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James Max Kanter
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Conference and Workshop Papers
- 2020
- [c4]Micah J. Smith, Carles Sala, James Max Kanter, Kalyan Veeramachaneni:
The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development. SIGMOD Conference 2020: 785-800 - 2018
- [c3]Roy Wedge, James Max Kanter, Kalyan Veeramachaneni, Santiago Moral-Rubio, Sergio Iglesias Perez:
Solving the False Positives Problem in Fraud Prediction Using Automated Feature Engineering. ECML/PKDD (3) 2018: 372-388 - 2016
- [c2]James Max Kanter, Owen Gillespie, Kalyan Veeramachaneni:
Label, Segment, Featurize: A Cross Domain Framework for Prediction Engineering. DSAA 2016: 430-439 - 2015
- [c1]James Max Kanter, Kalyan Veeramachaneni:
Deep feature synthesis: Towards automating data science endeavors. DSAA 2015: 1-10
Informal and Other Publications
- 2019
- [i4]Micah J. Smith, Carles Sala, James Max Kanter, Kalyan Veeramachaneni:
The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development. CoRR abs/1905.08942 (2019) - 2018
- [i3]James Max Kanter, Benjamin Schreck, Kalyan Veeramachaneni:
Machine learning 2.0 : Engineering Data Driven AI Products. CoRR abs/1807.00401 (2018) - [i2]Gaurav Sheni, Benjamin Schreck, Roy Wedge, James Max Kanter, Kalyan Veeramachaneni:
Prediction Factory: automated development and collaborative evaluation of predictive models. CoRR abs/1811.11960 (2018) - 2017
- [i1]Roy Wedge, James Max Kanter, Santiago Moral-Rubio, Sergio Iglesias Perez, Kalyan Veeramachaneni:
Solving the "false positives" problem in fraud prediction. CoRR abs/1710.07709 (2017)
Coauthor Index
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