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CVDI-Related Publications

2021

  • Langevin, Alex; Cody, Tyler; Adams, Stephen; Beling, Peter. Generative adversarial networks for data augmentation and transfer in credit card fraud detection Journal of the Operational Research Society. ISSN: 0160-5682. Pages 1-28. January 2021. https://doi.org/10.1080/01605682.2021.1880296

2020

  • Sekhon, Jasmine; Fleming, Cody. A Spatially and Temporally Attentive Joint Trajectory Prediction Framework for Modeling Vessel Intent Proceedings of the 2nd Conference on Learning for Dynamics and Control. Pages 318-327. January 2020.
  • Sun, Q; Huang, F; Wei, L; Luebke, D; Kaufman, A; Kim, J. Eccentricity effects on blur and depth perception Optics express. Vol 28. Issue 5. Pages 6734-6739. ISSN 1094-4087. March 2020.
  • Mathew, S.; Nadeem, S; Kumari, S; Kaufman, A. Augmenting Colonoscopy Using Extended and Directional CycleGAN for Lossy Image Translation IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Pages 4696-4705. June 2020.
  • Sial, H. Light Direction and Color Estimation from Single Image with Deep Regression London Imaging Meeting, 2020. July 2020.
  • Das, S.; Sial, H Ma; Baldrich, R.; Vanrell, M.; Samaras, D. Intrinsic Decomposition of Document Images In-the-Wild British Machine Vision Conference (BMVC). July 2020.
  • Dmitriev, K; Kaufman, A. Holistic Analysis of Abdominal CT for Predicting the Grade of Dysplasia of Pancreatic Lesions International Conference on Medical Image Computing and Computer-Assisted Intervention. October 2020.
  • Coelho, Darius; Trailor, Rubin; Sill, Daniel; Engle, Sophie; Joshi, Alark; Mankovskii, Serge; Velez-Rojas, Maria; Greenspan, Steven; Mueller, Klaus. Collaborative Visual Analytics Using Blockchain Cooperative Design, Visualization and Engineering (CDVE). October 2020.
  • Jadhav, S.; Dmitriev, K.; Marino, J.; Kaufman, A. 3D Virtual Pancreatography IEEE transactions on visualization and computer graphics. ISSN: 1941-0506. October 2020.
  • Narasimhaswamy, S ; Nguyen, T ; Hoai, M. Detecting Hands and Recognizing Physical Contact in the Wild Advances in neural information processing systems. ISSN: 1049-5258. October 19, 2020.
  • Quarmley, Megan; Yang, Zhibo; Athar, Shahrukh; Zelinksy, Gregory; Samaras, Dimitris; Jarcho, Johanna M. Nonverbal Behavioral Patterns Predict Social Rejection Elicited Aggression Ap-plied Multimodal Affect Recognition Workshop (AMAR). Pages 557-561. November 2020. https://doi.org/10.1109/FG47880.2020.00111
