• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 34 matches

• 2024
• 
  Christoph Beierle, Aron Spang, Jonas Haldimann:
  A Partial MaxSAT Approach to Nonmonotonic Reasoning with System W. FLAIRS 2024
• 
  Martin von Berg, Arthur Sanin, Christoph Beierle:
  Scaling up Nonmonotonic c-Inference via Partial MaxSAT Problems. FoIKS 2024: 182-200
• 2023
• 
  Petar Bevanda, Max Beier, Armin Lederer, Stefan Sosnowski, Eyke Hüllermeier, Sandra Hirche:
  Koopman Kernel Regression. NeurIPS 2023
• 
  Petar Bevanda, Max Beier, Armin Lederer, Stefan Sosnowski, Eyke Hüllermeier, Sandra Hirche:
  Koopman Kernel Regression. CoRR abs/2305.16215 (2023)
• 
  Jianning Li, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Yuan Jin, Narmada Ambigapathy, Enrico Nasca, Naida Solak, Gian Marco Melito, Afaque R. Memon, Xiaojun Chen, Jan Stefan Kirschke, Ezequiel de la Rosa, Patrick Ferdinand Christ, Hongwei Bran Li, David G. Ellis, Michele R. Aizenberg, Sergios Gatidis, Thomas Küstner, Nadya Shusharina, Nicholas Heller, Vincent Andrearczyk, Adrien Depeursinge, Mathieu Hatt, Anjany Sekuboyina, Maximilian Löffler, Hans Liebl, Reuben Dorent, Tom Vercauteren, Jonathan Shapey, Aaron Kujawa, Stefan Cornelissen, Patrick Langenhuizen, Achraf Ben-Hamadou, Ahmed Rekik, Sergi Pujades, Edmond Boyer, Federico Bolelli, Costantino Grana, Luca Lumetti, Hamidreza Salehi, Jun Ma, Yao Zhang, Ramtin Gharleghi, Susann Beier, Arcot Sowmya, Eduardo A. Garza-Villarreal, Thania Balducci, et al.:
  MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision. CoRR abs/2308.16139 (2023)
• 2022
• 
  Maximilian Beier:
  Möglichkeiten zur standortunabhängigen und reproduzierbaren Biosignalanalyse in der multizentrischen klinischen Forschung. Charité, Berlin, Germany, 2022
• 
  Petar Bevanda, Max Beier, Sebastian Kerz, Armin Lederer, Stefan Sosnowski, Sandra Hirche:
  Diffeomorphically Learning Stable Koopman Operators. IEEE Control. Syst. Lett. 6: 3427-3432 (2022)
• 
  Marco Wilhelm, Diana Howey, Gabriele Kern-Isberner, Kai Sauerwald, Christoph Beierle:
  Integrating Cognitive Principles From ACT-R Into Probabilistic Conditional Reasoning by Taking the Example of Maximum Entropy Reasoning. FLAIRS 2022
• 
  André Bauer, Martin Straesser, Lukas Beierlieb, Maximilian Meissner, Samuel Kounev:
  Automated Triage of Performance Change Points Using Time Series Analysis and Machine Learning: Data Challenge Paper. ICPE (Companion) 2022: 29-32
• 
  Petar Bevanda, Max Beier, Shahab Heshmati-Alamdari, Stefan Sosnowski, Sandra Hirche:
  Towards Data-driven LQR with KoopmanizingFlows. CoRR abs/2201.11640 (2022)
• 2021
• 
  Petar Bevanda, Max Beier, Sebastian Kerz, Armin Lederer, Stefan Sosnowski, Sandra Hirche:
  KoopmanizingFlows: Diffeomorphically Learning Stable Koopman Operators. CoRR abs/2112.04085 (2021)
• 2019
• 
  Maximilian Beier, Thomas Penzel, Dagmar Krefting:
  A Performant Web-Based Visualization, Assessment, and Collaboration Tool for Multidimensional Biosignals. Frontiers Neuroinformatics 13: 65 (2019)
• 
  Maximilian Kriebel, Matthias Hennemann, Frank R. Beierlein, Dana D. Medina, Thomas Bein, Timothy Clark:
  Propagation of Holes and Electrons in Metal-Organic Frameworks. J. Chem. Inf. Model. 59(12): 5057-5064 (2019)
• 
  Marco Wilhelm, Gabriele Kern-Isberner, Marc Finthammer, Christoph Beierle:
  Integrating Typed Model Counting into First-Order Maximum Entropy Computations and the Connection to Markov Logic Networks. FLAIRS 2019: 494-499
