勤劳 发表于 2025-3-26 22:14:01
,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.按时间顺序 发表于 2025-3-27 02:02:44
http://reply.papertrans.cn/29/2845/284499/284499_32.png滔滔不绝地讲 发表于 2025-3-27 06:35:27
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,芦笋 发表于 2025-3-27 10:16:21
http://reply.papertrans.cn/29/2845/284499/284499_34.png下边深陷 发表于 2025-3-27 13:40:30
http://reply.papertrans.cn/29/2845/284499/284499_35.pngambivalence 发表于 2025-3-27 20:21:05
,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.坚毅 发表于 2025-3-28 01:35:28
,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.开始从未 发表于 2025-3-28 03:44:58
http://reply.papertrans.cn/29/2845/284499/284499_38.pngMalcontent 发表于 2025-3-28 07:58:12
,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.不自然 发表于 2025-3-28 10:50:28
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