• 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 106 matches

• 2024
• 
  Frantisek Prinz, Jan Pokorný, Jakub Elcner, Frantisek Lízal, Ondrej Misík, Milan Malý, Miloslav Belka, Nicolas Hafen, Adrian Kummerländer, Mathias J. Krause, Jan Jedelský, Miroslav Jícha:
  Comprehensive experimental and numerical validation of Lattice Boltzmann fluid flow and particle simulations in a child respiratory tract. Comput. Biol. Medicine 170: 107994 (2024)
• 
  Shota Ito, Julius Jeßberger, Stephan Simonis, Fedor Bukreev, Adrian Kummerländer, Alexander Zimmermann, Gudrun Thäter, Georg R. Pesch, Jorg Thöming, Mathias J. Krause:
  Identification of reaction rate parameters from uncertain spatially distributed concentration data using gradient-based PDE constrained optimization. Comput. Math. Appl. 167: 249-263 (2024)
• 
  Jan E. Marquardt, Nicolas Hafen, Mathias J. Krause:
  A novel model for direct numerical simulation of suspension dynamics with arbitrarily shaped convex particles. Comput. Phys. Commun. 304: 109321 (2024)
• 
  Kristof Coussement, Mohammad Zoynul Abedin, Mathias Kraus, Sebastián Maldonado, Kazim Topuz:
  Explainable AI for enhanced decision-making. Decis. Support Syst. 184: 114276 (2024)
• 
  Koen W. De Bock, Kristof Coussement, Arno De Caigny, Roman Slowinski, Bart Baesens, Robert N. Boute, Tsan-Ming Choi, Dursun Delen, Mathias Kraus, Stefan Lessmann, Sebastián Maldonado, David Martens, María Óskarsdóttir, Carla Vairetti, Wouter Verbeke, Richard Weber:
  Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda. Eur. J. Oper. Res. 317(2): 249-272 (2024)
• 
  Mathias Kraus, Daniel Tschernutter, Sven Weinzierl, Patrick Zschech:
  Interpretable generalized additive neural networks. Eur. J. Oper. Res. 317(2): 303-316 (2024)
• 
  Davide Dapelo, Adrian Kummerländer, Mathias J. Krause, John Bridgeman:
  Lattice-Boltzmann LES modelling of a full-scale, biogas-mixed anaerobic digester. Eng. Comput. 40(2): 715-739 (2024)
• 
  Jan E. Marquardt, Nicolas Hafen, Mathias J. Krause:
  A novel particle decomposition scheme to improve parallel performance of fully resolved particulate flow simulations. J. Comput. Sci. 78: 102263 (2024)
• 
  Mathias Kraus, Stefan Feuerriegel, Maytal Saar-Tsechansky:
  Data-Driven Allocation of Preventive Care with Application to Diabetes Mellitus Type II. Manuf. Serv. Oper. Manag. 26(1): 137-153 (2024)
• 
  Daniel Tschernutter, Mathias Kraus, Stefan Feuerriegel:
  A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functions. Trans. Mach. Learn. Res. 2024 (2024)
• 
  Tobias Schimanski, Jingwei Ni, Mathias Kraus, Elliott Ash, Markus Leippold:
  Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering. ACL (1) 2024: 1913-1931
• 
  Mathias Kraus, Nico Hambauer, Kristina Müller, Pavlina Kröckel, Nalika Ulapane, Arno De Caigny, Koen W. De Bock, Kristof Coussement:
  Coupling Neural Networks Between Clusters for Better Personalized Care. HICSS 2024: 3627-3636
• 
  Daniel Tschernutter, Mathias Kraus, Stefan Feuerriegel:
  A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functions. CoRR abs/2401.07936 (2024)
• 
  Tobias Schimanski, Jingwei Ni, Mathias Kraus, Elliott Ash, Markus Leippold:
  Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering. CoRR abs/2402.08277 (2024)
• 
  Theodor Stoecker, Nico Hambauer, Patrick Zschech, Mathias Kraus:
  IGANN Sparse: Bridging Sparsity and Interpretability with Non-linear Insight. CoRR abs/2403.11363 (2024)
• 
  Sandra Zilker, Sven Weinzierl, Mathias Kraus, Patrick Zschech, Martin Matzner:
  A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis. CoRR abs/2405.13187 (2024)
• 2023
• 
  Stephan Simonis, Martin Frank, Mathias J. Krause:
  Constructing relaxation systems for lattice Boltzmann methods. Appl. Math. Lett. 137: 108484 (2023)
• 
  Justus Zipfel, Felix Verworner, Marco Fischer, Uwe Wieland, Mathias Kraus, Patrick Zschech:
  Anomaly detection for industrial quality assurance: A comparative evaluation of unsupervised deep learning models. Comput. Ind. Eng. 177: 109045 (2023)
• 
  Adrian Kummerländer, Márcio Dorn, Martin Frank, Mathias J. Krause:
  Implicit propagation of directly addressed grids in lattice Boltzmann methods. Concurr. Comput. Pract. Exp. 35(8) (2023)
• 
  Fedor Bukreev, Stephan Simonis, Adrian Kummerländer, Julius Jeßberger, Mathias J. Krause:
  Consistent lattice Boltzmann methods for the volume averaged Navier-Stokes equations. J. Comput. Phys. 490: 112301 (2023)
• 
  Carlo Weidemann, Nils Mandischer, Frederick van Kerkom, Burkhard Corves, Mathias Hüsing, Thomas Kraus, Cyryl Garus:
  Literature Review on Recent Trends and Perspectives of Collaborative Robotics in Work 4.0. Robotics 12(3): 84 (2023)
• 
  Dominik Stammbach, Nicolas Webersinke, Julia Anna Bingler, Mathias Kraus, Markus Leippold:
  Environmental Claim Detection. ACL (2) 2023: 1051-1066
• 
  Nilmini Wickramasinghe, Nalika Ulapane, Amirhossein Eslami Andargoli, Jan Miltner, Jule van de Logt, Mathias Kraus, Freimut Bodendorf:
  A Suggested Blockchain Architecture for Healthcare Data Sharing. AMCIS 2023
• 
  Sandra Zilker, Sven Weinzierl, Patrick Zschech, Mathias Kraus, Martin Matzner:
  Best of Both Worlds: Combining Predictive Power with Interpretable and Explainable Results for Patient Pathway Prediction. ECIS 2023
• 
  Jingwei Ni, Julia Anna Bingler, Chiara Colesanti Senni, Mathias Kraus, Glen Gostlow, Tobias Schimanski, Dominik Stammbach, Saeid Ashraf Vaghefi, Qian Wang, Nicolas Webersinke, Tobias Wekhof, Tingyu Yu, Markus Leippold:
  CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools. EMNLP (Demos) 2023: 21-51
• 
  Tobias Schimanski, Julia Anna Bingler, Mathias Kraus, Camilla Hyslop, Markus Leippold:
  ClimateBERT-NetZero: Detecting and Assessing Net Zero and Reduction Targets. EMNLP 2023: 15745-15756
• 
  Mathias Kraus, Julia Anna Bingler, Markus Leippold, Tobias Schimanski, Chiara Colesanti Senni, Dominik Stammbach, Saeid Ashraf Vaghefi, Nicolas Webersinke:
  Enhancing Large Language Models with Climate Resources. CoRR abs/2304.00116 (2023)
• 
  Saeid Ashraf Vaghefi, Qian Wang, Veruska Muccione, Jingwei Ni, Mathias Kraus, Julia Anna Bingler, Tobias Schimanski, Chiara Colesanti Senni, Nicolas Webersinke, Christian Huggel, Markus Leippold:
  chatClimate: Grounding Conversational AI in Climate Science. CoRR abs/2304.05510 (2023)
• 
  Adrian Kummerländer, Samuel J. Avis, Halim Kusumaatmaja, Fedor Bukreev, Michael Crocoll, Davide Dapelo, Simon Großmann, Nicolas Hafen, Shota Ito, Julius Jeßberger, Eliane Kummer, Jan E. Marquardt, Johanna Mödl, Tim Pertzel, Frantisek Prinz, Florian Raichle, Martin Sadric, Maximilian Schecher, Dennis Teutscher, Stephan Simonis, Mathias J. Krause:
  OpenLB User Guide: Associated with Release 1.6 of the Code. CoRR abs/2307.11752 (2023)
• 
  Jingwei Ni, Julia Anna Bingler, Chiara Colesanti Senni, Mathias Kraus, Glen Gostlow, Tobias Schimanski, Dominik Stammbach, Saeid Ashraf Vaghefi, Qian Wang, Nicolas Webersinke, Tobias Wekhof, Tingyu Yu, Markus Leippold:
  CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools. CoRR abs/2307.15770 (2023)

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