Integrated execution framework for catastrophe modeling. - Yimin Yang 002; Daniel Lopez; Haiman Tian; Samira Pouyanfar; Fausto C. Fleites; Shu-Ching Chen; Shahid Hamid 001 (ICSC, 2015)

Correlation-Based Deep Learning for Multimedia Semantic Concept Detection. - Hsin-Yu Ha; Yimin Yang 002; Samira Pouyanfar; Haiman Tian; Shu-Ching Chen (WISE (2), 2015)

Semantic Concept Detection Using Weighted Discretization Multiple Correspondence Analysis for Disaster Information Management. - Samira Pouyanfar; Shu-Ching Chen (IRI, 2016)

A Scalable and Automatic Validation Process for Florida Public Hurricane Loss Model (Invited Paper). - Haiman Tian; Hsin-Yu Ha; Samira Pouyanfar; Yilin Yan; Sheng Guan; Shu-Ching Chen; Mei-Ling Shyu; Shahid Hamid 001 (IRI, 2016)

Domain Knowledge Assisted Data Processing for Florida Public Hurricane Loss Model (Invited Paper). - Yilin Yan; Samira Pouyanfar; Haiman Tian; Sheng Guan; Hsin-Yu Ha; Shu-Ching Chen; Mei-Ling Shyu; Shahid Hamid 001 (IRI, 2016)

Semantic Event Detection Using Ensemble Deep Learning. - Samira Pouyanfar; Shu-Ching Chen (ISM, 2016)

Florida International University - University of Miami TRECVID 2016. - Yilin Yan; Samira Pouyanfar; Sheng Guan; Haiman Tian; Hsin-Yu Ha; Mei-Ling Shyu; Shu-Ching Chen; Winnie Chen; Tiffany Chen; Jonathan Chen (TRECVID, 2016)

Computational Health Informatics in the Big Data Age: A Survey. - Ruogu Fang; Samira Pouyanfar; Yimin Yang 002; Shu-Ching Chen; S. S. Iyengar 001 (ACM Comput. Surv., 2016)

T-LRA: Trend-Based Learning Rate Annealing for Deep Neural Networks. - Samira Pouyanfar; Shu-Ching Chen (BigMM, 2017)

DeepFood: Automatic Multi-Class Classification of Food Ingredients Using Deep Learning. - Lili Pan 002; Samira Pouyanfar; Hao Chen 051; Jiaohua Qin; Shu-Ching Chen (CIC, 2017)

An efficient deep residual-inception network for multimedia classification. - Samira Pouyanfar; Shu-Ching Chen; Mei-Ling Shyu (ICME, 2017)

Florida International University - University of Miami TRECVID 2017. - Yilin Yan; Samira Pouyanfar; Yudong Tao; Haiman Tian; Maria E. Presa Reyes; Mei-Ling Shyu; Shu-Ching Chen; Winnie Chen; Tiffany Chen; Jonathan Chen (TRECVID, 2017)

Automatic Video Event Detection for Imbalance Data Using Enhanced Ensemble Deep Learning. - Samira Pouyanfar; Shu-Ching Chen (Int. J. Semantic Comput., 2017)

Deep Spatio-Temporal Representation Learning for Multi-Class Imbalanced Data Classification. - Samira Pouyanfar; Shu-Ching Chen; Mei-Ling Shyu (IRI, 2018)

Automatic Convolutional Neural Network Selection for Image Classification Using Genetic Algorithms. - Haiman Tian; Samira Pouyanfar; Jonathan Chen; Shu-Ching Chen; S. Sitharama Iyengar (IRI, 2018)

Dynamic Sampling in Convolutional Neural Networks for Imbalanced Data Classification. - Samira Pouyanfar; Yudong Tao; Anup Mohan; Haiman Tian; Ahmed S. Kaseb; Kent Gauen; Ryan Dailey; Sarah Aghajanzadeh; Yung-Hsiang Lu; Shu-Ching Chen; Mei-Ling Shyu (MIPR, 2018)

