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Automated Reasoning using Abduction for Interpretation of Medical Signals., и . J. Biomed. Semant., (2014)Ontology Alignment for Classification of Low Level Sensor Data., и . KEOD, стр. 89-97. SciTePress, (2012)Open-Source Data Collection and Data Sets for Activity Recognition in Smart Homes., , , , , , , и . Sensors, 20 (3): 879 (2020)Context Recognition in Multiple Occupants Situations: Detecting the Number of Agents in a Smart Home Environment with Simple Sensors., , , , , и . AAAI Workshops, том WS-17 из AAAI Technical Report, AAAI Press, (2017)CN-waterfall: a deep convolutional neural network for multimodal physiological affect detection., , и . Neural Comput. Appl., 34 (3): 2157-2176 (2022)Towards Automatic Ontology Alignmentfor Enriching Sensor Data Analysis., и . IC3K, том 415 из Communications in Computer and Information Science, стр. 179-193. Springer, (2012)Bridging the Semantic Gap between Sensor Data and Ontological Knowledge.. Örebro University, Sweden, (2015)Exploring Contextual Importance and Utility in Explaining Affect Detection., , и . AI*IA, том 12414 из Lecture Notes in Computer Science, стр. 3-18. Springer, (2020)A Neural-Symbolic Approach for User Mental Modeling: A Step Towards Building Exchangeable Identities., , и . AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, том 2846 из CEUR Workshop Proceedings, CEUR-WS.org, (2021)Towards Habit Recognition in Smart Homes for People with Dementia., , , , и . AmI, том 11912 из Lecture Notes in Computer Science, стр. 363-369. Springer, (2019)