most citedAnalyzing Robustness of Angluin's L Algorithm in Presence of Noise

1 citations

5 papers

cs.HC2025

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…

cs.CY2025

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…

cs.CY2025

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…

eess.IV2023★ 1 cited

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…

cs.FL2023★ 1 cited

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…