:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteur principal:	Tertulino, Rodrigo
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Computers and Society
Accès en ligne:	https://arxiv.org/abs/2509.00086
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata
par: Tertulino, Rodrigo, et autres
Publié: (2025)

A Comparative Benchmark of Federated Learning Strategies for Mortality Prediction on Heterogeneous and Imbalanced Clinical Data
par: Tertulino, Rodrigo
Publié: (2025)

Evaluating Federated Learning for At-Risk Student Prediction: A Comparative Analysis of Model Complexity and Data Balancing
par: Tertulino, Rodrigo, et autres
Publié: (2025)

Privacy-Preserving Personalization in Education: A Federated Recommender System for Student Performance Prediction
par: Tertulino, Rodrigo, et autres
Publié: (2025)

A Robust Pipeline for Differentially Private Federated Learning on Imbalanced Clinical Data using SMOTETomek and FedProx
par: Tertulino, Rodrigo
Publié: (2025)

A Robust Framework for Secure Cardiovascular Risk Prediction: An Architectural Case Study of Differentially Private Federated Learning
par: Tertulino, Rodrigo, et autres
Publié: (2026)

Research on Education Big Data for Students Academic Performance Analysis based on Machine Learning
par: Wang, Chun, et autres
Publié: (2024)

Feature Engineering on LMS Data to Optimize Student Performance Prediction
par: Hubbard, Keith, et autres
Publié: (2025)

A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining
par: Lin, Yuanguo, et autres
Publié: (2023)

A Review of Data Mining in Personalized Education: Current Trends and Future Prospects
par: Xiong, Zhang, et autres
Publié: (2024)

The Transition from Centralized Machine Learning to Federated Learning for Mental Health in Education: A Survey of Current Methods and Future Directions
par: Ebrahimi, Maryam, et autres
Publié: (2025)

Machine Learning-Driven Student Performance Prediction for Enhancing Tiered Instruction
par: Chen, Yawen, et autres
Publié: (2025)

A Comparative Analysis of Student Performance Predictions in Online Courses using Heterogeneous Knowledge Graphs
par: Trask, Thomas, et autres
Publié: (2024)

Towards An Online Incremental Approach to Predict Students Performance
par: Labba, Chahrazed, et autres
Publié: (2024)

Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics
par: Chu, Yun-Wei, et autres
Publié: (2022)

Evaluation of Machine Learning Models in Student Academic Performance Prediction
par: Sandeepa, A. G. R., et autres
Publié: (2025)

Improvement of Applicability in Student Performance Prediction Based on Transfer Learning
par: Zhao, Yan
Publié: (2024)

Evaluating Algorithmic Bias in Models for Predicting Academic Performance of Filipino Students
par: Švábenský, Valdemar, et autres
Publié: (2024)

Data vs. Model Machine Learning Fairness Testing: An Empirical Study
par: Shome, Arumoy, et autres
Publié: (2024)

Deep Active Learning for Data Mining from Conflict Text Corpora
par: Croicu, Mihai
Publié: (2024)

A Comparative Analysis of Traditional and Deep Learning Time Series Architectures for Influenza A Infectious Disease Forecasting
par: Agyemang, Edmund F., et autres
Publié: (2025)

ClickTree: A Tree-based Method for Predicting Math Students' Performance Based on Clickstream Data
par: Rohani, Narjes, et autres
Publié: (2024)

Accurate Multi-Category Student Performance Forecasting at Early Stages of Online Education Using Neural Networks
par: Junejo, Naveed Ur Rehman, et autres
Publié: (2024)

Predicting and Understanding College Student Mental Health with Interpretable Machine Learning
par: Chowdhury, Meghna Roy, et autres
Publié: (2025)

A Deep Learning Approach Towards Student Performance Prediction in Online Courses: Challenges Based on a Global Perspective
par: Moubayed, Abdallah, et autres
Publié: (2024)

Trustworthy Blockchain-based Federated Learning for Electronic Health Records: Securing Participant Identity with Decentralized Identifiers and Verifiable Credentials
par: Tertulino, Rodrigo, et autres
Publié: (2026)

FedMood: Federated Learning on Mobile Health Data for Mood Detection
par: Xu, Xiaohang, et autres
Publié: (2021)

Training Fair Models in Federated Learning without Data Privacy Infringement
par: Che, Xin, et autres
Publié: (2021)

Predicting Learning Performance with Large Language Models: A Study in Adult Literacy
par: Zhang, Liang, et autres
Publié: (2024)

A Frugal Model for Accurate Early Student Failure Prediction
par: Gagaoua, Ikram, et autres
Publié: (2025)

Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study
par: Smolyak, Daniel, et autres
Publié: (2024)

Trajectory Data Management and Mining: A Survey from Deep Learning to the LLM Era
par: Chen, Wei, et autres
Publié: (2024)

Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features
par: Yoneda, Shunsuke, et autres
Publié: (2025)

AI-Driven Strategies for Reducing Student Withdrawal -- A Study of EMU Student Stopout
par: Zhao, Yan, et autres
Publié: (2024)

Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning
par: Gado, Elena Grazia, et autres
Publié: (2024)

Machine Learning Predicts Upper Secondary Education Dropout as Early as the End of Primary School
par: Psyridou, Maria, et autres
Publié: (2024)

Deep Learning for Educational Data Science
par: Pinto, Juan D., et autres
Publié: (2024)

A Comparative Simulation Study of the Fairness and Accuracy of Predictive Policing Systems in Baltimore City
par: Semsar, Samin, et autres
Publié: (2026)

A Comparative Analysis of Wealth Index Predictions in Africa between three Multi-Source Inference Models
par: Karsai, Márton, et autres
Publié: (2024)

Post-Fair Federated Learning: Achieving Group and Community Fairness in Federated Learning via Post-processing
par: Duan, Yuying, et autres
Publié: (2024)