79 citations · 370 across the 33 of their papers we have counts for
8 papers · 1 filter
Detection, Explanation and Filtering of Cyber Attacks Combining Symbolic and Sub-Symbolic Methods
Anna Himmelhuber, Dominik Dold, Stephan Grimm +2
Machine learning (ML) on graph-structured data has recently received deepened interest in the context of intrusion detection in the cybersecurity domain. Due to the increasing amou…
A Metaheuristic Approach for Mining Gradual Patterns
Dickson Odhiambo Owuor, Thomas Runkler, Anne Laurent
Swarm intelligence is a discipline that studies the collective behavior that is produced by local interactions of a group of individuals with each other and with their environment.…
Ant Colony Optimization for Mining Gradual Patterns
Dickson Odhiambo Owuor, Thomas Runkler, Anne Laurent +2
Gradual pattern extraction is a field in (KDD) Knowledge Discovery in Databases that maps correlations between attributes of a data set as gradual dependencies. A gradual dependenc…
Neuro-symbolic computing with spiking neural networks
Dominik Dold, Josep Soler Garrido, Victor Caceres Chian +2
Knowledge graphs are an expressive and widely used data structure due to their ability to integrate data from different domains in a sensible and machine-readable way. Thus, they c…
SeLoC-ML: Semantic Low-Code Engineering for Machine Learning Applications in Industrial IoT
Haoyu Ren, Kirill Dorofeev, Darko Anicic +3
Internet of Things (IoT) is transforming the industry by bridging the gap between Information Technology (IT) and Operational Technology (OT). Machines are being integrated with co…
User-Interactive Offline Reinforcement Learning
Phillip Swazinna, Steffen Udluft, Thomas Runkler
Offline reinforcement learning algorithms still lack trust in practice due to the risk that the learned policy performs worse than the original policy that generated the dataset or…