Joint Learning of Temporal Models to Handle Imbalanced Data for Human Activity Recognition

Activity Recognition for IoT Devices Using Fuzzy Spatio-Temporal Features as Environmental Sensor Fusion

(2019) Miguel Ángel López Medina et al.   SENSORS

Efficient Activity Recognition in Smart Homes Using Delayed Fuzzy Temporal Windows on Binary Sensors

(2019) Rebeen Ali Hamad et al.   IEEE Journal of Biomedical and Health Informatics

Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges

(2018) Henry Friday Nweke et al.   EXPERT SYSTEMS WITH APPLICATIONS

Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

(2018) Tom Young et al.   IEEE Computational Intelligence Magazine

GCHAR: An efficient Group-based Context—aware human activity recognition on smartphone

(2018) Liang Cao et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

Deep learning for sensor-based activity recognition: A Survey

(2018) Jindong Wang et al.   PATTERN RECOGNITION LETTERS

Comparison of Feature Learning Methods for Human Activity Recognition Using Wearable Sensors

(2018) Frédéric Li et al.   SENSORS

A new approach based on temporal sub-windows for online sensor-based activity recognition

(2018) Macarena Espinilla et al.   Journal of Ambient Intelligence and Humanized Computing

Ensemble classifier of long short-term memory with fuzzy temporal windows on binary sensors for activity recognition

(2018) Javier Medina-Quero et al.   EXPERT SYSTEMS WITH APPLICATIONS

An Adaptive Multi-Sensor Data Fusion Method Based on Deep Convolutional Neural Networks for Fault Diagnosis of Planetary Gearbox

(2017) Luyang Jing et al.   SENSORS

Deep Recurrent Neural Networks for Human Activity Recognition

(2017) Abdulmajid Murad et al.   SENSORS

Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition

(2016) Francisco Ordóñez et al.   SENSORS

A novel ensemble method for classifying imbalanced data

(2015) Zhongbin Sun et al.   PATTERN RECOGNITION

Analysis and effects of smart home dataset characteristics for daily life activity recognition

(2013) Iram Fatima et al.   JOURNAL OF SUPERCOMPUTING

Activity Recognition Using Hybrid Generative/Discriminative Models on Home Environments Using Binary Sensors

(2013) Fco. Javier Ordóñez et al.   SENSORS

A Survey on Human Activity Recognition using Wearable Sensors

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

A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches

(2011) M. Galar et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE

An activity monitoring system for elderly care using generative and discriminative models

(2010) T. L. M. van Kasteren et al.   Personal and Ubiquitous Computing

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING