Deep feature synthesis: Towards automating data science endeavors. - James Max Kanter; Kalyan Veeramachaneni (DSAA, 2015)

Label, Segment, Featurize: A Cross Domain Framework for Prediction Engineering. - James Max Kanter; Owen Gillespie; Kalyan Veeramachaneni (DSAA, 2016)

Solving the "false positives" problem in fraud prediction. - Roy Wedge; James Max Kanter; Santiago Moral-Rubio; Sergio Iglesias Perez; Kalyan Veeramachaneni (CoRR, 2017)

Solving the False Positives Problem in Fraud Prediction Using Automated Feature Engineering. - Roy Wedge; James Max Kanter; Kalyan Veeramachaneni; Santiago Moral-Rubio; Sergio Iglesias Perez (ECML/PKDD (3), 2018)

Machine learning 2.0 : Engineering Data Driven AI Products. - James Max Kanter; Benjamin Schreck; Kalyan Veeramachaneni (CoRR, 2018)

Prediction Factory: automated development and collaborative evaluation of predictive models. - Gaurav Sheni; Benjamin Schreck; Roy Wedge; James Max Kanter; Kalyan Veeramachaneni (CoRR, 2018)

The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development. - Micah J. Smith; Carles Sala; James Max Kanter; Kalyan Veeramachaneni (SIGMOD Conference, 2020)