Latest Research in Machine Learning and Computational Intelligence

Top Research Topics in Machine Learning and Computational Intelligence

• Machine Learning — 1,770 papers
• Computation and Language — 1,418 papers
• Computer Vision and Pattern Recognition — 1,093 papers
• Artificial Intelligence — 1,023 papers
• Cryptography and Security — 755 papers
• Robotics — 606 papers
• Software Engineering — 284 papers
• Distributed, Parallel, and Cluster Computing — 223 papers
• Machine Learning — 151 papers
• Advanced Battery Technologies Research — 141 papers

Highest-Cited Papers

1. Detection Is Not Containment: A 168-Hour Model of Alert-to-Enforcement Latency in IT and OT (2 citations)
2. The Cosine Drainage Theorem: A Rank-One Proof and a Cross-Family Conjecture for Embedded Non-Regular Graphs (5 citations)
3. A More Precise Elbow Method For Optimum K-means Clustering (7 citations)
4. Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models (40 citations)
5. Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges (3 citations)
6. What is the Role of Small Models in the LLM Era: A Survey (6 citations)
7. Multi-resolution enhancement for full-spectrum neural representations (2 citations)
8. Detecting Adversarial Perturbations in AI-Generated Code: A Three-Tier Detectability Hierarchy (2 citations)
9. AI-coupled HPC Workflow Applications, Middleware and Performance (11 citations)
10. Residual distribution predictive systems (1 citations)
11. Few-shot neuromorphic vision in a nonlinear photonic network laser (2 citations)
12. Performance analysis and deployment considerations of post-quantum cryptography for consumer Electronics (2 citations)
13. A privacy-preserving data augmentation approach for credit card fraud detection (1 citations)
14. Conformal prediction for multi-label learning: a review of methods and guarantees (1 citations)
15. Uncertainty-aware large language models: a scoping review of conformal prediction methods (1 citations)
16. Model-Based Learning of Whittle indices (1 citations)
17. CliPS: How to identify cluster distributions in Bayesian mixture models
18. A Survey on Foundation Models for Personalized Federated Intelligence (1 citations)
19. Recommendations for visual predictive checks in Bayesian workflow (1 citations)
20. Training Machine Learning Models at the Edge: A Survey (8 citations)

Sub-Regions

• Large Language Models — 6,482 papers
• Adversarial Cyber Security — 2,106 papers
• Distributed Computing Architectures — 1,527 papers
• Statistical Learning Theory — 1,422 papers
• Neuromorphic Hardware Materials — 463 papers