Fully Convolutional Network Bootstrapped by Word Encoding and Embedding for Activity Recognition in Smart Homes. - Damien Bouchabou; Sao Mai Nguyen; Christophe Lohr; Benoit Leduc; Ioannis Kanellos (CoRR, 2020)

Using Language Model to Bootstrap Human Activity Recognition Ambient Sensors Based in Smart Homes. - Damien Bouchabou; Sao Mai Nguyen; Christophe Lohr; Benoit Leduc; Ioannis Kanellos (CoRR, 2021)

A Survey of Human Activity Recognition in Smart Homes Based on IoT Sensors Algorithms: Taxonomies, Challenges, and Opportunities with Deep Learning. - Damien Bouchabou; Sao Mai Nguyen; Christophe Lohr; Benoit Leduc; Ioannis Kanellos (Sensors, 2021)

Real-Time Human Activity Recognition in Smart Home on Embedded Equipment: New Challenges. - Houda Najeh; Christophe Lohr; Benoit Leduc (ICOST, 2022)

Dynamic Segmentation of Sensor Events for Real-Time Human Activity Recognition in a Smart Home Context. - Houda Najeh; Christophe Lohr; Benoit Leduc (Sensors, 2022)

Reconnaissance d'activités de la vie quotidienne au moyen de capteurs domotiques et d'apprentissage profond : lorsque syntaxe, sémantique et contexte se rencontrent. - Damien Bouchabou; Sao Mai Nguyen; Christophe Lohr; Ioannis Kanellos; Benoit Leduc (Rev. Ouverte Intell. Artif., 2023)

Convolutional Neural Network Bootstrapped by Dynamic Segmentation and Stigmergy-Based Encoding for Real-Time Human Activity Recognition in Smart Homes. - Houda Najeh; Christophe Lohr; Benoit Leduc (Sensors, 2023)