  • Athar, S.; Shu, Z; Samaras, D. Self-supervised Deformation Modeling for Facial Expression Editing IEEE International Conference on Automatic Face and Gesture Recognition. November 12, 2020.
  • ElSaadani, M.; Habib, E.; Abdelhameed A.M.; and Bayoumi, M. Soil moisture Modeling and Forecasting using Spatiotemporal Machine Learning-Based Models AGU Fall Conference. Virtual Poster Presentation. December 2020.
  • Darius Coelho, Ivan Chase, Klaus Mueller. PeckVis: A Visual Analytics Tool to Analyze Dominance Hierarchies in Small Groups. IEEE Transactions on Visualization and Computer Graphics. February 2020. DOI: 10.1109/TVCG.2020.2969056.
  • Dadgostari, Faraz; Guim, Mauricio; Beling, Peter A.; Livermore, Michael A.; Rockmore, Daniel N. Modeling law search as prediction Artificial Intelligence and Law. January 2020. doi: 10.1007/s10506-020-09261-5
  • Hosseini, Majid; Katragadda, Satya; Wojtkiewicz, Jessica; Gottumukkala, Raju; Maida, Anthony; Chambers, Terrence Lynn Direct Normal Irradiance Forecasting Using Multivariate Gated Recurrent Units Energies 2020, 13(15), 3914. https://doi.org/10.3390/en13153914
  • S. Kiranyaz, T. Ince, A. Iosifidis and M. Gabbouj. Operational Neural Networks. Neural Computing and Applications (2020). doi:10.1007/s00521-020-04780-3.
  • D. T. Tran, M. Yamac, A. Degerli, M. Gabbouj, and A. Iosifidis. Multilinear compressive learning. IEEE Transactions on Neural Networks and Learning Systems. 2020.
  • Serkan Kiranyaz, Morteza Zabihi, Ali Bahrami Rad, Turker Ince, Ridha Hamila, Moncef Gabbouj. Real-time Phonocardiogram Anomaly Detection by Adaptive 1D Convolutional Neural Networks. Neurocomputing. 19 May 2020. doi: https://doi.org/10.1016/j.neucom.2020.05.063.
  • Serkan Kiranyaz, Junaid Malik, Habib Ben Abdallah, Turker Ince, Alexandros Iosifidis and Moncef Gabbouj. Self-Organized Operational Neural Networks with Generative Neurons. April 2020. http://arxiv.org/abs/2004.11778.
  • F. Laakom, N. Passalis, J. Raitoharju, J. Nikkanen, A. Tefas, A. Iosifidis, and M. Gabbouj. Bag of Color Features for Color Constancy. IEEE Transactions on Image Processing. vol. 29, pp. 7722-7734. 2020. doi: 10.1109/TIP.2020.3004921.
  • F. Sohrab, J. Raitoharju, A. Iosifidis and M. Gabbouj. Ellipsoidal Subspace Support Vector Data Description. IEEE Access. vol. 8, pp. 122013-122025. 2020. doi: 10.1109/ACCESS.2020.3007123.

