Saeid Mehdizadeh

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it

Whom Saeid Mehdizadeh trusts overall

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

1. Cândida Ferreira

Papers from Saeid Mehdizadeh's perspective

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

1. Genetic Programming: On the Programming of Computers by Means of Natural Selection
2. The Nature of Statistical Learning Theory
3. Genetic Algorithms in Search Optimization and Machine Learning
4. Generalized regression neural networks for evapotranspiration modelling
5. The Nature of Statistical Learning
6. Statistical learning theory
7. Estimation of daily pan evaporation using artificial neural network and multivariate non-linear regression (Irrigation science)
8. Application of firefly algorithm-based support vector machines for prediction of field capacity and permanent wilting point
9. A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
10. Gene Expression Programming: A New Adaptive Algorithm for Solving Problems (Complex Systems)

Their papers

• Modeling daily reference evapotranspiration via a novel approach based on support vector regression coupled with whale optimization algorithm (2020) — 229 citations
• Drought modeling using classic time series and hybrid wavelet-gene expression programming models (2020) — 62 citations
• Developing novel hybrid models for estimation of daily soil temperature at various depths (2020) — 48 citations
• Application of gene expression programming to predict daily dew point temperature (2017) — 54 citations