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Experiences from the MediaEval Predicting Media Memorability Task., , , , , , , , , and 1 other author(s). CoRR, (2022)Use of Neural Signals to Evaluate the Quality of Generative Adversarial Network Performance in Facial Image Generation., , , and . CoRR, (2018)A Neuro-AI Interface for Evaluating Generative Adversarial Networks., , , , and . CoRR, (2020)Memories in the Making: Predicting Video Memorability with Encoding Phase EEG., , and . CBMI, page 183-187. ACM, (2023)Organiser Team at ImageCLEFlifelog 2020: A Baseline Approach for Moment Retrieval and Athlete Performance Prediction using Lifelog Data., , , , , , , , , and 4 other author(s). CLEF (Working Notes), volume 2696 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)Overview of The MediaEval 2022 Predicting Video Memorability Task., , , , , , , , , and 1 other author(s). MediaEval, volume 3583 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)Introduction to the Sixth Annual Lifelog Search Challenge, LSC'23., , , , , , , , , and 1 other author(s). ICMR, page 678-679. ACM, (2023)LifeSeeker 3.0: An Interactive Lifelog Search Engine for LSC'21., , , , , , , and . LSC@ICMR, page 41-46. ACM, (2021)Using Machine Learning to Improve Lead Times in the Identification of Emerging Customer Needs., , and . IEEE Access, (2022)Improving object segmentation by using EEG signals and rapid serial visual presentation., , , , , and . Multimedia Tools Appl., 74 (22): 10137-10159 (2015)