
Mohammad ali SoltanshahiTarbiat Modares University | TMU · Department of Industrial Engineering
Mohammad ali Soltanshahi
Doctor of Engineering
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20
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Publications
Publications (20)
Entity alignment models commonly rely on representation learning, with many also employing bootstrapping techniques to improve performance. In this paper, we present an innovative heuristic bootstrapping model designed to validate and enhance the results produced by conventional bootstrapping methods. Our approach leverages pseudo-anchor relationsh...
The transformation of fashion through online platforms has spurred a need for high-quality clothing search engines, facilitating seamless product discovery for global consumers. However, this transition has brought forth challenges in categorization and description standards among retailers and search engines, stemming from the inherent complexity...
Healthcare data is a valuable resource for research, analysis, and decision-making in the medical field. However, healthcare data is often fragmented and distributed across various sources, making it challenging to combine and analyze effectively. Record linkage, also known as data matching, is a crucial step in integrating and cleaning healthcare...
Link prediction (LP) has many applications in various fields. Much research has been carried out on the LP field, and one of the most critical problems in LP models is handling one-to-many and many-to-many relationships. To the best of our knowledge, there is no research on discriminative fine-tuning (DFT). DFT means having different learning rates...
Social media will continue growing rapidly and integration of social media information has become important. Information integration and many tasks require graph alignment or finding the same nodes in different networks. There are several methods for graph alignment. Many of these methods introduce a new feature vector to represents node structure....
This article proposes a new method for image classification and image retrieval. The advantages of the proposed method are its high performance and requiring less memory compared to other methods. In order to extract image features, a Convolutional Neural Network (CNN), AlexNet, has been used. For image classification, we design a committee of four...
— Recently, interests in the appliance of deep learning techniques in natural language processing tasks considerably increased. Sentiment analysis is one of the most difficult tasks in natural language processing, mostly in the Persian Language. Thousands of websites, blogs, social networks like Telegram, Instagram and Twitter update, and modify by...
Segmenting moving objects from various video streams especially in the presence of complex dynamic backgrounds is one of the most pivotal and fundamental tasks in computer vision. Although there are many high quality proposals for moving object detection and segmentation, still some issues such as sudden changes in illumination, camera jitter, sway...
Histon and feature extracted by it, Basic Histon Roughness Index (BHRI), have been previously employed in image segmentation and moving object detection with outstanding performances. This work incorporates Atanassov's Intuitionistic Fuzzy Sets (A-IFS) theory to the concept of histon and extends 3D Basic Histon Roughness Index (3DBHRI) to Atanassov...
Handwritten digit recognition has long been a challenging problem in the field of optical character recognition and of great importance in industry. This paper develops a new approach for handwritten digit recognition that uses a small number of patterns for training phase. To improve performance of isolated Farsi/Arabic handwritten digit recogniti...
This paper presents a new methodology to retrieve images of different scenes by introducing a novel image descriptor. The proposed descriptor works with Scale Invariant Feature Transform (SIFT), Histogram of Oriented Gradients (HOG), Local Binary Patterns (LBP), Local Derivative Pattern (LDP), Local Ternary Pattern (LTP) and any other feature descr...
Today, image classification is considered as one of the most important and challenging tasks in computer vision. This paper presents a new method for image classification using Bag Of Visual Words and Local Binary Patterns (LBP). The bag-of-visual-words (BoVW) model has been proven to be very efficient for image classification and image retrieval....
Face detection shows a challenging problem in the field of image analysis and computer vision and therefore it has received a great deal of attention over the last few years because of its many applications in various areas. In this paper we propose a new method for face detection using an Extended version of Bag of Visual Words (EBoVW). Two extens...
The large amounts of image collections available from a variety of sources have posed increasing technical challenges to computer systems to store/transmit and index/manage the image data to make such collections easily accessible. To search and retrieve the expected images from the database a Content Based Image Retrieval (CBIR) system is highly d...
The large amounts of image collections available from a variety of sources have posed increasing technical challenges to computer systems to store/transmit and index/manage the image data to make such collections easily accessible. To search and retrieve the expected images from the data base a Content Based Image Retrieval (CBIR) system is highly...
This paper investigates a new method for improving the learning
algorithm of Mixture of Experts (ME) model using a hybrid of Modified
Cuckoo Search (MCS) and Conjugate Gradient (CG) as a second order
optimization technique. The CG technique is combined with
Back-Propagation (BP) algorithm to yield a much more efficient learning
algorithm for ME str...
Recognition of the boundary of an object in medical images and segmenting it from the background(s) class is a major challenge in medical image processing. In this paper, we introduce an adaptive B-Spline Snake algorithm that overcomes the limitations of previous B-Snakes. By introducing novel energy function Snake is able not only to grow through...