activity
20062024
most citedECA-RuleML: An Approach combining ECA Rules with temporal interval-based KR Event/Action Logics and Transactional Update Logics

57 citations · 250 across the 28 of their papers we have counts for

collaborators

31 papers

cs.CL2024

Fine-Grained Named Entities for Corona News

Sefika Efeoglu, Adrian Paschke

Information resources such as newspapers have produced unstructured text data in various languages related to the corona outbreak since December 2019. Analyzing these unstructured…

cs.CL2023★ 1 cited

Hateful Messages: A Conversational Data Set of Hate Speech produced by Adolescents on Discord

Jan Fillies, Silvio Peikert, Adrian Paschke

With the rise of social media, a rise of hateful content can be observed. Even though the understanding and definitions of hate speech varies, platforms, communities, and legislatu…

quant-ph2023★ 11 cited

GA4QCO: Genetic Algorithm for Quantum Circuit Optimization

Leo Sünkel, Darya Martyniuk, Denny Mattern +2

The design of quantum circuits is often still done manually, for instance by following certain patterns or rule of thumb. While this approach may work well for some problems, it ca…

cs.SI2023★ 4 cited

ContCommRTD: A Distributed Content-based Misinformation-aware Community Detection System for Real-Time Disaster Reporting

Elena-Simona Apostol, Ciprian-Octavian Truică, Adrian Paschke

Real-time social media data can provide useful information on evolving hazards. Alongside traditional methods of disaster detection, the integration of social media data can consid…

cs.AI2023

EDSA-Ensemble: an Event Detection Sentiment Analysis Ensemble Architecture

Alexandru Petrescu, Ciprian-Octavian Truică, Elena-Simona Apostol +1

As global digitization continues to grow, technology becomes more affordable and easier to use, and social media platforms thrive, becoming the new means of spreading information a…

cs.LG2022★ 14 cited

Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey

Julian Wörmann, Daniel Bogdoll, Christian Brunner +49

The availability of representative datasets is an essential prerequisite for many successful artificial intelligence and machine learning models. However, in real life applications…