Frederic T. Stahl

90 papers A 3B 1C 11Journal 28Unranked 40
YearRankTypeTitle / Venue / Authors
2026 — ed.
Artificial Intelligence XLII - 45th SGAI International Conference on Artificial Intelligence, AI 2025, Cambridge, UK, December 16-18, 2025, Proceedings, Part I
AI (1)
Max Bramer, Frederic T. Stahl
2026 — ed.
Artificial Intelligence XLII - 45th SGAI International Conference on Artificial Intelligence, AI 2025, Cambridge, UK, December 16-18, 2025, Proceedings, Part II
AI (2)
Max Bramer, Frederic T. Stahl
2026 J jnl
Towards Robotic Lake Maintenance: Integrating SONAR and Satellite Data to Assist Human Operators.
CoRR
Ahmed H. Elsayed, Christoph Manss, Tarek A. El-Mihoub, Andrej Lejman, Frederic T. Stahl
2025 — conf
A Digital Twin Paradigm for Data-Driven Monitoring and Management of Lake Ecosystems.
INFORMATIK
Janina Schneider, Daniel Lukats, Christoph Manss, Frederic T. Stahl
2025 J jnl
A benchmark and survey of fully unsupervised concept drift detectors on real-world data streams.
Int. J. Data Sci. Anal.
Daniel Lukats, Oliver Zielinski, Axel Hahn, Frederic T. Stahl
2025 — ed.
Artificial Intelligence XLI - 44th SGAI International Conference on Artificial Intelligence, AI 2024, Cambridge, UK, December 17-19, 2024, Proceedings, Part I
SGAI Conf. (1)
Max Bramer, Frederic T. Stahl
2025 — ed.
Artificial Intelligence XLI - 44th SGAI International Conference on Artificial Intelligence, AI 2024, Cambridge, UK, December 17-19, 2024, Proceedings, Part II
SGAI Conf. (2)
Max Bramer, Frederic T. Stahl
2025 — conf
Evaluation of Aquatic Plant Detection with Remote Sensing Using Onboard Camera.
EUVIP
Eike Rodenbäck, Christoph Manss, Janina Schneider, Frederic T. Stahl
2025 A conf
FITS: Towards an AI-Driven Fashion Information Tool for Sustainability.
ECAI
Daphne Theodorakopoulos, Elisabeth Eberling, Miriam Bodenheimer, Sabine Loos, Frederic T. Stahl
2025 J jnl
FITS: Towards an AI-Driven Fashion Information Tool for Sustainability.
CoRR
Daphne Theodorakopoulos, Elisabeth Eberling, Miriam Bodenheimer, Sabine Loos, Frederic T. Stahl
2025 — conf
Global Explanations for Imitation Learning.
AI (1)
André Miedtank, Tarek A. El-Mihoub, Axel Hahn, Frederic T. Stahl
2025 — conf
HAD-QC: A Hybrid AI Approach for Automated Quality Control of Argo Float Data.
AI (2)
Shivshankar Aiwale, Frederic T. Stahl, Lily Sun
2025 — conf
Measuring and Comparison of the Energy Consumption of Different Machine Learning Methods.
AI (1)
Christoph Tholen, Carolin Leluschko, Lars Nolle, Frederic T. Stahl
2025 J jnl
Multi-Resolution Remote Sensing Dataset for the Detection of Anthropogenic Litter: A Multi-Platform and Multi-Sensor Approach.
Data
Robert Rettig, Felix Becker, Alexander Berghoff, Tobias Binkele, Wolfram Michael Butter, Tilman Floehr, Martin Kumm, Carolin Leluschko, Florian Littau, Elmar Reinders, Eike Rodenbäck, Tobias Schmid, Sabine Schründer, Sören Schweigert, Michael Sinhuber, Jens Wellhausen, Frederic T. Stahl, Christoph Tholen
2025 C conf
On The Location-Independent Reconstruction Of Photosynthetically Active Radiation In The Water Column Using Neural Networks.
