CLICKS: Mining Subspace Clusters in Categorical Data via K-partite Maximal Cliques. - Mohammed Javeed Zaki; Markus Peters (ICDE, 2005)

Clicks: An effective algorithm for mining subspace clusters in categorical datasets. - Mohammed J. Zaki; Markus Peters; Ira Assent; Thomas Seidl 001 (Data Knowl. Eng., 2007)

Autonomous Data-Driven Decision-Making in Smart Electricity Markets. - Markus Peters; Wolfgang Ketter; Maytal Saar-Tsechansky; John Collins (ECML/PKDD (2), 2012)

Autonomous Agents in Future Energy Markets: The 2012 Power Trading Agent Competition. - Wolfgang Ketter; Markus Peters; John Collins (AAAI, 2013)

A reinforcement learning approach to autonomous decision-making in smart electricity markets. - Markus Peters; Wolfgang Ketter; Maytal Saar-Tsechansky; John Collins (Mach. Learn., 2013)

A probabilistic model for learning multi-user preferences with applications to electricitytariff choice. - Markus Peters; Wolfgang Ketter (MKWI, 2014)

A Multiagent Competitive Gaming Platform to Address Societal Challenges. - Wolfgang Ketter; Markus Peters; John Collins; Alok Gupta (MIS Q., 2016)

Competitive Benchmarking: An IS Research Approach to Address Wicked Problems with Big Data and Analytics. - Wolfgang Ketter; Markus Peters; John Collins; Alok Gupta (MIS Q., 2016)

Biomechanical Digital Human Models: Chances and Challenges to Expand Ergonomic Evaluation. - Markus Peters; Eric Quadrat; Alexander Nolte; Alexander Wolf; Jörg Miehling; Sandro Wartzack; Wolfgang Leidholdt; Sebastian Bauer; Lars Fritzsche; Sascha Wischniewski (IHSED, 2018)

A scalable preference model for autonomous decision-making. - Markus Peters; Maytal Saar-Tsechansky; Wolfgang Ketter; Sinead A. Williamson; Perry Groot; Tom Heskes (Mach. Learn., 2018)

Workwear with Loosely Coupled IMU Sensors for Posture Classification During Assembly Tasks: A Pilot Study. - Markus Peters; Sascha Wischniewski (DHM, 2023)