HAS Sothea
ITC
Data science, Machine Learning, AI, Large Language Models, Statistical Modeling, Stochastic Modeling
h-index: 3Citations: 14
Publications (15)
- The Forecasting for Cambodia’s Rice Production Using Multiple Linear Regression and Tree – Based Ensemble Learning MethodsTechno-Science Research Journal · 2026 — Sithach Thong, Sokhey Phauk
- A Recall-Oriented Learning Analytics Framework for Early Identification of At-Risk Students in Blended Learning Environments Toward Sustainable EducationTechno-Science Research Journal · 2026 — Chentra Pen, Phauk Sokkhey, Dona Valy
- A Computational Approach to Labor Market Analytics: Analyzing Skill Trends in Cambodia Using an LLM-Based PipelineTechno-Science Research Journal · 2026 — Sela Songeam, Dona Valy
- An Explainable Hybrid Machine Learning Framework for Student Profiling and Feature Attribution in Mathematics Achievement: Analysis of Cambodian High SchoolsTechno-Science Research Journal · 2026 — Tong Ly, Phauk Sokkhey, Dona Valy
- Optimal Initialization Scale for Neural Networks With Locally Quadratic Loss Landscapes: An SGD Dynamics PerspectiveIEEE Transactions on Neural Networks and Learning Systems · 2026 — Hiroshi Horii
- Short-Term Load Forecasting for the Cambodian Power System Using a Meta-Learning Ensemble of Random Forest and XGBoost Models2026 — Nop Phorn Nara, Long Bun
- Can We Detect the Decrease in Global Flight Activity over the North Atlantic during the Spring 2020 Covid-19 Lockdown from IASI Spectra?2024
- Aggregations of parametrizations and machine learning for gravity wave momentum flux reconstruction2024 — Riwal Plougonven; Aurélie Fischer; Raj Rani; Francois Lott; Albert Hertzog; Aurélien Podglajen; Milena Corcos
- Reconstructing Balloon‐Observed Gravity Wave Momentum Fluxes Using Machine Learning and Input From ERA5Journal of Geophysical Research Atmospheres · 2024 — Riwal Plougonven, Aurélie Fischer, Raj Rani, François Lott, Albert Hertzog, Aurélien Podglajen, Milena Corcos
- Gradient COBRA: A kernel-based consensual aggregation for regressionJournal of Data Science, Statistics, and Visualisation · 2023
- Consensual Aggregation on Random Projected High-dimensional Features for RegressionarXiv (Cornell University) · 2022
- Machine Learning Methods Applied to the Global Modeling of Event-Driven Pitch Angle Diffusion Coefficients During High Speed StreamsFrontiers in Physics · 2022 — G. Kluth, Jean‐François Ripoll, Aurélie Fischer, Mathilde Mougeot, Enrico Camporeale
- Exploring pitch-angle diffusion during high speed streams with neural networks2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC) · 2022 — Jean‐François Ripoll, G. Kluth, Aurélie Fischer, Mathilde Mougeot, Enrico Camporeale
- Predictive models by consensual aggregation and applications2022
- KFC: A clusterwise supervised learning procedure based on the aggregation of distancesJournal of Statistical Computation and Simulation · 2021 — Aurélie Fischer, Mathilde Mougeot