M. Abbasi

Waste Management · 2016

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom M. Abbasi trusts overall

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

1. William S. Cleveland
2. Vladimir Naumovich Vapni
3. Xindong Wu
4. Timothy W. Simpson

Papers from M. Abbasi's perspective

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

1. The Nature of Statistical Learning Theory
2. Robust Locally Weighted Regression and Smoothing Scatterplots
3. Top 10 algorithms in data mining
4. Analysis of support vector regression for approximation of complex engineering analyses (Design Automation Conference)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. The Strength of Weak Learnability
7. Projection Pursuit Regression
8. ImageNet classification with deep convolutional neural networks
9. Nearest neighbor pattern classification
10. Improved Boosting Algorithms Using Confidence-rated Predictions

Their papers

• Forecasting municipal solid waste generation using artificial intelligence modelling approaches. (2016) — 333 citations