Artificial Intelligence
1. A Transformer Self-attention Model for Time Series Forecasting

R. Mohammdi Farsani; E. Pazouki

Volume 9, Issue 1 , Winter and Spring 2021, , Pages 1-10

http://dx.doi.org/10.22061/jecei.2020.7426.391

Abstract
  Background and Objectives: Many real-world problems are time series forecasting (TSF) problem. Therefore, providing more accurate and flexible forecasting methods have always been a matter of interest to researchers. An important issue in forecasting the time series is the predicated time interval. Methods: ...  Read More

Artificial Intelligence
2. Using Machine Learning Methods for Automatic Bug Assignment to Developers

M. Yousefi; R. Akbari; S. M. R. Moosavi

Volume 8, Issue 2 , Summer and Autumn 2020, , Pages 263-272

http://dx.doi.org/10.22061/jecei.2020.7212.370

Abstract
  Background and Objectives: It is generally accepted that the highest cost in software development is associated with the software maintenance phase. In corrective maintenance, the main task is correcting the bugs found by the users. These bugs are submitted by the users to a Bug Tracking System (BTS). ...  Read More

Artificial Intelligence
3. Stock Price Prediction using Machine Learning and Swarm Intelligence

I. Behravan; S. M. Razavi

Volume 8, Issue 1 , Winter and Spring 2020, , Pages 31-40

http://dx.doi.org/10.22061/jecei.2020.6898.346

Abstract
  Background and Objectives: Stock price prediction has become one of the interesting and also challenging topics for researchers in the past few years. Due to the non-linear nature of the time-series data of the stock prices, mathematical modeling approaches usually fail to yield acceptable results. Therefore, ...  Read More

Artificial Intelligence
4. A New Model for Text Coherence Evaluation Using Statistical Characteristics

M. Abdolahi; M. Zahedi

Volume 6, Issue 1 , Winter and Spring 2018, , Pages 15-24

Abstract
  < p>Background and Objectives: Discourse coherence modeling evaluation becomes a critical but challenging task for all content analysis tasks in Natural Language Processing subfields, such as text summarization, question answering, text generation and machine translation. Existing methods like ...  Read More