Tree Alignment Based on Needleman-Wunsch Algorithm for Sensor Selection in Smart Homes

Unsupervised Machine Learning for Developing Personalised Behaviour Models Using Activity Data

(2017) Laura Fiorini et al.   SENSORS

A supervised learning approach for behaviour recognition in smart homes

(2016) Sook-Ling Chua et al.   Journal of Ambient Intelligence and Smart Environments

On-line human activity recognition from audio and home automation sensors: Comparison of sequential and non-sequential models in realistic Smart Homes1

(2016) Pedro Chahuara et al.   Journal of Ambient Intelligence and Smart Environments

Efficient Computation of the Tree Edit Distance

(2015) Mateusz Pawlik et al.   ACM TRANSACTIONS ON DATABASE SYSTEMS

Extend tree edit distance for effective object identification

(2015) Yue Wang et al.   KNOWLEDGE AND INFORMATION SYSTEMS

User Activity Recognition in Smart Homes Using Pattern Clustering Applied to Temporal ANN Algorithm

(2015) Serge Bourobou et al.   SENSORS

Physical Human Activity Recognition Using Wearable Sensors

(2015) Ferhat Attal et al.   SENSORS

User-Independent Activity Recognition via Three-Stage GA-Based Feature Selection

(2014) Theresia Ratih Dewi Saputri et al.   International Journal of Distributed Sensor Networks

Sensor selection to support practical use of health-monitoring smart environments

(2011) Diane J. Cook et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery