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ORCIDShu-Ching Chen
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- affiliation: Florida International University, University Park, FL, USA
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2020 – today
- 2023
[j112]Yudong Tao
, Chuang Yang, Tianyi Wang, Erik Coltey, Yanxiu Jin, Yinghao Liu, Renhe Jiang, Zipei Fan, Xuan Song, Ryosuke Shibasaki, Shu-Ching Chen, Mei-Ling Shyu, Steven Luis:
A Survey on Data-driven COVID-19 and Future Pandemic Management. ACM Comput. Surv. 55(7): 141:1-141:36 (2023)- 2022
- [j111]Haiman Tian, Maria E. Presa Reyes, Yudong Tao, Tianyi Wang, Samira Pouyanfar, Miguel Alonso, Steven Luis, Mei-Ling Shyu, Shu-Ching Chen, Sundaraja Sitharama Iyengar:
Data Analytics for Air Travel Data: A Survey and New Perspectives. ACM Comput. Surv. 54(8): 167:1-167:35 (2022) - [j110]Shu-Ching Chen:
Multimedia Research Toward the Metaverse. IEEE Multim. 29(1): 125-127 (2022) - [j109]Shu-Ching Chen:
Digital Assets and Blockchain-Based Multimedia Data Management. IEEE Multim. 29(2): 5-7 (2022) - [j108]Shu-Ching Chen:
Multimedia Meets Deep Reinforcement Learning. IEEE Multim. 29(3): 5-7 (2022) - [j107]Shu-Ching Chen:
Passing the Torch - Continue Moving Forward. IEEE Multim. 29(4): 4 (2022) - [j106]Erik Coltey, Daniela Alonso, Shahin Vassigh, Shu-Ching Chen:
Towards an AI-Driven Marketplace for Small Businesses During COVID-19. SN Comput. Sci. 3(6): 441 (2022) - [j105]Yudong Tao, Tianyi Wang, Anchen Sun, Shahid S. Hamid, Shu-Ching Chen, Mei-Ling Shyu:
Florida public hurricane loss model: Software system for insurance loss projection. Softw. Pract. Exp. 52(7): 1736-1755 (2022) - [j104]Maria E. Presa Reyes, Yudong Tao, Shu-Ching Chen, Mei-Ling Shyu:
Deep Learning With Weak Supervision for Disaster Scene Description in Low-Altitude Imagery. IEEE Trans. Geosci. Remote. Sens. 60: 1-10 (2022) - [c225]Tianyi Wang, Shu-Ching Chen:
Multi-Task Local-Global Graph Network for Flight Delay Prediction. IRI 2022: 49-54 - [c224]Maria E. Presa Reyes, Yudong Tao, Rui Ma, Shu-Ching Chen, Mei-Ling Shyu:
Multi-Source Weak Supervision Fusion for Disaster Scene Recognition in Videos. MIPR 2022: 287-292 - [e7]Shu-Ching Chen, Her-Terng Yau, Roland Stenzel, Hsiung-Cheng Lin:
24th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD Winter 2022, Taichung, Taiwan, December 7-9, 2022. IEEE 2022, ISBN 979-8-3503-1041-2 [contents] - 2021
- [j103]Shu-Ching Chen:
Multimedia Research for Response and Management of COVID-19 and Future Pandemics. IEEE Multim. 28(1): 5-6 (2021) - [j102]Shu-Ching Chen:
Multimedia in Virtual Reality and Augmented Reality. IEEE Multim. 28(2): 5-7 (2021) - [j101]Shu-Ching Chen:
Embracing Multimodal Data in Multimedia Data Analysis. IEEE Multim. 28(3): 5-7 (2021) - [j100]Shu-Ching Chen:
