Difference between revisions of "CSE 7100 Research Seminar on Machine Learning"

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(Created page with "{| align="right" | __TOC__ |} * '''Instructor:''' [http://www.cse.wustl.edu/~lu Prof. Chenyang Lu] * '''Time: Thursday at 4pm-4:50pm, Location: Jolley 431''' * '''Google gr...")
 
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* '''Google group:''' [https://groups.google.com/forum/#!forum/wustlmlseminar group for machine learning seminar]
 
* '''Google group:''' [https://groups.google.com/forum/#!forum/wustlmlseminar group for machine learning seminar]
  
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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 on machine learning, data mining, and AI related to healthcare.  These conferences include:
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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:
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* NeurIPS ([http://nips.cc/])
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* AAAI ([http://www.aaai.org/])
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* SIGKDD ([http://www.kdd.org/])
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* IJCAI ([http://www.ijcai.org/])
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* HEALTH ([http://dl.acm.org/journal/health])
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* IMWUT ([http://dl.acm.org/journal/imwut])
  
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* SenSys ([http://sensys.acm.org])
 
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* IPSN ([http://ipsn.acm.org])
 
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* RTSS ([http://www.rtss.org/])
 
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* RTAS ([http://www.rtas.org/])
 
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* ICCPS ([http://www.iccps.org])
 
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* Wireless Health ([http://mobihealth.name/])
 
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* MobiCom ([https://sigmobile.org/mobicom/2019/])
 
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* MobiSys ([http://www.sigmobile.org/mobisys/2019/])
 
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* Sigcomm ([http://conferences.sigcomm.org/sigcomm/2019/])
 
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* NSDI ([https://www.usenix.org/conference/nsdi19])
 
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* SOSP ([https://www.sigops.org/])
 
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* OSDI ([https://www.usenix.org/conference/osdi18/])
 
  
  

Revision as of 20:47, 12 January 2020

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:





Previous Semesters

Previous Lab Meetings

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