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- | ====== CVDI-Related Publications ====== | + | ====== CVDI-Related Publications |
===== 2017 ===== | ===== 2017 ===== | ||
- | * D. Lytras, V. V. Raghavan and E. Damiani (Guest Editors). Special Issue on Big Data and Data Analytics Research: Challenging Data and Web Science for Next Generation High Performance Information Systems. International Journal on Semantic Web and Information Systems. Volume 13, No.1. January – March 2017. IGI Global, Hershey, PA. | + | * D. Lytras, V. V. Raghavan and E. Damiani (Guest Editors). Special Issue on Big Data and Data Analytics Research: Challenging Data and Web Science for Next-Generation High-Performance Information Systems. International Journal on Semantic Web and Information Systems. Volume 13, No.1. January – March 2017. IGI Global, Hershey, PA. |
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+ | * D. Lytras, V. V. Raghavan and E. Damiani. Big Data and Data Analytics Research: From Metaphors to Value Space for Collective Wisdom in Human Decision Making and Smart Machines. International Journal on Semantic Web and Information Systems. Volume 13, No. 1. pp. 1 – 10. January – March 2017. | ||
- | * D. Lytras, V. V. Raghavan and E. Damiani. Big Data and Data Analytics Research: From Metaphors to Value Space for Collective Wisdom in Human Decision Making and Smart Machines. International Journal on Semantic Web and Information Systems. Volume 13, No. 1. pp. 1 – 10. January – March, 2017. | ||
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* Mary Frances Zeager, Aksheetha Sridhar, Nathan Fogal, Stephen Adams, Donald E. Brown, and Peter A. Beling. Adversarial Learning in Credit Card Fraud Detection. Systems and Information Engineering Design Symposium 2017. | * Mary Frances Zeager, Aksheetha Sridhar, Nathan Fogal, Stephen Adams, Donald E. Brown, and Peter A. Beling. Adversarial Learning in Credit Card Fraud Detection. Systems and Information Engineering Design Symposium 2017. | ||
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* Katragadda, R. G. Benton and V. V. Raghavan. Sub-Event Detection from Tweets. Special Session on Datastream Mining (IJCNN-S12+29), | * Katragadda, R. G. Benton and V. V. Raghavan. Sub-Event Detection from Tweets. Special Session on Datastream Mining (IJCNN-S12+29), | ||
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* A. Sharif and V. V. Raghavan. Link Prediction Based Hybrid Recommendation System using User-Page Preference Graphs. 2017 Int’l Joint Conference on Neural Networks (IJCNN 2017), Anchorage, AK, May 2017. | * A. Sharif and V. V. Raghavan. Link Prediction Based Hybrid Recommendation System using User-Page Preference Graphs. 2017 Int’l Joint Conference on Neural Networks (IJCNN 2017), Anchorage, AK, May 2017. | ||
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* Nasser, H. Sever and V. V. Raghavan, “Utilization Rough Sets for Intrusion Detection, | * Nasser, H. Sever and V. V. Raghavan, “Utilization Rough Sets for Intrusion Detection, | ||
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* Nadeem, Saad. “LMap: Shape-Preserving Local Mappings for Biomedical Visualization, | * Nadeem, Saad. “LMap: Shape-Preserving Local Mappings for Biomedical Visualization, | ||
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* Ha, Songsoo and Klaus Mueller. “A Look-Up Table-Based Ray Integration Framework for 2-D/3-D Forward and Back Projection in X-Ray CT,” IEEE transactions on medical imaging, v.1, 2017. doi:DOI: 10.1109/ | * Ha, Songsoo and Klaus Mueller. “A Look-Up Table-Based Ray Integration Framework for 2-D/3-D Forward and Back Projection in X-Ray CT,” IEEE transactions on medical imaging, v.1, 2017. doi:DOI: 10.1109/ | ||
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* Ming Chen, Geetika Bangera, Dean Hildebrand Farhaan Jalia, Geoff Kuenning, Henry Nelson, and Erez Zadok. vNFS: Maximizing NFS performance with compounds and vectorized I/O. ACM Transactions on Storage (TOS), 13(7), September 2017. | * Ming Chen, Geetika Bangera, Dean Hildebrand Farhaan Jalia, Geoff Kuenning, Henry Nelson, and Erez Zadok. vNFS: Maximizing NFS performance with compounds and vectorized I/O. ACM Transactions on Storage (TOS), 13(7), September 2017. | ||
