logo
科言猫学术研究的AI总结
language
手机端手机端
  • Phone Feature微信小程序
简体中文简体中文
notice消息通知
博客博客
delete
arrow
返回
U

Uwe Serdült

university of zurich

16H指数
125论文数
999被引数
收录论文 6
发表时间
logo
Towards Efficient and Interpretable Machine Learning for Classifying Petition Admissibility: A Case Study of the JOIN Platform面向高效且可解释的机器学习：用于分类请愿可受理性的案例研究——JOIN平台
errELECTRONIC GOVERNMENT, EGOV 2025
IF0
err2026-01-01
err0
PREAI
errWang, Ruihao; Kovacs, Mate; Wang, Olivia; Serdult, Uwe
err分享
err收藏
Benchmarking with a Language Model Initial Selection for Text Classification Tasks使用语言模型进行基准测试文本分类任务的初始选择
errMACHINE LEARNING AND KNOWLEDGE EXTRACTION
IF6
err2025-01-05
err0
errOAAI
errRiyadi, Agus; Kovacs, Mate; Serdult, Uwe; Kryssanov, Victor
err分享
err收藏
IndoGovBERT: A Domain-Specific Language Model for Processing Indonesian Government SDG Documents
errBIG DATA AND COGNITIVE COMPUTING
IF4.4
err2024-11-09
err0
errOAAI
errRiyadi, Agus; Kovacs, Mate; Serdult, Uwe; Kryssanov, Victor
err分享
err收藏
Enhancing the design of voting advice applications with BERT language model用BERT语言模型增强投票建议应用程序的设计
errFRONTIERS IN ARTIFICIAL INTELLIGENCE
IF4.7
err2024-08-06
err0
errOAAI
errBuryakov, Daniil; Kovacs, Mate; Serdult, Uwe; Kryssanov, Victor
err分享
err收藏
A Machine Learning Framework for Balancing Training Sets of Sensor Sequential Data Streams一种用于平衡传感器序列数据流训练集的机器学习框架
errSENSORS
IF3.5
err2021-10-18
err8
errOAAI
errSetiawan, Budi Darma; Serdult, Uwe; Kryssanov, Victor
err分享
err收藏
What drives fidelity to internet voting? Evidence from the roll-out of internet voting in Switzerland
errGOVERNMENT INFORMATION QUARTERLY
IF10
err2017-09-01
err16
errOAAI
errMendez, Fernando; Serduelt, Uwe
err分享
err收藏

研究方向

暂时未获取到该数据
合作学者
合作期刊
F
Fernando Mendez
H 指数: 20 · 论文数: 263
V
Victor V. Kryssanov
H 指数: 10 · 论文数: 124
M
Mate Kovacs
H 指数: 5 · 论文数: 32
A
Agus Riyadi
H 指数: 3 · 论文数: 17
D
Daniil Buryakov
H 指数: 3 · 论文数: 7
查看更多