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Ingo Thon
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2020 – today
- 2024
- [c18]Alexander Koebler, Christian Greisinger, Jan Paulus, Ingo Thon, Florian Buettner:
Through the Eyes of the Expert: Aligning Human and Machine Attention for Industrial AI. HCI (52) 2024: 407-423 - [c17]Thomas Decker
, Alexander Koebler
Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performance. KDD 2024: 550-561 - [i5]Thomas Decker, Alexander Koebler, Michael Lebacher, Ingo Thon, Volker Tresp, Florian Buettner:
Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performance. CoRR abs/2408.13648 (2024) - 2023
- [j5]Sai Rahul Kaminwar
Structured Verification of Machine Learning Models in Industrial Settings. Big Data 11(3): 181-198 (2023) - [c16]Felippe Schmoeller Roza, Simon Hadwiger, Ingo Thon, Karsten Roscher:
Towards Safety Assurance of Uncertainty-Aware Reinforcement Learning Agents. SafeAI@AAAI 2023 - 2022
- [c15]Alexander Koebler, Ralf Gross, Florian Buettner, Ingo Thon:
Grasping Partially Occluded Objects Using Autoencoder-Based Point Cloud Inpainting. ECML/PKDD (6) 2022: 219-235 - [i4]Chih-Hong Cheng, Nguyen Anh Vu Doan, Balahari Balu, Franziska Schwaiger, Emmanouil Seferis, Simon Burton, Yassine Qamsane, Ankit Shukla
Facilitating Change Implementation for Continuous ML-Safety Assurance. CoRR abs/2209.11632 (2022)
2010 – 2019
- 2019
- [c14]Marcel Hildebrandt, Swathi Shyam Sunder, Serghei Mogoreanu, Mitchell Joblin, Akhil Mehta, Ingo Thon, Volker Tresp:
A Recommender System for Complex Real-World Applications with Nonlinear Dependencies and Knowledge Graph Context. ESWC 2019: 179-193 - 2018
- [c13]Marcel Hildebrandt, Swathi Shyam Sunder, Serghei Mogoreanu, Ingo Thon, Volker Tresp, Thomas A. Runkler
Configuration of Industrial Automation Solutions Using Multi-relational Recommender Systems. ECML/PKDD (3) 2018: 271-287 - 2016
- [c12]Martin Ringsquandl, Steffen Lamparter, Ingo Thon, Raffaello Lepratti, Peer Kröger:
Knowledge Graph Constraints for Multi-label Graph Classification. ICDM Workshops 2016: 121-127 - 2015
- [j4]Daan Fierens, Guy Van den Broeck
Inference and learning in probabilistic logic programs using weighted Boolean formulas. Theory Pract. Log. Program. 15(3): 358-401 (2015) - [c11]Luc De Raedt, Anton Dries, Ingo Thon, Guy Van den Broeck, Mathias Verbeke:
Inducing Probabilistic Relational Rules from Probabilistic Examples. IJCAI 2015: 1835-1843 - 2013
- [c10]Bogdan Moldovan, Ingo Thon, Jesse Davis
MCMC Estimation of Conditional Probabilities in Probabilistic Programming Languages. ECSQARU 2013: 436-448 - [c9]Jan Stadermann, Stephan Symons, Ingo Thon:
Extracting hierarchical data points and tables from scanned contracts. UIMA@GSCL 2013: 50-57 - [i3]Daan Fierens, Guy Van den Broeck, Joris Renkens, Dimitar Sht. Shterionov, Bernd Gutmann, Ingo Thon, Gerda Janssens, Luc De Raedt:
Inference and learning in probabilistic logic programs using weighted Boolean formulas. CoRR abs/1304.6810 (2013) - 2012
- [c8]Davide Nitti, Tinne De Laet, McElory Hoffmann, Ingo Thon, Guy Van den Broeck, Luc De Raedt:
A Particle Filter for Probabilistic Dynamic Relational Domains. StarAI@UAI 2012 - [i2]Daan Fierens, Guy Van den Broeck, Ingo Thon, Bernd Gutmann, Luc De Raedt:
Inference in Probabilistic Logic Programs using Weighted CNF's. CoRR abs/1202.3719 (2012) - 2011
- [b1]Ingo Thon:
Stochastic Relational Processes and Models: Learning and Reasoning (Stochastisch relationele processen en modellen: leren en redeneren). Katholieke Universiteit Leuven, Belgium, 2011 - [j3]Ingo Thon, Niels Landwehr, Luc De Raedt
Stochastic relational processes: Efficient inference and applications. Mach. Learn. 82(2): 239-272 (2011) - [j2]Bernd Gutmann, Ingo Thon, Angelika Kimmig, Maurice Bruynooghe, Luc De Raedt
The magic of logical inference in probabilistic programming. Theory Pract. Log. Program. 11(4-5): 663-680 (2011) - [c7]Bernd Gutmann, Ingo Thon, Luc De Raedt
Learning the Parameters of Probabilistic Logic Programs from Interpretations. ECML/PKDD (1) 2011: 581-596 - [c6]Daan Fierens, Guy Van den Broeck, Ingo Thon, Bernd Gutmann, Luc De Raedt:
Inference in Probabilistic Logic Programs using Weighted CNF's. UAI 2011: 211-220 - [i1]Bernd Gutmann, Ingo Thon, Angelika Kimmig, Maurice Bruynooghe, Luc De Raedt:
The Magic of Logical Inference in Probabilistic Programming. CoRR abs/1107.5152 (2011) - 2010
- [c5]Guy Van den Broeck, Ingo Thon, Martijn van Otterlo, Luc De Raedt:
DTProbLog: A Decision-Theoretic Probabilistic Prolog. AAAI 2010: 1217-1222 - [c4]Ingo Thon, Bernd Gutmann, Guy Van den Broeck:
Probabilistic Programming for Planning Problems. StarAI@AAAI 2010 - [c3]Luc De Raedt
Probabilistic Rule Learning. ILP 2010: 47-58
2000 – 2009
- 2009
- [c2]Ingo Thon:
Don't Fear Optimality: Sampling for Probabilistic-Logic Sequence Models. ILP 2009: 226-233 - 2008
- [j1]Niels Landwehr, Bernd Gutmann, Ingo Thon, Luc De Raedt, Matthai Philipose:
Relational Transformation-based Tagging for Activity Recognition. Fundam. Informaticae 89(1): 111-129 (2008) - [c1]Ingo Thon, Niels Landwehr, Luc De Raedt
A Simple Model for Sequences of Relational State Descriptions. ECML/PKDD (2) 2008: 506-521
Coauthor Index
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last updated on 2024-10-08 21:29 CEST by the dblp team
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