Sasan Barak
Electrical and Electronic Engineering · 2015–2016
A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 15 citations into it; #9,216 of 16,539 by trust here, #14,827 by citations
- Management Science and Operations Research — 15 citations into it; #5,385 of 11,946 by trust here, #7,262 by citations
- Artificial Intelligence — 12 citations into it
- Economics and Econometrics — 8 citations into it; #15,767 of 23,481 by trust here, #20,008 by citations
- Finance — 7 citations into it
- Accounting — 6 citations into it
Whom Sasan Barak trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- G. Zhang
- J. Lewellen
- Simon S. Haykin
- Igor Kononenko
- Alper Ünler
- Erik Hjalmarsson
- V. Ediger
- Zong Woo Geem
- C. Narendra Babu
- L. Suganthi
Who trusts Sasan Barak overall
Papers from Sasan Barak's perspective
Ordered by how strongly the researchers Sasan Barak trusts endorse each paper. Same corpus, a different order for every researcher.
- Estimating Attributes: Analysis and Extensions of RELIEF
- Time series forecasting using a hybrid ARIMA and neural network model
- ARIMA forecasting of primary energy demand by fuel in Turkey
- Predicting Returns with Financial Ratios
- Neural Networks: A Comprehensive Foundation
- A hybrid forecast marketing timing model based on probabilistic neural network, rough set and C4.5
- Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches (Decision Support Systems)
- Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (Expert systems with applications)
- Predicting Global Stock Returns (Journal of Financial and Quantitative Analysis)
- Applying Artificial Neural Networks to prediction of stock price and improvement of the directional prediction index - Case study of PETR4, Petrobras, Brazil
Their papers
- Developing an approach to evaluate stocks by forecasting effective features with data mining methods (2015) — 96 citations
- Forecasting energy consumption using ensemble ARIMA-ANFIS hybrid algorithm (2016) — 312 citations