Research
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Comparison of Transfer Learning Techniques for Building Energy Forecasting
Das Sharma, Shansita, Coursey, Austin, Quinones-Grueiro, Marcos, & Biswas, Gautam. (2024 ÎåÒ»²è¹Ý¶ù). 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 ÎåÒ»²è¹Ý¶ù), Ferrara, Italy, June 4-7, 2024 ÎåÒ»²è¹Ý¶ù, Volume 58, Issue 4, Pages 180-185. Read MoreSep. 22, 2024 ÎåÒ»²è¹Ý¶ù
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Genetic Improvement for DNN Security
Baxter, Hunter, Huang, Yu, & Leach, Kevin. (2024 ÎåÒ»²è¹Ý¶ù). Genetic improvement for DNN security. In Proceedings of the 13th International Genetic Improvement Workshop (GI@ICSE 2024 ÎåÒ»²è¹Ý¶ù), Lisbon, Portugal, April 16, 2024 ÎåÒ»²è¹Ý¶ù, 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 MoreSep. 22, 2024 ÎåÒ»²è¹Ý¶ù
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Stereographic Spherical Sliced Wasserstein Distances
Tran, Huy, Bai, Yikun, Kothapalli, Abihith, Shahbazi, Ashkan, Liu, Xinran, Martin, Rocio Diaz, & Kolouri, Soheil. (2024 ÎåÒ»²è¹Ý¶ù). Stereographic spherical sliced Wasserstein distances. In Proceedings of the 41st International Conference on Machine Learning (ICML 2024 ÎåÒ»²è¹Ý¶ù), Vienna, Austria, July 21-27, 2024 ÎåÒ»²è¹Ý¶ù, Volume 235, Pages 48494-48564. This study presents a new method… Read MoreSep. 22, 2024 ÎåÒ»²è¹Ý¶ù
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An Experimental Framework for Evaluating the Safety and Robustness of UAV Controllers
Coursey, Austin, Quinones-Grueiro, Marcos, & Biswas, Gautam. (2024 ÎåÒ»²è¹Ý¶ù). An experimental framework for evaluating the safety and robustness of UAV controllers. In Proceedings of the 2024 ÎåÒ»²è¹Ý¶ù AIAA Aviation Forum and ASCEND, Las Vegas, NV, July 29 – August 2, 2024 ÎåÒ»²è¹Ý¶ù. https://doi.org/10.2514/6.2024 ÎåÒ»²è¹Ý¶ù-4548 This study focuses on improving the safety, robustness, and… Read MoreSep. 22, 2024 ÎåÒ»²è¹Ý¶ù
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Mitigating Over-Saturated Fluorescence Images Through a Semi-Supervised Generative Adversarial Network
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 ÎåÒ»²è¹Ý¶ù). 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 MoreSep. 22, 2024 ÎåÒ»²è¹Ý¶ù
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Towards an Accurate and Generalizable Multiple Sclerosis Lesion Segmentation Model Using Self-Ensembled Lesion Fusion
Zhang, Jinwei, Zuo, Lianrui, Dewey, Blake E., Remedios, Samuel W., Pham, Dzung L., Carass, Aaron, & Prince, Jerry L. (2024 ÎåÒ»²è¹Ý¶ù). 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 ÎåÒ»²è¹Ý¶ù), Athens, Greece, May… Read MoreSep. 22, 2024 ÎåÒ»²è¹Ý¶ù
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Functional correlation tensors in brain white matter and the effects of normal aging
Xu, Lyuan, Gao, Yurui, Li, Muwei, Lawless, Richard, Zhao, Yu, Schilling, Kurt G., Rogers, Baxter P., Anderson, Adam W., Ding, Zhaohua, Landman, Bennett A., & Gore, John C. (2024 ÎåÒ»²è¹Ý¶ù). Functional correlation tensors in brain white matter and the effects of normal aging. Brain Imaging and Behavior. https://doi.org/10.1007/s11682-024-00914-6… Read MoreSep. 22, 2024 ÎåÒ»²è¹Ý¶ù
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Reproducible and highly miniaturized bazooka RF Balun using a printed capacitor
Lu, Ming, Yang, Yijin, Chai, Shuyang, & Yan, Xinqiang. (2024 ÎåÒ»²è¹Ý¶ù). Reproducible and highly miniaturized bazooka RF Balun using a printed capacitor. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.30268 This study focuses on advancing MRI technology by improving a critical component known as the balun, which plays a key role… Read MoreSep. 22, 2024 ÎåÒ»²è¹Ý¶ù
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Neuromelanin-sensitive MRI for mechanistic research and biomarker development in psychiatry
Wengler, Kenneth, Trujillo, Paula, Cassidy, Clifford M., & Horga, Guillermo. (2024 ÎåÒ»²è¹Ý¶ù). Neuromelanin-sensitive MRI for mechanistic research and biomarker development in psychiatry. Neuropsychopharmacology. https://doi.org/10.1038/s41386-024-01934-y Neuromelanin-sensitive MRI is an advanced imaging technique that can detect neuromelanin, a byproduct of brain chemicals like dopamine and norepinephrine, which are important for regulating mood… Read MoreSep. 22, 2024 ÎåÒ»²è¹Ý¶ù
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Benchmarking clustering, alignment, and integration methods for spatial transcriptomics
Hu, Yunfei; Xie, Manfei; Li, Yikang; Rao, Mingxing; Shen, Wenjun; Luo, Can; Qin, Haoran; Baek, Jihoon; Zhou, Xin Maizie. “Benchmarking clustering, alignment, and integration methods for spatial transcriptomics.” Genome Biology, volume 25, Article number: 212 (2024 ÎåÒ»²è¹Ý¶ù). https://doi.org/10.1186/s13059-024-02665-w. Published: 09 August 2024 ÎåÒ»²è¹Ý¶ù. Understanding the complexities… Read MoreAug. 22, 2024 ÎåÒ»²è¹Ý¶ù