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2020 – today
- 2022
[b1]Thinhinane Yebda:
Détection de situations à risques pour des personnes fragiles sur des données multimodales. (Detection of Risky Situations for Fragile People using Multimodal Data). University of Bordeaux, France, 2022- [j1]Rupayan Mallick
, Thinhinane Yebda, Jenny Benois-Pineau, Akka Zemmari, Marion Pech, Hélène Amieva:
Detection of Risky Situations for Frail Adults With Hybrid Neural Networks on Multimodal Health Data. IEEE Multim. 29(1): 7-17 (2022) - [c6]Rupayan Mallick, Jenny Benois-Pineau, Akka Zemmari, Thinhinane Yebda, Marion Pech, Hélène Amieva, Laura Middleton:
Pooling Transformer for Detection of Risk Events in In-The-Wild Video Ego Data. ICPR 2022: 2778-2784 - [c5]Rupayan Mallick, Jenny Benois-Pineau, Akka Zemmari, Marion Pech, Thinhinane Yebda, Hélène Amieva, Laura Middleton:
A Hybrid Transformer Network for Detection of Risk Situations on Multimodal Life-Log Health Data. ICDAR@ICMR 2022: 22-26 - 2021
- [c4]Rupayan Mallick, Thinhinane Yebda, Jenny Benois-Pineau, Akka Zemmari, Marion Pech, Hélène Amieva:
A GRU Neural Network with attention mechanism for detection of risk situations on multimodal lifelog data. CBMI 2021: 1-6 - [c3]Thinhinane Yebda, Jenny Benois-Pineau, Marion Pech, Hélène Amieva, Laura Middleton, Max Bergelt:
Multimodal Sensor Data Analysis for Detection of Risk Situations of Fragile People in @home Environments. MMM (2) 2021: 342-353 - 2020
- [c2]Thinhinane Yebda, Jenny Benois-Pineau, Marion Pech, Hélène Amièva, Cathal Gurrin:
Detection of Semantic Risk Situations in Lifelog Data for Improving Life of Frail People. ICMR 2020: 402-406
2010 – 2019
- 2019
- [c1]Thinhinane Yebda, Jenny Benois-Pineau, Hélène Amieva, Benjamin Frolicher:
Multi-sensing of fragile persons for risk situation detection: devices, methods, challenges. CBMI 2019: 1-6
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