CVDI - Related Publications

2017
  1. Satya Katragadda, Ryan Benton, and Vijay Raghavan, Framework for Real-Time Event Detection using Multiple Social Media Sources Hawaii International Conference on System Sciences, Hilton Waikoloa Village, Hawaii, 8 pages, January 4 – 8, 2017.
2016
  1.  Jian Wang, Honglei Li, Yuan An, Hongfei Lin, Zhihao Yang, Biomedical event trigger detection based on convolutional neural network International Journal of Data Mining and Bioinformatics 15(3): 195-213 (2016)
  2. Jian Wang, Jianhai Zhang, Yuan An, Hongfei Lin, Zhihao Yang, Yijia Zhang and Yuanyuan, Sun Biomedical event trigger detection by dependency-based word embedding BMC Medical Genomics. 2016 9(Suppl 2):45
  3. Liu M., Fang Y., Park D., Hu X., Yu Z., Retrieving Non-Redundant Questions to Summarize a Product Review SIGIR 2016, Pisa, Italy, July 17-21, 2016
  4. 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
  5. Xiaoli Song and Xiaohua Hu, Semantic Pattern Mining for Text Mining 2016 IEEE Big Data, Washington, D.C., Dec 5-8 2016
  6. 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
  7. Yusuf Osmanlıoglu, Ali Shokoufandeh, Multilayer Matching of Metric Structures Using Hierarchically Well-separated Trees Pattern Recognition Letters Journal. 2016.
  8. Yusuf Osmanlıoglu, Ali Shokoufandeh, Graph Based Question Answering Using Quadratic Assignment Mid-Atlantic Student Colloquium on Speech, Language and Learning (MASC-SLL), 2016 [Workshop]
  9. 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).
  10. C. Aytekin, A. Iosifidis, S. Kiranyaz and M. Gabbouj, Salient Object Segmentation based on Linearly Combined Affinity Graphs Proc. International Conference on Pattern Recognition (ICPR), Cancun, Mexico, 2016
  11. Caglar Aytekin, Serkan Kiranyaz, Alexandros Iosifidis and Moncef Gabbouj, Recent Advances in Salient Object Detection – Towards Object Recognition in Bid Media Data Futura — Big Data, vol. 35, no. 2, pp. 80-92, 2016.
  12. Morteza Zabihi, Ali B. Rad, Serkan Kiranyaz, Moncef Gabbouj and Aggelos K. Katsaggelos, PhysioNet/CinC Challenge: Normal/Abnormal PCG Classification using an Ensemble of Support Vector Machines Proceedings of Computing in Cardiology, CinC 2016, Vancouver, Canada, September 11 – 14, 2016.
  13. Jenni Raitoharju, Serkan Kiranyaz, Moncef Gabbouj, Feature synthesis for image classification and retrieval via one-against-all perceptrons Neural Computing and Applications, 29 July 2016, p. 1-15.
  14. Jenni Raitoharju, Serkan Kiranyaz and Moncef Gabbouj, Training Radial Basis Function Neural Networks for Classification via Class-specific Clustering IEEE Transactions on Neural Networks and Learning Systems, vol, 27, Dec. 2016.
  15. A. Iosifidis and M. Gabbouj, Graph-regularized Multi-class Support Vector Machines for Face and Action Recognition Proc. European Signal Processing Conference (EUSIPCO), Budapest, Hungary, 2016
  16. Alexandros Iosifidis and Moncef Gabbouj Supervised learning based on deep randomized networks Proc. IEEE International Conference on Acoustic Speech and Signal Processing, ICASSP 2016, 21-25 March 2016, Shanghai, China, pp. 2584-2588.
  17. A. Iosifidis and M. Gabbouj Combining Multi-class Maximum Margin Classification with Linear Discriminant Analysis for Human Action Recognition Proc. IEEE International Conference on Image Processing (ICIP), Arizona, USA, 2016.
  18. A. Iosifidis, A. Tefas, I. Pitas and M. Gabbouj, A review of approximate methods for kernel-based Big Media Data Analysis Proc. European Signal Processing Conference (EUSIPCO), Budapest, Hungary, 2016
  19. A. Iosifidis and M. Gabbouj, Hierarchical Class-Specific Kernel Discriminant Analysis for Face Verification Proc. IEEE Conference on Visual Communications and Image Processing, VCIP’16, Chengdu, China, 2016
  20. Alexandros Iosifidis and Moncef Gabbouj, Multi-class Support Vector Machine Classifiers using Intrinsic and Penalty Graphs Pattern Recognition, vol. 55, July 2016, pp. 231-246.
