Latest Research in Methodology

Top Research Topics in Methodology

• Machine Learning — 34 papers
• Machine Learning — 14 papers
• Methodology — 6 papers
• Machine Learning and Data Classification — 4 papers
• Artificial Intelligence — 4 papers
• Imbalanced Data Classification Techniques — 4 papers
• Stochastic Gradient Optimization Techniques — 3 papers
• Artificial Intelligence in Healthcare — 2 papers
• Explainable Artificial Intelligence (XAI) — 2 papers
• Multi-Criteria Decision Making — 2 papers

Highest-Cited Papers

1. Mixed-integer linear optimization for semi-supervised optimal classification trees
2. Survey on Decision Tree Algorithms for Classification
3. Survey on Decision Tree Algorithms for Classification
4. Extract, Audit, Certify: A Unified Pipeline for Finding and Proving What Small Recurrent Networks Compute
5. Recursive Projection Dynamics of Neural Representations: Geometry, Dimensionality, and Task Information
6. Spherical Cauchy Variational Autoencoders: Heavy Angular Tails and Exact KL Evaluation
7. Cross-Block Conditioning in Deep Boltzmann Machines for Statistical Data Fusion
8. Auditing Fairness Reliability in Tabular In-Context Learning: Composition-Matched Controls and Practical Severity
9. Inventing a coin-flip classifier: Accounting for multiplicity in machine learning benchmark performance
10. Rank and computation of the pathlifting Jacobian of a DAG ReLU network
11. Total Variation Distance Estimation through Domain Reduction
12. LimiX-2: A Contextual Mechanism Network Towards General Structured-Data Intelligence
13. Implicit Bias and Invariance: How Hopfield Networks Efficiently Learn Graph Orbits
14. Tensor-parallel Qwen3-30B inference on Raspberry Pi 5 devices with unequal memory
15. Sharp Rates and a One-Line Correction for Spectral Representation Learning
16. Data Attribution at Scale via Influence Matrix Estimation
17. How I learned to stop worrying and love StopGrads: Stationarity, Convergence, and a case study on Flow Map Learning
18. SAILS: Surrogate-based Analysis of Interactions via Local Effect Smooths
19. PU classification under Non-SCAR: clustering-assisted logistic model with oversampling enhancement
20. Evaluating the Effect of Tree Depth on the Performance of Decision Tree Classifiers