Frederic Stahl

Acting Head of Research Department

Deutsches Forschungszentrum für Künstliche Intelligenz GmbH

Germany

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Frederic Stahl is the Acting Head of the Research Department at Deutsches Forschungszentrum für Künstliche Intelligenz in Germany. His research areas encompass remote sensing, unsupervised learning, cybersecurity, and adaptive learning in non-stationary environments. Recent publications include works on machine learning applications for plastic litter detection and methodologies for real-time analytics of data streams.

Articles (10)

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2025

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2024

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2024

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2022

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2021

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2021

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2021

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2020

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2020

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2020

Collaborators (4)

Nicole Huijts

University of Twente

NETHERLANDS

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Wijnand IJsselsteijn

Eindhoven University of Technology

NETHERLANDS

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Shungu Garaba

Carl von Ossietzky Universität Oldenburg

GERMANY

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Etienne Roesch

Associate Professor of Cognitive Science

University of Reading

UNITED KINGDOM

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Frederic Stahl

Research Interests

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Articles (10)

Multi-Resolution Remote Sensing Dataset for the Detection of Anthropogenic Litter: A Multi-Platform and Multi-Sensor Approach

A benchmark and survey of fully unsupervised concept drift detectors on real-world data streams

We Are Not Equipped to Identify the First Signs of Cyber–Physical Attacks: Emotional Reactions to Cybersecurity Breaches on Domestic Internet of Things Devices

Adaptive Learning With Extreme Verification Latency in Non-Stationary Environments

Mapping the Big Data Landscape: Technologies, Platforms and Paradigms for Real-Time Analytics of Data Streams

A Frequent Pattern Conjunction Heuristic for Rule Generation in Data Streams

ReG-Rules: An Explainable Rule-Based Ensemble Learner for Classification

Machine learning for aquatic plastic litter detection, classification and quantification (APLASTIC-Q)

A heterogeneous online learning ensemble for non-stationary environments

Building adaptive data mining models on streaming data in real-time

Collaborators (4)

Nicole Huijts

Wijnand IJsselsteijn

Shungu Garaba

Etienne Roesch

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