Multimedia Data Analysis With Edge Computing. IEEE Multim. 28(4): 5-7 (2021) - [c223]Yudong Tao, Renhe Jiang, Erik Coltey, Chuang Yang, Xuan Song, Ryosuke Shibasaki, Mei-Ling Shyu, Shu-Ching Chen:
Data-Driven In-Crisis Community Identification for Disaster Response and Management. CIC 2021: 96-104 - [c222]Erik Coltey, Shahin Vassigh, Shu-Ching Chen:
Community-Connect: COVID-19 Small Business Marketplace with Automated Regulation Matching and Company Lead Retrieval. IRI 2021: 57-60 - [c221]Tianyi Wang, Shu-Ching Chen:
Hierarchical Multimodal Fusion Network with Dynamic Multi-task Learning. IRI 2021: 208-214 - [c220]Erik Coltey, Yudong Tao, Tianyi Wang, Shahin Vassigh, Shu-Ching Chen, Mei-Ling Shyu:
Generalized Structure for Adaptable Immersive Learning Environments. IRI 2021: 294-301 - [c219]Anchen Sun, Yudong Tao, Mei-Ling Shyu, Shu-Ching Chen, Angela Blizzard, William Andrew Rothenberg, Dainelys Garcia, Jason F. Jent:
Multimodal Data Integration for Interactive and Realistic Avatar Simulation in Augmented Reality. IRI 2021: 362-369 - [c218]Maria E. Presa Reyes, Shu-Ching Chen:
Weakly-Supervised Damaged Building Localization and Assessment with Noise Regularization. MIPR 2021: 8-14 - 2020
- [j99]Shicheng Cui, Qianmu Li, Shu-Ching Chen:
An adversarial learning approach for discovering social relations in human-centered information networks. EURASIP J. Wirel. Commun. Netw. 2020(1): 172 (2020) - [j98]Shu-Ching Chen:
Momentous Years of Recognition. IEEE Multim. 27(4): 5 (2020) - [j97]Haiman Tian, Shu-Ching Chen, Mei-Ling Shyu:
Evolutionary Programming Based Deep Learning Feature Selection and Network Construction for Visual Data Classification. Inf. Syst. Frontiers 22(5): 1053-1066 (2020) - [j96]Shicheng Cui, Tao Li, Shu-Ching Chen, Mei-Ling Shyu, Qianmu Li, Hong Zhang:
DISL: Deep Isomorphic Substructure Learning for network representations. Knowl. Based Syst. 189 (2020) - [c217]Yudong Tao, Rui Ma, Mei-Ling Shyu, Shu-Ching Chen:
Challenges in Energy-Efficient Deep Neural Network Training with FPGA. CVPR Workshops 2020: 1602-1611 - [c216]Tianyi Wang, Shu-Ching Chen:
Multi-Label Multi-Task Learning with Dynamic Task Weight Balancing. IRI 2020: 245-252 - [c215]Maria E. Presa Reyes, Biayna Bogosian, Bradley Schonhoff, Christopher Jerauld, Christian Moreyra, Piero Gardinali, Shu-Ching Chen:
A Water Quality Research Platform for the Near-real-time Buoy Sensor Data. IRI 2020: 287-294 - [c214]Maria E. Presa Reyes, Shu-Ching Chen:
Assessing Building Damage by Learning the Deep Feature Correspondence of Before and After Aerial Images. MIPR 2020: 43-48 - [c213]Haiman Tian, Shu-Ching Chen, Mei-Ling Shyu:
Evolutionary Programming Based Deep Feature and Model Selection for Visual Data Classification. MIPR 2020: 61-66 - [c212]Tianyi Wang, Yudong Tao, Shu-Ching Chen, Mei-Ling Shyu:
Multi-task Multimodal Learning for Disaster Situation Assessment. MIPR 2020: 209-212 - [c211]Yudong Tao, Erik Coltey, Tianyi Wang, Miguel Alonso, Mei-Ling Shyu, Shu-Ching Chen, Hadi Alhaffar, Albert Elias, Biayna Bogosian, Shahin Vassigh:
