Difference between revisions of "CSE730x Research Seminar"
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* '''Instructor:''' [http://www.cse.wustl.edu/~lu Prof. Chenyang Lu] | * '''Instructor:''' [http://www.cse.wustl.edu/~lu Prof. Chenyang Lu] | ||
| − | * '''Time: Thursday at | + | * '''Time: Thursday at 4pm-4:50pm, Location: Jolley 431''' |
| − | * '''Google group:''' [ | + | * '''Google group:''' [https://groups.google.com/forum/#!forum/wustlmlseminar group for machine learning seminar] |
| − | + | 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: | |
| − | This seminar examines | ||
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| − | The theme of this semester's seminar is | ||
* SenSys ([http://sensys.acm.org]) | * SenSys ([http://sensys.acm.org]) | ||
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* RTAS ([http://www.rtas.org/]) | * RTAS ([http://www.rtas.org/]) | ||
* ICCPS ([http://www.iccps.org]) | * ICCPS ([http://www.iccps.org]) | ||
| − | * Wireless Health ([http:// | + | * Wireless Health ([http://mobihealth.name/]) |
| − | * MobiCom ([ | + | * MobiCom ([https://sigmobile.org/mobicom/2019/]) |
| − | * MobiSys ([http://www.sigmobile.org/mobisys/ | + | * MobiSys ([http://www.sigmobile.org/mobisys/2019/]) |
| − | * Sigcomm ([http://conferences.sigcomm.org/sigcomm/ | + | * Sigcomm ([http://conferences.sigcomm.org/sigcomm/2019/]) |
| − | * NSDI ([https://www.usenix.org/conference/ | + | * NSDI ([https://www.usenix.org/conference/nsdi19]) |
| − | * SOSP ([ | + | * SOSP ([https://www.sigops.org/]) |
| − | * OSDI ([https://www.usenix.org/conference/ | + | * OSDI ([https://www.usenix.org/conference/osdi18/]) |
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| − | + | ==Previous Semesters== | |
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| − | + | * [[Seminar Fall 2019|Fall 2019]] | |
| − | + | * [[Seminar Summer 2019|Summer 2019]] | |
| − | + | * [[Seminar Spring 2019|Spring 2019]] | |
| − | + | * [[Seminar Fall 2018|Fall 2018]] | |
| − | + | * [[Seminar Summer 2018|Summer 2018]] | |
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* [[Seminar Spring 2018|Spring 2018]] | * [[Seminar Spring 2018|Spring 2018]] | ||
* [[Seminar Fall 2017|Fall 2017]] | * [[Seminar Fall 2017|Fall 2017]] | ||
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==Previous Lab Meetings== | ==Previous Lab Meetings== | ||
| + | * [[Labmeeting Spring 2020|Spring 2020]] | ||
* [[Labmeeting Fall 2014|Fall 2014]] | * [[Labmeeting Fall 2014|Fall 2014]] | ||
* [[Labmeeting Summer 2014|Summer 2014]] | * [[Labmeeting Summer 2014|Summer 2014]] | ||
* [[Labmeeting Spring 2014|Spring 2014]] | * [[Labmeeting Spring 2014|Spring 2014]] | ||
Latest revision as of 21:49, 9 January 2020
- Instructor: Prof. Chenyang Lu
- Time: Thursday at 4pm-4:50pm, Location: Jolley 431
- Google group: group for machine learning seminar
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:
- SenSys ([1])
- IPSN ([2])
- RTSS ([3])
- RTAS ([4])
- ICCPS ([5])
- Wireless Health ([6])
- MobiCom ([7])
- MobiSys ([8])
- Sigcomm ([9])
- NSDI ([10])
- SOSP ([11])
- OSDI ([12])
Previous Semesters
- Fall 2019
- Summer 2019
- Spring 2019
- Fall 2018
- Summer 2018
- Spring 2018
- Fall 2017
- Summer 2017
- Spring 2017
- Fall 2016
- Summer 2016
- Spring 2016
- Fall 2015
- Summer 2015
- Spring 2015
- Fall 2014
- Summer 2014
- Spring 2014
- Fall 2013
- Summer 2013
- Spring 2013
- Fall 2012
- Summer 2012
- Spring 2012
- Fall 2011
- Summer 2011
- Spring 2011
- Fall 2010
- Spring 2010
- Fall 2009
- Summer 2009
- Spring 2009
- Fall 2008
- Summer 2008
- Spring 2008
- Fall 2007
- Summer 2007
- Spring 2007
- Fall 2006
- Spring 2006
- Fall 2005
- Spring 2005
- Fall 2004
- Spring 2004
- Fall 2003
- Spring 2003
- Fall 2002
- Spring 2002
- Fall 2001
- Spring 2001
- Fall 2000
- Spring 2000
- Fall 1998
- Spring 1998
