Seyed Vahid MoravvejIsfahan University of Technology | IUT · Department of Electrical and Computer Engineering
Seyed Vahid Moravvej
Master of AI engineer
About
13
Publications
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55
Citations
Citations since 2017
Introduction
Skills and Expertise
Publications
Publications (13)
Background and Objectives: Text summarization plays an essential role in reducing time and cost in many domains such as medicine, engineering, etc. On the other hand, manual summarization requires much time. So, we need an automated system for summarizing. How to select sentences is critical in summarizing. Summarization techniques that have been i...
Myocarditis is heart muscle inflammation that is becoming more prevalent these days, especially with the prevalence of COVID-19. Noninvasive imaging cardiac magnetic resonance (CMR) can be used to diagnose myocarditis, but the interpretation is time-consuming and requires expert physicians. Computer-aided diagnostic systems can facilitate the autom...
In this paper we describe AIUT3D soccer simulation team activities and achievements briefly. We will describe our agents' skills and their behavior in team working mechanism. Our code is based on UT-Austin-Villa base code. We have modified some aspects of the base code for example the original kick skill is replaced with a new one. Moreover, we hav...
Plagiarism is one of the leading problems in academic and industrial environments, which its goal is to find the similar items in a typical document or source code. This paper proposes an architecture based on a Long Short-Term Memory (LSTM) and attention mechanism called LSTM-AM-ABC boosted by a population-based approach for parameter initializati...
Plagiarism is one of the leading problems in academic and industrial environments, which its goal is to find the similar items in a typical document or source code. This paper proposes an architecture based on a Long Short-Term Memory (LSTM) and attention mechanism called LSTM-AM-ABC boosted by a population-based approach for parameter initializati...
Text summarization in medicine can help doctors for reducing the time to access important information from countless documents. The paper offers a supervised extractive summarization method based on conditional generative adversarial networks using convolutional neural networks. Unlike previous models, which often use greedy methods to select sente...
Bidirectional LSTMs and the attention mechanism play an essential role in many areas of natural language processing. Many studies give equal importance to words, which leads to a flawed model. This research offers a method based on Attention-Based Bidirectional Long-Short Term Memory (BLSTM) to solve the problem of plagiarism at the sentence level....
Questions
Question (1)
Hi,
I have a Persian QuestionAnswering(QA) project. I use 1000 questions along with the answers as training. I use neural networks to train my model. My problem is a 1-class classification so that I give question and answer and my model must produce output 1. My problem is during testing, I ask a new question(close to training) at the time and all the answers are close to 1, while only the correct answer 1 and the wrong answers should be 0.
What techniques do you suggest to solve this problem?
