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Affect in Multimedia: Benchmarking Violent Scenes Detection., , , , , , and . IEEE Trans. Affect. Comput., 13 (1): 347-366 (2022)Assessing the difficulty of predicting media memorability., , , and . CBMI, page 188-192. ACM, (2023)LAPI at MediaEval 2016 Predicting Media Interestingness Task., , and . MediaEval, volume 1739 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)MediaEval 2016 Predicting Media Interestingness Task., , , , , , and . MediaEval, volume 1739 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)Using Aesthetics and Action Recognition-Based Networks for the Prediction of Media Memorability., , , , , and . MediaEval, volume 2670 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)LAPI at MediaEval 2017 - Predicting Media Interestingness., , and . MediaEval, volume 1984 of CEUR Workshop Proceedings, CEUR-WS.org, (2017)Demo: A FSM Approach to Web Collaboration., , and . ICDCS, page 1120-1121. IEEE, (2021)Two-Stage Spatio- Temporal Vision Transformer for the Detection of Violent Scenes., and . COMM, page 1-5. IEEE, (2022)Virtual Data Warehouse architecture for real-time WebGIS., , , , and . VECIMS, page 80-85. IEEE, (2008)An ontology based approach to intelligent data mining for environmental virtual warehouses of sensor data., , , , and . VECIMS, page 125-129. IEEE, (2008)