找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Intelligent Systems; 10th Brazilian Confe André Britto,Karina Valdivia Delgado Conference proceedings 2021 Springer Nature Switzerland AG 2

[復制鏈接]
樓主: Encomium
31#
發(fā)表于 2025-3-26 23:20:03 | 只看該作者
32#
發(fā)表于 2025-3-27 03:30:17 | 只看該作者
Evaluating Topic Models in Portuguese Political Comments About Bills from Brazil’s Chamber of Deputi. We experimentally compared our proposal with other techniques for multilingual sentence embeddings, evaluating them in three topical corpora prepared by us, two of them annotated by a specialist and the other automatically annotated by hashtags.
33#
發(fā)表于 2025-3-27 07:14:01 | 只看該作者
Experiments on Portuguese Clinical Question AnsweringioBERTpt model with a translated version of the SQuAD dataset. The evaluation showed promising results when evaluated in different clinical scenarios, even without the application of a clinical QA corpus to support a training process. The developed model is publicly available to the scientific community.
34#
發(fā)表于 2025-3-27 09:37:07 | 只看該作者
35#
發(fā)表于 2025-3-27 13:58:23 | 只看該作者
36#
發(fā)表于 2025-3-27 19:50:30 | 只看該作者
37#
發(fā)表于 2025-3-27 22:48:58 | 只看該作者
How to Generate Synthetic Paintings to Improve Art Style Classificationf EfficientNet B0, a state of art classifier. To achieve this result, we introduce Class-by-Class Performance Analysis; we also present a modified version of the SAGAN training configuration that allows better control against mode collapse and vanishing gradient in the context of artwork.
38#
發(fā)表于 2025-3-28 04:33:11 | 只看該作者
39#
發(fā)表于 2025-3-28 09:29:24 | 只看該作者
A Heterogeneous Network-Based Positive and Unlabeled Learning Approach to Detect Fake Newsize fake news, such as representative terms, emotiveness, pausality, and average sentence size. Also, we considered two representations of the news to compute similarity: term frequency-inverse document frequency, and Doc2Vec, which creates fixed-sized document representations regardless of its leng
40#
發(fā)表于 2025-3-28 12:19:32 | 只看該作者
Anomaly Detection in Brazilian Federal Government Purchase Cards Through Unsupervised Learning Techn, in particular the network-based approach, can indeed help in the task of monitoring government purchase card expenses, by flagging suspect transactions for further investigation without requiring the presence of a specialist in this process.
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-4 22:11
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復 返回頂部 返回列表
邛崃市| 邯郸县| 西华县| 宣威市| 开原市| 额尔古纳市| 伊川县| 武定县| 建瓯市| 成都市| 固安县| 分宜县| 岳普湖县| 保山市| 南昌市| 兰州市| 呼和浩特市| 北碚区| 乐亭县| 东海县| 含山县| 耒阳市| 罗定市| 金阳县| 石棉县| 永善县| 兴义市| 闽侯县| 科技| 威信县| 闽侯县| 彝良县| 莒南县| 登封市| 清苑县| 新野县| 武强县| 柘荣县| 扎囊县| 宜兴市| 子洲县|