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Affect in Multimedia: Benchmarking Violent Scenes Detection., , , , , , и . IEEE Trans. Affect. Comput., 13 (1): 347-366 (2022)ImageCLEF 2020: Multimedia Retrieval in Lifelogging, Medical, Nature, and Internet Applications, , , , , , , , , и 22 other автор(ы). Advances in Information Retrieval - 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part II, том 12036 из Lecture Notes in Computer Science, стр. 533--541. Springer, (2020)Movie genome: alleviating new item cold start in movie recommendation., , , , , , , и . User Model. User Adapt. Interact., 29 (2): 291-343 (2019)Using Aesthetics and Action Recognition-Based Networks for the Prediction of Media Memorability., , , , , и . MediaEval, том 2670 из CEUR Workshop Proceedings, CEUR-WS.org, (2019)LAPI at MediaEval 2017 - Predicting Media Interestingness., , и . MediaEval, том 1984 из CEUR Workshop Proceedings, CEUR-WS.org, (2017)LAPI at MediaEval 2016 Predicting Media Interestingness Task., , и . MediaEval, том 1739 из CEUR Workshop Proceedings, CEUR-WS.org, (2016)Assessing the difficulty of predicting media memorability., , , и . CBMI, стр. 188-192. ACM, (2023)Two-Stage Spatio- Temporal Vision Transformer for the Detection of Violent Scenes., и . COMM, стр. 1-5. IEEE, (2022)Innovative Multi Pcnn Based Network for Green Area Monitoring - Identification and Description of Nearly Indistinguishable Areas - In Hyperspectral Satellite Images., , , , и . IGARSS, стр. 2639-2642. IEEE, (2018)Overview of The MediaEval 2023 Predicting Video Memorability Task., , , , , , , , , и 1 other автор(ы). MediaEval, том 3658 из CEUR Workshop Proceedings, CEUR-WS.org, (2023)