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A novel day-ahead regional and probabilistic wind power forecasting framework using deep CNNs and conformalized regression forests
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Unlocking the potential of smartphone and ambient sensors for ADL detection
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Benchmarking whole knowledge graph embedding techniques
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Patients with chronic cluster headache may show reduced activity energy expenditure on ambulatory wrist actigraphy recordings during daytime attacks
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Acoustic and prosodic speech features reflect physiological stress but not isolated negative affect : a multi-paradigm study on psychosocial stressors
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Unlocking the potential of mHealth for smoking cessation : an expert viewpoint
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Mitigating data quality challenges in ambulatory wrist-worn wearable monitoring through analytical and practical approaches
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A comprehensive evaluation of an artificial intelligence based digital pathology to monitor large-scale deworming programs against soil-transmitted helminths : a study protocol
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A semi-supervised anomaly detection approach for detecting mechanical failures
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Point of interest recognition and tracking in aerial video during live cycling broadcasts
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Magnitude and rotation invariant detection of transportation modes with missing data modalities
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Left-right swapping and upper-lower limb pairing for robust multi-wearable workout activity detection
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Conformal predictive systems under covariate shift
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Ecologically valid speech collection in behavioral research : the Ghent Semi-spontaneous Speech Paradigm (GSSP)
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Designing a pharmacokinetic machine learning model for optimizing beta-lactam antimicrobial dosing in critically ill patients
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Unsupervised transfer learning across different data modalities for bearing's speed identification
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Context-aware deep learning with dynamically assembled weight matrices
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A microservice architecture for leak localization in water distribution networks using hybrid AI
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Context-aware query derivation for IoT data streams with DIVIDE enabling privacy by design
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TALK : tracking activities by linking knowledge