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: Service-Oriented Computing; 19th International C Hakim Hacid,Odej Kao,Hye-young Paik Conference proceedings 2021 Springer Nature Switzerlan

[复制链接]
楼主: 恶化
发表于 2025-3-25 03:34:09 | 显示全部楼层
Service-Oriented Computing978-3-030-91431-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
发表于 2025-3-25 08:13:36 | 显示全部楼层
发表于 2025-3-25 14:07:02 | 显示全部楼层
发表于 2025-3-25 18:06:09 | 显示全部楼层
发表于 2025-3-25 23:11:52 | 显示全部楼层
Formalising Solutions to REST API Practices as Design (Anti)Patternsices. We present the most up-to-date list of REST API practices and formalize them in the form of REST API (anti)patterns. We validate our design (anti)patterns with a survey and interviews of 55 developers.
发表于 2025-3-26 01:26:20 | 显示全部楼层
发表于 2025-3-26 05:40:37 | 显示全部楼层
DeepProcess: Supporting Business Process Execution Using a MANN-Based Recommender Systemo take next. Based on recent advances in the field of deep learning, we present a novel memory-augmented neural network (MANN) based approach for constructing a process-aware recommender system. We propose a novel network architecture, namely Write-Protected Dual Controller Memory-Augmented Neural N
发表于 2025-3-26 11:44:40 | 显示全部楼层
Interval-Based Remaining Time Prediction for Business Processesthods only give a precise time as the result, which fails to consider and reveal the uncertainty of ongoing processes. As a novel attempt to add quantified uncertainty into process monitoring, this paper proposes a model that provides comprehensive predictive information. Specifically, an interval-b
发表于 2025-3-26 13:41:14 | 显示全部楼层
Evaluating Stability of Post-hoc Explanations for Business Process Predictionsmplexity of these predictive models, explainable AI techniques are also required to enable informed decision-making. However, few studies evaluate the quality of explanations provided by existing methods to explain business process predictions. In this paper, we attempt to evaluate the consistency o
发表于 2025-3-26 17:10:31 | 显示全部楼层
 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, 2025-5-23 22:31
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