ECMS
Martin Maximilian Kumm, Christoph Tholen, Lars Nolle, Frederic T. Stahl
2025 C conf
On The Optimisation Of Machine Learning Models For Predicting The Photosynthetically Available Radiation In The Water Column.
ECMS
Frederic T. Stahl, Lars Nolle, Martin Maximilian Kumm, Christoph Tholen
2024 J jnl
Human-Robot Collaboration System Setup for Weed Harvesting Scenarios in Aquatic Lakes.
CoRR
Ahmed H. Elsayed, Andrej Lejman, Frederic T. Stahl
2024 A conf
Hyperparameter Importance Analysis for Multi-Objective AutoML.
ECAI
Daphne Theodorakopoulos, Frederic T. Stahl, Marius Lindauer
2024 J jnl
Hyperparameter Importance Analysis for Multi-Objective AutoML.
CoRR
Daphne Theodorakopoulos, Frederic T. Stahl, Marius Lindauer
2024 — conf
Interactive Simulator Framework for XAI Applications in Aquatic Environments.
SGAI Conf. (1)
Ahmed H. Elsayed, Tarek A. El-Mihoub, Christoph Manss, André Miedtank, Lars Nolle, Frederic T. Stahl
2024 C conf
Model Generalisation For Predicting The Amount Of Photosynthetically Available Radiation In The Water Column From Freefall Profiler Observations.
ECMS
Christoph Tholen, Lars Nolle, Jochen Wollschlaeger, Frederic T. Stahl
2024 — conf
On the Development of a Pixel-Wise Plastic Waste Identification System for Multispectral Remote Sensing Applications.
SGAI Conf. (1)
Christoph Tholen, Eike Rodenbäck, Lars Nolle, Robert Rettig, Frederic T. Stahl
2023 — ed.
Artificial Intelligence XL - 43rd SGAI International Conference on Artificial Intelligence, AI 2023, Cambridge, UK, December 12-14, 2023, Proceedings
SGAI Conf.
Max Bramer, Frederic T. Stahl
2023 — conf
On Explanations for Hybrid Artificial Intelligence.
SGAI Conf.
Lars Nolle, Frederic T. Stahl, Tarek A. El-Mihoub
2023 — conf
On Reproducible Implementations in Unsupervised Concept Drift Detection Algorithms Research.
SGAI Conf.
Daniel Lukats, Frederic T. Stahl
2022 C conf
A Model For Predicting The Amount Of Photosynthetically Available Radiation From BGC-ARGO Float Observations In The Water Column.
ECMS
Frederic T. Stahl, Lars Nolle, Ahlem Jemai, Oliver Zielinski
2022 J jnl
Adaptive Learning With Extreme Verification Latency in Non-Stationary Environments.
IEEE Access
Mobin M. Idrees, Frederic T. Stahl, Atta Badii
2022 — ed.
Artificial Intelligence XXXIX - 42nd SGAI International Conference on Artificial Intelligence, AI 2022, Cambridge, UK, December 13-15, 2022, Proceedings
SGAI Conf.
Max Bramer, Frederic T. Stahl
2022 — conf
CRC: Consolidated Rules Construction for Expressive Ensemble Classification.
SGAI Conf.
Manal Almutairi, Frederic T. Stahl, Max Bramer
2022 — conf
Explainable Boosting Machines for Network Intrusion Detection with Features Reduction.
SGAI Conf.
Tarek A. El-Mihoub, Lars Nolle, Frederic T. Stahl
2022 C conf
Multi-Phase Algorithmic Framework to Prevent SQL Injection Attacks using Improved Machine learning and Deep learning to Enhance Database security in Real-time.
SIN
Ahmed Abadulla Ashlam, Atta Badii, Frederic T. Stahl
2022 — conf
On an Artificial Neural Network Approach for Predicting Photosynthetically Active Radiation in the Water Column.
SGAI Conf.
Martin M. Kumm, Lars Nolle, Frederic T. Stahl, Ahlem Jemai, Oliver Zielinski
2022 — conf
Road Intersection Coordination Scheme for Mixed Traffic (Human Driven and Driver-Less Vehicles): A Systematic Review.
