16 citations
- AGH University of KrakowPL3 papers
- Jagiellonian UniversityPL2 papers
- Boston UniversityUS1 paper
- California State University, East BayUS1 paper
- CEA GrenobleFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR1 paper
- Franche-Comté Électronique Mécanique Thermique et Optique - Sciences et TechnologiesFR1 paper
- GSI Helmholtz Centre for Heavy Ion ResearchDE1 paper
- Helmholtz Institute MainzDE1 paper
- Institute of Condensed Matter Chemistry and Technologies for EnergyIT1 paper
- Institute of PhysicsPL1 paper
6 papers
Stylometry recognizes human and LLM-generated texts in short samples
Karol Przystalski, Jan K. Argasiński, Iwona Grabska-Gradzińska +1
The paper explores stylometry as a method to distinguish between texts created by Large Language Models (LLMs) and humans, addressing issues of model attribution, intellectual prop…
Hardware-Accelerated Event-Graph Neural Networks for Low-Latency Time-Series Classification on SoC FPGA
Hiroshi Nakano, Krzysztof Blachut, Kamil Jeziorek +6
As the quantities of data recorded by embedded edge sensors grow, so too does the need for intelligent local processing. Such data often comes in the form of time-series signals, b…
Searching for dark matter with a 1000 km baseline interferometer
Daniel Gavilan-Martin, Grzegorz Lukasiewicz, Mikhail Padniuk +8
Axion-like particles (ALPs) arise from well-motivated extensions to the Standard Model and could account for dark matter. ALP dark matter would manifest as a field oscillating at a…
Mo-Si-B alloys for ultra-high temperature space and ground applications: liquid assisted fabrication under various temperature and time conditions
G. Bruzda, W. Polkowski, R. Nowak +5
Boron-doped molybdenum silicides have been already recognized as attractive candidates for space and ground ultra-high temperature applications far beyond limits of state-of-the-ar…
A learning by confusion approach to characterize phase transitions
Monika Richter-Laskowska, Marcin Kurpas, Maciej Maśka
Recently, the learning by confusion (LBC) approach has been proposed as a machine learning tool to determine the critical temperature Tc of phase transitions without any prior know…
Aging behavior of Haynes 282 wrought nickel superalloy subjected to a cold pre-deformation by differential speed rolling
Wojciech Polkowski, Adelajda Polkowska, Sebastian Lech
The mechanical response of Haynes 282, a wrought gamma prime strengthened nickel based superalloy, is tailored by using both a cold deformation processing and a post straining heat…