Difference between revisions of "CSE 7300 Research Seminar"

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==Previous Semesters==
 
==Previous Semesters==
 +
* [[Seminar Fall 2020|Fall 2020]]
 
* [[Seminar Spring 2020|Spring 2020]]
 
* [[Seminar Spring 2020|Spring 2020]]
 
* [[Seminar Fall 2019|Fall 2019]]
 
* [[Seminar Fall 2019|Fall 2019]]

Revision as of 21:39, 22 December 2020

  • Instructor: Prof. Chenyang Lu
  • Semester: Fall 2020
  • Time: Thursday at 4pm-4:50pm
  • Location: Virtual


---ML for Health ---

  • NeurIPS ([1])
  • ICML ([2])
  • AAAI ([3])
  • SIGKDD ([4])
  • IJCAI ([5])
  • IMWUT ([6])
  • Digital Medicine ([7])
  • HEALTH ([8])
  • Lancet Digital Health ([9])

---Cyber Physical Systems ---

---Oct 1 ---

Jingwen

Paper: Goldstein, Orpaz, et al. "Target-Focused Feature Selection Using Uncertainty Measurements in Healthcare Data." ACM Transactions on Computing for Healthcare 1.3 (2020): 1-17. [21]

---Oct 8 ---

Ruixuan

Wiens, Jenna, John Guttag, and Eric Horvitz. "A study in transfer learning: leveraging data from multiple hospitals to enhance hospital-specific predictions." Journal of the American Medical Informatics Association 21.4 (2014): 699-706. [22]

---Oct 15 ---

Hanyang

Bianchi, Filippo Maria, et al. "Learning representations of multivariate time series with missing data." Pattern Recognition 96 (2019): 106973.https://arxiv.org/abs/1805.03473

AAAI’20, A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs. https://arxiv.org/abs/2002.12359

---Oct 22 ---

Cancel (SIGMETRICS/IoTDI/RTAS)

---Oct 29 ---

Cancel

---Nov 5---

Liang

Paper: Mangaokar, Neal, Jiameng Pu, Parantapa Bhattacharya, Chandan K. Reddy, and Bimal Viswanath. "Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models." [23]

---Nov 12---

Bing

Grabocka, Josif, et al. "Learning time-series shapelets." Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining. 2014.

Ye, Lexiang, and Eamonn Keogh. "Time series shapelets: a new primitive for data mining." Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining. 2009.

---Nov 19---

Saumik

Paper: Jiao, York, et al. "Probabilistic forecasting of surgical case duration using machine learning: model development and validation." Journal of the American Medical Informatics Association (2020).

---Nov 26---

Thanksgiving

---Dec 3---

Jingwen

Literature review about contact tracing

---Dec 10---

Hanyang

Cao, Bokai, et al. "Deepmood: modeling mobile phone typing dynamics for mood detection." KDD. 2017. https://dl.acm.org/doi/pdf/10.1145/3097983.3098086

---Dec 17---

Liang

Choi, Edward, et al. "Doctor ai: Predicting clinical events via recurrent neural networks." Machine Learning for Healthcare Conference. 2016. [24]

Previous Semesters

Previous Lab Meetings