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Yacine Amirat
- > Home > Persons > Yacine Amirat
Publications
- 2018
- [c81]Faouzi Sebbak, Sofiane Bouznad, Farid Benhammadi, Abdelghani Chibani, Yacine Amirat:
Context Awareness in Uncertain Pervasive Computing and Sensors Environment. FUSION 2018: 1-5 - 2017
- [c71]Sofiane Bouznad, Faouzi Sebbak, Yacine Amirat, Abdelghani Chibani, Farid Benhammadi:
Generalized fuzzy soft set based fusion strategy for activity classification in smart home. FUZZ-IEEE 2017: 1-6 - [c70]Sofiane Bouznad, Faouzi Sebbak, Farid Benhammadi, Yacine Amirat, Abdelghani Chibani:
Multi-observer decision making approach using power fuzzy soft sets. FUZZ-IEEE 2017: 1-6 - 2014
- [j23]Faouzi Sebbak, Farid Benhammadi, Abdelghani Chibani, Yacine Amirat, Aïcha Mokhtari:
Dempster-Shafer theory-based human activity recognition in smart home environments. Ann. des Télécommunications 69(3-4): 171-184 (2014) - [c60]Faouzi Sebbak, Farid Benhammadi, Sofiane Bouznad, Abdelghani Chibani, Yacine Amirat:
An Evidential Fusion Rule for Ambient Intelligence for Activity Recognition. Belief Functions 2014: 356-364 - [c59]Faouzi Sebbak, Farid Benhammadi, M'hamed Mataoui, Sofiane Bouznad, Yacine Amirat:
An alternative combination rule for evidential reasoning. FUSION 2014: 1-8 - 2013
- [j17]Faouzi Sebbak, Abdelghani Chibani, Yacine Amirat, Aïcha Mokhtari, Farid Benhammadi:
An evidential fusion approach for activity recognition in ambient intelligence environments. Robotics Auton. Syst. 61(11): 1235-1245 (2013) - [c56]Faouzi Sebbak, Farid Benhammadi, Abdelghani Chibani, Yacine Amirat, Aïcha Mokhtari:
New evidence combination rules for activity recognition in smart home. FUSION 2013: 46-52 - [c55]Faouzi Sebbak, Farid Benhammadi, Aïcha Mokhtari, Abdelghani Chibani, Yacine Amirat:
Evidence combination based on CSP modeling. FUSION 2013: 1111-1118 - 2012
- [c46]Faouzi Sebbak, Abdelghani Chibani, Yacine Amirat, Farid Benhammadi, Aïcha Mokhtari:
An evidential fusion approach for activity recognition under uncertainty in ambient intelligence environments. UbiComp 2012: 834-840
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