Confidence Estimation Using Machine Learning in Immersive Learning Environments. MIPR 2020: 247-252 - [c210]Maria E. Presa Reyes, Yudong Tao, Shu-Ching Chen, Mei-Ling Shyu:
Florida International University - University of Miami TRECVID 2020 DSDI Track. TRECVID 2020
2010 – 2019
- 2019
- [j95]Samira Pouyanfar, Saad Sadiq, Yilin Yan, Haiman Tian, Yudong Tao, Maria E. Presa Reyes, Mei-Ling Shyu, Shu-Ching Chen, S. S. Iyengar:
A Survey on Deep Learning: Algorithms, Techniques, and Applications. ACM Comput. Surv. 51(5): 92:1-92:36 (2019) - [j94]Shu-Ching Chen:
Multimedia Deep Learning. IEEE Multim. 26(1): 5-7 (2019) - [j93]Shu-Ching Chen:
Is Artificial Intelligence New to Multimedia? IEEE Multim. 26(2): 5-7 (2019) - [j92]Shu-Ching Chen:
Multimedia for Autonomous Driving. IEEE Multim. 26(3): 5-8 (2019) - [j91]Shu-Ching Chen:
Impact and Award. IEEE Multim. 26(4): 5-6 (2019) - [j90]Haiman Tian, Yudong Tao, Samira Pouyanfar, Shu-Ching Chen, Mei-Ling Shyu:
Multimodal deep representation learning for video classification. World Wide Web 22(3): 1325-1341 (2019) - [j89]Samira Pouyanfar, Yudong Tao, Haiman Tian, Shu-Ching Chen, Mei-Ling Shyu:
Multimodal deep learning based on multiple correspondence analysis for disaster management. World Wide Web 22(5): 1893-1911 (2019) - [c209]Samira Pouyanfar, Muneeb Saleem, Nikhil George, Shu-Ching Chen:
ROADS: Randomization for Obstacle Avoidance and Driving in Simulation. CVPR Workshops 2019: 78-87 - [c208]Samira Pouyanfar, Tianyi Wang, Shu-Ching Chen:
Residual Attention-Based Fusion for Video Classification. CVPR Workshops 2019: 478-480 - [c207]Samira Pouyanfar, Muneeb Saleem, Nikhil George, Shu-Ching Chen:
ROADS: Randomization for Obstacle Avoidance and Driving in Simulation. CVPR Workshops 2019: 1267-1276 - [c206]Samira Pouyanfar, Yudong Tao, Saad Sadiq, Haiman Tian, Yuexuan Tu, Tianyi Wang, Shu-Ching Chen, Mei-Ling Shyu:
Unconstrained Flood Event Detection Using Adversarial Data Augmentation. ICIP 2019: 155-159 - [c205]Haiman Tian, Shu-Ching Chen, Mei-Ling Shyu:
Genetic Algorithm Based Deep Learning Model Selection for Visual Data Classification. IRI 2019: 127-134 - [c204]Yuexuan Tu, Saad Sadiq, Yudong Tao, Mei-Ling Shyu, Shu-Ching Chen:
A Power Efficient Neural Network Implementation on Heterogeneous FPGA and GPU Devices. IRI 2019: 193-199 - [c203]Tianyi Wang, Samira Pouyanfar, Haiman Tian, Yudong Tao, Miguel Alonso, Steven Luis, Shu-Ching Chen:
A Framework for Airfare Price Prediction: A Machine Learning Approach. IRI 2019: 200-207 - [c202]Haiman Tian, Shu-Ching Chen, Mei-Ling Shyu, Stuart H. Rubin:
Automated Neural Network Construction with Similarity Sensitive Evolutionary Algorithms. IRI 2019: 283-290 - [c201]Samira Pouyanfar, Tianyi Wang, Shu-Ching Chen:
