Search Results - "Ebrahimpour Komleh, Hossein"

MMTDNN: Multi-view Massive Training Deep Neural Network for Segmentation and Detection of Abnormal Tissues in Medical Images by Khastavaneh, Hassan, Ebrahimpour Komleh, Hossein

“…Purpose: Automated segmentation of abnormal tissues in medical images is considered as an essential part of those computer-aided detection and diagnosis…”
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Relation Extraction of Protein Complexes from Dynamic Protein-Protein Interaction Network by Mohammadi Jenghara, Moslem, Iranpour Mobarakeh, Majid, Ebrahimpour Komleh, Hossein

“…Dynamic protein-protein interaction networks (DPPIN) can confirm the conditional and temporal features of proteins and protein complexes. In addition, the…”
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Multi-input 2-dimensional deep belief network: diabetic retinopathy grading as case study by Tehrani, Amirali Amini, Nickfarjam, Ali Mohammad, Ebrahimpour-komleh, Hossein, Aghadoost, Dawood

“…The most important action in treating diabetic retinopathy is early diagnosis and its progression degree. This paper presents a two-dimensional Deep Belief…”
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Automated Segmentation of Abnormal Tissues in Medical Images by Khastavaneh, H, Ebrahimpour-komleh, H

“…Nowadays, medical image modalities are almost available everywhere. These modalities are bases of diagnosis of various diseases sensitive to specific tissue…”
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Automatic Text Summarization of COVID-19 Research Articles Using Recurrent Neural Networks and Coreference Resolution by Afsharizadeh, Mahsa, Ebrahimpour-Komleh, Hossein, Bagheri, Ayoub

“…Purpose: Pandemic COVID-19 has created an emergency for the medical community. Researchers require extensive study of scientific literature in order to…”
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Adverse Drug Reaction Detection in Social Media by Deep Learning Methods by Rezaei, Zahra, Eslami, Behnaz, Chavoshinejad, Ramyar, Totonchi, Mehdi

“…Objective Health-related studies have been recently at the heart attention of the media. Social media, such as Twitter, has become a valuable online tool to…”
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An evolutionary decomposition-based multi-objective feature selection for multi-label classification by Asilian Bidgoli, Azam, Ebrahimpour-Komleh, Hossein, Rahnamayan, Shahryar

“…Data classification is a fundamental task in data mining. Within this field, the classification of multi-labeled data has been seriously considered in recent…”
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Persian Semantic Role Labeling Based on Dependency Tree by Lazemi, Soghra, Ebrahimpour-Komleh, Hossein, Noroozi, Nasser

“…Semantic role labeling is the task of attaching semantic tags to the words according to the occurred event in the sentence. Persian semantic role labeling is a…”
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Innovative Diagnosis of Dental Diseases Using YOLO V8 Deep Learning Model by Razaghi, Marzieh, Komleh, Hossein Ebrahimpour, Dehghani, Fereshteh, Shahidi, Zahra

“…The diagnosis and identification of dental problems pose significant challenges. Traditionally, dental disease diagnosis was a manual and time-consuming…”
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Human mental search: a new population-based metaheuristic optimization algorithm by Mousavirad, Seyed Jalaleddin, Ebrahimpour-Komleh, Hossein

“…Population-based metaheuristic algorithms have become popular in recent years with them getting used in different fields such as business, medicine, and…”
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Human mental search-based multilevel thresholding for image segmentation by Mousavirad, Seyed Jalaleddin, Ebrahimpour-Komleh, Hossein

“…Multilevel thresholding is one of the principal methods of image segmentation. These methods enjoy image histogram for segmentation. The quality of…”
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Enhancing eyeglasses removal in facial images: a novel approach using translation models for eyeglasses mask completion by Esmaily, Zahra, Ebrahimpour-Komleh, Hossein

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A Levy flight-based grey wolf optimizer combined with back-propagation algorithm for neural network training by Amirsadri, Shima, Mousavirad, Seyed Jalaleddin, Ebrahimpour-Komleh, Hossein

“…In the present study, a new algorithm is developed for neural network training by combining a gradient-based and a meta-heuristic algorithm. The new algorithm…”
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Reference-point-based multi-objective optimization algorithm with opposition-based voting scheme for multi-label feature selection by Asilian Bidgoli, Azam, Ebrahimpour-Komleh, Hossein, Rahnamayan, Shahryar

“…Multi-label classification is a machine learning task to construct a model for assigning an entity in the dataset to two or more class labels. In order to…”
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Development of a multi-objective optimization evolutionary algorithm based on educational systems by Moradi, Hossein, Ebrahimpour-Komleh, Hossein

“…Multi-objective optimization is an inseparable area of optimization and plays a crucial role in terms of practicality. Almost all multi-objective optimization…”
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Automatic clustering using a local search-based human mental search algorithm for image segmentation by Mousavirad, Seyed Jalaleddin, Ebrahimpour-Komleh, Hossein, Schaefer, Gerald

“…Clustering is a commonly employed approach to image segmentation. To overcome the problems of conventional algorithms such as getting trapped in local optima,…”
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Effective image clustering based on human mental search by Mousavirad, Seyed Jalaleddin, Ebrahimpour-Komleh, Hossein, Schaefer, Gerald

“…Image segmentation is one of the fundamental techniques in image analysis. One group of segmentation techniques is based on clustering principles, where…”
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Multilevel image thresholding using entropy of histogram and recently developed population-based metaheuristic algorithms by Mousavirad, Seyed Jalaleddin, Ebrahimpour-Komleh, Hossein

“…Multilevel thresholding is one of the most broadly used approaches to image segmentation. However, the traditional techniques of multilevel thresholding are…”
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Segmentation of Diabetic Retinopathy Lesions in Retinal Fundus Images Using Multi-View Convolutional Neural Networks by Khastavaneh, Hassan, Ebrahimpour-Komleh, Hossein

“…Background: Diabetic retinopathy is one of the leading causes of blindness worldwide. Furthermore, it is considered the most important complication of diabetes…”
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Improving Persian Dependency-Based Parser Using Deep Learning by soghra lazemi, hossein Ebrahimpour-komleh, nasser Noroozi

“…One of the most important problems in computational linguistics is the grammar and, consequently, syntactic structures and structural parsing. The structural…”
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