Zespół Modelowania, Oceny Efektywności i Bezpieczeństwa Systemów Komputerowych

2026

• Varol A.; Kołodziej K.; Sobczak Ł.; Romaszewski M.; Głomb P.; Motlagh N.; Leino M.; Virkki J.; Enabling Cloud-Level Accuracy in Edge AI through IoT Data Preprocessing; Submitted: IEEE Internet of Things Journal; 2026

• Nasereddin M.; Gelenbe E.; Parameter Sensitivity of AADRNN-Based Attack Detection; Submitted: 31st Symposium on Computers and Communications (IEEE ISCC 2026)
• Filus K.; Żarski M.; Beyond Accuracy: Uncovering the Role of Similarity Perception and its Alignment with Semantics in Supervised Learning; Submitted: arXiv preprint
• Filus K.; Romaszewski M.; Żarski M.; Semantic Depth Matters: Explaining Errors of Deep Vision Networks through Perceived Class Similarities; Submitted: arXiv preprint

2026

• Gül B.; Nakip M.; Jazdi N.; Weyrich M.; Energy- and QoS-Gated Federated Learning for Sustainable Wearable Stress Detection; In Press: 35th ACM International Conference on Information and Knowledge Management; 2026
• Nakip M.; Gibała R.; An LLM-Guided Agentic Optimization Toolbox for Edge-Deployable Neural Networks; In Press: 35th ACM International Conference on Information and Knowledge Management; 2026
• Gelenbe E.; Gül B.; Nakip M.; Federated Intrusion Detection for Smart Vehicles; In Press: IEEE International Conference on Intelligent Transportation Systems (ITSC); 2026
• Nakip M.; Gibała R.; Nowak S.; Optimizing Information Retrieval in RAG Systems via Proactive Hyperparameter Selection; In Press: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD); 2026
• Nakip M.; Gibała R.; Grygar A.; Nowak S.; Trend-based Multi-Modal Anomaly and Cyber Threat Detection with Traceable Explainability for Cloud Services; In Press: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD); 2026
• Gül B.; Nakip M.; Jazdi N.; Weyrich M.; QoS-Aware Federated Learning for Multimodal In-Cabin Interaction in Smart Vehicles; In Press: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD); 2026
• Filus K.; Faber K.; Corizzo R.; Kanan C.; Lost or Hidden? A Concept-Level Forgetting in Supervised Continual Learning; In Press: Neural Information Processing Systems (NeurIPS); 2026
• Filus K.; Nwadiuto O.; Stoeva Z.; Domańska J.; Tchuenbou-Magaia F.; Lightweight Time-Series Representation for Battery State of Health Estimation from Graphene Sensor Data; In Press: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases; 2026
• Filus K.; Pokuciński S.; Measuring Monosemanticity in Sparse Autoencoders via Latent Activation Coherence; In Press: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases; 2026
• Filus K.; Żarski M.; Inspecting Training Dynamics of Similarity Development in Supervised Vision Networks ; In Press: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases; 2026
• Czachórski T.; Grochla K.; Pecka P.; Strzoda A.; Fourneau J.; Mokdad L.; Nycz M.; Nycz T.; The Impact of CSMA on LoRaWAN Communication Efficiency: A Diffusion Approximation Model; In Press: Nineteen International Workshop on Selected Topics in Mobile and Wireless Computing WiMob; 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
• Filus K.; Cruz-Duarte J.; Target Selection for Adversarial Evaluation of Vision Models Using Language Models; In Press: IEEE International Joint Conference on Neural Networks; 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
• Halama M.; Połys K.; Nowak S.; Domańska J.; External Semantic Memory as a Cognitive Layer for Large Language Models; In Press: PP-RAI 2026; 2026
• Halama M.; Połys K.; Domańska J.; AI-Assisted Zeolite Design through Retrieval-Augmented Scientific Language Models; In Press: SCIENCE TECHNOLOGY ENGINEERING MATHEMATICS; 2026