A Multi-label Multimodal Deep Learning Framework for Imbalanced Data Classification. MIPR 2019: 199-204 - [c200]Yudong Tao, Tianyi Wang, Diana Machado, Raúl García, Yuexuan Tu, Maria E. Presa Reyes, Yeda Chen, Haiman Tian, Mei-Ling Shyu, Shu-Ching Chen:
Florida International University - University ofMiami TRECVID 2019. TRECVID 2019 - 2018
- [j88]Samira Pouyanfar, Yimin Yang, Shu-Ching Chen, Mei-Ling Shyu, S. S. Iyengar:
Multimedia Big Data Analytics: A Survey. ACM Comput. Surv. 51(1): 10:1-10:34 (2018) - [j87]Shu-Ching Chen:
Moving IEEE MultiMedia Forward. IEEE Multim. 25(1): 5-6 (2018) - [j86]Shu-Ching Chen:
Best Paper and Best Department Article Recognition. IEEE Multim. 25(2): 5-6 (2018) - [j85]Shu-Ching Chen:
Multimedia for Disaster Information Management. IEEE Multim. 25(3): 5-7 (2018) - [j84]Shu-Ching Chen:
Multimedia for Data Science. IEEE Multim. 25(4): 5-7 (2018) - [j83]Ning Xie, Wubai Zhou, Chao Shen, Tao Li, Shu-Ching Chen, Jinpeng Wei:
City Disaster Susceptibility Comparisons using Weighted Bipartite Graphs. Int. J. Next Gener. Comput. 9(1) (2018) - [j82]Chao Chen, Mei-Ling Shyu, Shu-Ching Chen:
Erratum to: Weighted subspace modeling for semantic concept retrieval using gaussian mixture models. Inf. Syst. Frontiers 20(2): 417 (2018) - [j81]Yimin Yang, Samira Pouyanfar, Haiman Tian, Min Chen, Shu-Ching Chen, Mei-Ling Shyu:
IF-MCA: Importance Factor-Based Multiple Correspondence Analysis for Multimedia Data Analytics. IEEE Trans. Multim. 20(4): 1024-1032 (2018) - [c199]Samira Pouyanfar, Shu-Ching Chen, Mei-Ling Shyu:
Deep Spatio-Temporal Representation Learning for Multi-Class Imbalanced Data Classification. IRI 2018: 386-393 - [c198]Deya Banisakher, Maria E. Presa Reyes, Joshua D. Eisenberg, Joshua Allen, Mark A. Finlayson, René Price, Shu-Ching Chen:
Ontology-Based Supervised Concept Learning for the Biogeochemical Literature. IRI 2018: 402-410 - [c197]Saad Sadiq, Marina Zmieva, Mei-Ling Shyu, Shu-Ching Chen:
Reduced Residual Nets (Red-Nets): Low Powered Adversarial Outlier Detectors. IRI 2018: 436-443 - [c196]Haiman Tian, Samira Pouyanfar, Jonathan Chen, Shu-Ching Chen, S. Sitharama Iyengar:
Automatic Convolutional Neural Network Selection for Image Classification Using Genetic Algorithms. IRI 2018: 444-451 - [c195]Haiman Tian, Hector Cen Zheng, Shu-Ching Chen:
Sequential Deep Learning for Disaster-Related Video Classification. MIPR 2018: 106-111 - [c194]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:
Dynamic Sampling in Convolutional Neural Networks for Imbalanced Data Classification. MIPR 2018: 112-117 - [c193]Samira Pouyanfar, Yudong Tao, Haiman Tian, Maria E. Presa Reyes, Yuexuan Tu, Yilin Yan, Tianyi Wang, Hector Cen Zheng, Yingxin Li, Saad Sadiq, Mei-Ling Shyu, Shu-Ching Chen, Winnie Chen, Tiffany Chen, Jonathan Chen:
Florida International University - University of Miami TRECVID 2018. TRECVID 2018 - 2017
