Publications

Below is a list of faculty/student publications in 2018. Faculty and student names are displayed in bold and italic, respectively.

Articles in Conference Proceedings

  • G. Valenzuela, M. E. Celebi, and G. Schaefer, “Color Quantization Using Coreset Sampling,” in Proceedings of the 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2018), pp. 2096–2101, 2018.
  • N. C. F. Codella, D. Gutman, M. E. Celebi, B. Helba, M. A. Marchetti, S. W. Dusza, A. Kalloo, K. Liopyris, N. Mishra, H. Kittler, and A. Halpern, “Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC),” in Proceedings of the 2018 IEEE International Symposium on Biomedical Imaging (ISBI 2018), pp. 168–172, 2018.
  • M. Karakaya, “Deep Learning Frameworks for Off-Angle Iris Recognition,” in Proceedings of the IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), 2018.
  • S. Cetin and M. Karakaya, “Effect of Segmentation Errors on Off-Angle Iris Recognition,” in Proceedings of Disruptive Technologies in Information Sciences Conference, 2018.
  • A. Patooghy, E. Aerabi, H. Rezaei, M. Mark, M. Fazeli, and M. A. Kinsy, “Mystic: Mystifying IP Cores Using an Always-ON FSM Obfuscation Method,” in Proceedings of the 2018 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), pp. 626–631, 2018.
  • S. Kashi, A. Patooghy, D. Rahmatiy, M. Fazeli, and M. A. Kinsy, “Application Specific Networks-on-Chip Synthesis: An Energy Efficient Approach,” in Proceedings of the 2018 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), pp. 52–57, 2018.
  • A. Nourollah, A. Derafshi, H. Beitollahi, and A. Patooghy, “PAT-NOXIM: A Precise Power Thermal Cycle-Accurate NoC Simulator,” in Proceedings of the 2018 31st IEEE International System-on-Chip Conference (SOCC), pp. 163–168, 2018.
  • S. Zhong, X. Lu, M. Li, C. Liu, Y. Cheng, and V. S. Sheng, “An Adaptive Construction Test Method Based on Geometric Calculation for Linearly Separable Problems,” in Proceedings of the International Conference on Cloud Computing and Security (ICCCS 2018), pp. 392–405, 2018.
  • Q. Wang, V. S. Sheng, and Z. Liu, “Exploring Methods of Assessing Influence Relevance of News Articles,” in Proceedings of the International Conference on Cloud Computing and Security (ICCCS 2018), pp. 525–536, 2018.
  • H. Zhu, P. Zhao, Z. Li, J. Xu, L. Zhao, and V. S. Sheng, “Exploiting Implicit Social Relationship for Point-of-Interest Recommendation,” in Proceedings of the Asia-Pacific Web and Web-Age Information Management Joint International Conference on Web and Big Data (APWeb-WAIM 2018), pp. 280–297, 2018.

Articles in Journals

  • E. Ardizzone and M. E. Celebi, “Image and Video Analysis, Detection and Recognition,” Journal of Electronic Imaging, vol. 27, no. 5, p. 051201, 2018.
  • A. Katapadi, M. E. Celebi, S. Trotter, and M. Gurcan, “Evolving Strategies for the Development and Evaluation of a Computerized Melanoma Image Analysis System,” Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, vol. 6, no. 4, pp. 465–472, 2018.
  • J. Palmer and B. Chen, “Wineinformatics: Regression on the Grade and Price of Wines through Their Sensory Attributes,” Fermentation, vol. 4, no. 4, 84, 2018.
  • B. Chen, V. Velchev, J. Palmer, and T. Atkison, “Wineinformatics: A Quantitative Analysis of Wine Reviewers,” Fermentation, vol. 4, no. 4, 82, 2018.
  • T. Atkison, S. Ponomarev, R. K. Smith, and B. Chen, “Feature Extraction Optimization for Network Intrusion Detection in Control System Networks,” International Journal of Network Security, vol. 20, no. 5, pp. 853–861, 2018.
  • S. Hegde, T. Halic, M. Sawhney, D. B. Jones, S. De, and C. D. Jackson, “A Cognitive Task Analysis Approach toward Identifying Learning Requirements and Informing Training Design for Different Categories of Learners of Endoscopic Submucosal Dissection,” Gastrointestinal Endoscopy, vol. 87, no. 6S, p. Ab536, 2018.
  • J. H. Prim, O. V. Favorov, O. Kursun, and K. L. McCulloch, “The Development of the Portable Warrior Test of Tactical Agility (POWAR-TOTAL),” Archives of Physical Medicine and Rehabilitation, vol. 99, no. 11, p. e180, 2018.
  • M. Hosseini Rad, A. Patooghy, and M. Fazeli, “An Efficient Programming Skeleton for Clusters of Multi-Core Processors,”  International Journal of Parallel Programming, vol. 46, no. 6, pp. 1094–1109, 2018.
  • M. Taherifard, A. Patooghy, M. Fazeli, “Vulnerability Modelling of Cryptochips Against Scan-Based Attacks,” IET Information Security, vol. 12, no. 6, pp. 543–550, 2018.
  • S. M. Sebt, A. Patooghy, H. Beitollahi and M. Kinsy, “Circuit Enclaves Susceptible to Hardware Trojans Insertion at Gate-Level Designs,” IET Computers & Digital Techniques, vol. 12, no. 6, pp. 251–257, 2018.
  • B. Gu, Y. Shan, V. S. Sheng, Y. Zheng, and S. Li, “Sparse Regression with Output Correlation for Cardiac Ejection Fraction Estimation,” Information Sciences, vol. 423, pp. 303–312, 2018.
  • B. Gu, X. Quan, Y. Gu, V. S. Sheng, and G. Zheng, “Chunk Incremental Learning for Cost-Sensitive Hinge Loss Support Vector Machine,” Pattern Recognition, vol. 83, pp. 196–208, 2018.
  • B. Gu and V. S. Sheng, “A Solution Path Algorithm for General Parametric Quadratic Programming Problem,” IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 9, pp. 4462–4472, 2018.
  • J. Zhang, V. S. Sheng, T. Li, and X. Wu, “Improving Crowdsourced Label Quality Using Noise Correction,” IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 5, pp. 1675–1688, 2018.
  • Q. Wang, V. S. Sheng, and X. Wu, “Document-Specific Keyphrase Candidate Search and Ranking,” Expert Systems with Applications vol. 97, pp. 163–176, 2018.
  • J. Wu, A. Guo, V. S. Sheng, P. Zhao, and Z. Cui, “An Active Learning Approach for Multi-Label Image Classification with Sample Noise,” International Journal of Pattern Recognition and Artificial Intelligence, vol. 32, no. 3, 1850005, 2018.
  • Z. Zhou, P. Zhao, V. S. Sheng, J. Xu, Z. Li, J. Wu, and Z. Cui, “Efficient Sampling Methods for Characterizing POIs on Maps Based on Road Networks,” Frontiers of Computer Science, vol. 12, no. 3, pp. 582–592, 2018.
  • X. Chen, P. Zhao, J. Xu, Z. Li, L. Zhao, Y. Liu, V. S. Sheng, and Z Cui, “Exploiting Visual Contents in Posters and Still Frames for Movie Recommendation,” IEEE Access, vol. 6, pp. 68874–68881, 2018.
  • P. P. Zhao, H. F. Zhu, Y. Liu, Z. T. Zhou, Z. X. Li, J. J. Xu, L. Zhao, and V. S. Sheng, “A Generative Model Approach for Geo-Social Group Recommendation,” Journal of Computer Science and Technology, vol. 33, no. 4, pp. 727–738, 2018.