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about:publications:archives [2021/03/10 14:42]
andrea.frey [2016] 		about:publications:archives [2021/03/23 10:12] (current)
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-====== CVDI-Related Publications ======+====== CVDI-Related Publications (Archives) ======
  
 ===== 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.  
 + 
 +  * 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), 2017 Int’l Joint Conference on Neural Networks (IJCNN 2017), Anchorage, AK, May 2017.    * Katragadda, R. G. Benton and V. V. Raghavan. Sub-Event Detection from Tweets. Special Session on Datastream Mining (IJCNN-S12+29), 2017 Int’l Joint Conference on Neural Networks (IJCNN 2017), Anchorage, AK, May 2017. 
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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,” Position Paper, Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS 2017), Otsu, Japan, June 2017.    * Nasser, H. Sever and V. V. Raghavan, “Utilization Rough Sets for Intrusion Detection,” Position Paper, Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS 2017), Otsu, Japan, June 2017. 
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   * Nadeem, Saad. “LMap: Shape-Preserving Local Mappings for Biomedical Visualization,” IEEE transactions on visualization and computer graphics, v. 11, 2017.    * Nadeem, Saad. “LMap: Shape-Preserving Local Mappings for Biomedical Visualization,” IEEE transactions on visualization and computer graphics, v. 11, 2017. 
  
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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/TMI.2017.2741781    * 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/TMI.2017.2741781 
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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 
-  *  + 
-  * 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, Ali Shokoufandeh, Multilayer Matching of Metric Structures Using Hierarchically Well-separated Trees Pattern Recognition Letters Journal. 2016.    * Yusuf Osmanlıoglu, Ali Shokoufandeh, Multilayer Matching of Metric Structures Using Hierarchically Well-separated Trees Pattern Recognition Letters Journal. 2016. 
  
-  * Yusuf Osmanlıoglu, Ali Shokoufandeh, Graph Based Question Answering Using Quadratic Assignment Mid-Atlantic Student Colloquium on Speech, Language and Learning (MASC-SLL), 2016 [Workshop] +  * Yusuf Osmanlıoglu, Ali Shokoufandeh, Graph-Based Question Answering Using Quadratic Assignment Mid-Atlantic Student Colloquium on Speech, Language and Learning (MASC-SLL), 2016 [Workshop] 
  
   * 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. 
-  * +
   * 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, Vijay Raghavan Big Data: Promises and Problems IEEE Computer 48(3): 20    * Venkat N. Gudivada, Ricardo Baeza-Yates, Vijay Raghavan Big Data: Promises and Problems IEEE Computer 48(3): 20 
-    – 23. February 2015. +– 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, Vijay Raghavan, C. R. Rao (Eds.), Big Data Analytics- Handbook of Statistics Volume 33, Elsevier, July 2015.    * V. Govindaraju, Vijay Raghavan, C. R. Rao (Eds.), Big Data Analytics- Handbook of Statistics Volume 33, Elsevier, July 2015. 
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   * Jennifer Lavergne, Ryan Benton, and Vijay V. Raghavan,  TRARM-RelSup: Targeted Rare Association Rule Mining Using Itemset Trees and the Relative Support Measure “In 20th International Symposium on Methodologies for Intelligent Systems, Macau, pp. 61-70, December 4-7, 2012.    * Jennifer Lavergne, Ryan Benton, and Vijay V. Raghavan,  TRARM-RelSup: Targeted Rare Association Rule Mining Using Itemset Trees and the Relative Support Measure “In 20th International Symposium on Methodologies for Intelligent Systems, Macau, pp. 61-70, December 4-7, 2012. 
  
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-===== Archives ===== 
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about/publications/archives.1615408964.txt.gz · Last modified: 2021/03/10 14:42 by andrea.frey

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