- [j80]Tao Li, Ning Xie, Chunqiu Zeng, Wubai Zhou, Li Zheng, Yexi Jiang, Yimin Yang, Hsin-Yu Ha, Wei Xue, Yue Huang, Shu-Ching Chen, Jainendra K. Navlakha, S. Sitharama Iyengar:
Data-Driven Techniques in Disaster Information Management. ACM Comput. Surv. 50(1): 1:1-1:45 (2017) - [j79]Samira Pouyanfar, Shu-Ching Chen:
Automatic Video Event Detection for Imbalance Data Using Enhanced Ensemble Deep Learning. Int. J. Semantic Comput. 11(1): 85-110 (2017) - [c192]Samira Pouyanfar, Shu-Ching Chen:
T-LRA: Trend-Based Learning Rate Annealing for Deep Neural Networks. BigMM 2017: 50-57 - [c191]Haiman Tian, Shu-Ching Chen:
A Video-Aided Semantic Analytics System for Disaster Information Integration. BigMM 2017: 242-243 - [c190]Maria E. Presa Reyes, Shu-Ching Chen:
A 3D Virtual Environment for Storm Surge Flooding Animation. BigMM 2017: 244-245 - [c189]Haiman Tian, Shu-Ching Chen:
MCA-NN: Multiple Correspondence Analysis Based Neural Network for Disaster Information Detection. BigMM 2017: 268-275 - [c188]Lili Pan, Samira Pouyanfar, Hao Chen, Jiaohua Qin, Shu-Ching Chen:
DeepFood: Automatic Multi-Class Classification of Food Ingredients Using Deep Learning. CIC 2017: 181-189 - [c187]Samira Pouyanfar, Shu-Ching Chen, Mei-Ling Shyu:
An efficient deep residual-inception network for multimedia classification. ICME 2017: 373-378 - [c186]Stuart H. Rubin, William K. Grefe, Thouraya Bouabana-Tebibel, Shu-Ching Chen, Mei-Ling Shyu, Kenneth S. Simonsen:
Cyber-Secure UAV Communications Using Heuristically Inferred Stochastic Grammars and Hard Real-Time Adaptive Waveform Synthesis and Evolution. IRI 2017: 9-15 - [c185]Haiman Tian, Shu-Ching Chen, Stuart H. Rubin, William K. Grefe:
FA-MCADF: Feature Affinity Based Multiple Correspondence Analysis and Decision Fusion Framework for Disaster Information Management. IRI 2017: 198-206 - [c184]Kent Gauen, Ryan Dailey, John Laiman, Yuxiang Zi, Nirmal Asokan, Yung-Hsiang Lu, George K. Thiruvathukal, Mei-Ling Shyu, Shu-Ching Chen:
Comparison of Visual Datasets for Machine Learning. IRI 2017: 346-355 - [c183]Saad Sadiq, Yilin Yan, Asia Taylor, Mei-Ling Shyu, Shu-Ching Chen, Daniel Feaster:
AAFA: Associative Affinity Factor Analysis for Bot Detection and Stance Classification in Twitter. IRI 2017: 356-365 - [c182]Joshua D. Eisenberg, Deya Banisakher, Maria E. Presa Reyes, Kalli Unthank, Mark A. Finlayson, René Price, Shu-Ching Chen:
Toward Semantic Search for the Biogeochemical Literature. IRI 2017: 517-525 - [c181]Yilin Yan, Samira Pouyanfar, Yudong Tao, Haiman Tian, Maria E. Presa Reyes, Mei-Ling Shyu, Shu-Ching Chen, Winnie Chen, Tiffany Chen, Jonathan Chen:
Florida International University - University of Miami TRECVID 2017. TRECVID 2017 - [e6]James Jong Hyuk Park, Shu-Ching Chen, Kim-Kwang Raymond Choo:
