找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Deep Learning Theory and Applications; 5th International Co Ana Fred,Allel Hadjali,Carlo Sansone Conference proceedings 2024 The Editor(s)

[复制链接]
楼主: deduce
发表于 2025-3-26 22:14:01 | 显示全部楼层
,Deep Learning-Based Preprocessing Tools for Turkish Natural Language Processing,del to train the character-level tools, and BERT and mT5 models for the token-based tools. We evaluate the framework for each task on the BOUN Treebank in the UD project and make both the tools and the codes publicly available.
发表于 2025-3-27 02:02:44 | 显示全部楼层
发表于 2025-3-27 06:35:27 | 显示全部楼层
Conference proceedings 2024 DeLTA 2024, which took place in Dijon, France, during July 10-11, 2024. ..The 44 papers included in these proceedings were carefully reviewed and selected from a total of 70 submissions. They focus on topics such as deep learning and big data analytics; machine-learning and artificial intelligence,
发表于 2025-3-27 10:16:21 | 显示全部楼层
发表于 2025-3-27 13:40:30 | 显示全部楼层
发表于 2025-3-27 20:21:05 | 显示全部楼层
,Personalentwicklung für virtuelle Teams,wed by removal of anomalous samples, and fine-tuning on the refined dataset. Experiments conducted on the challenging Kolektor SDD2 dataset show how this process enhances the representation of ‘normal’ data and mitigates overfitting risks.
发表于 2025-3-28 01:35:28 | 显示全部楼层
,Pollutant Source Localization Based on Siamese Neural Network Similarity Measure,orks (SNN). The methodology was tested on simulated measurements based on real atmospheric conditions. And Monte Carlo Markov Chain (MCMC) in a Bayesian inference framework was used to identify the source position and intensity.
发表于 2025-3-28 03:44:58 | 显示全部楼层
发表于 2025-3-28 07:58:12 | 显示全部楼层
,Self-supervised Learning for Robust Surface Defect Detection,wed by removal of anomalous samples, and fine-tuning on the refined dataset. Experiments conducted on the challenging Kolektor SDD2 dataset show how this process enhances the representation of ‘normal’ data and mitigates overfitting risks.
发表于 2025-3-28 10:50:28 | 显示全部楼层
1865-0929 lications, DeLTA 2024, which took place in Dijon, France, during July 10-11, 2024. ..The 44 papers included in these proceedings were carefully reviewed and selected from a total of 70 submissions. They focus on topics such as deep learning and big data analytics; machine-learning and artificial int
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-10 21:47
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表