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2022

  • Al-Sa’d, Mohammad, Serkan Kiranyaz, Iftikhar Ahmad, Christian Sundell, Matti Vakkuri, and Moncef Gabbouj. 2022. “A Social Distance Estimation and Crowd Monitoring System for Surveillance Cameras” Sensors 22, no. 2: 418. https://doi.org/10.3390/s22020418
  • Shreeraj Jadhav, Gaofeng Deng, Marlene Zawin, Arie E. Kaufman. COVID-view: Diagnosis of COVID-19 using Chest CT. 2022. IEEE transactions on visualization and computer graphics. vol. 28. 2160-9306.
  • Hu P, Boorboor S, Marino J, Kaufman AE. Geometry-Aware Planar Embedding of Treelike Structures. IEEE Trans Vis Comput Graph. 2022 Feb 25; PP. doi: 10.1109/TVCG.2022.3153871.
  • Lee, Jenny H., Darius Coelho, and Klaus Mueller. 2022. “Cluster Appearance Glyphs: A Methodology for Illustrating High-Dimensional Data Patterns in 2-D Data Layouts” Information 13, no. 1: 3. https://doi.org/10.3390/info13010003
  • Ivan D. Chase, Darius Coelho, Won Lee, Klaus Mueller, James P. Curley, Networks never rest: An investigation of network evolution in three species of animals, Social Networks, Volume 68, 2022, Pages 356-373, ISSN 0378-8733, https://doi.org/10.1016/j.socnet.2021.09.002.
  • Foran DJ, Durbin EB, Chen W, Sadimin E, Sharma A, Banerjee I, Kurc T, Li N, Stroup AM, Harris G, Gu A, Schymura M, Gupta R, Bremer E, Balsamo J, DiPrima T, Wang F, Abousamra S, Samaras D, Hands I, Ward K, Saltz JH. An expandable informatics framework for enhancing central cancer registries with digital pathology specimens, computational imaging tools, and advanced mining capabilities. J Pathol Inform 2022;13:5. https://doi.org/10.4103/jpi.jpi_31_21
  • Z. Yang, M. Bastan, X. Zhu, D. Gray, and D. Samaras, “Hierarchical Proxy-based Loss for Deep Metric Learning,” 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022, pp. 449-458, doi: 10.1109/WACV51458.2022.00052.

2021

  • Sohrab, Fahad, Alexandros Iosifidis, Moncef Gabbouj, and Jenni Raitoharju. “Graph-Embedded Subspace Support Vector Data Description.” arXiv preprint arXiv:2104.14370 (2021).
  • Fahad Sohrab, Jenni Raitoharju, Alexandros Iosifidis, and Moncef Gabbouj, “Multimodal Subspace Support Vector Data Description,” Pattern Recognition, Volume 110, February 2021, 107648 https://doi.org/10.1016/j.patcog.2020.107648.
  • Kaitai Zhang, Bin Wang, Wei Wang, Fahad Sohrab, Moncef Gabbouj and C.-C. Jay Kuo, “AnomalyHop: An SSL-based Image Anomaly Localization Method,” 2021 IEEE International Conference on Visual Communications and Image Processing (VCIP 2021), 6-8 Dec 2021, Munich, Germany.
  • M. Ahishali, M. Yamac, S. Kiranyaz, and M. Gabbouj, “Representation Based Regression for Object Distance Estimation,” arXiv preprint arXiv:2106.14208, 2021.
  • Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Jarno Nikkanen, and Moncef Gabbouj, 2021, July. Monte Carlo Dropout Ensembles for Robust Illumination Estimation. In IJCNN, 2021.
  • Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Jarno Nikkanen, and Moncef Gabbouj. “Robust channel-wise illumination estimation.” BMVC 2021.
  • Firas Laakom, Jenni Raitoharju, Jarno Nikkanen, Alexandros Iosifidis, and Moncef Gabbouj, “INTEL-TAU: A Color Constancy Dataset,” IEEE Access, vol. 9, 2021, pp. 39560-39567, DOI: 10.1109/ACCESS.2021.3064382.
