每日大赛网站

Menu

Publications (2018)

Below is a list of CS@ 每日大赛网站 faculty/student publications in 2018. The names of faculty members and students are displayed in bold and italics, respectively.

Articles in Conference Proceedings

  • G. Valenzuela, M. E. Celebi, and G. Schaefer, 鈥淐olor Quantization Using Coreset Sampling,鈥 in Proceedings of the 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2018), pp. 2096鈥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, 鈥淪kin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC),鈥 in Proceedings of the 2018 IEEE International Symposium on Biomedical Imaging (ISBI 2018), pp. 168鈥172, 2018.
  • M. Karakaya, 鈥淒eep Learning Frameworks for Off-Angle Iris Recognition,鈥 in Proceedings of the IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), 2018.
  • S. Cetin and M. Karakaya, 鈥淓ffect of Segmentation Errors on Off-Angle Iris Recognition,鈥 in Proceedings of Disruptive Technologies in Information Sciences Conference, 2018.
  • A. Patooghy, E. Aerabi, H. Rezaei, M. Mark, M. Fazeli, and M. A. Kinsy, 鈥淢ystic: Mystifying IP Cores Using an Always-ON FSM Obfuscation Method,鈥 in Proceedings of the 2018 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), pp. 626鈥631, 2018.
  • S. Kashi, A. Patooghy, D. Rahmatiy, M. Fazeli, and M. A. Kinsy, 鈥淎pplication Speci铿乧 Networks-on-Chip Synthesis: An Energy E铿僣ient Approach,鈥 in Proceedings of the 2018 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), pp. 52鈥57, 2018.
  • A. Nourollah, A. Derafshi, H. Beitollahi, and A. Patooghy, 鈥淧AT-NOXIM: A Precise Power Thermal Cycle-Accurate NoC Simulator,鈥 in Proceedings of the 2018 31st IEEE International System-on-Chip Conference (SOCC), pp. 163鈥168, 2018.
  • S. Zhong, X. Lu, M. Li, C. Liu, Y. Cheng, and V. S. Sheng, 鈥淎n Adaptive Construction Test Method Based on Geometric Calculation for Linearly Separable Problems,鈥 in Proceedings of the International Conference on Cloud Computing and Security (ICCCS 2018), pp. 392鈥405, 2018.
  • Q. Wang, V. S. Sheng, and Z. Liu, 鈥淓xploring Methods of Assessing Influence Relevance of News Articles,鈥 in Proceedings of the International Conference on Cloud Computing and Security (ICCCS 2018), pp. 525鈥536, 2018.
  • H. Zhu, P. Zhao, Z. Li, J. Xu, L. Zhao, and V. S. Sheng, 鈥淓xploiting Implicit Social Relationship for Point-of-Interest Recommendation,鈥 in Proceedings of the聽Asia-Pacific Web and Web-Age Information Management Joint International Conference on Web and Big Data (APWeb-WAIM 2018), pp. 280鈥297, 2018.

Articles in Journals

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