1 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- TU Dortmund UniversityDE4 papers
- University of Duisburg-EssenDE3 papers
- Max Planck Institute for Security and PrivacyDE2 papers
- Ruhr University BochumDE2 papers
- Administration of Occupational Safety and HealthIS1 paper
- CentraleSupélecFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Duke UniversityUS1 paper
- Evangelische Hochschule BerlinDE1 paper
- Icelandic Transport AuthorityIS1 paper
- Laboratoire Méthodes FormellesFR1 paper
- Max Planck Institute for Software SystemsDE1 paper
5 papers
Campus AI vs. Commercial AI: Comparing How Students and Employees Perceive their University's LLM Chatbot vs. ChatGPT
Leon Hannig, Annika Bush, Meltem Aksoy +3
As the use of LLM chatbots by students and researchers becomes more prevalent, universities are pressed to develop AI strategies. One strategy that many universities pursue is to c…
Campus AI vs Commercial AI: A Late-Breaking Study on How LLM As-A-Service Customizations Shape Trust and Usage Patterns
Leon Hannig, Annika Bush, Meltem Aksoy +2
As the use of Large Language Models (LLMs) by students, lecturers and researchers becomes more prevalent, universities - like other organizations - are pressed to develop coherent…
Choosing a Model, Shaping a Future: Comparing LLM Perspectives on Sustainability and its Relationship with AI
Annika Bush, Meltem Aksoy, Markus Pauly +1
As organizations increasingly rely on AI systems for decision support in sustainability contexts, it becomes critical to understand the inherent biases and perspectives embedded in…
Convolutional Neural Networks for Segmentation of Malignant Pleural Mesothelioma: Analysis of Probability Map Thresholds (CALGB 30901, Alliance)
Mena Shenouda, Eyjólfur Gudmundsson, Feng Li +7
Malignant pleural mesothelioma (MPM) is the most common form of mesothelioma. To assess response to treatment, tumor measurements are acquired and evaluated based on a patient's lo…
Analyzing Robustness of Angluin's L Algorithm in Presence of Noise
Lina Ye, Igor Khmelnitsky, Serge Haddad +5
Angluin's L algorithm learns the minimal deterministic finite automaton (DFA) of a regular language using membership and equivalence queries. Its probabilistic approximatively…