  • 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
  • ElSaadani M, Habib E, Abdelhameed AM and Bayoumi M. 2021. Assessment of a Spatiotemporal Deep Learning Approach for Soil Moisture Prediction and Filling the Gaps in Between Soil Moisture Observations. Frontiers in Artificial Intelligence. 4:636234. doi: 10.3389/frai.2021.636234
  • Katragadda, S., Gottumukkala, R., Bhupatiraju, R.T., Kamal, A., Raghavan, V., Chu, H., Kolluru, R., Ashkar, Z. Association mining based approach to analyze COVID-19 response and case growth in the United States. Sci Rep 11, 18635 (2021). https://doi.org/10.1038/s41598-021-96912-5
  • Katragadda, S., Gottumukkala, R., Bhupatiraju, R.T., Kamal, A., Raghavan, V., Chu, H., Kolluru, R., Ashkar, Z. Exploring the relationship between mobility and COVID−19 infection rates for the second peak in the United States using phase-wise association. BMC Public Health 21, 1669 (2021). https://doi.org/10.1186/s12889-021-11657-0
  • S. Boorboor, S. Mathew, M. Ananth, D. Talmage, L. W. Role and A. E. Kaufman, “NeuRegenerate: A Framework for Visualizing Neurodegeneration,” in IEEE Transactions on Visualization and Computer Graphics, doi: 10.1109/TVCG.2021.3127132.
  • Naoya Inoue, Harsh Trivedi, Steven Sinha, Niranjan Balasubramanian, and Kentaro Inui. 2021. Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 6064–6080, Online and Punta Cana, Dominican Republic. Association for Computational Linguistics.
  • K. Mueller and D. Bowman, “Message from the Editor-in-Chief and from the Associate Editor-in-Chief,” in IEEE Transactions on Visualization and Computer Graphics, vol. 27, no. 11, pp. 4085-4085, Nov. 2021, doi: 10.1109/TVCG.2021.3110543.
  • C.S. Richard Chan, Charuta Pethe, Steven Skiena, Natural language processing versus rule-based text analysis: Comparing BERT score and readability indices to predict crowdfunding outcomes, Journal of Business Venturing Insights, Volume 16, 2021, e00276, ISSN 2352-6734, https://doi.org/10.1016/j.jbvi.2021.e00276.
  • Ghai, Bhavya, and Mueller, Klaus. Fluent: An AI Augmented Writing Tool for People who Stutter. The 23rd International ACM SIGACCESS Conference on Computers and Accessibility. doi:10.1145/3441852.3471211.
  • Mathew S., Nadeem S., Kaufman A. (2021) FoldIt: Haustral Folds Detection and Segmentation in Colonoscopy Videos. In: de Bruijne M. et al. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2021. MICCAI 2021. Lecture Notes in Computer Science, vol 12903. Springer, Cham. https://doi.org/10.1007/978-3-030-87199-4_21
  • R. Wang and G. Zheng, “Disentangled Representation Learning For Deep MR To CT Synthesis Using Unpaired Data,” 2021 IEEE International Conference on Image Processing (ICIP), 2021, pp. 274-278, doi: 10.1109/ICIP42928.2021.9506660.
  • V. Tran, N. Balasubramanian and M. Hoai, “Progressive Knowledge Distillation For Early Action Recognition,” 2021 IEEE International Conference on Image Processing (ICIP), 2021, pp. 2583-2587, doi: 10.1109/ICIP42928.2021.9506507.
  • Giorgi, Salvatore, Nguyen, Khoa Le, Eichstaedt, Johannes C., Kern, Margaret L., Yaden, David. B., Kosinski, Michal, Seligman, Martin E., Ungar, Lyle H., Schwartz, H. Andrew, and Park, Gregory. Regional personality assessment through social media language. Journal of Personality. 2021. doi:10.1111/jopy.12674.
  • Ayush Kumar, Bharat Goel, Keshav Rajupet Premkumar, Michael Burch, and Klaus Mueller. 2021. EyeFIX: An Interactive Visual Analytics Interface for Eye Movement Analysis. The 14th International Symposium on Visual Information Communication and Interaction. Association for Computing Machinery, New York, NY, USA, Article 7, 1–5. DOI: https://doi.org/10.1145/3481549.3481562
  • P. Ghahremani, S. Boorboor, P. Mirhosseini, C. Gudisagar, M. Ananth, D. Talmage, L. Role, and A. Kaufman, “NeuroConstruct: 3D Reconstruction and Visualization of Neurites in Optical Microscopy Brain Images,” in IEEE Transactions on Visualization and Computer Graphics, 2021, doi: 10.1109/TVCG.2021.3109460.
  • Hieu Le, Dimitris Samaras, Heather J. Lynch. A convolutional neural network architecture designed for the automated survey of seabird colonies. Remote Sensing in Ecology and Conservation. 2021. https://doi.org/10.1002/rse2.240
  • Anjul Tyagi, Jian Zhao. User-Centric Semi-Automated Infographics Authoring and Recommendation. ArXivorg. 2021. 2331-8422.
