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Knowing without telling: integrating sensing and mapping for creating an artificial companion.

, , and . SIGSPATIAL/GIS, page 11:1-11:4. ACM, (2016)

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