Titlebook: Analysis of Images, Social Networks and Texts; 11th International C Dmitry I. Ignatov,Michael Khachay,Sergey Zagoruyko Conference proceedin

踉跄

Conference proceedings 2024eviewed and selected from 93 submissions. They were organized in topical sections as follows: natural language processing; computer vision; data analysis and machine learning; network analysis; and theoretical machine learning and optimization. The book also contains one invited talk in full paper length. .

nocturnal

Adenoma

Business in the Digital Economyr for a mention. Experimental results on an ultra-fine entity typing task demonstrate that combining our predictions with the predictions of an existing neural model leads to a slight improvement over the ultra-fine types for mentions that are not pronouns.

不可救药

Conference proceedings 2024ial Networks and Texts, AIST 2023, held in Yerevan, Armenia, during September 28-30, 2023.  .The 24 full papers included in this book were carefully reviewed and selected from 93 submissions. They were organized in topical sections as follows: natural language processing; computer vision; data analy

BLANC

World War II Impacting Colonized Asiacomprehensive analysis of the performance of the compressed models on different setups and compression levels. We observe a performance increase when using FWTTM compared to other methods on low ranks (high compression rates) for both encoder-only and encoder-decoder models.

expdient

installment

Numan M. Durakbasa,M. Güneş Gençyılmaz localize bone pathologies, leveraging its real-time object detection capabilities. Additionally, the Swin, a transformer-based module, is utilized to extract contextual information from the localized regions of interest (ROIs) for accurate classification.

责问

Transformers Compression: A Study of Matrix Decomposition Methods Using Fisher Informationcomprehensive analysis of the performance of the compressed models on different setups and compression levels. We observe a performance increase when using FWTTM compared to other methods on low ranks (high compression rates) for both encoder-only and encoder-decoder models.

Graphite

Needle in a Haystack: Finding Suitable Idioms Based on Text Descriptionstence-BERT family. We also automatically expanded the initial dataset and fine-tuned a pre-trained Sentence-BERT model on the idiom/context matching task. This approach achieved the highest MRR score of 0.507. The data and the trained model are publicly available.

Melatonin

DeepLOC: Deep Learning-Based Bone Pathology Localization and Classification in Wrist X-Ray Images localize bone pathologies, leveraging its real-time object detection capabilities. Additionally, the Swin, a transformer-based module, is utilized to extract contextual information from the localized regions of interest (ROIs) for accurate classification.