  21. S. Kiranyaz, M.-A. Waris, I. Ahmad, R. Hamila, and M. Gabbouj, Face Segmentation ın thumbnail Images by Data-Adaptive Convolutional Segmentation Networks Proc. Int. Conf. on Image Processing, (ICIP), Phoenix, Arizona, USA, September 25-28, 2016.
  22. Osama Abdeljaber, Onur Avci, Serkan Kiranyaz, Moncef Gabbouj, Daniel J. Inman, Real-Time Vibration-Based Structural Damage Detection Using One-Dimensional Convolutional Neural Networks Journal of Sound and Vibration, in press 2016.
  23. Jian Chen, Shaaban Abbady, Maria Bala Duggimpudi, Spatio-Temporal Outlier Detection: Did Buoys Tell Where the Hurricanes Were? Papers in Applied Geography, May 2016.
  24. Satya Katragadda, Ryan Benton, Shahid Virani, and Vijay Raghavan, Detection of Event Onset using Twitter IEEE International Joint Conference on Neural Networks, Vancouver, Canada, pp.1539-1546, July 25-29, 2016.
  25. Y. Xie, Jing He, and V. Raghavan, Identifying Minimum-Sized Influential Vertices on Large-Scale Weighted Graphs: A Big Data Perspective Data Science and Big Data Computing: Frameworks and Methodologies. Springer-Verlag, Berlin-Heidelberg, pp. 79-92, 2016 (ISBN 978-3-319-31861-5).
  26. M. K. Pusala, M. A. Salehi, J. R. Katukuri, Y. Xie, and V. V. Raghavan, Massive Data Analysis: Tasks, Tools, Applications and Challenges Big Data Analytics- Methods and Applictions. Chapter 2, Springer-Verlag, New Delhi, pp. 33-46, 2016 (ISBN 978-8-132-23626-9).
  27. S. R. Venna, R. N. Gottumukkala and V. V. Raghavan, Visual Analytic Decision-Making Environments for Large-scale Time-evolving Graphs Cognitive Computing- Theory and Applications: Handbook of Statistics (Volume 35). Elsevier, Amsterdam, pp. 81 – 116, 2016.
  28. V. N. Gudivada, V. V. Raghavan, V. Govindaraju , C. R. Rao (Editors), Cognitive Computing- Theory and Applications: Handbook of Statistics Cognitive Computing- Theory and Applications: Handbook of Statistics (Volume 35), September 2016, ISBN: 978-0-444-63744-4, Elsevier, Amsterdam, Netherlands.
  29. V.N. Gudivada, Dhana Rao and V. V. Raghavan, Renaissance in Database Management: Navigating the Landscape of Candidate Systems IEEE Computer, Vol. 49, No. 4, pp. 31 – 42, April. 2016.
  30. M. B. Duggimpudi, A. Moursy, E. Ali and V. V. Raghavan, An Ontology-based Architecture for Providing Insights in Wireless Networks Domain Proc. of the IEEE/WIC/ACM International Conference on Web Intelligence (WI 2016), Omaha, NE, Oct. 2016.
  31. Nicholas G. Lipari, Christoph W. Borst, Mehmet Engin Tozal, Visual Analytics Using Graph Sampling and Summarization on Multitouch Displays Proceedings of the International Symposium on Visual Computing (ISVC) 2016, Part I, LNCS 10072, pp. 462-471. http://link.springer.com/chapter/10.1007/978-3-319-50835-1_42
2015
  1. Rui Yan, Ian E.H. Yen, Cheng-Te Li, Shiqi Zhao, Xiaohua Hu, Tackling the Achilles Heel of Social Networks: Influence Propagation based Language Model Smoothing WWW 2015. Florence 18-22, May 2015.
  2. Mengwen Liu, Yuan An, et al., Constraint Multi-Instance Multi-Label Model for Distant Supervision of Biomedical Relation Extraction IEEE IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2015.
