M. Yağcı

Computer Science Applications · 2022

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom M. Yağcı trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Wanli Xing
  2. Raheela Asif
  3. Dursun Delen
  4. Rui Guo
  5. Agathe Merceron
  6. Shaobo Huang
  7. Ian H. Witten
  8. Eva Petakovic
  9. Syed Abbas Ali
  10. Sean Patrick Goggins

Papers from M. Yağcı's perspective

Ordered by how strongly the researchers M. Yağcı trusts endorse each paper. Same corpus, a different order for every researcher.

  1. The current landscape of learning analytics in higher education (Computers in Human Behavior)
  2. Predicting student academic performance in an engineering dynamics course: A comparison of four types of predictive mathematical models (Comput. Educ.)
  3. A comparative analysis of machine learning techniques for student retention management (Decision Support Systems)
  4. Data Mining: Practical Machine Learning Tools and Techniques, 3/E
  5. Analyzing undergraduate students' performance using educational data mining (Comput. Educ.)
  6. Participation-based student final performance prediction model through interpretable Genetic Programming: Integrating learning analytics, educational data mining and theory (Computers in Human Behavior)
  7. Predicting academic performance of students from VLE big data using deep learning models (Computers in Human Behavior)
  8. Educational Data Mining: A Review of the State of the Art (IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews))
  9. Course signals at Purdue: using learning analytics to increase student success (International Conference on Learning Analytics and Knowledge)
  10. The State of Educational Data Mining in 2009: A Review and Future Visions. (Educational Data Mining)

Their papers