SAI (3)
Ekene Frank Ozioko, Julian M. Kunkel, Frederic T. Stahl
2022 — conf
Speed Harmonisation Strategy for Human-Driven and Autonomous Vehicles Co-existence.
SAI (3)
Ekene Frank Ozioko, Julian M. Kunkel, Frederic T. Stahl
2021 J jnl
A Frequent Pattern Conjunction Heuristic for Rule Generation in Data Streams.
Inf.
Frederic T. Stahl, Thien Le, Atta Badii, Mohamed Medhat Gaber
2021 — conf
AI Enabled Bio Waste Contamination-Scanner.
SGAI Conf.
Frederic T. Stahl, Oliver Ferdinand, Lars Nolle, Alexandra Pehlken, Oliver Zielinski
2021 J jnl
Mapping the Big Data Landscape: Technologies, Platforms and Paradigms for Real-Time Analytics of Data Streams.
IEEE Access
Timothée Dubuc, Frederic T. Stahl, Etienne B. Roesch
2021 J jnl
ReG-Rules: An Explainable Rule-Based Ensemble Learner for Classification.
IEEE Access
Manal Almutairi, Frederic T. Stahl, Max Bramer
2021 C conf
Towards Intrusion Detection Of Previously Unknown Network Attacks.
ECMS
Saif Alzubi, Frederic T. Stahl, Mohamed Medhat Gaber
2020 J jnl
A heterogeneous online learning ensemble for non-stationary environments.
Knowl. Based Syst.
Mobin M. Idrees, Leandro L. Minku, Frederic T. Stahl, Atta Badii
2019 — conf
A Rule Induction Approach to Forecasting Critical Alarms in a Telecommunication Network.
ICDM Workshops
Chris Wrench, Frederic T. Stahl, Giuseppe Di Fatta, Vidhyalakshmi Karthikeyan, Detlef D. Nauck
2018 C conf
A Rule-Based Classifier with Accurate and Fast Rule Term Induction for Continuous Attributes.
ICMLA
Manal Almutairi, Frederic T. Stahl, Max Bramer
2018 J jnl
Real-time feature selection technique with concept drift detection using adaptive micro-clusters for data stream mining.
Knowl. Based Syst.
Mahmood Hammoodi, Frederic T. Stahl, Atta Badii
2017 — conf
Improving Modular Classification Rule Induction with G-Prism Using Dynamic Rule Term Boundaries.
SGAI Conf.
Manal Almutairi, Frederic T. Stahl, Max Bramer
2017 J jnl
On expressiveness and uncertainty awareness in rule-based classification for data streams.
Neurocomputing
Thien Le, Frederic T. Stahl, Mohamed Medhat Gaber, João Bártolo Gomes, Giuseppe Di Fatta
2017 J jnl
Scalable real-time classification of data streams with concept drift.
Future Gener. Comput. Syst.
Mark Tennant, Frederic T. Stahl, Omer F. Rana, João Bártolo Gomes
2016 — conf
A Method of Rule Induction for Predicting and Describing Future Alarms in a Telecommunication Network.
SGAI Conf.
Chris Wrench, Frederic T. Stahl, Thien Le, Giuseppe Di Fatta, Vidhyalakshmi Karthikeyan, Detlef D. Nauck
2016 C conf
A Statistical Learning Method to Fast Generalised Rule Induction Directly from Raw Measurements.
ICMLA
Thien Le, Frederic T. Stahl, Chris Wrench, Mohamed Medhat Gaber
2016 J jnl
A rule dynamics approach to event detection in Twitter with its application to sports and politics.
Expert Syst. Appl.
Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Carlos J. Martín-Dancausa, Frederic T. Stahl, João Bártolo Gomes
2016 — conf
Towards Expressive Modular Rule Induction for Numerical Attributes.
SGAI Conf.
Manal Almutairi, Frederic T. Stahl, Mathew Jennings, Thien Le, Max Bramer
2016 A conf
Towards Online Concept Drift Detection with Feature Selection for Data Stream Classification.
