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Mental Workload in Medicine: Foundations, Applications, Open Problems, Challenges and Future Perspectives.

. CBMS, page 106-111. IEEE Computer Society, (2016)

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Estimation of Train Driver Workload: Extracting Taskload Measures from On-Train-Data-Recorders., , , and . H-WORKLOAD, volume 726 of Communications in Computer and Information Science, page 106-119. Springer, (2017)On the Reliability, Validity and Sensitivity of Three Mental Workload Assessment Techniques for the Evaluation of Instructional Designs: A Case Study in a Third-level Course.. CSEDU (2), page 166-178. SciTePress, (2018)978-989-758-291-2.Direct Instruction and Its Extension with a Community of Inquiry: A Comparison of Mental Workload, Performance and Efficiency., and . CSEDU (1), page 436-444. SciTePress, (2019)An Evaluation of the Reliability, Validity and Sensitivity of Three Human Mental Workload Measures Under Different Instructional Conditions in Third-Level Education., and . CSEDU (Selected Papers), volume 1022 of Communications in Computer and Information Science, page 384-413. Springer, (2018)A Novel Parabolic Model of Instructional Efficiency Grounded on Ideal Mental Workload and Performance., and . H-WORKLOAD, volume 1493 of Communications in Computer and Information Science, page 11-36. Springer, (2021)A Translation Mechanism for Recommendations., , and . IFIPTM, volume 263 of IFIP Advances in Information and Communication Technology, page 87-102. Springer, (2008)Investigating the Effect of Pre-processing Methods on Model Decision-Making in EEG-Based Person Identification., , and . xAI (3), volume 1903 of Communications in Computer and Information Science, page 131-152. Springer, (2023)An Exploration of the Latent Space of a Convolutional Variational Autoencoder for the Generation of Musical Instrument Tones., , and . xAI (3), volume 1903 of Communications in Computer and Information Science, page 470-486. Springer, (2023)Latent Space Interpretation and Visualisation for Understanding the Decisions of Convolutional Variational Autoencoders Trained with EEG Topographic Maps., and . xAI (Late-breaking Work, Demos, Doctoral Consortium), volume 3554 of CEUR Workshop Proceedings, page 65-70. CEUR-WS.org, (2023)Optimizing Deep Q-Learning Experience Replay with SHAP Explanations: Exploring Minimum Experience Replay Buffer Sizes in Reinforcement Learning., and . xAI (Late-breaking Work, Demos, Doctoral Consortium), volume 3554 of CEUR Workshop Proceedings, page 89-94. CEUR-WS.org, (2023)