Learning unsupervised representations of complex clinical data. Applied ML Reading Group. Projects & Activities. I am a PhD candidate in Electrical Engineering and Computer Science at MIT working in CSAILwith Dr. Peter Szolovits. As part of MEDG.
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Home – Tristan Naumann | tjn.mit.edu Reviews
https://tjn.mit.edu
Learning unsupervised representations of complex clinical data. Applied ML Reading Group. Projects & Activities. I am a PhD candidate in Electrical Engineering and Computer Science at MIT working in CSAILwith Dr. Peter Szolovits. As part of MEDG.
tjn.mit.edu
Applied ML Reading Group – Tristan Naumann
http://tjn.mit.edu/reading-group
Learning unsupervised representations of complex clinical data. Applied ML Reading Group. Projects & Activities. Applied ML Reading Group. We meet on Mondays from 1:30 – 3 pm in the MEDG space on the second floor of CSAIL. If you want to sign up to get reminders, ask here. ICDM 2014: Combining Fourier and lagged k-nearest neighbor imputation for biomedical time series data by SA Rahman, S Kleinburg.
Posts – Tristan Naumann
http://tjn.mit.edu/posts
Learning unsupervised representations of complex clinical data. Applied ML Reading Group. Projects & Activities. December 16, 2015.
Projects & Activities – Tristan Naumann
http://tjn.mit.edu/projects-activities
Learning unsupervised representations of complex clinical data. Applied ML Reading Group. Projects & Activities. Projects & Activities. I’m currently serving on the Committee on MIT Graduate Admissions in Area II (CS). I’m also part of the MIT Critical Data Conference and Hackathon Team (2013, 2014, and 2015) – a multidisciplinary conference/hackathon on big data in critical care medicine.
Tristan Naumann – Learning unsupervised representations of complex clinical data
http://tjn.mit.edu/%20
Learning unsupervised representations of complex clinical data. Applied ML Reading Group. Projects & Activities. I am a PhD candidate in Electrical Engineering and Computer Science at MIT working in CSAILwith Dr. Peter Szolovits. As part of MEDG.
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MEDG Fall 2016 Reading Group - Marzyeh Ghassemi
http://mghassem.mit.edu/medg-reading-group-fall-2016
Academic Homepage of Marzyeh Ghassemi @ MIT CSAIL. Research - Papers, Talks & Proceedings. Service & Professional Experience. MEDG Fall 2016 Reading Group. MEDG Fall 2016 Reading Group. We meet on Fridays from 2 - 3:30 pm in the MEDG space on the second floor of CSAIL. If you want to sign up to get reminders, ask here. Understanding vasopressor intervention and weaning: risk prediction in a public heterogeneous clinical time series database. September 30th, 2016 @ 2PM. October 7th, 2016 @ 2PM. My researc...
MEDG Reading Group - Marzyeh Ghassemi
http://mghassem.mit.edu/medg-reading-group
Academic Homepage of Marzyeh Ghassemi @ MIT CSAIL. Research - Papers, Talks & Proceedings. Service & Professional Experience. MEDG Fall 2016 Reading Group. MEDG Spring 2013 Reading Group. MEDG Spring 2014 Reading Group. MEDG Fall 2014 Reading Group. MEDG Summer 2015 Reading Group. MEDG Fall 2015 Reading Group. MEDG Spring 2016 Reading Group. Prior to MIT, I received B.S. degrees in computer science and electrical engineering at New Mexico State University as a Goldwater Scholar, worked at Intel C...
Posts - Marzyeh Ghassemi
http://mghassem.mit.edu/posts
Academic Homepage of Marzyeh Ghassemi @ MIT CSAIL. Research - Papers, Talks & Proceedings. Service & Professional Experience. MEDG Fall 2016 Reading Group. Teaching Evaluations Are In! December 31, 2015. I got the best holiday present ever from my students, thanks all! Her energy and constant joking when delivering recitations helped me pay attention and understand hard concepts when I otherwise wouldn't have been able to focus. Marzyeh…. Read more →. August 8, 2015. Read more →. July 21, 2015. I was ver...
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Welcome - TJN
Welcome to the TJN. By fostering a network and exchange of research, TJN will bring together interdisciplinary scholars, students and practitioners working on issues related to both formal and informal processes of social recovery and reconstruction, historical memory and transformation, and justice and the law. Through examining critical questions in Canadian and international transitional justice, TJN creates a unique space for research and advocacy that challenges and transcends disciplinary boundaries.
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TJN
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Home – Tristan Naumann
Learning unsupervised representations of complex clinical data. Applied ML Reading Group. Projects & Activities. I am a PhD candidate in Electrical Engineering and Computer Science at MIT working in CSAILwith Dr. Peter Szolovits. As part of MEDG.
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