Posted at 12 Aug, 15:12h in Papers, Papers 2016, Thesis by Kalyan Veeramachaneni 0 Comments 0 Likes Label, Segment, Featurize: a cross domain framework for prediction engineering
Posted at 12 Jun, 20:32h in Papers, Papers 2016 by Kalyan Veeramachaneni 0 Comments 0 Likes What would a data scientist ask? Automatically formulating and solving prediction problems
Posted at 12 Apr, 20:35h in Papers, Papers 2016 by Kalyan Veeramachaneni 0 Comments 3 Likes The synthetic data vault
Posted at 12 Feb, 20:35h in Papers, Papers 2016 by Kalyan Veeramachaneni 0 Comments 0 Likes Acting the Same Differently: A Cross-Course Comparison of User Behavior in MOOCs
Posted at 12 Oct, 14:48h in Papers, Papers 2016 by Kalyan Veeramachaneni 0 Comments 0 Likes AI2: Training a big data machine to defend
Posted at 12 Dec, 20:43h in Papers 2015 by Kalyan Veeramachaneni 0 Comments 1 Like Data Science Foundry for MOOCs
Posted at 12 Nov, 20:44h in Papers 2015 by Kalyan Veeramachaneni 0 Comments 0 Likes Deep Feature Synthesis: Torwards Automating Data Science Endeavors
Posted at 12 Oct, 20:45h in Papers 2015 by Kalyan Veeramachaneni 0 Comments 0 Likes Building Predictive Models via Feature Synthesis
Posted at 12 Sep, 20:45h in Papers 2015 by Kalyan Veeramachaneni 0 Comments 0 Likes Copula Graphical Models for Wind Resource Estimation.
Posted at 12 Aug, 20:46h in Papers 2015 by Kalyan Veeramachaneni 0 Comments 0 Likes Gaussian Process-based Feature Selection for Wavelet Parameters: Predicting Acute Hypotensive Episodes from Physiological Signals.
