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 (CoDIT, 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 (CoDIT, 2019)

A Comparison of LSTM and XGBoost for Predicting Firemen Interventions. - Selene Cerna; Christophe Guyeux; Héber Hwang Arcolezi; Raphaël Couturier; Guillaume Royer (WorldCIST (2), 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 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)

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)

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)

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)

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)

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 (2022)

On the Utility Gain of Iterative Bayesian Update for Locally Differentially Private Mechanisms. - Héber Hwang Arcolezi; Selene Cerna; Catuscia Palamidessi (DBSec, 2023)

On the application and impact of ε-DP and fairness in ambulance engagement time prediction. - Selene Cerna; Catuscia Palamidessi (Tiny Papers @ ICLR, 2023)