科言猫
学术研究的AI总结
首页
文献互助
订阅
我的收藏
科研工具
选题分析
论文总结
专利管理
未登录
返回
F
Frederic Stahl
german research center for artificial intelligence (dfki)
18
H指数
117
论文数
1.2K
被引数
0
相关解读
订阅
收录论文
24
发表时间
发表时间
IF
被引数
Detect, Decide, Explain: An Intelligent Framework for Zero-Day Network Attack Detection
检测、决策、解释:一种用于零日网络攻击检测的智能框架
ARTIFICIAL INTELLIGENCE XLII, AI 2025, PT II
IF
0
2026-01-01
0
PRE
AI
Alzu, Saif; Stahl, Frederic; Al-Khafajiy, Mohammed
分享
收藏
HAD-QC: A Hybrid AI Approach for Automated Quality Control of Argo Float Data
HAD-QC:一种用于Argo浮标数据自动化质量控制的自混合人工智能方法
ARTIFICIAL INTELLIGENCE XLII, AI 2025, PT II
IF
0
2026-01-01
0
PRE
AI
Aiwale, Shivshankar; Stahl, Frederic; Sun, Lily
分享
收藏
Measuring and Comparison of the Energy Consumption of Different Machine Learning Methods
不同机器学习方法能耗的测量与比较
ARTIFICIAL INTELLIGENCE XLII, AI 2025, PT I
IF
0
2026-01-01
0
PRE
AI
Tholen, Christoph; Leluschko, Carolin; Nolle, Lars; Stahl, Frederic
分享
收藏
Global Explanations for Imitation Learning
模仿学习的全局解释
ARTIFICIAL INTELLIGENCE XLII, AI 2025, PT I
IF
0
2026-01-01
0
PRE
AI
Miedtank, Andre; El-Mihoub, Tarek A.; Hahn, Axel; Stahl, Frederic
分享
收藏
EyeOnWater Raspberry Pi: a do-it-yourself maker sensor system project to measure and classify natural water colour based on the Forel-Ule scale
EyeOnWater树莓派:一个基于Forel-Ule色标测量和分类天然水色的DIY创客传感器系统项目
JOURNAL OF SENSORS AND SENSOR SYSTEMS
IF
0.7
2025-10-07
0
OA
AI
Russmeier, Nick; Stahl, Frederic; Becker, Felix
分享
收藏
A benchmark and survey of fully unsupervised concept drift detectors on real-world data streams
真实世界数据流上完全无监督概念漂移检测器的基准和调查
INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS
IF
2.8
2024-08-27
2
OA
AI
Lukats, Daniel; Zielinski, Oliver; Hahn, Axel; Stahl, Frederic
分享
收藏
Adaptive Learning With Extreme Verification Latency in Non-Stationary Environments
IEEE ACCESS
IF
3.6
2022-01-01
1
OA
AI
Idrees, Mobin M. M.; Stahl, Frederic; Badii, Atta
分享
收藏
ReG-Rules: An Explainable Rule-Based Ensemble Learner for Classification
IEEE ACCESS
IF
3.6
2021-01-01
7
OA
AI
Almutairi, Manal; Stahl, Frederic; Bramer, Max
分享
收藏
Mapping the Big Data Landscape: Technologies, Platforms and Paradigms for Real-Time Analytics of Data Streams
IEEE ACCESS
IF
3.6
2021-01-01
5
OA
AI
Dubuc, Timothee; Stahl, Frederic; Roesch, Etienne B.
分享
收藏
Machine learning for aquatic plastic litter detection, classification and quantification (APLASTIC-Q)
ENVIRONMENTAL RESEARCH LETTERS
IF
5.6
2020-11-16
64
OA
AI
Wolf, Mattis; van den Berg, Katelijn; Garaba, Shungudzemwoyo P.; Gnann, Nina; Sattler, Klaus; Stahl, Frederic; Zielinski, Oliver
分享
收藏
A heterogeneous online learning ensemble for non-stationary environments
KNOWLEDGE-BASED SYSTEMS
IF
7.6
2020-01-01
34
OA
AI
Idrees, Mobin M.; Minku, Leandro L.; Stahl, Frederic; Badii, Atta
分享
收藏
Real-time feature selection technique with concept drift detection using adaptive micro-clusters for data stream mining
基于自适应微簇的数据流概念漂移检测实时特征选择技术
KNOWLEDGE-BASED SYSTEMS
IF
7.6
2018-12-01
19
OA
AI
Hammoodi, Mahmood Shakir; Stahl, Frederic; Badii, Atta
分享
收藏
On expressiveness and uncertainty awareness in rule-based classification for data streams
NEUROCOMPUTING
IF
6.5
2017-11-01
17
OA
AI
Le, Thien; Stahl, Frederic; Gaber, Mohamed Medhat; Gomes, Joao Bartolo; Di Fatta, Giuseppe
分享
收藏
Scalable real-time classification of data streams with concept drift
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
IF
6.1
2017-10-01
55
OA
AI
Tennant, Mark; Stahl, Frederic; Rana, Omer; Gomes, Joao Bartolo
分享
收藏
A rule dynamics approach to event detection in Twitter with its application to sports and politics
EXPERT SYSTEMS WITH APPLICATIONS
IF
7.5
2016-08-01
58
OA
AI
Adedoyin-Olowe, Mariam; Gaber, Mohamed Medhat; Dancausa, Carlos M.; Stahl, Frederic; Gomes, Joao Bartolo
分享
收藏
Towards cost-sensitive adaptation: When is it worth updating your predictive model?
NEUROCOMPUTING
IF
6.5
2015-02-01
27
OA
AI
Zliobaite, Indre; Budka, Marcin; Stahl, Frederic
分享
收藏
Bigger data for big data: From Twitter to brain-computer interfaces
BEHAVIORAL AND BRAIN SCIENCES
IF
13.7
2014-02-26
1
OA
AI
Roesch, Etienne B.; Stahl, Frederic; Gaber, Mohamed Medhat
分享
收藏
Data stream mining in ubiquitous environments: state-of-the-art and current directions
WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY
IF
11.7
2014-02-24
32
OA
AI
Gaber, Mohamed Medhat; Gama, Joao; Krishnaswamy, Shonali; Gomes, Joao Bartolo; Stahl, Frederic
分享
收藏
An overview of interactive visual data mining techniques for knowledge discovery
面向知识发现的交互式可视化数据挖掘技术综述
WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY
IF
11.7
2013-07-09
9
OA
AI
Stahl, Frederic; Gabrys, Bogdan; Gaber, Mohamed Medhat; Berendsen, Monika
分享
收藏
Random Prism: a noise-tolerant alternative to Random Forests
EXPERT SYSTEMS
IF
2.3
2013-06-10
9
OA
AI
Stahl, Frederic; Bramer, Max
分享
收藏
研究方向
暂无研究方向
合作学者
合作期刊
O
Omer Rana
H 指数: 63 · 论文数: 838
J
João Gama
H 指数: 62 · 论文数: 623
K
K. Sattler
H 指数: 44 · 论文数: 222
M
Mohamed Medhat Gaber
H 指数: 41 · 论文数: 330
L
Leandro L. Minku
H 指数: 36 · 论文数: 234
查看更多