Camélia Slimani

According to our database, Camélia Slimani authored at least 10 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A study on characterizing energy, latency and security for Intrusion Detection Systems on heterogeneous embedded platforms.

Camélia Slimani, Louis Morge-Rollet, Laurent Lemarchand, David Espes, Frédéric Le Roy, Jalil Boukhobza

Future Gener. Comput. Syst., 2025

2024

PIGMMaLIOn: a Partial Incremental Gaussian Mixture Model with a Low I/O Design.

Meriem Bouzouad, Yasmine Benhamadi, Camélia Slimani, Jalil Boukhobza

Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

HeROcache: Storage-Aware Scheduling in Heterogeneous Serverless Edge - The Case of IDS.

Vincent Lannurien, Camélia Slimani, Laurent d'Orazio, Olivier Barais, Stéphane Paquelet, Jalil Boukhobza

Proceedings of the 24th IEEE International Symposium on Cluster, 2024

2023

Accelerating Random Forest on Memory-Constrained Devices Through Data Storage Optimization.

Camélia Slimani, Chun-Feng Wu, Stéphane Rubini, Yuan-Hao Chang, Jalil Boukhobza

IEEE Trans. Computers, June, 2023

Training K-Means on Embedded Devices: A Deadline-Aware and Energy Efficient Design.

Hafsa Kara Achira, Camélia Slimani, Jalil Boukhobza

Proceedings of the 31st International Symposium on Modeling, 2023

Characterizing Intrusion Detection Systems On Heterogeneous Embedded Platforms.

Camélia Slimani, Louis Morge-Rollet, Laurent Lemarchand, Frédéric Le Roy, David Espes, Jalil Boukhobza

Proceedings of the 26th Euromicro Conference on Digital System Design, 2023

2022

Vers des algorithmes d'apprentissage automatique économes en E/S pour les systèmes embarqués : application aux K-means et Random Forests. (Towards I/O-efficient Edge Intelligence algorithms : K-means and Random Forests).

Camélia Slimani

PhD thesis, 2022

2021

RaFIO: a random forest I/O-aware algorithm.

Camélia Slimani, Chun-Feng Wu, Yuan-Hao Chang, Stéphane Rubini, Jalil Boukhobza

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

2019

HyMAD: a hybrid memory-aware DVFS strategy.

Camélia Slimani, Stéphane Rubini, Jalil Boukhobza

SIGBED Rev., 2019

K -MLIO: Enabling K -Means for Large Data-Sets and Memory Constrained Embedded Systems.

Camélia Slimani, Stéphane Rubini, Jalil Boukhobza

Proceedings of the 27th IEEE International Symposium on Modeling, 2019