Niall M. Adams

Artificial Intelligence · 2009–2012

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Niall M. Adams trusts overall

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

  1. Thomas G. Dietterich
  2. Eric R. Ziegel
  3. David J. Hand
  4. João Gama
  5. Arthur B. Yeh

Who trusts Niall M. Adams overall

  1. Aisha Abdallah
  2. Firas Bayram
  3. Peng Zhao

Papers from Niall M. Adams's perspective

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

  1. Pattern classification and scene analysis
  2. Detecting Concept Drift with Support Vector Machines (International Conference on Machine Learning)
  3. Learning in the Presence of Concept Drift and Hidden Contexts
  4. Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
  5. Learning with Drift Detection
  6. Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts
  7. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
  8. Unsupervised Profiling Methods for Fraud Detection
  9. Idiot's Bayes—Not So Stupid After All?
  10. CUSUM Charts for Signalling Varying Location Shifts

Their papers