  3. Meen Chul Kim, Chaomei Chen, A scientometric review of emerging trends and new developments in recommendation systems. Scientometrics, 104(1), 239-263. 2015.
  4. Meen Chul Kim, Yongjun Zhu, Chaomei Chen, How are they different? A quantitative domain comparison of information visualization and data visualization (2000-2014) Scientometrics
  5. Anton Slutsky,  Xiaohua Hu, Yuan An, Learning Focused Hierarchical Topic Models with Semi-Supervision in Microblogs PAKDD 2015.
  6. 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.
  7. 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.
  8. Yue Shang, Wanying Ding, Haohong Wang, Lifan Guo, Mengwen Liu, Xiaoli Song, Xiaohua Hu, Yuan, An Scalable User Intent Mining using a Multimodal Restricted Boltzmann Machine. International Conference on Computing Networking and Communications(ICNC 2015). Anaheim, California, USA. 2015.
  9. Yusuf Osmanlioglu, Sven J. Dickinson, and Ali Shokoufandeh, Unsupervised Motion Segmentation Using Metric Embedding of Features Similarity-Based Pattern Recognition – Third International Workshop, (SIMBAD}. 2015. Copenhagen, Denmark. October 12-14, 2015. PP 133-145.
  10. G. Rama Murthy, Moncef Gabbouj and Iftikhar Ahmad, Image Retrieval: Information and Rough Set Theories Proc. International Conference on Image and Signal Processing, August 2015, Elsevier Publishers.
  11. Ezgi Can Ozan, Serkan Kiranyaz, Moncef Gabbouj, and X. Hu, Joint K-Means Quantization for Approximate Nearest Neighbor Search Proc. 2016 23rd International Conference on Pattern Recognition (ICPR 2016).
  12. G. Rama Murthy and Moncef Gabbouj, Linear Congruential Sequences: Feedback and Recurrent Neural Networks Proc. Third International Conference on Emerging Research in Computing, Information and Communication and Applications (ERCICA 2015).
  13. G. Rama Murthy, Berkay Kicanoglu and Moncef Gabbouj, On the Dynamics of a Recurrent Hopfield Network Proceedings of IEEE International Joint Conference on Neural Networks (IJCNN 2015), July 2015, Pages: 1 – 8, DOI: 10.1109/IJCNN.2015.7280504.
  14. G. Rama Murthy and Moncef Gabbouj, On the Design of Hopfield Neural Networks: Synthesis of Hopfield Type Associative Memories Proceedings of IEEE International Joint Conference on Neural Networks (IJCNN 2015), July 2015, Pages: 1 – 8, DOI: 10.1109/IJCNN.2015.7280299.
  15. G. Rama Murthy and Moncef Gabbouj, Existence and Synthesis of Complex Hopfield Type Associative Memories Proceedings of International Conference on Artificial Neural Networks, June 2015, Lecture Notes in Computer Science, Springer, vol 9095, pp 356-369.
  16. Caglar Aytekin, Ezgi Can Ozan, Serkan Kiranyaz, Moncef Gabbouj, Visual Saliency by Extended Quantum Cuts Proceedings of the IEEE International Conference on Image Processing, ICIP 2015, Quebec City, 27-30 September 2015.
  17. Ying Xie, Tom Johnsten, Vijay V. Raghavan, Ryan G. Benton, and William Bush,  A Comprehensive Granular Model for Decision Making with Complex Data Granular Computing and Decision-Making: Interactive and Iterative Approaches, Witold Pedrycz and Shyi-Ming Chen (ed.), Springer, pp. 36-46. 2015.
  18. Sonya Hsu, Ryan Benton, and Raju Gottumukkala, Real-Time Flu Monitoring System and Decision Informatics In Hawaii International Conference on System Sciences, Kauai, Hawaii, pp. 2794-2803, January 5-8, 2015.
  19. Venkat N. Gudivada, Ricardo Baeza-Yates, Vijay Raghavan Big Data: Promises and Problems IEEE Computer 48(3): 20 – 23. February 2015.
  20. 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.
  21. Raju N. Gottumukkala, Siva R. Venna, Vijay Raghavan, Visual Analytics of Time Evolving Large-scale Graphs The IEEE Intelligent Informatics Bulletin. December 2015.