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* Xiaoli Song and Xiaohua Hu, Pairwise Topic Model and its Application to Topic Transition and Evolution 2016 IEEE Big Data, Washington, D.C., Dec 5-8 2016 | * Xiaoli Song and Xiaohua Hu, Pairwise Topic Model and its Application to Topic Transition and Evolution 2016 IEEE Big Data, Washington, D.C., Dec 5-8 2016 | ||
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- | * Xiaoli Song and Xiaohua Hu, Semantic Pattern Mining for Text Mining 2016 IEEE Big Data, Washington, D.C., Dec 5-8 2016 | + | * Xiaoli Song and Xiaohua Hu, Semantic Pattern Mining for Text Mining 2016 IEEE Big Data, Washington, D.C., Dec 5-8, 2016 |
* Bo Song, Jianliang Gao, Wemao Ke, and Xiaohua Hu, Achieving High k-Coverage and k-Consistency in Global Alignment of Multiple PPI Networks IEEE BIBM 2016. Shenzhen, China, Dec 15-18 2016 | * Bo Song, Jianliang Gao, Wemao Ke, and Xiaohua Hu, Achieving High k-Coverage and k-Consistency in Global Alignment of Multiple PPI Networks IEEE BIBM 2016. Shenzhen, China, Dec 15-18 2016 | ||
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* Yusuf Osmanlıoglu, | * Yusuf Osmanlıoglu, | ||
- | * Yusuf Osmanlıoglu, | + | * Yusuf Osmanlıoglu, |
* Ezgi Can Ozan, Serkan Kiranyaz, Moncef Gabbouj, and X. Hu, Self-Organizing Binary Encoding for Approximate Nearest Neighbor Search Proc. 24th European Signal Processing Conference (EUSIPCO 2016). | * Ezgi Can Ozan, Serkan Kiranyaz, Moncef Gabbouj, and X. Hu, Self-Organizing Binary Encoding for Approximate Nearest Neighbor Search Proc. 24th European Signal Processing Conference (EUSIPCO 2016). | ||
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* Wanying Ding, Yue Shang, Lifan Guo, Xiaohua Hu, Rui Yan, Tingting He, Video Popularity Prediction by Sentiment Propagation via Implicit Network regular paper, CIKM 2015. | * Wanying Ding, Yue Shang, Lifan Guo, Xiaohua Hu, Rui Yan, Tingting He, Video Popularity Prediction by Sentiment Propagation via Implicit Network regular paper, CIKM 2015. | ||
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* Rui Yan, Xiang Li, Mengwen Liu, Xiaohua Hu, Tackling Sparsity, the Achilles Heel of Social Networks: Language Model Smoothing via Social Regularization ACL (2) 2015: 623-629. | * Rui Yan, Xiang Li, Mengwen Liu, Xiaohua Hu, Tackling Sparsity, the Achilles Heel of Social Networks: Language Model Smoothing via Social Regularization ACL (2) 2015: 623-629. | ||
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* Venkat N. Gudivada, Ricardo Baeza-Yates, | * Venkat N. Gudivada, Ricardo Baeza-Yates, | ||
- | | + | – 23. February 2015. |
* Nicholas G. Lipari and Christoph W. Borst, Handymenu: Integrating Menu Selection into a Multifunction Smartphone-based VR Controller Proceedings of IEEE 3D User Interfaces (3DUI) 2015, pp. 129-132. | * Nicholas G. Lipari and Christoph W. Borst, Handymenu: Integrating Menu Selection into a Multifunction Smartphone-based VR Controller Proceedings of IEEE 3D User Interfaces (3DUI) 2015, pp. 129-132. | ||
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* Elshaimaa Ali and Vijay Raghavan, Extending SKOS: A Wikipedia-based Unified Annotation Model for Creating Interoperable Domain Ontologies 22nd International Symposium on Methodologies for Intelligent Systems (ISMIS 2015). Springer LNCS. Lyon, France. October 2015. | * Elshaimaa Ali and Vijay Raghavan, Extending SKOS: A Wikipedia-based Unified Annotation Model for Creating Interoperable Domain Ontologies 22nd International Symposium on Methodologies for Intelligent Systems (ISMIS 2015). Springer LNCS. Lyon, France. October 2015. | ||
- | * V.N. Gudivada, Dhana Rao, Vijay Raghavan, Big Data Driven Natural Language Processing and Applications Big Data Analytics- Handbook of Statistics. Volume 33, Elsevier, pp. 203-238, July 2015. | + | * V.N. Gudivada, Dhana Rao, Vijay Raghavan, Big Data-Driven Natural Language Processing and Applications Big Data Analytics- Handbook of Statistics. Volume 33, Elsevier, pp. 203-238, July 2015. |
* V. Govindaraju, | * V. Govindaraju, | ||
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* Jennifer Lavergne, Ryan Benton, and Vijay V. Raghavan, | * Jennifer Lavergne, Ryan Benton, and Vijay V. Raghavan, | ||
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- | ==== 2016 ==== | ||
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- | ===== Archives ===== | ||
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