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ORCIDSelene Leya Cerna Ñahuis
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Books and Theses
- 2022
[b1]Selene Leya Cerna Ñahuis:
Prediction of interventions and optimization of resources based on machine learning and operations research for fire departments. (Prédiction des interventions et optimisation des ressources basées sur l'apprentissage automatique et la recherche opérationnelle pour les services d'incendie et secours). University of Burgundy - Franche-Comté, France, 2022
Journal Articles
- 2022
- [j5]Selene Cerna, Christophe Guyeux, David Laiymani
:
The usefulness of NLP techniques for predicting peaks in firefighter interventions due to rare events. Neural Comput. Appl. 34(12): 10117-10132 (2022) - [j4]Héber Hwang Arcolezi, Selene Cerna, Jean-François Couchot, Christophe Guyeux, Abdallah Makhoul:
Privacy-Preserving Prediction of Victim's Mortality and Their Need for Transportation to Health Facilities. IEEE Trans. Ind. Informatics 18(8): 5592-5599 (2022) - 2021
- [j3]Selene Cerna, Héber Hwang Arcolezi, Christophe Guyeux, Guillaume Royer, Céline Chevallier:
Machine learning-based forecasting of firemen ambulances' turnaround time in hospitals, considering the COVID-19 impact. Appl. Soft Comput. 109: 107561 (2021) - [j2]Héber Hwang Arcolezi, Willian R. B. M. Nunes, Rafael A. de Araujo, Selene Cerna, Marcelo A. A. Sanches, Marcelo C. M. Teixeira, Aparecido Augusto de Carvalho:
RISE controller tuning and system identification through machine learning for human lower limb rehabilitation via neuromuscular electrical stimulation. Eng. Appl. Artif. Intell. 102: 104294 (2021) - 2020
- [j1]Héber Hwang Arcolezi, Jean-François Couchot, Selene Cerna, Christophe Guyeux, Guillaume Royer, Bechara al Bouna, Xiaokui Xiao:
Forecasting the number of firefighter interventions per region with local-differential-privacy-based data. Comput. Secur. 96: 101888 (2020)
Conference and Workshop Papers
- 2023
- [c5]Héber Hwang Arcolezi, Selene Cerna, Catuscia Palamidessi:
On the Utility Gain of Iterative Bayesian Update for Locally Differentially Private Mechanisms. DBSec 2023: 165-183 - [c4]Selene Cerna, Catuscia Palamidessi:
On the application and impact of ε-DP and fairness in ambulance engagement time prediction. Tiny Papers @ ICLR 2023 - 2020
- [c3]Selene Cerna, Christophe Guyeux, Héber Hwang Arcolezi, Raphaël Couturier, Guillaume Royer:
A Comparison of LSTM and XGBoost for Predicting Firemen Interventions. WorldCIST (2) 2020: 424-434 - 2019
- [c2]Selene Leya Cerna Ñahuis, Christophe Guyeux, Héber Hwang Arcolezi, Raphaël Couturier, Guillaume Royer, Anna Diva P. Lotufo:
Long Short-Term Memory for Predicting Firemen Interventions. CoDIT 2019: 1132-1137 - [c1]Héber Hwang Arcolezi, Willian R. B. M. Nunes, Selene Leya Cerna Ñahuis, Marcelo A. A. Sanches, Marcelo C. M. Teixeira, Aparecido Augusto de Carvalho:
A RISE-based Controller Fine-tuned by an Improved Genetic Algorithm for Human Lower Limb Rehabilitation via Neuromuscular Electrical Stimulation. CoDIT 2019: 1197-1202
Informal and Other Publications
- 2023
- [i2]Héber Hwang Arcolezi, Selene Cerna, Catuscia Palamidessi:
On the Utility Gain of Iterative Bayesian Update for Locally Differentially Private Mechanisms. CoRR abs/2307.07744 (2023) - 2020
- [i1]Héber Hwang Arcolezi, Willian R. B. M. Nunes, Rafael A. de Araujo, Selene Leya Cerna Ñahuis, Marcelo A. A. Sanches, Marcelo C. M. Teixeira, Aparecido Augusto de Carvalho:
A Novel Robust and Intelligent Control Based Approach for Human Lower Limb Rehabilitation via Neuromuscular Electrical Stimulation. CoRR abs/2006.15605 (2020)
Coauthor Index
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