Publikacje
Opublikowane
2023
- Hiremath S.; Shetty E.; Prakash A.; Sahoo S.; Patro K.; Rajesh K.; Plawiak P.; A New Approach to Data Analysis Using Machine Learning for Cybersecurity; Big Data and Cognitive Computing; 2023
- Dogra A.; Ewaidat H.; Samee N.; Allam J.; Patro K.; Plawiak P.; Mahmoud N.; Hammad M.; The Knowledge and Perception about COVID-19 among Medical Imaging Professionals; Health & Social Care in the Community; 2023
- Kandukuri U.; Prakash A.; Patro K.; Neelapu B.; Tadeusiewicz R.; Plawiak P.; Constant Q–Transform–Based Deep Learning Architecture for Detection of Obstructive Sleep Apnea; International Journal of Applied Mathematics and Computer Science; 2023
- Semary N.; Ahmed W.; Amin K.; Plawiak P.; Hammad M.; Improving sentiment classification using a RoBERTa-based hybrid model; Frontiers in Human Neuroscience; 2023
- Głomb P.; Cholewa M.; Foszner P.; Bularz J.; Ganzha M.; Maciaszek L.; Paprzycki M.; Slezak D.; Continual learning of a time series model using a mixture of HMMs with application to the IoT fuel sensor verification; Proceedings of the 18th Conference on Computer Science and Intelligence Systems, FedCSIS 2023, Warsaw, Poland, September 17-20, 2023; 2023
- Kuaban G.; Czekalski P.; Nwobodo O.; Sell R.; Nikitenko A.; Berkolds K.; Tanko K.; Smart Sustainable Agrivoltaics Systems: The Future of Sustainable Agricultural Technology (Agri-tech) and Green Energy; Proc. of the 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME 2023); 2023
- Jałowiecki K.; Validation and benchmarking of quantum annealing technology; PhD Thesis, arXiv preprint. arXiv:2312.03534; 2023
- Van Waveren M.; Savinaud M.; Pasero G.; Defonte V.; Brunet P.; Faucoz O.; Gawron P.; Gardas B.; Puchała Z.; Pawela Ł.; Comparison of Quantum Neural Network Algorithms For Earth Observation Data Classification; IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium; 2023
- Głomb P.; Romaszewski M.; Cholewa M.; Koral W.; Madej A.; Skrabski M.; Kołodziej K.; Machine Learning for Water Leak Detection and Localization in the WaterPrime Project; Wojciechowski A.(Ed.), Lipiński P.(Ed.)., Progress in Polish Artificial Intelligence Research 4, Seria: Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023, ISBN 978-83-66741-92-8, doi: 10.34658/9788366741928.; 2023
- Gardas B.; Głomb P.; Sadowski P.; Puchała Z.; Jałowiecki K.; Pawela Ł.; Faucoz O.; Brunet P.; Gawron P.; Van Waveren M.; Savinaud M.; Pasero G.; Defonte V.; Hyper-Spectral Image Classification Using Adiabatic Quantum Computation; IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium; 2023
- Glück R.; Lanese I.; Mezzina C.; Miszczak J.; Phillips I.; Ulidowski I.; Vidal G.; Towards a Taxonomy for Reversible Computation Approaches; Reversible Computation 2023; 2023
- Kessler S.; Ostaszewski M.; Bortkiewicz M.; Żarski M.; Wołczyk M.; Parker-Holder J.; Roberts S.; Miłoś P.; The Effectiveness of World Models for Continual Reinforcement Learning; Conference on Lifelong Learning Agents; 2023
- Wójcik B.; Żarski M.; Książek K.; Miszczak J.; Skibniewski M.; A deep learning method for hard-hat-wearing detection based on head center localization; Bulletin of the Polish Academy of Sciences Technical Sciences; 2023
- Marek D.; Paszkuta M.; Szyguła J.; Biernacki P.; Domański A.; Szczygieł M.; Król M.; Wojciechowski K.; General Concepts in Swarm of Drones Control: Analysis and Implementation; 2023 IEEE International Conference on Big Data; 2023
- Biernacki P.; Ziębiński A.; Syu J.; Lin J.; The Calibration of Single Beam Distance Sensors based on Machine Learning Methods; 2023 IEEE International Conference on Big Data; 2023
- Sobczak Ł.; Filus K.; Halama M.; Domańska J.; Visual examination of relations between known classes for deep neural network classifiers.; 2023 IEEE International Conference on Big Data; 2023
- Filus K.; Domańska J.; NetSat: Network Saturation Adversarial Attack; IEEE International Conference on Big Data (IEEE BigData 2023); 2023