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检索条件"机构=Deep Learning Research Lab Department of Computer Engineering"
175 条 记 录,以下是1-10 订阅
排序:
Enhancing Employee Promotion Prediction with a Novel Hybrid Model Integrating Convolutional Neural Networks and Random Forest  14
Enhancing Employee Promotion Prediction with a Novel Hybrid ...
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14th International Conference on Information and Knowledge Technology, IKT 2023
作者: Ardehkhani, Pouya Moslemi, Seyyed Reza Hooshmand, Haniyeh University of Tehran Deep Learning Research Lab Department of Computer Engineering Faculty of Engineering Tehran Iran University of Tehran Faculty of Engineering Department of Computer Engineering Tehran Iran
In the ever-evolving landscape of human resources, the critical task of identifying employees ready for promotion remains a complex challenge. To address this issue, we propose a novel hybrid model that seamlessly int... 详细信息
来源: 评论
Improving Training Stability in Variational Autoencoders Through the Integration of Score Matching Loss  14
Improving Training Stability in Variational Autoencoders Thr...
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14th International Conference on Information and Knowledge Technology, IKT 2023
作者: Rad, Amirreza Mokhtari Ardehkhani, Pouya Alborzi, Hormehr University of Tehran Deep Learning Research Lab Department of Computer Engineering Faculty of Engineering Tehran Iran University of Tehran Faculty of Engineering Department of Computer Engineering Tehran Iran
In this research, a Variational Autoencoder (VAE) model was developed, and the CIFAR100 dataset was employed as the primary data source. The problem addressed pertained to the instability in the training process of VA... 详细信息
来源: 评论
ViT-PMN: A Vision Transformer Approach for Persian Numeral Recognition  20
ViT-PMN: A Vision Transformer Approach for Persian Numeral R...
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20th CSI International Symposium on Artificial Intelligence and Signal Processing, AISP 2024
作者: Ardehkhani, Pegah Ardehkhani, Pouya Hooshmand, Haniyeh Sharif University of Technology Department of Industrial Engineering Tehran Iran University of Tehran Faculty of Engineering Deep Learning Research Lab Department of Computer Engineering Tehran Iran University of Tehran Faculty of Engineering Department of Computer Engineering Tehran Iran
This study focuses on the task of Persian numeral classification within image data, employing the Vision Transformer (ViT) architecture to predict numerals akin to the MNIST dataset, but adapted to the Persian script.... 详细信息
来源: 评论
Novel Approach to Image Similarity Estimation and Object Matching: Leveraging ViT Architecture and Euclidean Distance Metric  20
Novel Approach to Image Similarity Estimation and Object Mat...
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20th CSI International Symposium on Artificial Intelligence and Signal Processing, AISP 2024
作者: Ardehkhani, Pegah Ardehkhani, Pouya Hooshmand, Haniyeh Sharif University of Technology Department of Industrial Engineering Tehran Iran Faculty of Engineering University of Tehran Deep Learning Research Lab Department of Computer Engineering Tehran Iran Faculty of Engineering University of Tehran Department of Computer Engineering Tehran Iran
In addressing the challenge of image similarity estimation on the MNIST dataset, our research drives from conventional Siamese network methodologies by incorporating Vision Transformer (ViT) architecture. Departing fr... 详细信息
来源: 评论
Uncertainty Estimation of Stock Price Trends Using Disentangled Representation learning
SSRN
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SSRN 2024年
作者: Asadi, Ahmad Safabakhsh, Reza Deep Learning Lab Computer Engineering Department Amirkabir University of Technology Tehran Iran
The rapid expansion of high-frequency trading strategies in stock markets, particularly in volatile sectors such as cryptocurrencies, has led to the development of a diverse array of deep learning models aimed at opti... 详细信息
来源: 评论
Predicting Stock Market Trends Using deep learning: A Case Study of Pakistan Stock Exchange  18
Predicting Stock Market Trends Using Deep Learning: A Case S...
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18th International Conference on Open Source Systems and Technologies, ICOSST 2024
作者: Balouch, Maaz Hamayat, Faizan Abbasi, Humza Fazal Javed, Muhammad Qasim Mehrban, Ali Ahmad, Rana Fayyaz Department of Business Studies Namal University Mianwali Pakistan National Center for Physics Machine Learning and Deep Learning Lab Artificial Intelligence Technology Center Islamabad Pakistan Department of Computer Science Bahria University Islamabad Pakistan School of Electrical and Electronics Engineering Newcastle University Newcastle United Kingdom
This research investigates the short-term stock price prediction in the Pakistan Stock Exchange (PSX) using deep learning (DL) techniques. By integrating historical stock data, economic indicators, and market news, th... 详细信息
来源: 评论
A Single-Stage deep learning Approach for Multiple Treatment and Diagnosis in Panoramic X-ray  23th
A Single-Stage Deep Learning Approach for Multiple Treatment...
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23rd International Conference on Intelligent Systems Design and Applications, ISDA 2023
作者: Singh, Nripendra Kumar Faisal, Mohammad Hasan, Shamimul Goswami, Gaurav Raza, Khalid Department of Computer Science Jamia Millia Islamia New Delhi India Department of Computer Application Galgotias College of Engineering and Technology Greater Noida India Faculty of Dentistry Jamia Millia Islamia New Delhi India Deep Learning Research Team Synergy Labs Gurugram India
This work investigates the recognition of multiple dental treatment and diagnosis conditions in a full scan dental panoramic image. In this study, we proposed a single-stage oriented deep learning model for five denta... 详细信息
来源: 评论
Optimizing emissions for machine learning training
Optimizing emissions for machine learning training
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2023 IEEE Conference on Technologies for Sustainability, SusTech 2023
作者: Ekanayake, Sachini Piyoni Shah, Tapan Evans, Scott University at Albany Department of Electrical and Computer Engineering AlbanyNY United States GE Research Machine Learning Lab San RamonCA United States GE Research Machine Learning Lab NiskayunaNY United States
来源: 评论
Multi-Level Graph Neural Network for Information Fusion in learning Stock Market Dynamics
SSRN
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SSRN 2023年
作者: Asadi, Ahmad Safabakhsh, Reza Deep Learning Lab Computer Engineering Department Amirkabir University of Technology Tehran Iran
Stock prices are highly volatile and unstable due to the complexity of stock markets and existence of many interconnected factors with non-linear relations. researchers have tried to improve the performance of the sto... 详细信息
来源: 评论
Enhancing Employee Promotion Prediction with a Novel Hybrid Model Integrating Convolutional Neural Networks and Random Forest
Enhancing Employee Promotion Prediction with a Novel Hybrid ...
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Conference on Information and Knowledge Technology
作者: Pouya Ardehkhani Seyyed Reza Moslemi Haniyeh Hooshmand Department of Computer Engineering Faculty of Engineering Deep Learning Research Lab University of Tehran Tehran Iran Department of Computer Engineering Faculty of Engineering University of Tehran Tehran Iran
In the ever-evolving landscape of human resources, the critical task of identifying employees ready for promotion remains a complex challenge. To address this issue, we propose a novel hybrid model that seamlessly int...
来源: 评论