Landmaba

Gao, Chenyu, Yang, Qi, Kim, Michael E., Khairi, Nazirah Mohd, Cai, Leon Y., Newlin, Nancy R., Kanakaraj, Praitayini, Remedios, Lucas W., Krishnan, Aravind R., Yu, Xin, Yao, Tianyuan, & Zhang, Panpan. (2024). Characterizing patterns of diffusion tensor imaging variance in aging brains. Journal of Medical Imaging, 11(4), 044007. Read More

Gao, Chenyu, Bao, Shunxing, Kim, Michael E., Newlin, Nancy R., Kanakaraj, Praitayini, Yao, Tianyuan, Rudravaram, Gaurav, Huo, Yuankai, Moyer, Daniel, Schilling, Kurt, Kukull, Walter A., & Toga, Arthur W. (2024). Field-of-view extension for brain diffusion MRI via deep generative models. Journal of Medical Imaging, 11(4), 044008. https://doi.org/10.1117/1.JMI.11.4.044008… Read More

Huang, Yuxin, Coursey, Austin, Quinones-Grueiro, Marcos, & Biswas, Gautam. (2024). Time-series few shot anomaly detection for HVAC systems. In Proceedings of the 12th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS 2024), Ferrara, Italy, June 4-7, 2024, Volume 58, Issue 4, Pages 426-431. Read More

Diaz-Gonzalez, Abel, Coursey, Austin, Quinones-Grueiro, Marcos, & Biswas, Gautam. (2024). A flexible data-driven prognostics model using system performance metrics. In Proceedings of the 12th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS 2024), Ferrara, Italy, June 4-7, 2024, Volume 58, Issue 4, Pages 222-227. Read More

Das Sharma, Shansita, Coursey, Austin, Quinones-Grueiro, Marcos, & Biswas, Gautam. (2024). Comparison of transfer learning techniques for building energy forecasting. In Proceedings of the 12th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS 2024), Ferrara, Italy, June 4-7, 2024, Volume 58, Issue 4, Pages 180-185. Read More

Baxter, Hunter, Huang, Yu, & Leach, Kevin. (2024). Genetic improvement for DNN security. In Proceedings of the 13th International Genetic Improvement Workshop (GI@ICSE 2024), Lisbon, Portugal, April 16, 2024, Pages 11-12. https://doi.org/10.1145/3643692.3648261 This study explores a novel application of Genetic Improvement (GI) in enhancing the security of Deep Neural Networks… Read More

Tran, Huy, Bai, Yikun, Kothapalli, Abihith, Shahbazi, Ashkan, Liu, Xinran, Martin, Rocio Diaz, & Kolouri, Soheil. (2024). Stereographic spherical sliced Wasserstein distances. In Proceedings of the 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, July 21-27, 2024, Volume 235, Pages 48494-48564. This study presents a new method… Read More

Coursey, Austin, Quinones-Grueiro, Marcos, & Biswas, Gautam. (2024). An experimental framework for evaluating the safety and robustness of UAV controllers. In Proceedings of the 2024 AIAA Aviation Forum and ASCEND, Las Vegas, NV, July 29 – August 2, 2024. https://doi.org/10.2514/6.2024-4548 This study focuses on improving the safety, robustness, and… Read More

Bao, Shunxing, Guo, Junlin, Lee, Ho Hin, Deng, Ruining, Cui, Can, Remedios, Lucas W., Liu, Quan, Yang, Qi, Xu, Kaiwen, Yu, Xin, Li, Jia, & Li, Yike. (2024). Mitigating over-saturated fluorescence images through a semi-supervised generative adversarial network. In Proceedings of the 21st IEEE International Symposium on Biomedical Imaging (ISBI… Read More

Zhang, Jinwei, Zuo, Lianrui, Dewey, Blake E., Remedios, Samuel W., Pham, Dzung L., Carass, Aaron, & Prince, Jerry L. (2024). Towards an accurate and generalizable multiple sclerosis lesion segmentation model using self-ensembled lesion fusion. In Proceedings of the 21st IEEE International Symposium on Biomedical Imaging (ISBI 2024), Athens, Greece, May… Read More