Posted at 10 Nov, 17:39h in Thesis 2017 by Kalyan Veeramachaneni 0 Comments 0 Likes SenseML: A Platform for Constructing IOT Data Pipelines
Posted at 10 Nov, 17:39h in Thesis 2017 by Kalyan Veeramachaneni 0 Comments 0 Likes COAL: A Continuous Active Learning System
Posted at 10 Nov, 17:38h in Thesis 2017 by Kalyan Veeramachaneni 0 Comments 0 Likes Build your own deep learner
Posted at 10 Nov, 17:38h in Thesis 2017 by Kalyan Veeramachaneni 0 Comments 0 Likes Towards Automatically Linking Data Elements
Posted at 10 Nov, 17:39h in Thesis 2017 by Kalyan Veeramachaneni 0 Comments 0 Likes Teach2Learn: Gamifying Education to Gather Training Data for Natural Language Processing
Posted at 10 Nov, 17:34h in Reports 2017 by Kalyan Veeramachaneni 0 Comments 0 Likes Solving the “false positives” problem in fraud prediction
Posted at 10 Nov, 17:33h in Papers 2017 by Kalyan Veeramachaneni 0 Comments 0 Likes Sample, Estimate, Tune: Scaling Bayesian Auto-Tuning of Data Science Pipelines
Posted at 10 Nov, 17:33h in Papers 2017 by Kalyan Veeramachaneni 0 Comments 0 Likes AnonML: Locally Private Machine Learning over a Network of Data Holders
Posted at 10 Nov, 17:27h in Papers 2017 by Kalyan Veeramachaneni 0 Comments 1 Like FeatureHub: Towards Collaborative Data Science
Posted at 09 Feb, 18:30h in Papers 2017 by Kalyan Veeramachaneni 0 Comments 0 Likes Learning Representations for Log Data in Cybersecurity