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: Engineering Applications of Neural Networks; 24th International C Lazaros Iliadis,Ilias Maglogiannis,Elias Pimenidis Conference proceedings

[復(fù)制鏈接]
樓主: endocarditis
31#
發(fā)表于 2025-3-26 21:11:28 | 只看該作者
Engineering Applications of Neural Networks978-3-031-34204-2Series ISSN 1865-0929 Series E-ISSN 1865-0937
32#
發(fā)表于 2025-3-27 02:44:45 | 只看該作者
33#
發(fā)表于 2025-3-27 07:47:32 | 只看該作者
Computational Ethology: Short Review of?Current Sensors and?Artificial Intelligence Based Methods enhanced capabilities to interpret experimental data in order to extract accurate ethograms allowing the comparison of animal models with high discriminative power. In this short review we introduce the most recent software tools that employ AI tools for this endeavor, including the popular deep le
34#
發(fā)表于 2025-3-27 10:23:48 | 只看該作者
35#
發(fā)表于 2025-3-27 15:33:51 | 只看該作者
Towards Improved User Experience for Artificial Intelligence Systemsudy was conducted for the OMA-ML platform as an example. OMA-ML is an AutoML platform that automates complex tasks in machine learning (ML) and generates ML pipelines. The usability of OMA-ML was measured against the ISO 9241-110:2020 standard in an expert evaluation. The vulnerabilities with the gr
36#
發(fā)表于 2025-3-27 18:07:42 | 只看該作者
A Critical Analysis of?Classifier Selection in?Learned Bloom Filters: The Essentialsrue when considering Learned Bloom Filters. In this work we analyze how the performance of such learned data structures is impacted by the classifier chosen to build the filter and by the complexity of the dataset used in the training phase. Such analysis, which has not been proposed so far in the l
37#
發(fā)表于 2025-3-27 22:38:53 | 只看該作者
38#
發(fā)表于 2025-3-28 02:48:46 | 只看該作者
39#
發(fā)表于 2025-3-28 07:49:33 | 只看該作者
40#
發(fā)表于 2025-3-28 12:30:31 | 只看該作者
 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(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-19 16:59
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(fù) 返回頂部 返回列表
海丰县| 洪泽县| 江北区| 宁阳县| 义乌市| 柳江县| 南充市| 新晃| 乐至县| 沈丘县| 修水县| 武宁县| 江达县| 长垣县| 讷河市| 旬阳县| 高雄县| 宜君县| 磐石市| 平乐县| 禄劝| 乌海市| 耒阳市| 合肥市| 淮北市| 贞丰县| 区。| 黔南| 大洼县| 彩票| 靖远县| 商城县| 龙井市| 苍梧县| 文成县| 凉城县| 九龙坡区| 泸西县| 从江县| 镇康县| 霸州市|