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pro vyhledávání: '"A. Longin"'
We present the architecture of a fully autonomous, bio-inspired cognitive agent built around a spiking neural network (SNN) implementing the agent's semantic memory. The agent explores its universe and learns concepts of objects/situations and of its
Externí odkaz:
http://arxiv.org/abs/2411.12308
Autor:
Zhang, Qi, Chen, Zhijia, Pan, Huitong, Caragea, Cornelia, Latecki, Longin Jan, Dragut, Eduard
Scientific information extraction (SciIE) is critical for converting unstructured knowledge from scholarly articles into structured data (entities and relations). Several datasets have been proposed for training and validating SciIE models. However,
Externí odkaz:
http://arxiv.org/abs/2410.21155
It is known that the oblique helicoidal cholesteric structure (Ch$_{OH}$), which is formed in alternating electrical field applied to the chiral nematic phase (N*) at temperatures above the chiral twist-bend nematic phase (N*$_{tb}$), can show select
Externí odkaz:
http://arxiv.org/abs/2410.05478
Autor:
Kasian, Natalia A., Lisetski, Longin N., Ivanchenko, Serhii E., Chornous, Vitalii O., Bogatyryova, Halyna V., Gvozdovskyy, Igor A.
It has been found that in mixtures of nematic E7 and smectogenic cholesteryl oleyl carbonate (COC) the S$_A$-N* transition temperature is substantially (by ~20 K) increased, as compared with pure COC, at E7 concentrations around ~40%. Within the same
Externí odkaz:
http://arxiv.org/abs/2408.00650
Flowcharts are graphical tools for representing complex concepts in concise visual representations. This paper introduces the FlowLearn dataset, a resource tailored to enhance the understanding of flowcharts. FlowLearn contains complex scientific flo
Externí odkaz:
http://arxiv.org/abs/2407.05183
Publikováno v:
LREC-COLING. (2024) 14407-14417
We present SciDMT, an enhanced and expanded corpus for scientific mention detection, offering a significant advancement over existing related resources. SciDMT contains annotated scientific documents for datasets (D), methods (M), and tasks (T). The
Externí odkaz:
http://arxiv.org/abs/2406.14756
Autor:
Georgian-Longin Iacobescu, Antonio-Daniel Corlatescu, Bogdan Serban, Razvan Spiridonica, Horia Petre Costin, Catalin Cirstoiu
Publikováno v:
Current Issues in Molecular Biology, Vol 46, Iss 11, Pp 12658-12671 (2024)
The chondrosarcoma, a cartilage-forming bone tumor, presents significant clinical challenges due to its resistance to chemotherapy and radiotherapy. Surgical excision remains the primary treatment, but high-grade chondrosarcomas are prone to recurren
Externí odkaz:
https://doaj.org/article/f27b77cca3a34f6dae4d430744139c8c
Autor:
Almalki, Amani, Latecki, Longin Jan
The computer-assisted radiologic informative report has received increasing research attention to facilitate diagnosis and treatment planning for dental care providers. However, manual interpretation of dental images is limited, expensive, and time-c
Externí odkaz:
http://arxiv.org/abs/2306.10623
Publikováno v:
Transactions of the Association for Computational Linguistics. 11 (2023) 1132-1146
The recognition of dataset names is a critical task for automatic information extraction in scientific literature, enabling researchers to understand and identify research opportunities. However, existing corpora for dataset mention detection are lim
Externí odkaz:
http://arxiv.org/abs/2305.11779
Due to a huge volume of information in many domains, the need for classification methods is imperious. In spite of many advances, most of the approaches require a large amount of labeled data, which is often not available, due to costs and difficulti
Externí odkaz:
http://arxiv.org/abs/2304.12492