CSE 7100 Research Seminar on Machine Learning

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This seminar examines machine learning by studying seminal papers and recent research results. Each semester, the seminar emphasizes different themes reflecting the current research interests of the participants. The theme of this semester's seminar is Machine Learning for Health. We will read and discuss papers from recent major conferences and journals on machine learning, data mining, and AI related to healthcare. These conferences and journals include:


---Jan 23 ---

Presenter: Dingwen Li

Paper: DeepAlerts: Deep Learning Based Multi-horizon Alerts for Clinical Deterioration on Oncology Hospital Wards, AAAI-2020, D. Li, P. Lyons, C. Lu, M. Kollef. ([9])

---Jan 30 ---

Presenter: Ruixuan Dai

---Feb 06 ---

Presenter: Ali Ghubaish

---Feb 13 ---

Presenter: Hanyang Liu


---Feb 20 ---

Presenter: Jingwen Zhang


---Feb 27 ---

Presenter: Kathryn Sarullo

---Mar 05 ---

Presenter: Joss Wang


---Mar 12 ---

Spring break - no seminar

---Mar 19 ---

Presenter: Bing Xue


---Mar 26 ---

Presenter: Hao Liu


---Apr 02 ---

Presenter: Zhuangzhuang Zhang

Paper: Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation, NIPS 2018, Y. Li, et al. ([10])


---Apr 09 ---

Presenter: Liang Tong Paper: Ziqi Zhang, Chao Yan, Diego A Mesa, Jimeng Sun, Bradley A Malin, Ensuring electronic medical record simulation through better training, modeling, and evaluation, Journal of the American Medical Informatics Association, Volume 27, Issue 1, January 2020, Pages 99–108, https://doi.org/10.1093/jamia/ocz161

---Apr 16 ---

Presenter: Sayantan Kumar

Paper: Deep Learning Global Glomerulosclerosis in Transplant Kidney Frozen Sections, IEEE Transactions on Medical Imaging, 2018, J. Marsh, et al. ([11])

---Apr 23 ---

Presenter: Raj Venkatesaramani





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