  • Santiago Vargas, Rebecca Drucker, Aiswarya Renganathan, Aruna Balasubramanian, and Anshul Gandhi. 2021. BBR Bufferbloat in DASH Video. In Proceedings of the Web Conference 2021 (WWW '21). Association for Computing Machinery, New York, NY, USA, 329–341. DOI:https://doi.org/10.1145/3442381.3450061
  • Isabella Bouklas, Giselle Ferguson, Giancarlo Pasquini, Huy Vu, Mohammadzaman Zamani, Ruixue Zhaoyang, Stacey Scott, H Andrew Schwartz, Using Ecological and Twitter-Based Assessments to Examine Impacts in Temporal and Community Context, Innovation in Aging, Volume 5, Issue Supplement_1, 2021, Pages 14–15, https://doi.org/10.1093/geroni/igab046.053
  • Parmida Ghahremani, Yanyun Li, Arie Kaufman, Rami Vanguri, Noah Greenwald, Michael Angelo, Travis J. Hollmann, Saad Nadeem. Deep Learning-Inferred Multiplex ImmunoFluorescence for IHC Image Quantification. bioRxiv 2021.05.01.442219; doi: https://doi.org/10.1101/2021.05.01.442219
  • Z. Wei et al., “Sequence-to-Segments Networks for Detecting Segments in Videos,” in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 43, no. 3, pp. 1009-1021, 1 March 2021, doi: 10.1109/TPAMI.2019.2940225.
  • Himelein-Wachowiak M, Giorgi S, Devoto A, Rahman M, Ungar L, Schwartz HA, Epstein DH, Leggio L, Curtis B. Bots and Misinformation Spread on Social Media: Implications for COVID-19. J Med Internet Res 2021;23(5):e26933. doi: 10.2196/26933
  • Heeyoung Kwon, Nathanael Chambers, and Niranjan Balasubramanian. 2021. Toward Diverse Precondition Generation. In Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics, pages 160–172, Online. Association for Computational Linguistics. DOI: 10.18653/v1/2021.starsem-1.15
  • L. Hou, T. F. Y. Vicente, M. Hoai and D. Samaras, “Large Scale Shadow Annotation and Detection Using Lazy Annotation and Stacked CNNs,” in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 43, no. 4, pp. 1337-1351, 1 April 2021, doi: 10.1109/TPAMI.2019.2948011.
  • Youngseo Son, H Andrew Schwartz. Discourse Relation Embeddings: Representing the Relations between Discourse Segments in Social Media. ArXivorg. 2021. https://doi.org/10.48550/arXiv.2105.01306
  • Hu, X; Wang, Y; Fuxin, L; Samaras, D; Chen, C. Topology-Aware Segmentation Using Discrete Morse Theory. 2021. ICLR. https://doi.org/10.48550/arXiv.2103.09992
  • Zhi Li, Maozheng Zhao, Yifan Wang, Sina Rashidian, Furqan Baig, Rui Liu, Wanyu Liu, Michel Beaudouin-Lafon, Brooke Ellison, Fusheng Wang, IV Ramakrishnan, Xiaojun Bi.
  • BayesGaze: A Bayesian Approach to Eye-Gaze Based Target Selection. Proceedings of Graphics. Interface 2021: Virtual Event, 28 - 29 May 2021, 231 - 240. DOI https://doi.org/10.20380/GI2021.35
  • S. Mathew, S. Nadeem, and A. Kaufman, “Visualizing Missing Surfaces In Colonoscopy Videos Using Shared Latent Space Representations,” 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021, pp. 329-333, doi: 10.1109/ISBI48211.2021.9433982.
  • K. Mueller and D. Bowman, “Introducing the IEEE Virtual Reality 2021 Special Issue,” in IEEE Transactions on Visualization and Computer Graphics, vol. 27, no. 5, pp. iv-iv, May 2021, doi: 10.1109/TVCG.2021.3067811.
