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Frederic Stahl

german research center for artificial intelligence (dfki)

18H-index
117Paper Count
1.2KCitation Count
Published Papers 24
Publication Date
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Detect, Decide, Explain: An Intelligent Framework for Zero-Day Network Attack Detection
errARTIFICIAL INTELLIGENCE XLII, AI 2025, PT II
IF0
err2026-01-01
err0
PREAI
errAlzu, Saif; Stahl, Frederic; Al-Khafajiy, Mohammed
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HAD-QC: A Hybrid AI Approach for Automated Quality Control of Argo Float Data
errARTIFICIAL INTELLIGENCE XLII, AI 2025, PT II
IF0
err2026-01-01
err0
PREAI
errAiwale, Shivshankar; Stahl, Frederic; Sun, Lily
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errSave
Measuring and Comparison of the Energy Consumption of Different Machine Learning Methods
errARTIFICIAL INTELLIGENCE XLII, AI 2025, PT I
IF0
err2026-01-01
err0
PREAI
errTholen, Christoph; Leluschko, Carolin; Nolle, Lars; Stahl, Frederic
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errSave
Global Explanations for Imitation Learning
errARTIFICIAL INTELLIGENCE XLII, AI 2025, PT I
IF0
err2026-01-01
err0
PREAI
errMiedtank, Andre; El-Mihoub, Tarek A.; Hahn, Axel; Stahl, Frederic
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errSave
EyeOnWater Raspberry Pi: a do-it-yourself maker sensor system project to measure and classify natural water colour based on the Forel-Ule scale
errJOURNAL OF SENSORS AND SENSOR SYSTEMS
IF0.7
err2025-10-07
err0
errOAAI
errRussmeier, Nick; Stahl, Frederic; Becker, Felix
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A benchmark and survey of fully unsupervised concept drift detectors on real-world data streams
errINTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS
IF2.8
err2024-08-27
err2
errOAAI
errLukats, Daniel; Zielinski, Oliver; Hahn, Axel; Stahl, Frederic
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Adaptive Learning With Extreme Verification Latency in Non-Stationary Environments
errIEEE ACCESS
IF3.6
err2022-01-01
err1
errOAAI
errIdrees, Mobin M. M.; Stahl, Frederic; Badii, Atta
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errSave
ReG-Rules: An Explainable Rule-Based Ensemble Learner for Classification
errIEEE ACCESS
IF3.6
err2021-01-01
err7
errOAAI
errAlmutairi, Manal; Stahl, Frederic; Bramer, Max
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Mapping the Big Data Landscape: Technologies, Platforms and Paradigms for Real-Time Analytics of Data Streams
errIEEE ACCESS
IF3.6
err2021-01-01
err5
errOAAI
errDubuc, Timothee; Stahl, Frederic; Roesch, Etienne B.
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errSave
Machine learning for aquatic plastic litter detection, classification and quantification (APLASTIC-Q)
errENVIRONMENTAL RESEARCH LETTERS
IF5.6
err2020-11-16
err64
errOAAI
errWolf, Mattis; van den Berg, Katelijn; Garaba, Shungudzemwoyo P.; Gnann, Nina; Sattler, Klaus; Stahl, Frederic; Zielinski, Oliver
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A heterogeneous online learning ensemble for non-stationary environments
errKNOWLEDGE-BASED SYSTEMS
IF7.6
err2020-01-01
err34
errOAAI
errIdrees, Mobin M.; Minku, Leandro L.; Stahl, Frederic; Badii, Atta
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errSave
Real-time feature selection technique with concept drift detection using adaptive micro-clusters for data stream mining
errKNOWLEDGE-BASED SYSTEMS
IF7.6
err2018-12-01
err19
errOAAI
errHammoodi, Mahmood Shakir; Stahl, Frederic; Badii, Atta
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errSave
On expressiveness and uncertainty awareness in rule-based classification for data streams
errNEUROCOMPUTING
IF6.5
err2017-11-01
err17
errOAAI
errLe, Thien; Stahl, Frederic; Gaber, Mohamed Medhat; Gomes, Joao Bartolo; Di Fatta, Giuseppe
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errSave
Scalable real-time classification of data streams with concept drift
errFUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
IF6.1
err2017-10-01
err55
errOAAI
errTennant, Mark; Stahl, Frederic; Rana, Omer; Gomes, Joao Bartolo
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errSave
A rule dynamics approach to event detection in Twitter with its application to sports and politics
errEXPERT SYSTEMS WITH APPLICATIONS
IF7.5
err2016-08-01
err58
errOAAI
errAdedoyin-Olowe, Mariam; Gaber, Mohamed Medhat; Dancausa, Carlos M.; Stahl, Frederic; Gomes, Joao Bartolo
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errSave
Towards cost-sensitive adaptation: When is it worth updating your predictive model?
errNEUROCOMPUTING
IF6.5
err2015-02-01
err27
errOAAI
errZliobaite, Indre; Budka, Marcin; Stahl, Frederic
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errSave
Bigger data for big data: From Twitter to brain-computer interfaces
errBEHAVIORAL AND BRAIN SCIENCES
IF13.7
err2014-02-26
err1
errOAAI
errRoesch, Etienne B.; Stahl, Frederic; Gaber, Mohamed Medhat
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errSave
Data stream mining in ubiquitous environments: state-of-the-art and current directions
errWILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY
IF11.7
err2014-02-24
err32
errOAAI
errGaber, Mohamed Medhat; Gama, Joao; Krishnaswamy, Shonali; Gomes, Joao Bartolo; Stahl, Frederic
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errSave
An overview of interactive visual data mining techniques for knowledge discovery
errWILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY
IF11.7
err2013-07-09
err9
errOAAI
errStahl, Frederic; Gabrys, Bogdan; Gaber, Mohamed Medhat; Berendsen, Monika
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errSave
Random Prism: a noise-tolerant alternative to Random Forests
errEXPERT SYSTEMS
IF2.3
err2013-06-10
err9
errOAAI
errStahl, Frederic; Bramer, Max
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errSave

Research Directions

No research directions
Co-authors
Cooperation Journals
O
Omer Rana
H-index: 63 · Papers: 838
J
João Gama
H-index: 62 · Papers: 623
K
K. Sattler
H-index: 44 · Papers: 222
M
Mohamed Medhat Gaber
H-index: 41 · Papers: 330
L
Leandro L. Minku
H-index: 36 · Papers: 234
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