ECAI
Mahmood Hammoodi, Frederic T. Stahl, Mark Tennant
2015 J jnl
A Scalable Expressive Ensemble Learning Using Random Prism: A MapReduce Approach.
Trans. Large Scale Data Knowl. Centered Syst.
Frederic T. Stahl, David May, Hugo Mills, Max Bramer, Mohamed Medhat Gaber
2015 — conf
Fast Adaptive Real-Time Classification for Data Streams with Concept Drift.
IDCS
Mark Tennant, Frederic T. Stahl, João Bártolo Gomes
2015 — ed.
Internet and Distributed Computing Systems - 8th International Conference, IDCS 2015, Windsor, UK, September 2-4, 2015. Proceedings
IDCS
Giuseppe Di Fatta, Giancarlo Fortino, Wenfeng Li, Mukaddim Pathan, Frederic T. Stahl, Antonio Guerrieri
2015 — conf
Optimisation Techniques for Parallel K-Means on MapReduce.
IDCS
Sami A. Al Ghamdi, Giuseppe Di Fatta, Frederic T. Stahl
2015 — conf
Towards Expressive Rule Induction on IP Network Event Streams.
SGAI Conf.
Chris Wrench, Frederic T. Stahl, Giuseppe Di Fatta, Vidhyalakshmi Karthikeyan, Detlef D. Nauck
2015 J jnl
Towards cost-sensitive adaptation: When is it worth updating your predictive model?
Neurocomputing
Indre Zliobaite, Marcin Budka, Frederic T. Stahl
2014 J jnl
A Survey of Data Mining Techniques for Social Media Analysis.
J. Data Min. Digit. Humanit.
Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Frederic T. Stahl
2014 C conf
Categorization and Construction of Rule Based Systems.
EANN
Han Liu, Alexander E. Gegov, Frederic T. Stahl
2014 — conf
Computationally Efficient Rule-Based Classification for Continuous Streaming Data.
SGAI Conf.
Thien Le, Frederic T. Stahl, João Bártolo Gomes, Mohamed Medhat Gaber, Giuseppe Di Fatta
2014 J jnl
Data stream mining in ubiquitous environments: state-of-the-art and current directions.
WIREs Data Mining Knowl. Discov.
Mohamed Medhat Gaber, João Gama, Shonali Krishnaswamy, João Bártolo Gomes, Frederic T. Stahl
2014 C conf
Extraction of Unexpected Rules from Twitter Hashtags and its Application to Sport Events.
ICMLA
Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Carlos J. Martín-Dancausa, Frederic T. Stahl
2014 J jnl
Random Prism: a noise-tolerant alternative to Random Forests.
Expert Syst. J. Knowl. Eng.
Frederic T. Stahl, Max Bramer
2014 — conf
Towards a Parallel Computationally Efficient Approach to Scaling Up Data Stream Classification.
SGAI Conf.
Mark Tennant, Frederic T. Stahl, Giuseppe Di Fatta, João Bártolo Gomes
2013 J jnl
A Survey of Data Mining Techniques for Social Media Analysis.
CoRR
Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Frederic T. Stahl
2013 J jnl
An overview of interactive visual data mining techniques for knowledge discovery.
WIREs Data Mining Knowl. Discov.
Frederic T. Stahl, Bogdan Gabrys, Mohamed Medhat Gaber, Monika Berendsen
2013 — conf
Efficient Interactive Budget Planning and Adjusting Under Financial Stress.
SGAI Conf.
Peter Rausch, Frederic T. Stahl, Michael Stumpf
2013 — conf
Rule Type Identification Using TRCM for Trend Analysis in Twitter.
SGAI Conf.
João Bártolo Gomes, Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Frederic T. Stahl
2013 J jnl
Scaling up classification rule induction through parallel processing.
Knowl. Eng. Rev.
Frederic T. Stahl, Max Bramer
2013 — conf
TRCM: A Methodology for Temporal Analysis of Evolving Concepts in Twitter.
ICAISC (2)
Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Frederic T. Stahl
2012 J jnl
An overview of the use of neural networks for data mining tasks.
