Search Results - "Pouyanfar, Samira"

Dynamic Sampling in Convolutional Neural Networks for Imbalanced Data Classification by Pouyanfar, Samira, Tao, Yudong, Mohan, Anup, Tian, Haiman, Kaseb, Ahmed S., Gauen, Kent, Dailey, Ryan, Aghajanzadeh, Sarah, Lu, Yung-Hsiang, Chen, Shu-Ching, Shyu, Mei-Ling

“…Many multimedia systems stream real-time visual data continuously for a wide variety of applications. These systems can produce vast amounts of data, but few…”
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Machine learning and image processing approaches for estimating concrete surface roughness using basic cameras by Valikhani, Alireza, Jaberi Jahromi, Azadeh, Pouyanfar, Samira, Mantawy, Islam M., Azizinamini, Atorod

“…Casting concrete at different ages for new construction and repairing or retrofitting concrete structures requires a sufficient bond between concrete casts…”
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Multimodal deep representation learning for video classification by Tian, Haiman, Tao, Yudong, Pouyanfar, Samira, Chen, Shu-Ching, Shyu, Mei-Ling

“…Real-world applications usually encounter data with various modalities, each containing valuable information. To enhance these applications, it is essential to…”
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Multimodal deep learning based on multiple correspondence analysis for disaster management by Pouyanfar, Samira, Tao, Yudong, Tian, Haiman, Chen, Shu-Ching, Shyu, Mei-Ling

“…The fast and explosive growth of digital data in social media and World Wide Web has led to numerous opportunities and research activities in multimedia big…”
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Spatio-Temporal Multimedia Big Data Analytics Using Deep Neural Networks by Pouyanfar, Samira

“…With the proliferation of online services and mobile technologies, the world has stepped into a multimedia big data era, where new opportunities and challenges…”
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IF-MCA: Importance Factor-Based Multiple Correspondence Analysis for Multimedia Data Analytics by Yang, Yimin, Pouyanfar, Samira, Tian, Haiman, Chen, Min, Chen, Shu-Ching, Shyu, Mei-Ling

“…Multimedia concept detection is a challenging topic due to the well-known class imbalance issue, where the data instances are distributed unevenly across…”
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Unconstrained Flood Event Detection Using Adversarial Data Augmentation by Pouyanfar, Samira, Tao, Yudong, Sadiq, Saad, Tian, Haiman, Tu, Yuexuan, Wang, Tianyi, Chen, Shu-Ching, Shyu, Mei-Ling

“…Nowadays, the world faces extreme climate changes, resulting in an increase of natural disaster events and their severities. In these conditions, the necessity…”
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A Multi-label Multimodal Deep Learning Framework for Imbalanced Data Classification by Pouyanfar, Samira, Wang, Tianyi, Chen, Shu-Ching

“…Social media and Web services have provided a notable number of multimedia content. Due to such explosion of multimedia data, the multimedia community has been…”
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Music emotion recognition using two level classification by Pouyanfar, Samira, Sameti, Hossein

“…Rapid growth of digital music data in the Internet during the recent years has led to increase of user demands for search based on different types of meta…”
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Semantic Concept Detection Using Weighted Discretization Multiple Correspondence Analysis for Disaster Information Management by Pouyanfar, Samira, Chen, Shu-Ching

“…Multimedia semantic concept detection is an emerging research area in recent years. One of the prominent challenges in multimedia concept detection is data…”
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DeepFood: Automatic Multi-Class Classification of Food Ingredients Using Deep Learning by Lili Pan, Pouyanfar, Samira, Hao Chen, Jiaohua Qin, Shu-Ching Chen

“…Deep learning has brought a series of breakthroughs in image processing. Specifically, there are significant improvements in the application of food image…”
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A Framework for Airfare Price Prediction: A Machine Learning Approach by Wang, Tianyi, Pouyanfar, Samira, Tian, Haiman, Tao, Yudong, Alonso, Miguel, Luis, Steven, Chen, Shu-Ching

“…The price of an airline ticket is affected by a number of factors, such as flight distance, purchasing time, fuel price, etc. Each carrier has its own…”
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FRR-Net: A Real-Time Blind Face Restoration and Relighting Network by Pouyanfar, Samira, Sengupta, Sunando, Mohammadi, Mahmoud, Abraham, Ebey, Bloomquist, Brett, Dauterman, Lukas, Parikh, Anjali, Lim, Steve, Sommerlade, Eric

“…Face restoration models that mitigate low light, mixed lighting, poor camera quality conditions can benefit various applications, including video conferencing,…”
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Distributed Differentially Private Mutual Information Ranking and Its Applications by Srivastava, Ankit, Pouyanfar, Samira, Allen, Joshua, Johnston, Ken, Ma, Qida

“…2020 IEEE 21st International Conference on Information Reuse and Integration for Data Science (IRI) (pp. 90-96) Computation of Mutual Information (MI) helps…”
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Distributed Differentially Private Mutual Information Ranking and Its Applications by Srivastava, Ankit, Pouyanfar, Samira, Allen, Joshua, Johnston, Ken, Ma, Qida

“…Computation of Mutual Information (MI) helps understand the amount of information shared between a pair of random variables. Automated feature selection…”
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Residual Attention-Based Fusion for Video Classification by Pouyanfar, Samira, Wang, Tianyi, Chen, Shu-Ching

“…Video data is inherently multimodal and sequential. Therefore, deep learning models need to aggregate all data modalities while capturing the most relevant…”
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Semantic Event Detection Using Ensemble Deep Learning by Pouyanfar, Samira, Shu-Ching Chen

“…Numerous deep learning architectures have been designed for a variety of tasks in the past few years. However, it is almost impossible for one model to work…”
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An efficient deep residual-inception network for multimedia classification by Pouyanfar, Samira, Shu-Ching Chen, Mei-Ling Shyu

“…Deep learning has led to many breakthroughs in machine perception and data mining. Although there are many substantial advances of deep learning in the…”
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Automatic Convolutional Neural Network Selection for Image Classification Using Genetic Algorithms by Tian, Haiman, Pouyanfar, Samira, Chen, Jonathan, Chen, Shu-Ching, Iyengar, Sitharama S.

“…Deep neural networks such as Convolutional Neural Networks (CNNs) have achieved several significant milestones in visual data analytics. Benefited from…”
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ROADS: Randomization for Obstacle Avoidance and Driving in Simulation by Pouyanfar, Samira, Saleem, Muneeb, George, Nikhil, Chen, Shu-Ching

“…End-to-end deep learning has emerged as a simple and promising approach for autonomous driving recently. However, collecting large-scale real-world data…”
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