2019

  • Wojtkiewicz, J.; Hosseini, M.; Gottumukkala, R.; Chambers, T.L. Hour-Ahead Solar Irradiance Forecasting Using Multivariate Gated Recurrent Units. Energies 2019, 12, 4055.
  • Guanqun Cao, Alexandros Iosifidis, Moncef Gabbouj, Vijay Raghavan, Raju Gottumukkala. Deep Multi-view Learning to Rank. IEEE Trans. on Knowledge and Data Engineering. 2019. https://doi.org/10.1109/TKDE.2019.2942590
  • Katragadda, Satya, Raju Gottumukkala, Siva Venna, Nicholas Lipari, Shailendra Gaikwad, Murali Pusala, Jian Chen, Christoph W. Borst, Vijay Raghavan, and Magdy Bayoumi. VAStream: A Visual Analytics System for Fast Data Streams. In Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning). pp. 76 – 83. ACM. July 28- August 1, 2019. Chicago, IL.
  • Yuan An, Siling Chen, Nicholas Locantore, Matthew Allinder, Divya Mohan, and Russell Bowler. The Utility of Shapelets for Analyzing Physical Activity of COPD Patients and non-COPD controls. IEEE International Conference on Biomedical and Bioinformatics (BIBM 2019). Nov 2019. San Diego, CA.
  • Seyedkoosha Mirhosseini, Parmida Ghahremani, Sushant Ojar, Joseph Marino, Arie Kaufman. Exploration of Large Omnidirectional Images in Immersive Environments. 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). March 2019. DOI: 10.1109/VR.2019.8797777.
  • Morteza Zabihi, Serkan Kiranyaz, Ville Jäntti, Tarmo Lipping, and Moncef Gabbouj. Patient-Specific Seizure Detection Using Nonlinear Dynamics and Nullclines. IEEE Journal of Biomedical and Health Informatics. March 2019. DOI: 10.1109/JBHI.2019.2906400
  • Seyedkoosha Mirhosseini, Ievgeniia Gutenko, Sushant Ojal, Joseph Marino, Arie Kaufman. Immersive Virtual Colonoscopy. IEEE Transactions on Visualization and Computer Graphics. v.25. May 2019. DOI: 10.1109/TVCG.2019.2898763.
  • Tran, Serkan Kiranyaz, Moncef Gabbouj, and Alexandros Iosifidis. Heterogeneous Multilayer Generalized Operational Perceptron. IEEE Transactions on Neural Networks and Learning Systems. May 2019. DOI: 10.1109/TNNLS.2019.2914082
  • Dat Thanh Tran, Serkan Kiranyaz, Moncef Gabbouj, and Alexandros Iosifidis. PyGOP: A Python Library for Generalized Operational Perceptron Algorithms. Knowledge-Based Systems. October 2019. DOI: doi.org/10.1016/j.knosys.2019.06.009
  • S. Narasimhaswamy. Contextual Attention for Hand Detection in the Wild. IEEE International Conference on Computer Vision workshops. October 2019.
  • Sagnik Das, Ke Ma, Zhixin Shu, Dimitris Samaras, Roy Shilkrot. DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks. IEEE/CVF International Conference on Computer Vision. October 2019. DOI: 10.1109/ICCV.2019.00022.
  • D.T. Tran, S. Kiranyaz, M. Gabbouj, and A. Iosifidis. Progressive Operational Perceptron with Memory. Neurocomputing. October 31, 2019.
  • Ping Hu, Qi Sun, Piotr Didyk, Li-Yi Wei, Arie E. Kaufman. Reducing simulator sickness with perceptual camera control ACM Transactions on Graphics (TOG). v.38. November 2019. DOI: 10.1145/3355089.3356490.
  • Kromkowski, P.; Li, S.; Zhao, W.; Abraham, B.; Osborne, A.; Brown, D. E. Evaluating Statistical Models for Network Traffic Anomaly Detection Systems and Information Engineering Design Symposium (SIEDS). January 2019.
  • Sekhon, Jasmine; Fleming, Cody. Towards Improved Testing For Deep Learning 2019 IEEE/ACM 41st International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER). Pages 85-88. January 2019.
  • Kasa, Navin; Dahbura, Andrew; Ravoori, Charishma; Adams, Stephen. Improving Credit Card Fraud Detection by Profiling and Clustering Accounts 2019 Systems and Information Engineering Design Symposium (SIEDS). Pages 1-6. April 2019. doi: 10.1109/SIEDS.2019.8735623
  • Sun, Minghui; Rand, Krista; Fleming, Cody. 4 Dimensional waypoint generation for conflict-free trajectory based operation Aerospace Science and Technology. Volume 88. Issue C. Pages 350-361. May 2019. doi: 10.1016/j.ast.2019.03.035
  • Adams, Stephen; Greenspan, Steven; Velez-Rojas, Maria; Mankovski, Serge; Beling, Peter A. Data-driven simulation for energy consumption estimation in a smart home Environment Systems and Decisions. Volume 39. Issue 3. Pages 281-294. September 2019. doi: 10.1007/s10669-019-09727-1

