Markus Peters

Publication Activity (10 Years)

Years Active: 2005-2018
Publications (10 Years): 4

Top Topics

Hierarchical Task Networks

Business Analytics

Human Decision Making

Top Venues

Publications

Markus Peters, Eric Quadrat, Alexander Nolte, Alexander Wolf, Jörg Miehling, Sandro Wartzack, Wolfgang Leidholdt, Sebastian Bauer, Lars Fritzsche, Sascha Wischniewski
Biomechanical Digital Human Models: Chances and Challenges to Expand Ergonomic Evaluation. IHSED (2018)
Markus Peters, Maytal Saar-Tsechansky, Wolfgang Ketter, Sinead A. Williamson, Perry Groot, Tom Heskes
A scalable preference model for autonomous decision-making. Mach. Learn. 107 (6) (2018)
Wolfgang Ketter, Markus Peters, John Collins, Alok Gupta
Competitive Benchmarking: An IS Research Approach to Address Wicked Problems with Big Data and Analytics. MIS Q. 40 (4) (2016)
Wolfgang Ketter, Markus Peters, John Collins, Alok Gupta
A Multiagent Competitive Gaming Platform to Address Societal Challenges. MIS Q. 40 (2) (2016)
Markus Peters, Wolfgang Ketter
A probabilistic model for learning multi-user preferences with applications to electricitytariff choice. MKWI (2014)
Wolfgang Ketter, Markus Peters, John Collins
Autonomous Agents in Future Energy Markets: The 2012 Power Trading Agent Competition. AAAI (2013)
Markus Peters, Wolfgang Ketter, Maytal Saar-Tsechansky, John Collins
A reinforcement learning approach to autonomous decision-making in smart electricity markets. Mach. Learn. 92 (1) (2013)
Markus Peters, Wolfgang Ketter, Maytal Saar-Tsechansky, John Collins
Autonomous Data-Driven Decision-Making in Smart Electricity Markets. ECML/PKDD (2) (2012)
Mohammed J. Zaki, Markus Peters, Ira Assent, Thomas Seidl
Clicks: An effective algorithm for mining subspace clusters in categorical datasets. Data Knowl. Eng. 60 (1) (2007)
Mohammed Javeed Zaki, Markus Peters
CLICKS: Mining Subspace Clusters in Categorical Data via K-partite Maximal Cliques. ICDE (2005)
Mohammed Javeed Zaki, Markus Peters, Ira Assent, Thomas Seidl
CLICKS: an effective algorithm for mining subspace clusters in categorical datasets. KDD (2005)