A Risk-Based IoT Decision-Making Framework Based on Literature Review with Human Activity Recognition Case Studies

Fast semi-supervised evidential clustering

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Machine learning workflows to estimate class probabilities for precision cancer diagnostics on DNA methylation microarray data

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Neural Network Ensembles for Sensor-Based Human Activity Recognition Within Smart Environments

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EARC: Evidential Association Rule-based Classification

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Machine learning probability calibration for high-risk clinical decision-making

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Wearable sensors based human behavioral pattern recognition using statistical features and reweighted genetic algorithm

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A Novel Intelligent Medical Decision Support Model Based on Soft Computing and IoT

(2019) Mohamed Abdel-Basset et al.   IEEE Internet of Things Journal

An Activity Recognition Framework Deploying the Random Forest Classifier and A Single Optical Heart Rate Monitoring and Triaxial Accelerometer Wrist-Band

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A Survey of Data Semantization in Internet of Things

(2018) Feifei Shi et al.   SENSORS

An Adaptive Bayesian System for Context-Aware Data Fusion in Smart Environments

(2017) Alessandra De Paola et al.   IEEE TRANSACTIONS ON MOBILE COMPUTING

Data classification using evidence reasoning rule

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Internet of Things for Smart Healthcare: Technologies, Challenges, and Opportunities

(2017) Stephanie B. Baker et al.   IEEE Access

Probabilistic Recovery of Incomplete Sensed Data in IoT

(2017) Berihun Fekade et al.   IEEE Internet of Things Journal

IoT Considerations, Requirements, and Architectures for Smart Buildings – Energy Optimization and Next Generation Building Management Systems

(2017) Daniel Minoli et al.   IEEE Internet of Things Journal

Data quality in internet of things: A state-of-the-art survey

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Enhancing ontological reasoning with uncertainty handling for activity recognition

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Internet of Things: A Review of Surveys Based on Context Aware Intelligent Services

(2016) David Gil et al.   SENSORS

Calibration of medical diagnostic classifier scores to the probability of disease

(2016) Weijie Chen et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Extending knowledge-driven activity models through data-driven learning techniques

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Probabilistic machine learning and artificial intelligence

(2015) Zoubin Ghahramani   NATURE

The Elderly’s Independent Living in Smart Homes: A Characterization of Activities and Sensing Infrastructure Survey to Facilitate Services Development

(2015) Qin Ni et al.   SENSORS

Analyzing Activity Behavior and Movement in a Naturalistic Environment Using Smart Home Techniques

(2015) Diane J. Cook et al.   IEEE Journal of Biomedical and Health Informatics

Classification of uncertain and imprecise data based on evidence theory

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Handling Real-World Context Awareness, Uncertainty and Vagueness in Real-Time Human Activity Tracking and Recognition with a Fuzzy Ontology-Based Hybrid Method

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Sensor Data Acquisition and Processing Parameters for Human Activity Classification

(2014) Sebastian Bersch et al.   SENSORS

Cognitive Internet of Things: A New Paradigm Beyond Connection

(2014) Qihui Wu et al.   IEEE Internet of Things Journal

Probabilistic Learning From Incomplete Data for Recognition of Activities of Daily Living in Smart Homes

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Dealing with Uncertainty: A Survey of Theories and Practices

(2012) Yiping Li et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Sensor-Based Activity Recognition

(2012) Liming Chen et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE

A Framework for Supervising Lifestyle Diseases Using Long-Term Activity Monitoring

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Evidential fusion of sensor data for activity recognition in smart homes

(2008) Xin Hong et al.   Pervasive and Mobile Computing