2018

  • Bo Song, Jianliang Gao. Aligning Multiple PPI Networks with Representation Learning on Networks. 2018 IEEE BIBM Conference Proceeding. 2018. Retrieved from http://par.nsf.gov/biblio/10087303
  • Wojtkiewicz, J., Katragadda, S., & Gottumukkala, R. A Concept-Drift Based Predictive-Analytics Framework: Application for Real-Time Solar Irradiance Forecasting. In 2018 IEEE International Conference on Big Data (Big Data). Seattle, WA, USA. December 2018. pp. 5462-5464.
  • Adams, Stephen; Beling, Peter A; Greenspan, Steve; Velez-Rojas, Maria; Mankovski, Serge. (2018). Model-Based Trust Assessment for Internet of Things Networks. 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE). 1838-1843.
  • Wang, Yang; Adams, Stephen; Beling, Peter; Greenspan, Steven; Rajagopalan, Sridhar; Velez-Rojas, Maria; Mankovski, Serge; Boker, Steven; Brown, Donald. (2018). Privacy preserving distributed deep learning and its application in credit card fraud detection. 2018 17th IEEE International Conference on Trust, Security and Privacy In Computing And Communications/12th IEEE International Conference on Big Data Science and Engineering (TrustCom/BigDataSE).
  • D. Zarella, M.R. Quaschnick, D.E. Breen and F.U. Garcia. Estimation of Fine-Scale Histologic Features at Low Magnification. Archives of Pathology & Laboratory Medicine. Vol. 142, No. 11. November 2018. p. 1394-1402.
  • Xiao-Fei Zhang, Le Ou-Yang, Shuo Yang, Xiaohua Hu, Hong Yan. DiffGraph: an R package for identifying gene network rewiring using differential graphical models. Bioinformatics 34(9): 1571-1573 (2018).
  • Jianliang Gao, Bo Song, Xiaohua Hu, Fengxia Yan, Jianxin Wang. ConnectedAlign: a PPI network alignment method for identifying conserved protein complexes across multiple species. BMC Bioinformatics 19(9): 129-135 (2018).
  • Yuanyuan Ma, Xiaohua Hu, Tingting He, Xianchao Zhu, Meijun Zhou, Xingpeng Jiang. ESNMF: Evolutionary Symmetric Nonnegative Matrix Factorization for Dissecting Dynamic Microbial Networks. ICIC (3) 2018: 7-18.
  • Linh Le, Ying Xie, and V. V. Raghavan Deep Similarity-Enhanced K Nearest Neighbors. Special session on Information Granulation in Data Science and Scalable Computing. 2018 IEEE Data. Seattle, WA. December 2018.
  • Siva R. Venna, Amirhossein Tavanaei, Raju N. Gottumukkala, Vijay V. Raghavan, Anthony S. Maida, Stephen Nichols. A Novel Data-Driven Model for Real-Time Influenza Forecasting. IEEE Access. Volume 7. Issue 1. Pages 7691-7701. December 19, 2018.
  • Satya Katragadda, Jian Chen, and S. Abbady. Spatial hotspot detection using polygon propagation. International Journal of Digital Earth. 2018.
  • Satya Katragadda, Raju Gottumukkala, Murali Pusala, Vijay Raghavan and Jessica Wojtkiewicz. Distributed Real Time Link Prediction on Graph Streams. 2018 IEEE International Conference on Big Data (Big Data). Seattle, WA, USA. December 2018. pp. 2912-2917.
  • Adrian Mead, Tyler Lewris, Sai Prasanth, Stephen Adams, Peter Alonzi, Peter Beling. Detecting Fraud in Adversarial Environments: A Reinforcement Learning Approach. Systems and Information Engineering Design Symposium 2018.
  • Abhimanyu Roy, Jingyi Sun, Robert Mahoney, Loreto Alonzi, Stephen Adams, Peter Beling. Deep Learning Detecting Fraud in Credit Card Transactions. Systems and Information Engineering Design Symposium 2018.
  • Tyler Cody, Stephen Adams, Peter A. Beling. A Utilitarian Approach to Adversarial Learning in Credit Card Fraud Detection. Systems and Information Engineering Design Symposium 2018.
  • Im, Taeyu. “Smartphone based approximate localization using user highlighted texts from images,” Pervasive and mobile computing, v. 46, 2018.
  • Park, Ji Hwan. “Transfer Function-Guided Saliency-Aware Compression for Transmitting Volumetric Data,” IEEE transactions on multimedia, 2018.
  • Guanqun Cao, Alexandros Iosifidis, Ken Chen, and Moncef Gabbouj. Generalized Multi-View Embedding for Visual Recognition and Cross-Modal Retrieval. IEEE Transactions on Cybernetics. Vol. 48, no. 9. 2018. pp. 2542-2555. DOI: 10.1109/TCYB.2017.2742705
  • Dat Tran, Alexandros Iosifidis and Moncef Gabbouj. Improving efficiency in convolutional neural networks with multilinear filters. Neural Networks. 105, pp. 328-339. 2018.
  • Caglar Aytekin, Horst Possegger, Thomas Mauthner, Serkan Kiranyaz, Horst Bischof, and Moncef Gabbouj. Spatiotemporal Saliency Estimation by Spectral Foreground Detection. IEEE Transactions on Multimedia. Vol. 2, no. 1. pp. 82-95. January 2018. DOI: 10.1109/TMM.2017.2713982
  • Caglar Aytekin, Jarno Nikkanen and Moncef Gabbouj. A Dataset for Camera Independent Color Constancy. IEEE Transactions on Image Processing. Vol. 27, no. 2. pp. 530-544. February 2018. DOI: 10.1109/TIP.2017.2764264

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about/publications.txt · Last modified: 2021/04/09 11:53 by andrea.frey