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Deep Learning and Multivariate Time Series for Cheat Detection in Video Games.

, , and . DSAA, page 1-2. IEEE, (2021)

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Improving User Privacy and the Accuracy of User Identification in Behavioral Biometrics., , , and . EPIA, volume 9273 of Lecture Notes in Computer Science, page 15-26. Springer, (2015)Monitoring and improving performance in human-computer interaction., , , , and . Concurr. Comput. Pract. Exp., 28 (4): 1291-1309 (2016)A neural network to classify fatigue from human-computer interaction., , , and . Neurocomputing, (2016)Detecting and monitoring mental fatigue: a non-invasive approach. University of Minho, Portugal, (2018)Providing Wellness Services Using Real Time Analytics., , , and . ISAmI, volume 476 of Advances in Intelligent Systems and Computing, page 167-175. Springer, (2016)Analysis of Mental Fatigue and Mood States in Workplaces., , , and . IDC, volume 616 of Studies in Computational Intelligence, page 111-119. Springer, (2015)A Non-invasive Approach to Detect and Monitor Acute Mental Fatigue., , , and . IEA/AIE (2), volume 8482 of Lecture Notes in Computer Science, page 338-347. Springer, (2014)Dynamically Improving Collective Environments through Mood Induction Procedures., , , , , and . ISAmI, volume 219 of Advances in Intelligent Systems and Computing, page 33-40. Springer, (2013)Deep Learning and Multivariate Time Series for Cheat Detection in Video Games., , and . DSAA, page 1-2. IEEE, (2021)A multi-modal architecture for non-intrusive analysis of performance in the workplace., , , and . Neurocomputing, (2017)