  22. N. M. Hk. AlSudairy, A. M. Hafez, V. V. Raghavan and H. I. Mathkour, Candidate Graph Generation Algorithm Proc. of the 9th International Conf. on Computer Engineering and Applications (CEA 2015)- in conjunction with WSEAS, Feb. 2015.
  23. Vijay Raghavan, Satya Katragadda, Harika Karnati, Murali Pusala, and Ryan Benton, Detecting Adverse Drug Effects Using Link Classification on Twitter Data IEEE International Conference on Bioinformatics and Biomedicine. Bethesda, Maryland. pp. 675-679. Nov 9 – 12, 2015.
  24. 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.
  25. 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.
  26. V. Govindaraju, Vijay Raghavan, C. R. Rao (Eds.), Big Data Analytics- Handbook of Statistics Volume 33, Elsevier, July 2015.
2014
  1. Lin, X. Zhang, M. Shang, Y., and An, Y., An ontology and brain-model-based semantic discovery and visualization system “Paper presented at Cognitive’2014: The sixth International Conference on Advanced Cognitive Technologies and Applications. May 25-29, 2014. (Best Paper award)
  2. W Ding, C Chen, Dynamic topic detection and tracking: A comparison of HDP, Co‐word, and cocitation methods Journal of the Association for Information Science and Technology, 65(10), 2084-2097. (2014)
  3. C Chen, R Dubin, MC Kim, Emerging Trends and New Developments in Regenerative Medicine: A Scientometric Update (2000-2014) Expert Opinion On Biological Therapy, 14(9), 1295-1317. (2014)
  4. C Chen, R Dubin, MC Kim, Orphan Drugs and Rare Diseases: A Scientometric Review (2000-2014) Expert Opinion on Orphan Drugs 2 (7), 1-16. (2014)
  5. Zunyan Xiong, Yizhou Zang, Xingpeng Jiang, Xiaohua Hu, Document Clustering with an Augmented Nonnegative Matrix Factorization Model PAKDD (2) 2014: 348-359
  6. Anton Slutsky, Xiaohua Hu, Yuan An, Hash-Based Stream LDA: Topic Modeling in Social Streams PAKDD (1) 2014: 151-162
  7. Haozhen Zhao, Xiaohua Hu, Language Model Document Priors based on Citation and Co-citation Analysis BIR@ECIR 2014: 29-36
  8. Yuan Ling, Yuan An, Xiaohua Hu A, Matching Framework for Modeling Symptom and Medication Relationships from Clinical Notes In the IEEE Conference on Bioinformatics and Biomedicine (BIBM14), pages 515-520.
  9. Yizhou Zang, Yuan An, and Xiaohua Hu, Automatically Recommending Healthy Living Programs to Patients with Chronic Diseases through Hybrid Content-Based and Collaborative Filtering In IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2014, Belfast, UK, pages 578-582.
  10. Mengwen Liu, Yuan Ling, Yuan An, Xiaohua Hu, Alan Yagoda, and Rick Misra, Relation Extraction from Biomedical Literature with Minimal Supervision and Grouping Strategy In the IEEE Conference on Bioinformatics and Biomedicine (BIBM14), pages 444-449.
  11. Elshaimaa Ali, Michael Lauruhn, Vijay Raghavan, Wikipedia-based Extraction of Lightweight Ontologies for Concept Level Annotation International Conference on Dublin Core and Metadata Applications (DC 2014). Austin, Tx. October 2014.
  12. Mohammad Amir Sharif, Vijay V. Raghavan, A Clustering Based Scalable Hybrid Approach for Web Page Recommendation Proc. of the 2014 IEEE International Conference on Big Data: 2nd Workshop on Scalable Machine Learning: Theory and Applications, Oct. 2014, Washington, D.C.
  13. Satya Katragadda, Miao Jin, Vijay V. Raghavan, An Unsupervised Approach to Identify Location Based on the Content of User’s Tweet History AMT 2014: 311-323.
  14. Mohammad Amir Sharif, Vijay V. Raghavan, A Large-Scale, Hybrid Approach for Recommending Pages Based on Previous User Click Pattern and Content ISMIS 2014: 103-112.
