mgr inż. Nur Kelesoglu
Wizytówka
mgr inż.
Nur
Kelesoglu
Email
Status
Pracownik instytutu
Stanowisko
Asystent
Orcid ID
Pokój
117b
Publikacje
W druku
2026
- Sobczak Ł.; Kelesoglu N.; Why the Robot Said No: Knowledge-Graph-Grounded Explanations for LLM-Based Robot Planning; In Press: International Semantic Web Conference (ISWC); 2026
- Kelesoglu N.; Sobczak Ł.; Domańska J.; Knowledge-Graph-Grounded Multimodal Explanations for Trustworthy Time-Series Forecasting in DevOps Systems; In Press: International Semantic Web Conference (ISWC); 2026
- Kelesoglu N.; Judging Turn-Taking Through a Monocultural Lens: A Parallel-Corpus Probe of Cultural Bias in LLMs; In Press: ACM International Conference on Multimodal Interaction (ICMI); 2026
- Kelesoglu N.; Sobczak Ł.; Domańska J.; From Plots to Words: Model-Aware Multimodal Explanations as a Foundation for Accessible, Non-Visual Interaction; In Press: ACM International Conference on Multimodal Interaction (ICMI); 2026
- Sobczak Ł.; Kelesoglu N.; Nowak S.; Risk-Aware Semantic Grounding for Trustworthy LLM-Based Robot Planning; In Press: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD); 2026
- Sobczak Ł.; Kelesoglu N.; Domańska J.; Reliability-Aware LLM Reasoning: Handling Uncertainty in Robot Perception; In Press: IEEE International Conference on Robot and Human Interactive Communication (IEEE RO-MAN 2026); 2026
- Kelesoglu N.; Domańska J.; Sobczak Ł.; Risk-Aware Response Refinement for Safer LLM-Powered Socially Assistive Robots in Elderly Care; In Press: IEEE International Conference on Robot and Human Interactive Communication (IEEE RO-MAN 2026); 2026
Opublikowane
2026
- Nakip M.; Kelesoglu N.; Mert T.; Güzeliş C.; Self-Supervised Online Learning Algorithm for rTPNN to Reduce False Alarms in Fire Detection; Knowledge-Based Systems; 2026
- Kelesoglu N.; Sobczak Ł.; Domańska J.; CPU Utilization Forecasting in Large-Scale Cloud Clusters Using Gradient Boosting; 7th Polish Conference on Artificial Intelligence (PP-RAI'2026); 2026
2025
2024
- Kelesoglu N.; Sobczak Ł.; ZigBeeNet: Decrypted ZigBee IoT Network Traffic Dataset in Smart Home Environment; Applied Sciences; 2024
2023
- Kelesoglu N.; Filus K.; Domańska J.; HierAct: a Hierarchical Model for Human Activity Recognition in Game-Like Educational Applications; 2023 IEEE International Conference on Big Data; 2023
2021
- Saylam A.; Kelesoglu N.; Cikmazel R.; Nakip M.; Rodoplu V.; Dynamic Positioning Interval Based On Reciprocal Forecasting Error (DPI-RFE) Algorithm for Energy-Efficient Mobile IoT Indoor Positioning; International Conference on Computer, Information and Telecommunication Systems (CITS); 2021
Projekty
Zaawansowane narzędzie utrzymania i diagnostyki aplikacji dla Start-upów IT
Numer projektuFENG.01.01-IP.01-A0GV/24-00Osoba odpowiedzalnaLeveraging AI for Generation Realistic Network Traffic: A Descriptive Input Approach
Numer projektuIITIS/BW/05/25Kierownik projektu