Advanced Multimedia and Ubiquitous Engineering - MUE/FutureTech 2017, Seoul, Korea, 22-24 May 2017. Lecture Notes in Electrical Engineering 448, 2017, ISBN 978-981-10-5040-4 [contents] - 2016
- [j78]Ruogu Fang, Samira Pouyanfar, Yimin Yang, Shu-Ching Chen, S. S. Iyengar:
Computational Health Informatics in the Big Data Age: A Survey. ACM Comput. Surv. 49(1): 12:1-12:36 (2016) - [j77]Chao Chen, Mei-Ling Shyu, Shu-Ching Chen:
Weighted subspace modeling for semantic concept retrieval using gaussian mixture models. Inf. Syst. Frontiers 18(5): 877-889 (2016) - [j76]Nam Ling, Shu-Ching Chen, Doo-Soon Park:
Guest Editorial: Pervasive Multimedia Computing - Systems Applications and Services. Multim. Tools Appl. 75(22): 14015-14017 (2016) - [j75]Jason C. Hung, Makoto Takizawa, Shu-Ching Chen:
Guest Editorial: Large-scale Multimedia Data Management: Techniques and Applications. Multim. Tools Appl. 75(23): 15341-15346 (2016) - [c180]Tao Li, Wubai Zhou, Chunqiu Zeng, Qing Wang, Qifeng Zhou, Dingding Wang, Jia Xu, Yue Huang, Wentao Wang, Minjing Zhang, Steven Luis, Shu-Ching Chen, Naphtali Rishe:
DI-DAP: An Efficient Disaster Information Delivery and Analysis Platform in Disaster Management. CIKM 2016: 1593-1602 - [c179]Ramesh Baral, Dingding Wang, Tao Li, Shu-Ching Chen:
GeoTeCS: Exploiting Geographical, Temporal, Categorical and Social Aspects for Personalized POI Recommendation (Invited Paper). IRI 2016: 94-101 - [c178]Haiman Tian, Hsin-Yu Ha, Samira Pouyanfar, Yilin Yan, Sheng Guan, Shu-Ching Chen, Mei-Ling Shyu, Shahid Hamid:
A Scalable and Automatic Validation Process for Florida Public Hurricane Loss Model (Invited Paper). IRI 2016: 324-331 - [c177]Yilin Yan, Samira Pouyanfar, Haiman Tian, Sheng Guan, Hsin-Yu Ha, Shu-Ching Chen, Mei-Ling Shyu, Shahid Hamid:
Domain Knowledge Assisted Data Processing for Florida Public Hurricane Loss Model (Invited Paper). IRI 2016: 441-447 - [c176]Samira Pouyanfar, Shu-Ching Chen:
Semantic Concept Detection Using Weighted Discretization Multiple Correspondence Analysis for Disaster Information Management. IRI 2016: 556-564 - [c175]Saad Sadiq, Yilin Yan, Mei-Ling Shyu, Shu-Ching Chen, Hemant Ishwaran:
Enhancing Multimedia Imbalanced Concept Detection Using VIMP in Random Forests. IRI 2016: 601-608 - [c174]Yilin Yan, Qiusha Zhu, Mei-Ling Shyu, Shu-Ching Chen:
A Classifier Ensemble Framework for Multimedia Big Data Classification. IRI 2016: 615-622 - [c173]Samira Pouyanfar, Shu-Ching Chen:
Semantic Event Detection Using Ensemble Deep Learning. ISM 2016: 203-208 - [c172]Yilin Yan, Samira Pouyanfar, Sheng Guan, Haiman Tian, Hsin-Yu Ha, Mei-Ling Shyu, Shu-Ching Chen, Winnie Chen, Tiffany Chen, Jonathan Chen:
Florida International University - University of Miami TRECVID 2016. TRECVID 2016 - 2015
- [j74]Yonghong Tian, Shu-Ching Chen, Mei-Ling Shyu, Tiejun Huang, Phillip C.-Y. Sheu, Alberto Del Bimbo:
Multimedia Big Data. IEEE Multim. 22(3): 93-95 (2015) - [j73]Mei-Ling Shyu, Shu-Ching Chen:
