Mahsa Hasanpour Kashani

Theoretical and Applied Climatology · 2018

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

Whom Mahsa Hasanpour Kashani trusts overall

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

  1. Hsuan-Tien Lin
  2. M. Günay

Who trusts Mahsa Hasanpour Kashani overall

  1. Babak Mohammadi
  2. Ozgur Kisi

Papers from Mahsa Hasanpour Kashani's perspective

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

  1. Performance metrics for climate models
  2. Artificial intelligence based models for stream-flow forecasting: 2000-2015
  3. Application of firefly algorithm-based support vector machines for prediction of field capacity and permanent wilting point
  4. Forecasting annual gross electricity demand by artificial neural networks using predicted values of socio-economic indicators and climatic conditions: Case of Turkey
  5. A new hybrid Modified Firefly Algorithm and Support Vector Regression model for accurate Short Term Load Forecasting (Expert systems with applications)
  6. Support Vector Regression Machines
  7. Forecasting Evaporative Loss by Least-Square Support-Vector Regression and Evaluation with Genetic Programming, Gaussian Process, and Minimax Probability Machine Regression: Case Study of Brisbane…
  8. Estimation of monthly evaporative loss using relevance vector machine, extreme learning machine and multivariate adaptive regression spline models (Stochastic environmental research and risk assessment (Print))
  9. Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature
  10. A Study on Sigmoid Kernels for SVM and the Training of non-PSD Kernels by SMO-type Methods

Their papers