Samira Pouyanfar

发表

A Framework for Airfare Price Prediction: A Machine Learning Approach

Tianyi Wang, Samira Pouyanfar, Haiman Tian, 2019, 2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science (IRI).

IF-MCA: Importance Factor-Based Multiple Correspondence Analysis for Multimedia Data Analytics

Min Chen, Shu-Ching Chen, Mei-Ling Shyu, 2018, IEEE Transactions on Multimedia.

Multimedia Data Management for Disaster Situation Awareness

Shu-Ching Chen, Samira Pouyanfar, Hsin-Yu Ha, 2017 .

A Multi-label Multimodal Deep Learning Framework for Imbalanced Data Classification

Shu-Ching Chen, Samira Pouyanfar, Tianyi Wang, 2019, 2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR).

Leveraging Machine-learning Techniques to Analyze Computing Persistence in Undergraduate Programs

Samira Pouyanfar, Leila Zahedi, Stephanie J. Lunn, 2020 .

Automatic Video Event Detection for Imbalance Data Using Enhanced Ensemble Deep Learning

Shu-Ching Chen, Samira Pouyanfar, Shu‐Ching Chen, 2017, Int. J. Semantic Comput..

A Survey on Deep Learning

Mei-Ling Shyu, Samira Pouyanfar, Haiman Tian, 2018, ACM Comput. Surv..

Machine learning and image processing approaches for estimating concrete surface roughness using basic cameras

Samira Pouyanfar, Atorod Azizinamini, Islam M. Mantawy, 2020, Comput. Aided Civ. Infrastructure Eng..

T-LRA: Trend-Based Learning Rate Annealing for Deep Neural Networks

Shu-Ching Chen, Samira Pouyanfar, Shu‐Ching Chen, 2017, 2017 IEEE Third International Conference on Multimedia Big Data (BigMM).

DeepFood: Automatic Multi-Class Classification of Food Ingredients Using Deep Learning

Hao Chen, Shu-Ching Chen, Samira Pouyanfar, 2017, 2017 IEEE 3rd International Conference on Collaboration and Internet Computing (CIC).

A Novel Combinational Convolutional Neural Network for Automatic Food-Ingredient Classification

Samira Pouyanfar, Cong Li, Yan Zhou, 2020 .

Distributed Differentially Private Mutual Information Ranking and Its Applications

Samira Pouyanfar, Joshua Allen, Ankit Srivastava, 2020, 2020 IEEE 21st International Conference on Information Reuse and Integration for Data Science (IRI).

ROADS: Randomization for Obstacle Avoidance and Driving in Simulation

Samira Pouyanfar, Shu-Ching Chen, Nikhil George, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Computational Health Informatics in the Big Data Age

Shu-Ching Chen, Yimin Yang, Samira Pouyanfar, 2016, ACM Comput. Surv..

Correlation-Based Deep Learning for Multimedia Semantic Concept Detection

Shu-Ching Chen, Yimin Yang, Samira Pouyanfar, 2015, WISE.

Multimodal deep learning based on multiple correspondence analysis for disaster management

Mei-Ling Shyu, Samira Pouyanfar, Haiman Tian, 2018, World Wide Web.

Unconstrained Flood Event Detection Using Adversarial Data Augmentation

Mei-Ling Shyu, Tianyi Wang, Samira Pouyanfar, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

Residual Attention-Based Fusion for Video Classification

Tianyi Wang, Samira Pouyanfar, Shu-Ching Chen, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Integrated execution framework for catastrophe modeling

Shu-Ching Chen, Yimin Yang, Samira Pouyanfar, 2015, Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015).

Dynamic Sampling in Convolutional Neural Networks for Imbalanced Data Classification

Shu-Ching Chen, Mei-Ling Shyu, Samira Pouyanfar, 2018, 2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR).

Big Data in Computational Health Informatics

S. Sitharama Iyengar, Yimin Yang, Samira Pouyanfar, 2019, Big Data in Multimodal Medical Imaging.

Automatic Convolutional Neural Network Selection for Image Classification Using Genetic Algorithms

S. Sitharama Iyengar, Shu-Ching Chen, Samira Pouyanfar, 2018, 2018 IEEE International Conference on Information Reuse and Integration (IRI).

Domain Knowledge Assisted Data Processing for Florida Public Hurricane Loss Model (Invited Paper)

Sheng Guan, Shu-Ching Chen, Mei-Ling Shyu, 2016, 2016 IEEE 17th International Conference on Information Reuse and Integration (IRI).

Semantic Event Detection Using Ensemble Deep Learning

Samira Pouyanfar, Shu-Ching Chen, 2016, 2016 IEEE International Symposium on Multimedia (ISM).

A Scalable and Automatic Validation Process for Florida Public Hurricane Loss Model (Invited Paper)

Sheng Guan, Shu-Ching Chen, Mei-Ling Shyu, 2016, 2016 IEEE 17th International Conference on Information Reuse and Integration (IRI).

Semantic Concept Detection Using Weighted Discretization Multiple Correspondence Analysis for Disaster Information Management

Shu-Ching Chen, Samira Pouyanfar, 2016, 2016 IEEE 17th International Conference on Information Reuse and Integration (IRI).

Multimedia Big Data Analytics

Shu-Ching Chen, Mei-Ling Shyu, Yimin Yang, 2018, ACM Comput. Surv..

Multimodal deep representation learning for video classification

Shu-Ching Chen, Mei-Ling Shyu, Samira Pouyanfar, 2018, World Wide Web.

An efficient deep residual-inception network for multimedia classification

Shu-Ching Chen, Mei-Ling Shyu, Samira Pouyanfar, 2017, 2017 IEEE International Conference on Multimedia and Expo (ICME).

Deep Spatio-Temporal Representation Learning for Multi-Class Imbalanced Data Classification

Shu-Ching Chen, Mei-Ling Shyu, Samira Pouyanfar, 2018, 2018 IEEE International Conference on Information Reuse and Integration (IRI).

Data Analytics for Air Travel Data: A Survey and New Perspectives

Mei-Ling Shyu, Samira Pouyanfar, Steven Luis, 2021, ACM Comput. Surv..

Music emotion recognition using two level classification

Hossein Sameti, Samira Pouyanfar, 2014, 2014 Iranian Conference on Intelligent Systems (ICIS).