:00Z","timestamp":1753833600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T00:00:00Z","timestamp":1753833600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-031-99565-1_26","type":"book-chapter","created":{"date-parts":[[2025,7,29]],"date-time":"2025-07-29T06:42:51Z","timestamp":1753771371000},"page":"340-351","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Image Transformation Sequence Retrieval with\u00a0General Reinforcement Learning"],"prefix":"10.1007","author":[{"given":"Enrique","family":"Mas-Candela","sequence":"first","affiliation":[]},{"given":"Antonio","family":"R\u00edos-Vila","sequence":"additional","affiliation":[]},{"given":"Jorge","family":"Calvo-Zaragoza","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,7,30]]},"reference":[{"key":"26_CR1","unstructured":"Auger, D., Couetoux, A., Teytaud, O.: Continuous upper confidence trees with polynomial exploration\u2013consistency. In: Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2013, Prague, Czech Republic, 23\u201327 September 2013, Proceedings, Part I 13, pp. 194\u2013209. Springer (2013)"},{"issue":"11","key":"26_CR2","doi-asserted-by":"publisher","first-page":"2691","DOI":"10.1109\/TIFS.2018.2825953","volume":"13","author":"B Bayar","year":"2018","unstructured":"Bayar, B., Stamm, M.C.: Constrained convolutional neural networks: a new approach towards general purpose image manipulation detection. IEEE Trans. Inf. Forensics Secur. 13(11), 2691\u20132706 (2018)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"26_CR3","doi-asserted-by":"crossref","unstructured":"Bengio, Y., Louradour, J., Collobert, R., Weston, J.: Curriculum learning. In: Proceedings of the 26th Annual International Conference on Machine Learning, pp. 41\u201348 (2009)","DOI":"10.1145\/1553374.1553380"},{"key":"26_CR4","unstructured":"Brown, T.B., Mann, B., et. al, N.R.: Language models are few-shot learners. In: Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, 6\u201312 December 2020, virtual (2020)"},{"key":"26_CR5","unstructured":"Bunel, R., Hausknecht, M.J., Devlin, J., Singh, R., Kohli, P.: Leveraging grammar and reinforcement learning for neural program synthesis. In: 6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30\u2013May 3 2018, Conference Track Proceedings (2018)"},{"key":"26_CR6","unstructured":"Chen, M., Tworek, J., et. al, H.J.: Evaluating large language models trained on code. Computer Research Repository abs\/2107.03374 (2021)"},{"key":"26_CR7","unstructured":"Chollet, F.: On the measure of intelligence. Computer Research Repository abs\/1911.01547 (2019)"},{"key":"26_CR8","doi-asserted-by":"crossref","unstructured":"Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: Imagenet: a large-scale hierarchical image database. In: 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp. 248\u2013255. IEEE (2009)","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"26_CR9","unstructured":"Devlin, J., Uesato, J., Bhupatiraju, S., Singh, R., Mohamed, A., Kohli, P.: Robustfill: neural program learning under noisy I\/O. In: Precup, D., Teh, Y.W. (eds.) Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6\u201311 August 2017. Proceedings of Machine Learning Research, vol.\u00a070, pp. 990\u2013998 (2017)"},{"key":"26_CR10","unstructured":"Dosovitskiy, A., et al.: An image is worth 16 $$\\times $$ 16 words: transformers for image recognition at scale. In: 9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, 3\u20137 May 2021 (2021)"},{"key":"26_CR11","doi-asserted-by":"crossref","unstructured":"Fawzi, A., et\u00a0al.: Discovering faster matrix multiplication algorithms with reinforcement learning. Nature 610(7930), 47\u201353 (2022)","DOI":"10.1038\/s41586-022-05172-4"},{"issue":"3","key":"26_CR12","doi-asserted-by":"publisher","first-page":"536","DOI":"10.1109\/TMM.2012.2191946","volume":"14","author":"X Feng","year":"2012","unstructured":"Feng, X., Cox, I.J., Doerr, G.: Normalized energy density-based forensic detection of resampled images. IEEE Trans. Multimed. 14(3), 536\u2013545 (2012)","journal-title":"IEEE Trans. Multimed."},{"key":"26_CR13","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016, Las Vegas, NV, USA, 27\u201330 June 2016, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"26_CR14","doi-asserted-by":"crossref","unstructured":"Hern\u00e1ndez-Orallo, J.: The Measure of All Minds: Evaluating Natural and Artificial Intelligence. Cambridge University Press, UK (2017)","DOI":"10.1017\/9781316594179"},{"issue":"8","key":"26_CR15","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"key":"26_CR16","unstructured":"Howard, J.: Imagenette. https:\/\/github.com\/fastai\/imagenette\/"},{"key":"26_CR17","doi-asserted-by":"publisher","first-page":"19336","DOI":"10.1109\/ACCESS.2020.2967090","volume":"8","author":"B Hu","year":"2020","unstructured":"Hu, B., Zhou, N., Zhou, Q., Wang, X., Liu, W.: Diffnet: a learning to compare deep network for product recognition. IEEE Access 8, 19336\u201319344 (2020)","journal-title":"IEEE Access"},{"issue":"9","key":"26_CR18","doi-asserted-by":"publisher","first-page":"1456","DOI":"10.1109\/TIFS.2013.2273394","volume":"8","author":"X Kang","year":"2013","unstructured":"Kang, X., Stamm, M.C., Peng, A., Liu, K.: Robust median filtering forensics using an autoregressive model. IEEE Trans. Inf. Forensics Secur. 