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Théo Heitzmann

SocHAP: A New Data Driven Explainable Prediction of Battery State of Charge
2023 · Théo Heitzmann, Ahmed Samet, et al. · Lecture notes in computer science · 11
Spiking Neural Networks for Accurate and Efficient State of Health Estimation of Lithium-Ion Batteries Across Varying Temperatures
2026 · Slimane Arbaoui, Tedjani Mesbahi, et al. · IEEE Open Journal of Vehicular Technology · 3
Time Series-Based Explainable Model for Lithium-Ion Battery State of Health Prediction
2025 · Théo Heitzmann, Tedjani Mesbahi, et al. · IEEE Open Journal of Vehicular Technology · 3
Embedded Computational Cost Analysis of a Hybrid AI/Physics-Based State-of-Charge Estimation Method for Lithium-Ion Batteries
2026 · Jean Kuchly, Theo Heitzmann, et al. · IEEE Open Journal of Vehicular Technology · 1
Analyzing Degradation Mechanisms: An Explainable Multi-Task Learning Approach for Battery Forecasting
2026 · Théo Heitzmann, Amel Hidouri, et al. · International Conference on Agents and Artificial Intelligence (ICAART)
Prédiction explicable du vieillissement des batteries lithium-ion pour une prolongation intelligente de leur durée de vie dans le domaine de la mobilité électrique
2025 · Théo Heitzmann · theses.fr (ABES)
Fouille de séries temporelles pour l'explicabilité de la dégradation de l'état de charge des batteries Lithium-ion
2023 · Venuti, Massimo, Samet, Ahmed, et al. · HAL
Works count: 7
Citation count: 18
H-index: 3
I10-index: 1
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