Emerging Multimedia Research and Applications. IEEE Multim. 22(4): 11-13 (2015) - [j72]Ahmed T. Soliman, Tao Meng, Shu-Ching Chen, S. S. Iyengar, Puneeth Iyengar, John S. Yordy, Mei-Ling Shyu:
Driver Missense Mutation Identification Using Feature Selection and Model Fusion. J. Comput. Biol. 22(12): 1075-1085 (2015) - [j71]Fausto C. Fleites, Haohong Wang, Shu-Ching Chen:
Enhancing Product Detection With Multicue Optimization for TV Shopping Applications. IEEE Trans. Emerg. Top. Comput. 3(2): 161-171 (2015) - [j70]Jianhua Yan, Keqi Zhang, Chengcui Zhang, Shu-Ching Chen, Giri Narasimhan:
Automatic Construction of 3-D Building Model From Airborne LIDAR Data Through 2-D Snake Algorithm. IEEE Trans. Geosci. Remote. Sens. 53(1): 3-14 (2015) - [j69]Fausto C. Fleites, Haohong Wang, Shu-Ching Chen:
Enabling Enriched TV Shopping Experience via Computational and Temporal Aware View-Centric Multimedia Abstraction. IEEE Trans. Multim. 17(7): 1068-1080 (2015) - [j68]Shu-Ching Chen, Ramesh C. Jain, Yonghong Tian, Haohong Wang:
Guest Editorial Multimedia: The Biggest Big Data. IEEE Trans. Multim. 17(9): 1401-1403 (2015) - [c171]Yimin Yang, Shu-Ching Chen, Mei-Ling Shyu:
Temporal Multiple Correspondence Analysis for Big Data Mining in Soccer Videos. BigMM 2015: 64-71 - [c170]Hsin-Yu Ha, Shu-Ching Chen, Mei-Ling Shyu:
Utilizing Indirect Associations in Multimedia Semantic Retrieval. BigMM 2015: 72-79 - [c169]Sheng Guan, Min Chen, Hsin-Yu Ha, Shu-Ching Chen, Mei-Ling Shyu, Chengde Zhang:
Deep Learning with MCA-based Instance Selection and Bootstrapping for Imbalanced Data Classification. CIC 2015: 288-295 - [c168]Hsin-Yu Ha, Shu-Ching Chen, Mei-Ling Shyu:
Negative-Based Sampling for Multimedia Retrieval. IRI 2015: 64-71 - [c167]Yimin Yang, Shu-Ching Chen:
Ensemble Learning from Imbalanced Data Set for Video Event Detection. IRI 2015: 82-89 - [c166]Chao Chen, Mei-Ling Shyu, Shu-Ching Chen:
Gaussian Mixture Model-Based Subspace Modeling for Semantic Concept Retrieval. IRI 2015: 258-265 - [c165]Guangqiang Zhao, Mingjin Zhang, Tao Li, Shu-Ching Chen, Naphtali Rishe:
City Recorder: Virtual City Tour Using Geo-referenced Videos. IRI 2015: 281-286 - [c164]Yilin Yan, Min Chen, Mei-Ling Shyu, Shu-Ching Chen:
Deep Learning for Imbalanced Multimedia Data Classification. ISM 2015: 483-488 - [c163]Yimin Yang, Daniel Lopez, Haiman Tian, Samira Pouyanfar, Fausto C. Fleites, Shu-Ching Chen, Shahid Hamid:
Integrated execution framework for catastrophe modeling. ICSC 2015: 201-207 - [c162]Hsin-Yu Ha, Shu-Ching Chen, Min Chen:
FC-MST: Feature correlation maximum spanning tree for multimedia concept classification. ICSC 2015: 276-283 - [c161]Yilin Yan, Miguel Gavidia, Tarek Sayed, Hsin-Yu Ha, Mei-Ling Shyu, Shu-Ching Chen, Winnie Chen, Tiffany Chen:
Florida International University - University of Miami TRECVID 2015. TRECVID 2015 - [c160]