  • Wenzhe Cui, Suwen Zhu, Zhi Li, Zheer Xu, Xing-Dong Yang, IV Ramakrishnan, and Xiaojun Bi. 2021. BackSwipe: Back-of-device Word-Gesture Interaction on Smartphones. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI '21). Association for Computing Machinery, New York, NY, USA, Article 196, 1–12. DOI: https://doi.org/10.1145/3411764.3445081
  • Bhavya Ghai, Md Naimul Hoque, and Klaus Mueller. 2021. WordBias: An Interactive Visual Tool for Discovering Intersectional Biases Encoded in Word Embeddings. Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, Article 429, 1–7. DOI: https://doi.org/10.1145/3411763.3451587
  • J. H. Park, S. Nadeem, S. Boorboor, J. Marino and A. Kaufman, “CMed: Crowd Analytics for Medical Imaging Data,” in IEEE Transactions on Visualization and Computer Graphics, vol. 27, no. 6, pp. 2869-2880, 1 June 2021, doi: 10.1109/TVCG.2019.2953026.
  • Son, Y., Clouston, S., Kotov, R., Eichstaedt, J., Bromet, E., Luft, B., & Schwartz, H. (2021). World Trade Center responders in their own words: Predicting PTSD symptom trajectories with AI-based language analyses of interviews. Psychological Medicine, 1-9. doi:10.1017/S0033291721002294
  • Sudhir Suman, Gagandeep Singh, Nicole Sakla, Rishabh Gattu, Jeremy Green, Tej Phatak, Dimitris Samaras, Prateek Prasanna. Attention-based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms. International Conference on Medical Image Computing and Computer-Assisted Intervention. 2021. DOI: https://doi.org/10.1007/978-3-030-87234-2_34
  • Wei Su, Yifei Liu, Gomathi Ganesan, Gerard Holzmann, Scott Smolka, Erez Zadok, and Geoff Kuenning. 2021. Model-Checking Support for File System Development. In Proceedings of the 13th ACM Workshop on Hot Topics in Storage and File Systems (HotStorage '21). Association for Computing Machinery, New York, NY, USA, 103–110. DOI: https://doi.org/10.1145/3465332.3470878
  • Ibrahim Umit Akgun, Ali Selman Aydin, Aadil Shaikh, Lukas Velikov, and Erez Zadok. 2021. A Machine Learning Framework to Improve Storage System Performance. In Proceedings of the 13th ACM Workshop on Hot Topics in Storage and File Systems (HotStorage '21). Association for Computing Machinery, New York, NY, USA, 94–102. DOI: https://doi.org/10.1145/3465332.3470875
  • Eichstaedt, J. C., Kern, M. L., Yaden, D. B., Schwartz, H. A., Giorgi, S., Park, G., Hagan, C. A., Tobolsky, V. A., Smith, L. K., Buffone, A., Iwry, J., Seligman, M. E. P., & Ungar, L. H. (2021). Closed- and open-vocabulary approaches to text analysis: A review, quantitative comparison, and recommendations. Psychological Methods, 26(4), 398–427. https://doi.org/10.1037/met0000349
  • Tianchu Ji, Shraddhan Jain, Michael Ferdman, Peter Milder, H. Andrew Schwartz, and Niranjan Balasubramanian. 2021. On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 4147–4157, Online. Association for Computational Linguistics. DOI: 10.18653/v1/2021.findings-acl.363
  • Xingzhi Guo, Baojian Zhou, Steven Skiena. Subset Node Representation Learning over Large Dynamic Graphs. 2021. Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining.
  • Do, N., Truong, D., Nguyen, D., Hoai, M., Pham, C. Self-controlling photonic-on-chip networks with deep reinforcement learning. Sci Rep 11, 23151 (2021). https://doi.org/10.1038/s41598-021-02583-7
  • A. Chatziagapi, S. Athar, F. Moreno-Noguer and D. Samaras, “SIDER: Single-Image Neural Optimization for Facial Geometric Detail Recovery,” 2021 International Conference on 3D Vision (3DV), 2021, pp. 815-824, doi: 10.1109/3DV53792.2021.00090.
  • S. F. Sultan, L. Mujica-Parodi and S. Skiena, “NeuroPredictome: A Data-Driven Predictome Linking Neuroimaging to Phenotype,” 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021, pp. 528-535, doi: 10.1109/BIBM52615.2021.9669303.
  • Chen, Y., Yang, Z., Ahn, S., Samaras, D., Hoai, M., Zelinsky, G. COCO-Search18 fixation dataset for predicting goal-directed attention control. Sci Rep 11, 8776 (2021). https://doi.org/10.1038/s41598-021-87715-9

2020

  • Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Uygar Tuna, Jarno Nikkanen, and Moncef Gabbouj, “Probabilistic Color Constancy,” IEEE International Conference on Image Processing, ICIP 2020, 25-28 October 2020, Abu Dhabi, UAE.
  • 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.
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