Mohammad Rezaie-Balf

Environmental Engineering · 2017–2020

A researcher in the Science corpus: 5 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Environmental Engineering — 21 citations into it
• Water Science and Technology — 14 citations into it

Whom Mohammad Rezaie-Balf trusts overall

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

1. Ozgur Kisi
2. Wengang Zhang
3. Jerome H. Friedman
4. J. Ross Quinlan
5. Norden E. Huang
6. Yanfang Sang

Who trusts Mohammad Rezaie-Balf overall

1. Shahab S. Band

Papers from Mohammad Rezaie-Balf's perspective

Ordered by how strongly the researchers Mohammad Rezaie-Balf trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Nature of Statistical Learning Theory
2. Bagging Predictors
3. Regression Shrinkage and Selection via the Lasso
4. Learning internal representations by error propagation
5. Neural Networks: A Comprehensive Foundation
6. Support-Vector Networks
7. Statistical learning theory
8. The Elements of Statistical Learning
9. Statistical Learning Theory
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• Wavelet coupled MARS and M5 Model Tree approaches for groundwater level forecasting (2017) — 133 citations
• An evolutionary approach to formulate the compressive strength of roller compacted concrete pavement (2020) — 74 citations
• Daily river flow forecasting using ensemble empirical mode decomposition based heuristic regression models: Application on the perennial rivers in Iran and South Korea (2019) — 72 citations
• On the applicability of maximum overlap discrete wavelet transform integrated with MARS and M5 model tree for monthly pan evaporation prediction (2019) — 98 citations
• Prediction of compressive strength and ultrasonic pulse velocity of fiber reinforced concrete incorporating nano silica using heuristic regression methods (2018) — 115 citations