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Code for “MEL: Efficient Multi-Task Evolutionary Learning for High-Dimensional Feature Selection“--[IEEE Transactions on Knowledge and Data Engineering (TKDE 24)]

MATLAB 89.65% Python 10.35%
evolutionary-algorithms feature-selection high-dimensional-data multi-task-learning particle-swarm-optimization

mel's Introduction

👋 Hi there! I'm Wangxb

Google Scholar GitHub

I'm a researcher passionate about advancing AI, with a focus on machine learning, data mining, and optimization.

🚀 About Me

  • 🎓 AI Researcher
  • 🔬 Interests: Machine Learning, Feature Selection, Evolutionary Algorithms, LLMs
  • 💻 Tech Stack: Python, MATLAB, C++, PyTorch, Pandas, NumPy, Scikit-learn
  • 📊 GitHub Stats:

🔥 Featured Projects

🧠 Research Focus

  • Feature Selection & Engineering
  • Evolutionary Algorithms & Optimization
  • ML for Bioinformatics
  • Cancer Biomarker Identification
  • Nature-inspired Computation
  • Large Language Models

📚 Publications

Published in top journals including:

  • IEEE/ACM TCBB
  • IEEE TKDE
  • Expert Systems With Applications
  • Knowledge-Based Systems

🤝 Connect with Me

Feel free to reach out for research discussions or collaboration ideas!

mel's People

Contributors

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