Selene Leya Cerna Ñahuis

According to our database, Selene Leya Cerna Ñahuis authored at least 12 papers between 2019 and 2023.

Collaborative distances:

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

2023

On the application and impact of ε-DP and fairness in ambulance engagement time prediction.

Selene Cerna, Catuscia Palamidessi

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

On the Utility Gain of Iterative Bayesian Update for Locally Differentially Private Mechanisms.

Héber Hwang Arcolezi, Selene Cerna, Catuscia Palamidessi

Proceedings of the Data and Applications Security and Privacy XXXVII, 2023

2022

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).

Selene Leya Cerna Ñahuis

PhD thesis, 2022

Privacy-Preserving Prediction of Victim's Mortality and Their Need for Transportation to Health Facilities.

Héber Hwang Arcolezi, Selene Cerna, Jean-François Couchot, Christophe Guyeux, Abdallah Makhoul

IEEE Trans. Ind. Informatics, 2022

The usefulness of NLP techniques for predicting peaks in firefighter interventions due to rare events.

Selene Cerna, Christophe Guyeux, David Laiymani

Neural Comput. Appl., 2022

2021

RISE controller tuning and system identification through machine learning for human lower limb rehabilitation via neuromuscular electrical stimulation.

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

Eng. Appl. Artif. Intell., 2021

Machine learning-based forecasting of firemen ambulances' turnaround time in hospitals, considering the COVID-19 impact.

Selene Cerna, Héber Hwang Arcolezi, Christophe Guyeux, Guillaume Royer, Céline Chevallier

Appl. Soft Comput., 2021

2020

A Novel Robust and Intelligent Control Based Approach for Human Lower Limb Rehabilitation via Neuromuscular Electrical Stimulation.

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

CoRR, 2020

Forecasting the number of firefighter interventions per region with local-differential-privacy-based data.

Héber Hwang Arcolezi, Jean-François Couchot, Selene Cerna, Christophe Guyeux, Guillaume Royer, Bechara al Bouna, Xiaokui Xiao

Comput. Secur., 2020

A Comparison of LSTM and XGBoost for Predicting Firemen Interventions.

Selene Cerna, Christophe Guyeux, Héber Hwang Arcolezi, Raphaël Couturier, Guillaume Royer

Proceedings of the Trends and Innovations in Information Systems and Technologies, 2020

2019

Long Short-Term Memory for Predicting Firemen Interventions.

Selene Leya Cerna Ñahuis, Christophe Guyeux, Héber Hwang Arcolezi, Raphaël Couturier, Guillaume Royer, Anna Diva P. Lotufo

Proceedings of the 6th International Conference on Control, 2019

A RISE-based Controller Fine-tuned by an Improved Genetic Algorithm for Human Lower Limb Rehabilitation via Neuromuscular Electrical Stimulation.

Héber Hwang Arcolezi, Willian R. B. M. Nunes, Selene Leya Cerna Ñahuis, Marcelo A. A. Sanches, Marcelo C. M. Teixeira, Aparecido Augusto de Carvalho

Proceedings of the 6th International Conference on Control, 2019