Recognition of human activities for wellness management using a smartphone and a smartwatch: A boosting approach

Two-stage consumer credit risk modelling using heterogeneous ensemble learning

(2019) Monika Papouskova et al.   DECISION SUPPORT SYSTEMS

A survey on wearable sensor modality centred human activity recognition in health care

(2019) Yan Wang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Long-term stock index forecasting based on text mining of regulatory disclosures

(2018) Stefan Feuerriegel et al.   DECISION SUPPORT SYSTEMS

Robust Human Activity Recognition using smartwatches and smartphones

(2018) Rubén San-Segundo et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Recognizing Detailed Human Context in the Wild from Smartphones and Smartwatches

(2017) Yonatan Vaizman et al.   IEEE PERVASIVE COMPUTING

Smartphone-Based Patients’ Activity Recognition by Using a Self-Learning Scheme for Medical Monitoring

(2016) Junqi Guo et al.   JOURNAL OF MEDICAL SYSTEMS

Transformational Issues of Big Data and Analytics in Networked Business

(2016) Bart Baesens et al.   MIS QUARTERLY

adabag: AnRPackage for Classification with Boosting and Bagging

(2015) Esteban Alfaro et al.   Journal of Statistical Software

A practical multi-sensor activity recognition system for home-based care

(2014) Saisakul Chernbumroong et al.   DECISION SUPPORT SYSTEMS

The Evolution of Boosting Algorithms

(2014) H. Binder et al.   METHODS OF INFORMATION IN MEDICINE

Sentiment classification: The contribution of ensemble learning

(2013) Gang Wang et al.   DECISION SUPPORT SYSTEMS

A Survey on Ambient-Assisted Living Tools for Older Adults

(2013) Parisa Rashidi et al.   IEEE Journal of Biomedical and Health Informatics

A comparative analysis of machine learning systems for measuring the impact of knowledge management practices

(2012) Dursun Delen et al.   DECISION SUPPORT SYSTEMS

Elderly activities recognition and classification for applications in assisted living

(2012) Saisakul Chernbumroong et al.   EXPERT SYSTEMS WITH APPLICATIONS

A Survey on Human Activity Recognition using Wearable Sensors

(2012) Oscar D. Lara et al.   IEEE Communications Surveys and Tutorials

An Incremental Learning Method Based on Probabilistic Neural Networks and Adjustable Fuzzy Clustering for Human Activity Recognition by Using Wearable Sensors

(2012) Zhelong Wang et al.   IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE

Activity logging using lightweight classification techniques in mobile devices

(2012) Henar Martín et al.   Personal and Ubiquitous Computing

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Online motion recognition using an accelerometer in a mobile device

(2011) D. Fuentes et al.   EXPERT SYSTEMS WITH APPLICATIONS

SVM-Based Multimodal Classification of Activities of Daily Living in Health Smart Homes: Sensors, Algorithms, and First Experimental Results

(2009) Anthony Fleury et al.   IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE

Boosting with pairwise constraints

(2009) Changshui Zhang et al.   NEUROCOMPUTING

MOPET: A context-aware and user-adaptive wearable system for fitness training

(2008) Fabio Buttussi et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE