Search Results - "Basiri, Mohammad Ehsan"

Face Recognition with Triangular Fuzzy Set-Based Local Cross Patterns in Wavelet Domain by Tuncer, Turker, Dogan, Sengul, Abdar, Moloud, Ehsan Basiri, Mohammad, Pławiak, Paweł

“…In this study, a new face recognition architecture is proposed using fuzzy-based Discrete Wavelet Transform (DWT) and fuzzy with two novel local graph…”
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ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis by Basiri, Mohammad Ehsan, Nemati, Shahla, Abdar, Moloud, Cambria, Erik, Acharya, U. Rajendra

“…Sentiment analysis has been a hot research topic in natural language processing and data mining fields in the last decade. Recently, deep neural network (DNN)…”
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Energy choices in Alaska: Mining people's perception and attitudes from geotagged tweets by Abdar, Moloud, Basiri, Mohammad Ehsan, Yin, Junjun, Habibnezhad, Mahmoud, Chi, Guangqing, Nemati, Shahla, Asadi, Somayeh

“…Alaska is at the forefront of climate change and subject to salient challenges including energy consumption. It is important to understand Alaskans'…”
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Text feature selection using ant colony optimization by Aghdam, Mehdi Hosseinzadeh, Ghasem-Aghaee, Nasser, Basiri, Mohammad Ehsan

“…Feature selection and feature extraction are the most important steps in classification systems. Feature selection is commonly used to reduce dimensionality of…”
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A Hybrid Latent Space Data Fusion Method for Multimodal Emotion Recognition by Nemati, Shahla, Rohani, Reza, Basiri, Mohammad Ehsan, Abdar, Moloud, Yen, Neil Y., Makarenkov, Vladimir

“…Multimodal emotion recognition is an emerging interdisciplinary field of research in the area of affective computing and sentiment analysis. It aims at…”
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Predicting the Helpfulness Score of Product Reviews Using an Evidential Score Fusion Method by Fouladfar, Fatemeh, Dehkordi, Mohammad Naderi, Basiri, Mohammad Ehsan

“…Everyday many online product sales websites and specialized reviewing forums publish a massive volume of human-generated product reviews. People use these…”
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Exploiting reviewers’ comment histories for sentiment analysis by Basiri, Mohammad Ehsan, Ghasem-Aghaee, Nasser, Naghsh-Nilchi, Ahmad Reza

“…Sentiment analysis is used to extract people’s opinion from their online comments in order to help automated systems provide more precise recommendations…”
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Improving Sentiment Polarity Detection Through Target Identification by Basiri, Mohammad Ehsan, Abdar, Moloud, Kabiri, Arman, Nemati, Shahla, Zhou, Xujuan, Allahbakhshi, Forough, Yen, Neil Y.

“…In an opinionated long review, there may be several targets described by different potential terms. Traditional review-level techniques for Persian sentiment…”
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A novel fusion-based deep learning model for sentiment analysis of COVID-19 tweets by Basiri, Mohammad Ehsan, Nemati, Shahla, Abdar, Moloud, Asadi, Somayeh, Acharrya, U. Rajendra

“…Undoubtedly, coronavirus (COVID-19) has caused one of the biggest challenges of all times. The ongoing COVID-19 pandemic has caused more than 150 million…”
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HOMPer: A new hybrid system for opinion mining in the Persian language by Basiri, Mohammad Ehsan, Kabiri, Arman

“…Opinion mining is a subfield of data mining and natural language processing that concerns with extracting users’ opinion and attitude towards products or…”
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A novel method for sentiment classification of drug reviews using fusion of deep and machine learning techniques by Basiri, Mohammad Ehsan, Abdar, Moloud, Cifci, Mehmet Akif, Nemati, Shahla, Acharya, U. Rajendra

“…Nowadays, the development of new computer-based technologies has led to rapid increase in the volume of user-generated textual content on the website…”
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A new hybrid approach for cold load restoration using deep learning by Mirbagheri, Seyed Mohsen, Derakhshandeh, Sayed Yaser, Rohani, Reza, Basiri, Mohammad Ehsan

“…•Application of Load Transferring with CVR (LTCM) to accelerate restoration of cold loads.•Application of the deep networks in optimization process for solving…”
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Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach by Nasarian, Elham, Abdar, Moloud, Fahami, Mohammad Amin, Alizadehsani, Roohallah, Hussain, Sadiq, Basiri, Mohammad Ehsan, Zomorodi-Moghadam, Mariam, Zhou, Xujuan, Pławiak, Paweł, Acharya, U. Rajendra, Tan, Ru-San, Sarrafzadegan, Nizal

“…•Automated classification of normal and CAD classes.•A new work-related coronary artery disease (CAD) data set.•Proposed a novel heterogeneous hybrid feature…”
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A mixed solution-based high agreement filtering method for class noise detection in binary classification by Samami, Maryam, Akbari, Ebrahim, Abdar, Moloud, Plawiak, Pawel, Nematzadeh, Hossein, Basiri, Mohammad Ehsan, Makarenkov, Vladimir

“…Classification of noisy data has been a longstanding topic in data mining and machine learning. Many scientists have proposed effective methods to detect and…”
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A novel ACO–GA hybrid algorithm for feature selection in protein function prediction by Nemati, Shahla, Basiri, Mohammad Ehsan, Ghasem-Aghaee, Nasser, Aghdam, Mehdi Hosseinzadeh

“…Protein function prediction is an important problem in functional genomics. Typically, protein sequences are represented by feature vectors. A major problem of…”
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An improved evidence-based aggregation method for sentiment analysis by Jamadi Khiabani, Parisa, Basiri, Mohammad Ehsan, Rastegari, Hamid

“…Sentiment analysis is one of the natural language processing tasks used to find reviews expressed in online texts and classify them into different classes. One…”
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Sentiment Analysis of Corona-Related Tweets in Iran Using Deep Neural Network by Mohammad Ehsan Basiri, Shirin Habibi, Shahla Nemati

“…With the spread of Covid-19 disease, quarantine, and social isolation, people are increasingly posting their opinions about the coronavirus on social networks…”
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A comprehensive analysis of adverb types for mining user sentiments on amazon product reviews by Chauhan, Ummara Ahmed, Afzal, Muhammad Tanvir, Shahid, Abdul, Abdar, Moloud, Basiri, Mohammad Ehsan, Zhou, Xujuan

“…Online shopping websites like Amazon stipulate a platform to the users where they can share their opinions about different products. Recently, it has been…”
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The effect of aggregation methods on sentiment classification in Persian reviews by Basiri, Mohammad Ehsan, Kabiri, Arman, Abdar, Moloud, Mashwani, Wali Khan, Yen, Neil Y., Hung, Jason C.

“…One of the most essential parts of every sentiment analysis application is the aggregation mechanism used to combine results obtained from a lower granularity…”
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Automated identification of security discussions in microservices systems: Industrial surveys and experiments by Rezaei Nasab, Ali, Shahin, Mojtaba, Liang, Peng, Basiri, Mohammad Ehsan, Hoseyni Raviz, Seyed Ali, Khalajzadeh, Hourieh, Waseem, Muhammad, Naseri, Amineh

“…Lack of awareness and knowledge of microservices-specific security challenges and solutions often leads to ill-informed security decisions in microservices…”
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