2013
  1. R. Khare, Y. An, S. Wolf, P. Nyirjesy, L. Liu, and E. Chou, Understanding the EMR Error Control Practices among Gynecologic Physicians In iConference 2013, 13 pages Fort Worth, Texas, 2013.
  2. Yuan Ling, Yuan An, Mengwen Liu, and Xiaohua Hu, An Error Detecting and Tagging Framework for Reducing Data Entry Errors in Electronic Medical Records (EMR) System In IEEE BIBM 2013. pages 249-254. Shanghai, China. Dec. 18-21, 2013. (Best Student Paper Award)
  3. Yue Shang, Yuan An, Xiaohua Hu, Mi Zhang, and Xia Lin, Enhancing Entity Annotation using Web Service and Ontology Hierarchy in Biomedical Domains In IEEE BIBM 2013. pages 465-468. Shanghai, China. Dec. 18-21, 2013.
  4. Wanying Ding, Xiaoli Song, Lifan Guo, Zunyan Xiong, Xiaohua Hu, A Novel Hybrid HDP-LDA Model for Sentiment Analysis Web Intelligence 2013: 329-336
  5. Anton Slutsky, Xiaohua Hu, Yuan An, Tree Labeled LDA: A Hierarchical model for web summaries BigData Conference 2013: 134-140
  6. Prabhakar V. Vemavarapu and Christoph W. Borst, Evaluation of a Handheld Touch Device as an Alternative to Standard Ray-based Selection in a Geosciences Visualization Environment Workshop on Off-the-Shelf Virtual Reality (OTSVR) at IEEE VR 2013. Yes
  7. Jennifer Lavergne, Ryan Benton, Vijay Raghavan and Alaaeldin Hafez, DynTARM: An In-Memory Data Structure for Targeted Strong and Rare Association Rule Mining Over Time-Varying Domains In IEEE/WIC/ACM International Conference on Web Intelligence, Atlanta, GA, pp. 298-306, November 17-20, 2013
  8. V. V. Raghavan and Elshaimaa Ali, Modeling the Wikipedia for Web Annotation: Towards Building a Semantic Annotation Framework In proceeding of: IADIS International Conference WWW/INTERNET 2013, Fort Worth, TX, pp. 243 – 250, Oct. 2013.
2012
  1. Yuan An, Ritu Khare, Xiaohua Hu, Il-Yeol Song, Bridging Encounter Forms and Electronic Medical Record Databases: Annotation, Mapping, and Integration “In the IEEE Conference on Bioinformatics and Biomedicine (BIBM12), pages 403-406, Oct. 2012, Philadelphia, PA.
  2. Rogers M, Zach L, An Yuan, Dalrymple P., Capturing information needs of care providers to support knowledge sharing and distributed decision making Applied Clinical Informatics. 2012; 3: 1–13.
  3. Yuan An, Xiaohua Hu, Il-Yeol Song, Learning to Discover Complex Mappings from Web Forms to Ontologies “In the 21st ACM International Conference on Information and Knowledge Management (CIKM’12), pages 1253-1262, Oct. 29-Nov. 2, 2012, Maui, Hawaii.
  4. Xin Chen, Xiaohua Hu, Zhongna Zhou, Yuan An, Tingting He, E. K., Park Modeling Semantic Relations between Visual Attributes and Object Categories via Dirichlet Forest Prior “In the 21st ACM International Conference on Information and Knowledge Management (CIKM’12), pages 1263-1272, Oct. 29-Nov. 2, 2012, Maui, Hawaii.
  5. Fang Li, Tingting He, Xinhui Tu, Xiaohua Hu, Incorporating word correlation into tag-topic model for semantic knowledge acquisition CIKM 2012: 1622-1626
  6. Xiaodan Zhang, Xiaohua Hu, Tingting Hu, E. K. Park, Xiaohua Zhou, Utilizing Different Link Types to Enhance Document Clustering Based on Markov Random Field Model With Relaxation Labeling IEEE Transactions on Systems, Man, and Cybernetics, Part A 42(5): 1167-1182 (2012)
  7. Jennifer Lavergne, Ryan Benton, and Vijay V. Raghavan, Min-Max Itemset Trees for Dense and Categorical Datasets “In 20th International Symposium on Methodologies for Intelligent Systems, Macau, pp 51-60, December 4-7, 2012.
  8. 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.