Karlson Pfannschmidt

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 10

Top Topics

Medical Diagnosis

Ranking Functions

Reinforcement Learning

Probability Estimates

Top Venues

Int. J. Approx. Reason.

Publications

Michael Dellnitz, Eyke Hüllermeier, Marvin Lücke, Sina Ober-Blöbaum, Christian Offen, Sebastian Peitz, Karlson Pfannschmidt
Efficient Time-Stepping for Numerical Integration Using Reinforcement Learning. SIAM J. Sci. Comput. 45 (2) (2023)
Arthur Klippenstein, Christoph Weskamp, Florian Laux, Florian Neuhaus, Karlson Pfannschmidt, Melissa Bülling, Stephan Kassanke
A Prototype to Support Business Model Innovation through Crowdsourcing and Artificial Intelligence. Wirtschaftsinformatik (2023)
Karlson Pfannschmidt, Pritha Gupta, Björn Haddenhorst, Eyke Hüllermeier
Learning context-dependent choice functions. Int. J. Approx. Reason. 140 (2022)
Michael Dellnitz, Eyke Hüllermeier, Marvin Lücke, Sina Ober-Blöbaum, Christian Offen, Sebastian Peitz, Karlson Pfannschmidt
Efficient time stepping for numerical integration using reinforcement learning. CoRR (2021)
Karlson Pfannschmidt, Eyke Hüllermeier
Learning Choice Functions via Pareto-Embeddings. CoRR (2020)
Karlson Pfannschmidt, Eyke Hüllermeier
Learning Choice Functions via Pareto-Embeddings. KI (2020)
Karlson Pfannschmidt, Pritha Gupta, Eyke Hüllermeier
Learning Choice Functions. CoRR (2019)
Karlson Pfannschmidt, Pritha Gupta, Eyke Hüllermeier
Deep architectures for learning context-dependent ranking functions. CoRR (2018)
Kalina Jasinska, Krzysztof Dembczynski, Róbert Busa-Fekete, Karlson Pfannschmidt, Timo Klerx, Eyke Hüllermeier
Extreme F-measure Maximization using Sparse Probability Estimates. ICML (2016)
Karlson Pfannschmidt, Eyke Hüllermeier, Susanne Held, Reto Neiger
Evaluating Tests in Medical Diagnosis: Combining Machine Learning with Game-Theoretical Concepts. IPMU (1) (2016)