8(9), 1456\u20131468 (2013)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"26_CR19","doi-asserted-by":"crossref","unstructured":"Liang, J., et al.: Code as policies: language model programs for embodied control (2022)","DOI":"10.1109\/ICRA48891.2023.10160591"},{"key":"26_CR20","doi-asserted-by":"crossref","unstructured":"Lin, L.J.: Self-improving reactive agents based on reinforcement learning, planning and teaching. Mach. Learn. 8(3\u20134), 293\u2013321 (1992)","DOI":"10.1007\/BF00992699"},{"key":"26_CR21","doi-asserted-by":"crossref","unstructured":"Liu, Z., et al.: Swin transformer: hierarchical vision transformer using shifted windows. In: 2021 IEEE\/CVF International Conference on Computer Vision, ICCV 2021, Montreal, QC, Canada, 10\u201317 October 2021, pp. 9992\u201310002 (2021)","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"26_CR22","doi-asserted-by":"crossref","unstructured":"Liu, Z., Mao, H., Wu, C., Feichtenhofer, C., Darrell, T., Xie, S.: A convnet for the 2020s. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, 18\u201324 June 2022, pp. 11966\u201311976 (2022)","DOI":"10.1109\/CVPR52688.2022.01167"},{"issue":"13","key":"26_CR23","doi-asserted-by":"publisher","first-page":"3105","DOI":"10.1049\/iet-ipr.2019.1114","volume":"14","author":"A Mazumdar","year":"2020","unstructured":"Mazumdar, A., Bora, P.K.: Siamese convolutional neural network-based approach towards universal image forensics. IET Image Process. 14(13), 3105\u20133116 (2020)","journal-title":"IET Image Process."},{"key":"26_CR24","unstructured":"Parisotto, E., Mohamed, A., Singh, R., Li, L., Zhou, D., Kohli, P.: Neuro-symbolic program synthesis. In: 5th International Conference on Learning Representations, ICLR 2017 (2017)"},{"issue":"6419","key":"26_CR25","doi-asserted-by":"publisher","first-page":"1140","DOI":"10.1126\/science.aar6404","volume":"362","author":"D Silver","year":"2018","unstructured":"Silver, D., et al.: A general reinforcement learning algorithm that masters chess, shogi, and go through self-play. Science 362(6419), 1140\u20131144 (2018)","journal-title":"Science"},{"key":"26_CR26","unstructured":"Tan, M., Le, Q.V.: Efficientnet: rethinking model scaling for convolutional neural networks. In: Chaudhuri, K., Salakhutdinov, R. (eds.) Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9\u201315 June 2019, Long Beach, California, USA. Proceedings of Machine Learning Research, vol.\u00a097, pp. 6105\u20136114 (2019)"},{"key":"26_CR27","unstructured":"Vaswani, A., et al.: Attention is all you need. In: Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 4\u20139 December 2017, Long Beach, CA, USA, pp. 5998\u20136008 (2017)"},{"key":"26_CR28","unstructured":"Waldinger, R.J., Lee, R.C.T.: PROW: a step toward automatic program writing. In: Walker, D.E., Norton, L.M. (eds.) Proceedings of the 1st International Joint Conference on Artificial Intelligence, Washington, DC, USA, 7\u20139 May 1969, pp. 241\u2013252. William Kaufmann, USA (1969)"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition and Image Analysis"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-99565-1_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T06:55:14Z","timestamp":1757314514000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-99565-1_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,30]]},"ISBN":["9783031995644","9783031995651"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-99565-1_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025,7,30]]},"assertion":[{"value":"30 July 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IbPRIA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Iberian Conference on Pattern Recognition and Image Analysis","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Coimbra","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 July 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 July 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ibpria2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ibpria.org\/2025\/?page=home","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}