Using Multitask Learning to Improve 12-Lead Electrocardiogram Classification

no code implementations • 3 Dec 2018 • J. Weston Hughes, Taylor Sittler, Anthony D. Joseph, Jeffrey E. Olgin, Joseph E. Gonzalez, Geoffrey H. Tison

We develop a multi-task convolutional neural network (CNN) to classify multiple diagnoses from 12-lead electrocardiograms (ECGs) using a dataset comprised of over 40, 000 ECGs, with labels derived from cardiologist clinical interpretations.

Classification General Classification

A Berkeley View of Systems Challenges for AI

no code implementations • 15 Dec 2017 • Ion Stoica, Dawn Song, Raluca Ada Popa, David Patterson, Michael W. Mahoney, Randy Katz, Anthony D. Joseph, Michael Jordan, Joseph M. Hellerstein, Joseph E. Gonzalez, Ken Goldberg, Ali Ghodsi, David Culler, Pieter Abbeel

With the increasing commoditization of computer vision, speech recognition and machine translation systems and the widespread deployment of learning-based back-end technologies such as digital advertising and intelligent infrastructures, AI (Artificial Intelligence) has moved from research labs to production.

Machine Translation speech-recognition +1

Evasion and Hardening of Tree Ensemble Classifiers

1 code implementation • 25 Sep 2015 • Alex Kantchelian, J. D. Tygar, Anthony D. Joseph

We present two novel algorithms for systematically computing evasions for tree ensembles such as boosted trees and random forests.

Large-Margin Convex Polytope Machine

no code implementations • NeurIPS 2014 • Alex Kantchelian, Michael C. Tschantz, Ling Huang, Peter L. Bartlett, Anthony D. Joseph, J. D. Tygar

We present the Convex Polytope Machine (CPM), a novel non-linear learning algorithm for large-scale binary classification tasks.

Binary Classification General Classification +1