WIREs Data Mining Knowl. Discov.
Frederic T. Stahl, Ivan Jordanov
2012 J jnl
Computationally efficient induction of classification rules with the PMCRI and J-PMCRI frameworks.
Knowl. Based Syst.
Frederic T. Stahl, Max Bramer
2012 J jnl
Homogeneous and Heterogeneous Distributed Classification for Pocket Data Mining.
Trans. Large Scale Data Knowl. Centered Syst.
Frederic T. Stahl, Mohamed Medhat Gaber, Paul Aldridge, David May, Han Liu, Max Bramer, Philip S. Yu
2012 J jnl
Jmax-pruning: A facility for the information theoretic pruning of modular classification rules.
Knowl. Based Syst.
Frederic T. Stahl, Max Bramer
2012 — conf
Parallel Random Prism: A Computationally Efficient Ensemble Learner for Classification.
SGAI Conf.
Frederic T. Stahl, David May, Max Bramer
2012 — conf
eRules: A Modular Adaptive Classification Rule Learning Algorithm for Data Streams.
SGAI Conf.
Frederic T. Stahl, Mohamed Medhat Gaber, Manuel Martin Salvador
2011 C conf
Distributed Classification for Pocket Data Mining.
ISMIS
Frederic T. Stahl, Mohamed Medhat Gaber, Han Liu, Max Bramer, Philip S. Yu
2011 — conf
Distributed hoeffding trees for pocket data mining.
HPCS
Frederic T. Stahl, Mohamed Medhat Gaber, Max Bramer, Philip S. Yu
2011 — conf
Random Prism: An Alternative to Random Forests.
SGAI Conf.
Frederic T. Stahl, Max Bramer
2010 — conf
Induction of Modular Classification Rules: Using Jmax-pruning.
SGAI Conf.
Frederic T. Stahl, Max Bramer
2010 — conf
J-PMCRI: A Methodology for Inducing Pre-pruned Modular Classification Rules.
IFIP AI
Frederic T. Stahl, Max Bramer, Mo Adda
2010 J jnl
P-found: Grid-enabling distributed repositories of protein folding and unfolding simulations for data mining.
Future Gener. Comput. Syst.
Martin T. Swain, Cândida G. Silva, Nuno Loureiro-Ferreira, Vitaliy Ostropytskyy, João Brito, Olivier Riche, Frederic T. Stahl, Werner Dubitzky, Rui M. M. Brito
2010 — conf
Pocket Data Mining: Towards Collaborative Data Mining in Mobile Computing Environments.
ICTAI (2)
Frederic T. Stahl, Mohamed Medhat Gaber, Max Bramer, Philip S. Yu
2009 — conf
PMCRI: A Parallel Modular Classification Rule Induction Framework.
MLDM
Frederic T. Stahl, Max A. Bramer, Mo Adda
2009 — conf
Parallel Rule Induction with Information Theoretic Pre-Pruning.
SGAI Conf.
Frederic T. Stahl, Max Bramer, Mo Adda
2008 — conf
Grid Computing Solutions for Distributed Repositories of Protein Folding and Unfolding Simulations.
ICCS (3)
Martin T. Swain, Vitaliy Ostropytskyy, Cândida G. Silva, Frederic T. Stahl, Olivier Riche, Rui M. M. Brito, Werner Dubitzky
2008 — conf
P-Prism: A Computationally Efficient Approach to Scaling up Classification Rule Induction.
IFIP AI
Frederic T. Stahl, Max A. Bramer, Mo Adda
2008 — conf
Parallel Induction of Modular Classification Rules.
SGAI Conf.
Frederic T. Stahl, Max Bramer, Mo Adda
2007 — conf
Towards a Computationally Efficient Approach to Modular Classification Rule Induction.
SGAI Conf.
Frederic T. Stahl, Max Bramer
2005 B conf
Grid warehousing of molecular dynamics protein unfolding data.
CCGRID
Frederic T. Stahl, Daniel P. Berrar, Cândida G. Silva, R. J. Rodrigues, Rui M. M. Brito, Werner Dubitzky