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09/01/2023
On the Aggregation of Rules for Knowledge Graph Completion
Rule learning approaches for knowledge graph completion are efficient, i...
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08/07/2023
Towards Machine Learning-based Fish Stock Assessment
The accurate assessment of fish stocks is crucial for sustainable fisher...
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05/05/2023
Learning Decision Trees with Gradient Descent
Decision Trees (DTs) are commonly used for many machine learning tasks d...
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01/25/2023
Leveraging Planning Landmarks for Hybrid Online Goal Recognition
Goal recognition is an important problem in many application domains (e....
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01/13/2023
Investigating the Combination of Planning-Based and Data-Driven Methods for Goal Recognition
An important feature of pervasive, intelligent assistance systems is the...
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07/18/2022
Discovering Behavioral Predispositions in Data to Improve Human Activity Recognition
The automatic, sensor-based assessment of challenging behavior of person...
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07/18/2022
Outlier Explanation via Sum-Product Networks
Outlier explanation is the task of identifying a set of features that di...
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06/10/2022
Explaining Neural Networks without Access to Training Data
We consider generating explanations for neural networks in cases where t...
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02/01/2022
Activity Recognition in Assembly Tasks by Bayesian Filtering in Multi-Hypergraphs
We study sensor-based human activity recognition in manual work processe...
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10/11/2021
Exchangeability-Aware Sum-Product Networks
Sum-Product Networks (SPNs) are expressive probabilistic models that pro...
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04/18/2018
State-Space Abstractions for Probabilistic Inference: A Systematic Review
Tasks such as social network analysis, human behavior recognition, or mo...
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01/31/2018
Lifted Filtering via Exchangeable Decomposition
We present a model for recursive Bayesian filtering based on lifted mult...
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07/20/2017