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Toadstool: a dataset for training emotional intelligent machines playing Super Mario Bros., , , , , , , , , and . MMSys, page 309-314. ACM, (2020)Prediction of schizophrenia from activity data using hidden Markov model parameters., , , , and . Neural Comput. Appl., 35 (8): 5619-5630 (March 2023)Diagnosing Schizophrenia from Activity Records using Hidden Markov Model Parameters., , , , , and . CBMS, page 432-437. IEEE, (2021)Depresjon: a motor activity database of depression episodes in unipolar and bipolar patients., , , , , , and . MMSys, page 472-477. ACM, (2018)Motor Activity Based Classification of Depression in Unipolar and Bipolar Patients., , , , , , and . CBMS, page 316-321. IEEE Computer Society, (2018)Mental health monitoring with multimodal sensing and machine learning: A survey., , , , , and . Pervasive Mob. Comput., (2018)Affect recognition in muscular response signals., , , , , , and . (March 2023)Long-Short Ensemble Network for Bipolar Manic-Euthymic State Recognition Based on Wrist-worn Sensors., , , , , , and . CoRR, (2021)PSYKOSE: A Motor Activity Database of Patients with Schizophrenia., , , , , , , , , and . CBMS, page 303-308. IEEE, (2020)Long-Short Ensemble Network for Bipolar Manic-Euthymic State Recognition Based on Wrist-Worn Sensors., , , , , , and . IEEE Pervasive Comput., 21 (2): 20-31 (2022)