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Gaussian Processes with Physiologically-Inspired Priors for Physical Arousal Recognition., , , , , and . EMBC, page 54-57. IEEE, (2020)CommonSense: Collaborative learning of scene semantics by robots and humans., , , and . IoPARTS@MobiSys, page 1-6. ACM, (2018)Calibrating the Classifier: Siamese Neural Network Architecture for End-to-End Arousal Recognition from ECG., and . LOD, volume 11331 of Lecture Notes in Computer Science, page 1-13. Springer, (2018)Closed-Loop Quantitative Verification of Rate-Adaptive Pacemakers., , and . ACM Trans. Cyber Phys. Syst., 2 (4): 33:1-33:31 (2018)Multi-objective optimization and analysis for the design space exploration of analog circuits and solar cells., , , , , , and . Eng. Appl. Artif. Intell., (2017)Individual Fairness Guarantees for Neural Networks., , , , and . IJCAI, page 651-658. ijcai.org, (2022)Enhancing quantum efficiency of thin-film silicon solar cells by Pareto optimality., , , , and . J. Glob. Optim., 72 (3): 491-515 (2018)Adversarial Robustness Guarantees for Classification with Gaussian Processes., , , , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 3372-3382. PMLR, (2020)Automated Recognition of Sleep Arousal Using Multimodal and Personalized Deep Ensembles of Neural Networks., , , and . CinC, page 1-4. www.cinc.org, (2018)Individual Fairness in Bayesian Neural Networks., , , and . CoRR, (2023)