Souhaib Aammou

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Souhaib Aammou trusts overall

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

  1. Leo Breiman
  2. Didrik Nielsen
  3. Albert T. Corbett
  4. Ryan Shaun Joazeiro de Baker
  5. Yoav Freund
  6. Tianqi Chen
  7. K. Koedinger

Papers from Souhaib Aammou's perspective

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

  1. Knowledge tracing: Modeling the acquisition of procedural knowledge (User modeling and user-adapted interaction)
  2. Bagging Predictors
  3. Addressing the assessment challenge with an online system that tutors as it assesses (User modeling and user-adapted interaction)
  4. Greedy function approximation: A gradient boosting machine.
  5. Deep Knowledge Tracing
  6. XGBoost: A Scalable Tree Boosting System
  7. A decision-theoretic generalization of on-line learning and an application to boosting
  8. More Accurate Student Modeling through Contextual Estimation of Slip and Guess Probabilities in Bayesian Knowledge Tracing (International Conference on Intelligent Tutoring Systems)
  9. A Data Repository for the EDM Community: The PSLC DataShop
  10. Tree Boosting With XGBoost - Why Does XGBoost Win "Every" Machine Learning Competition?

Their papers