Publikacje: Zespół Uczenia Maszynowego

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; Wysłane do recenzji: IEEE Internet of Things Journal; 2026

• Filus K.; Romaszewski M.; Żarski M.; Semantic Depth Matters: Explaining Errors of Deep Vision Networks through Perceived Class Similarities; Wysłane do recenzji: arXiv preprint

2026

• Liu J.; Wu J.; Luo H.; Sekuła P.; A knowledge distillation framework for multi-signal-to-noise ratio speech enhancement in construction environments; Developments in the Built Environment; 2026
• Bis J.; Gościńska-Bis K.; Mokrisz Ł.; Jodłowski M.; Sekuła P.; Cholewa M.; Wita K.; Strugała M.; Bachowski R.; Gocoł R.; Artificial Intelligence-Enhanced Remote Monitoring After Cardiac Surgery: A Prospective Single-Centre Feasibility Study with Retrospective Wound Image Classification; Journal of Clinical Medicine; 2026
• Romaszewski M.; Drejer K.; Kołodziej K.; Zawadzka A.; Lewiński S.; Głomb P.; Ruciński M.; Krupiński M.; Gryguc K.; Sekuła P.; Sala S.; Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types; 2026
• Varol A.; Kołodziej K.; Sobczak Ł.; Romaszewski M.; Głomb P.; Motlagh N.; Leino M.; Virkki J.; AIRWISE: Environmental Sensor and LLM Query Dataset for Edge AI-Based Air-Quality and Thermal-Comfort Analytics; 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; arXiv preprint arXiv ; 2026
• Zawadzki P.; Zawadzka A.; Zawadzka A.; Polar wiretap coding for practical quantum confidentiality; Quantum Information Processing; 2026
• Zawadzka A.; Głomb P.; Architecture Matters: Gender Disparities in Automated Image Moderation; PP-RAI'2026: 7th Polish Conference on Artificial Intelligence; 2026
• Zhang Z.; Chen W.; Cai J.; Luo H.; Skibniewski M.; Hierarchical system decomposition and semantic enrichment of BIM for lifecycle support of MEP systems; Advanced Engineering Informatics; 2026
• Xia Z.; Zhong B.; Zhang S.; Zhao T.; Skibniewski M.; Graph-driven embedding reinforcement and traceable LLM agent for reliable element alignment in construction report generation; Automation in Construction; 2026
• Wong S.; Chen Z.; Pan M.; Skibniewski M.; Exploring psychophysiological methods for human–robot collaboration in construction; Advanced Engineering Informatics; 2026
• Zawadzka A.; Żarski M.; Drejer K.; Głomb P.; Romaszewski M.; Cholewa M.; Map-Guided Cross-Training for Building Detection; Geoscience and Remote Sensing Letters; 2026
• Kołodziej K.; Cholewa M.; Głomb P.; Koral W.; Romaszewski M.; Efficient Numerical Calibration of Water Delivery Network Using Short-Burst Hydrant Trials; Journal of Water Resources Planning and Management - ASCE; 2026

2025

• Liu B.; Cong X.; Wang L.; Zhang S.; Liu H.; Saparauskas J.; Ustinovichius L.; Skibniewski M.; Spatial-temporal evolution and influencing factors of the coupling coordination degree between new infrastructure construction and high-quality development in urban agglomerations in China; Engineering, Construction and Architectural Management; 2025
• Fan X.; Jiang Y.; Zhong R.; Duarte F.; Qiu W.; Hackl J.; Skibniewski M.; Advancements and potential pitfalls for smart cities and sentient infrastructures; Digital Engineering; 2025
• Demirbağ A.; Aladağ H.; Işık Z.; Skibniewski M.; Circular Economy-Based Decision-Making Model for Contractor Selection; Buildings; 2025
• Chen H.; Shen Q.; Skibniewski M.; Cao Y.; Liu Y.; Dynamic prediction and optimization of tunneling parameters with high reliability based on a hybrid intelligent algorithm; Information Fusion; 2025
• Li Y.; Wang W.; Zhao J.; Yang Y.; Zhang Z.; Skibniewski M.; Yuan J.; Estimating demolition waste from residential interior photos: A Large Language Model solution; Automation in Construction; 2025
• Liu Q.; Zhang L.; Skibniewski M.; Network extension planning towards resilient urban critical infrastructures using deep reinforcement learning; APPLIED SOFT COMPUTING; 2025
• Liu H.; Zheng H.; Ju Q.; Skibniewski M.; Wang M.; Temporal-Spatial Evolution of BIM-Based Collaborative Innovation Network: Evidence from Patents in China\textquoterights Construction Industry; Journal of Management in Engineering - ASCE; 2025
• Zhang L.; Yuan J.; Yin X.; Gu T.; Lu Y.; Liu P.; Skibniewski M.; The emotional equation: how psychosocial support boosts safety practices in the context of construction 5.0; Frontiers in Psychology; 2025
• Chen Z.; Tan Y.; Ma Z.; Zhu Z.; Skibniewski M.; Unlocking the potential of quantum computing in prefabricated construction supply chains: Current trends, challenges, and future directions; Information Fusion; 2025
• Xiong S.; Wei X.; Chen Z.; Zhang H.; Pedrycz W.; Skibniewski M.; Identifying causes of aviation safety events using wW2V-tCNN with data augmentation; International Journal of General Systems; 2025
• Grochla K.; Romaszewski M.; Sotor J.; Masłowski P.; Belter B.; Towards AI-assisted Science with PLAI4SCIENCE - new Polish Research Infrastructure; 6th Polish Conference on Artificial Intelligence (PP-RAI 2025); 2025