Florida International University - University of Miami TRECVID 2018. - Samira Pouyanfar; Yudong Tao; Haiman Tian; Maria E. Presa Reyes; Yuexuan Tu; Yilin Yan; Tianyi Wang 003; Hector Cen Zheng; Yingxin Li; Saad Sadiq; Mei-Ling Shyu; Shu-Ching Chen; et al. (TRECVID, 2018)

Multimedia Big Data Analytics: A Survey. - Samira Pouyanfar; Yimin Yang 002; Shu-Ching Chen; Mei-Ling Shyu; S. S. Iyengar 001 (ACM Comput. Surv., 2018)

IF-MCA: Importance Factor-Based Multiple Correspondence Analysis for Multimedia Data Analytics. - Yimin Yang 002; Samira Pouyanfar; Haiman Tian; Min Chen 009; Shu-Ching Chen; Mei-Ling Shyu (IEEE Trans. Multim., 2018)

ROADS: Randomization for Obstacle Avoidance and Driving in Simulation. - Samira Pouyanfar; Muneeb Saleem; Nikhil George; Shu-Ching Chen (CVPR Workshops, 2019)

Residual Attention-Based Fusion for Video Classification. - Samira Pouyanfar; Tianyi Wang 003; Shu-Ching Chen (CVPR Workshops, 2019)

Unconstrained Flood Event Detection Using Adversarial Data Augmentation. - Samira Pouyanfar; Yudong Tao; Saad Sadiq; Haiman Tian; Yuexuan Tu; Tianyi Wang 003; Shu-Ching Chen; Mei-Ling Shyu (ICIP, 2019)

A Framework for Airfare Price Prediction: A Machine Learning Approach. - Tianyi Wang 003; Samira Pouyanfar; Haiman Tian; Yudong Tao; Miguel Alonso; Steven Luis; Shu-Ching Chen (IRI, 2019)

A Multi-label Multimodal Deep Learning Framework for Imbalanced Data Classification. - Samira Pouyanfar; Tianyi Wang 003; Shu-Ching Chen (MIPR, 2019)

A Survey on Deep Learning: Algorithms, Techniques, and Applications. - Samira Pouyanfar; Saad Sadiq; Yilin Yan; Haiman Tian; Yudong Tao; Maria E. Presa Reyes; Mei-Ling Shyu; Shu-Ching Chen; S. S. Iyengar 001 (ACM Comput. Surv., 2019)

Multimodal deep learning based on multiple correspondence analysis for disaster management. - Samira Pouyanfar; Yudong Tao; Haiman Tian; Shu-Ching Chen; Mei-Ling Shyu (World Wide Web, 2019)

Multimodal deep representation learning for video classification. - Haiman Tian; Yudong Tao; Samira Pouyanfar; Shu-Ching Chen; Mei-Ling Shyu (World Wide Web, 2019)

Distributed Differentially Private Mutual Information Ranking and Its Applications. - Ankit Srivastava; Samira Pouyanfar; Joshua Allen; Ken Johnston; Qida Ma (IRI, 2020)

Differentially Private Synthetic Data: Applied Evaluations and Enhancements. - Lucas Rosenblatt; Xiaoyan Liu; Samira Pouyanfar; Eduardo de Leon; Anuj Desai; Joshua Allen (CoRR, 2020)

Machine learning and image processing approaches for estimating concrete surface roughness using basic cameras. - Alireza Valikhani; Azadeh Jaberi Jahromi; Samira Pouyanfar; Islam M. Mantawy; Atorod Azizinamini (Comput. Aided Civ. Infrastructure Eng., 2021)

Data Analytics for Air Travel Data: A Survey and New Perspectives. - Haiman Tian; Maria E. Presa Reyes; Yudong Tao; Tianyi Wang 003; Samira Pouyanfar; Miguel Alonso; Steven Luis; Mei-Ling Shyu; Shu-Ching Chen; Sundaraja Sitharama Iyengar (ACM Comput. Surv., 2022)

FRR-Net: A Real-Time Blind Face Restoration and Relighting Network. - Samira Pouyanfar; Sunando Sengupta; Mahmoud Mohammadi; Ebey Abraham; Brett Bloomquist; Lukas Dauterman; Anjali Parikh; Steve Lim; Eric Sommerlade (CVPR Workshops, 2023)