Efficient Pairwise Classification. - Sang-Hyeun Park; Johannes Fürnkranz (ECML, 2007)

An Exploitative Monte-Carlo Poker Agent. - Immanuel Schweizer; Kamill Panitzek; Sang-Hyeun Park; Johannes Fürnkranz (KI, 2009)

Efficient Decoding of Ternary Error-Correcting Output Codes for Multiclass Classification. - Sang-Hyeun Park; Johannes Fürnkranz (ECML/PKDD (2), 2009)

Exploiting Code Redundancies in ECOC. - Sang-Hyeun Park; Lorenz Weizsäcker; Johannes Fürnkranz (Discovery Science, 2010)

Efficient voting prediction for pairwise multilabel classification. - Eneldo Loza Mencía; Sang-Hyeun Park; Johannes Fürnkranz (Neurocomputing, 2010)

Preference-Based Policy Iteration: Leveraging Preference Learning for Reinforcement Learning. - Weiwei Cheng; Johannes Fürnkranz; Eyke Hüllermeier; Sang-Hyeun Park (ECML/PKDD (1), 2011)

Error-Correcting Output Codes as a Transformation from Multi-Class to Multi-Label Prediction. - Johannes Fürnkranz; Sang-Hyeun Park (Discovery Science, 2012)

Efficient prediction algorithms for binary decomposition techniques. - Sang-Hyeun Park; Johannes Fürnkranz (Data Min. Knowl. Discov., 2012)

Preference-based reinforcement learning: a formal framework and a policy iteration algorithm. - Johannes Fürnkranz; Eyke Hüllermeier; Weiwei Cheng; Sang-Hyeun Park (Mach. Learn., 2012)

Efficient decomposition-based multiclass and multilabel classification. - Sang-Hyeun Park (2012)

Efficient implementation of class-based decomposition schemes for Naïve Bayes. - Sang-Hyeun Park; Johannes Fürnkranz (Mach. Learn., 2014)

Insourcing the Passenger Demand Forecasting System for Revenue Management at DB Fernverkehr: Lessons Learned from the First Year. - Valentin Wagner; Stephan Dlugosz; Sang-Hyeun Park; Philipp Bartke (OR, 2019)