Markus Peters

12 papers A* 3Journal 5Unranked 4
YearRankTypeTitle / Venue / Authors
2023 — conf
Workwear with Loosely Coupled IMU Sensors for Posture Classification During Assembly Tasks: A Pilot Study.
DHM
Markus Peters, Sascha Wischniewski
2018 J jnl
A scalable preference model for autonomous decision-making.
Mach. Learn.
Markus Peters, Maytal Saar-Tsechansky, Wolfgang Ketter, Sinead A. Williamson, Perry Groot, Tom Heskes
2018 — conf
Biomechanical Digital Human Models: Chances and Challenges to Expand Ergonomic Evaluation.
IHSED
Markus Peters, Eric Quadrat, Alexander Nolte, Alexander Wolf, Jörg Miehling, Sandro Wartzack, Wolfgang Leidholdt, Sebastian Bauer, Lars Fritzsche, Sascha Wischniewski
2016 J jnl
A Multiagent Competitive Gaming Platform to Address Societal Challenges.
MIS Q.
Wolfgang Ketter, Markus Peters, John Collins, Alok Gupta
2016 J jnl
Competitive Benchmarking: An IS Research Approach to Address Wicked Problems with Big Data and Analytics.
MIS Q.
Wolfgang Ketter, Markus Peters, John Collins, Alok Gupta
2014 — conf
A probabilistic model for learning multi-user preferences with applications to electricitytariff choice.
MKWI
Markus Peters, Wolfgang Ketter
2013 J jnl
A reinforcement learning approach to autonomous decision-making in smart electricity markets.
Mach. Learn.
Markus Peters, Wolfgang Ketter, Maytal Saar-Tsechansky, John Collins
2013 A* conf
Autonomous Agents in Future Energy Markets: The 2012 Power Trading Agent Competition.
AAAI
Wolfgang Ketter, Markus Peters, John Collins
2012 — conf
Autonomous Data-Driven Decision-Making in Smart Electricity Markets.
ECML/PKDD (2)
Markus Peters, Wolfgang Ketter, Maytal Saar-Tsechansky, John Collins
2007 J jnl
Clicks: An effective algorithm for mining subspace clusters in categorical datasets.
Data Knowl. Eng.
Mohammed J. Zaki, Markus Peters, Ira Assent, Thomas Seidl
2005 A* conf
CLICKS: Mining Subspace Clusters in Categorical Data via K-partite Maximal Cliques.
ICDE
Mohammed Javeed Zaki, Markus Peters
2005 A* conf
CLICKS: an effective algorithm for mining subspace clusters in categorical datasets.
KDD
Mohammed Javeed Zaki, Markus Peters, Ira Assent, Thomas Seidl