Follow
Camelia Slimani
Camelia Slimani
Post-doctoral Researcher, Lab-STICC, ENSTA Bretagne.
Verified email at ensta-bretagne.fr
Title
Cited by
Cited by
Year
K-MLIO: enabling k-means for large data-sets and memory constrained embedded systems
C Slimani, S Rubini, J Boukhobza
2019 IEEE 27th International Symposium on Modeling, Analysis, and Simulation …, 2019
72019
Accelerating random forest on memory-constrained devices through data storage optimization
C Slimani, CF Wu, S Rubini, YH Chang, J Boukhobza
IEEE Transactions on Computers, 2022
42022
Hymad: a hybrid memory-aware DVFS strategy
C Slimani, S Rubini, J Boukhobza
ACM SIGBED Review 16 (3), 45-50, 2019
42019
RaFIO: A random forest I/O-aware algorithm
C Slimani, CF Wu, YH Chang, S Rubini, J Boukhobza
Proceedings of the 36th Annual ACM Symposium on Applied Computing, 521-528, 2021
32021
Characterizing intrusion detection systems on heterogeneous embedded platforms
C Slimani, L Morge-Rollet, L Lemarchand, F Le Roy, D Espes, ...
2023 26th Euromicro Conference on Digital System Design (DSD), 278-285, 2023
12023
Training K-means on Embedded Devices: a Deadline-aware and Energy Efficient Design
HK Achira, C Slimani, J Boukhobza
2023 31st International Symposium on Modeling, Analysis, and Simulation of …, 2023
2023
PIGMMES: Partial Incremental Gaussian Mixture Model with Efficient Storage
M Bouzouad, Y Benhamadi, C Slimani, M Koudil, J Boukhobza
Per3S-Performance and Scalability of Storage Systems, 2023
2023
Energy Efficient Any-Time I/O Adaptive K-means
HK Achira, C Slimani, M Koudil, J Boukhobza
Per3S-Performance and Scalability of Storage Systems, 2023
2023
Vers des algorithmes d'apprentissage automatique économes en E/S pour les systèmes embarqués: application aux K-means et Random Forests
C Slimani
Université de Bretagne occidentale-Brest, 2022
2022
Accelerating Random Forest on Memory-Constrained Devices through Data Storage Reorganization
C Slimani, S Rubini, CF Wu, YH Chang, J Boukhobza
Conférence francophone d'informatique en Parallélisme, Architecture et Système, 2021
2021
Additional Reviewers MASCOTS 2020
A Abdelhamed, M Afifi, AH Ahmed, P Amaro, E Barbierato, L Beierlieb, ...
A Study on Characterizing Energy, Latency and Security for Intrusion Detection Systems on Heterogeneous Embedded Platforms
C Slimani, L Morge-Rollet, L Lemarchand, D Espes, F Le Roy, ...
Latency and Security for Intrusion Detection Systems on Heterogeneous …, 0
The system can't perform the operation now. Try again later.
Articles 1–12