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Discovering Instantaneous Granger Causalities in Non-stationary Categorical Time Series Data

, , , и . International Conference on Artificial Intelligence in Medicine, стр. 200--209. Springer, (2022)

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Diederik Noordveld

Job Noorman

Djahesh Noor

Fozia Noor

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Inferring Salient Motifs during Learning Experiments., , , , , и . CBMS, стр. 245-251. IEEE, (2023)Discovering Instantaneous Granger Causalities in Non-stationary Categorical Time Series Data., , , и . AIME, том 13263 из Lecture Notes in Computer Science, стр. 200-209. Springer, (2022)Assessment of Immune Status Using Inexpensive Cytokines: A Literature Review and Learning Approaches., , , , , , и . Sensors, 22 (24): 9785 (2022)Potential of Point-of-Care and At-Home Assessment of Immune Status via Rapid Cytokine Detection and Questionnaire-Based Anamnesis., , , , , и . Sensors, 21 (15): 4960 (2021)Circadian Conditional Granger Causalities on Ecological Momentary Assessment Data from an mHealth App., , , , , и . CBMS, стр. 354-359. IEEE, (2021)The Effect of Non-Personalised Tips on the Continued Use of Self-Monitoring mHealth Applications, , , , , , , , и . Brain Sciences, 10 (12): 924 (2020)Assessing the Reliability of Crowdsourced Labels via Twitter., , , , , и . LWDA, том 2454 из CEUR Workshop Proceedings, стр. 115-126. CEUR-WS.org, (2019)