• 2018
• 
  Marco Wilhelm, Gabriele Kern-Isberner, Marc Finthammer, Christoph Beierle:
  A Generalized Iterative Scaling Algorithm for Maximum Entropy Model Computations Respecting Probabilistic Independencies. FoIKS 2018: 379-399
• 2017
• 
  Gabriele Kern-Isberner, Marco Wilhelm, Christoph Beierle:
  Probabilistic knowledge representation using the principle of maximum entropy and Gröbner basis theory. Ann. Math. Artif. Intell. 79(1-3): 163-179 (2017)
• 
  Maximilian Beier, Christoph Jansen, Geert Mayer, Thomas Penzel, Andrea Rodenbeck, René Siewert, Michael Witt, Jie Wu, Dagmar Krefting:
  Multicenter data sharing for collaboration in sleep medicine. Future Gener. Comput. Syst. 67: 466-480 (2017)
• 
  Marco Wilhelm, Marc Finthammer, Gabriele Kern-Isberner, Christoph Beierle:
  First-Order Typed Model Counting for Probabilistic Conditional Reasoning at Maximum Entropy. SUM 2017: 266-279
• 
  Christoph Jansen, Maximilian Beier, Michael Witt, Sonja Frey, Dagmar Krefting:
  Towards Reproducible Research in a Biomedical Collaboration Platform following the FAIR Guiding Principles. UCC (Companion") 2017: 3-8
• 2015
• 
  Christoph Beierle, Annika Krämer:
  Achieving parametric uniformity for knowledge bases in a relational probabilistic conditional logic with maximum entropy semantics. Ann. Math. Artif. Intell. 73(1-2): 5-45 (2015)
• 
  Christoph Beierle, Marc Finthammer, Gabriele Kern-Isberner:
  Relational Probabilistic Conditionals and Their Instantiations under Maximum Entropy Semantics for First-Order Knowledge Bases. Entropy 17(2): 852-865 (2015)
• 
  Christoph Jansen, Maximilian Beier, Michael Witt, Jie Wu, Dagmar Krefting:
  Extending XNAT towards a Cloud-based Quality Assessment Platform for Retinal Optical Coherence Tomographies. Scalable Comput. Pract. Exp. 16(1) (2015)
• 
  Maximilian Beier, Christoph Jansen, Geert Mayer, Thomas Penzel, Andrea Rodenbeck, René Siewert, Jie Wu, Dagmar Krefting:
  Multicenter Data Sharing for Collaboration in Sleep Medicine. CCGRID 2015: 880-889
• 
  Christoph Beierle, Nico Potyka, Josef Baudisch, Marc Finthammer:
  Towards Lifted Inference Under Maximum Entropy for Probabilistic Relational FO-PCL Knowledge Bases. ECSQARU 2015: 506-516
• 
  Marc Finthammer, Christoph Beierle:
  Towards a More Efficient Computation of Weighted Conditional Impacts for Relational Probabilistic Knowledge Bases Under Maximum Entropy Semantics. KI 2015: 72-86
• 2014
• 
  Christoph Beierle, Markus Höhnerbach, Marcus Marto:
  Generation of Parametrically Uniform Knowledge Bases in a Relational Probabilistic Logic with Maximum Entropy Semantics. PRUV 2014: 39-51
• 
  Jie Wu, Christoph Jansen, Maximilian Beier, Michael Witt, Dagmar Krefting:
  Extending XNAT towards a Cloud-Based Quality Assessment Platform for Retinal Optical Coherence Tomographies. CCGRID 2014: 764-773
• 
  Christoph Beierle, Markus Höhnerbach, Marcus Marto:
  Implementation of a Transformation System for Relational Probabilistic Knowledge Bases Simplifying the Maximum Entropy Model Computation. FLAIRS 2014
• 
  Gabriele Kern-Isberner, Marco Wilhelm, Christoph Beierle:
  A Novel Methodology for Processing Probabilistic Knowledge Bases Under Maximum Entropy. FLAIRS 2014
• 
  Marc Finthammer, Christoph Beierle:
  A Two-Level Approach to Maximum Entropy Model Computation for Relational Probabilistic Logic Based on Weighted Conditional Impacts. SUM 2014: 162-175

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