| 2025 | ECAI | FITS: Towards an AI-Driven Fashion Information Tool for Sustainability. | Daphne Theodorakopoulos, Elisabeth Eberling, Miriam Bodenheimer, Sabine Loos, Frederic T. Stahl |
| 2025 | ECMS | On The Location-Independent Reconstruction Of Photosynthetically Active Radiation In The Water Column Using Neural Networks. | Martin Maximilian Kumm, Christoph Tholen, Lars Nolle, Frederic T. Stahl |
| 2025 | ECMS | On The Optimisation Of Machine Learning Models For Predicting The Photosynthetically Available Radiation In The Water Column. | Frederic T. Stahl, Lars Nolle, Martin Maximilian Kumm, Christoph Tholen |
| 2025 | GI | A Digital Twin Paradigm for Data-Driven Monitoring and Management of Lake Ecosystems. | Janina Schneider, Daniel Lukats, Christoph Manss, Frederic T. Stahl |
| 2025 | SGAI | HAD-QC: A Hybrid AI Approach for Automated Quality Control of Argo Float Data. | Shivshankar Aiwale, Frederic T. Stahl, Lily Sun |
| 2025 | SGAI | Global Explanations for Imitation Learning. | Andr Miedtank, Tarek A. El-Mihoub, Axel Hahn, Frederic T. Stahl |
| 2025 | SGAI | Measuring and Comparison of the Energy Consumption of Different Machine Learning Methods. | Christoph Tholen, Carolin Leluschko, Lars Nolle, Frederic T. Stahl |
| 2024 | ECAI | Hyperparameter Importance Analysis for Multi-Objective AutoML. | Daphne Theodorakopoulos, Frederic T. Stahl, Marius Lindauer |
| 2024 | ECMS | Model Generalisation For Predicting The Amount Of Photosynthetically Available Radiation In The Water Column From Freefall Profiler Observations. | Christoph Tholen, Lars Nolle, Jochen Wollschlaeger, Frederic T. Stahl |
| 2024 | SGAI | Interactive Simulator Framework for XAI Applications in Aquatic Environments. | Ahmed H. Elsayed, Tarek A. El-Mihoub, Christoph Manss, Andr Miedtank, Lars Nolle, Frederic T. Stahl |
| 2024 | SGAI | On the Development of a Pixel-Wise Plastic Waste Identification System for Multispectral Remote Sensing Applications. | Christoph Tholen, Eike Rodenbck, Lars Nolle, Robert Rettig, Frederic T. Stahl |
| 2023 | SGAI | On Reproducible Implementations in Unsupervised Concept Drift Detection Algorithms Research. | Daniel Lukats, Frederic T. Stahl |
| 2023 | SGAI | On Explanations for Hybrid Artificial Intelligence. | Lars Nolle, Frederic T. Stahl, Tarek A. El-Mihoub |
| 2022 | ECMS | A Model For Predicting The Amount Of Photosynthetically Available Radiation From BGC-ARGO Float Observations In The Water Column. | Frederic T. Stahl, Lars Nolle, Ahlem Jemai, Oliver Zielinski |
| 2022 | SGAI | CRC: Consolidated Rules Construction for Expressive Ensemble Classification. | Manal Almutairi, Frederic T. Stahl, Max Bramer |
| 2022 | SGAI | Explainable Boosting Machines for Network Intrusion Detection with Features Reduction. | Tarek A. El-Mihoub, Lars Nolle, Frederic T. Stahl |
| 2022 | SGAI | On an Artificial Neural Network Approach for Predicting Photosynthetically Active Radiation in the Water Column. | Martin M. Kumm, Lars Nolle, Frederic T. Stahl, Ahlem Jemai, Oliver Zielinski |
| 2022 | SIN | Multi-Phase Algorithmic Framework to Prevent SQL Injection Attacks using Improved Machine learning and Deep learning to Enhance Database security in Real-time. | Ahmed Abadulla Ashlam, Atta Badii, Frederic T. Stahl |
| 2021 | ECMS | Towards Intrusion Detection Of Previously Unknown Network Attacks. | Saif Alzubi, Frederic T. Stahl, Mohamed Medhat Gaber |
| 2021 | SGAI | AI Enabled Bio Waste Contamination-Scanner. | Frederic T. Stahl, Oliver Ferdinand, Lars Nolle, Alexandra Pehlken, Oliver Zielinski |
| 2019 | ICDM | A Rule Induction Approach to Forecasting Critical Alarms in a Telecommunication Network. | Chris Wrench, Frederic T. Stahl, Giuseppe Di Fatta, Vidhyalakshmi Karthikeyan, Detlef D. Nauck |
| 2018 | ICMLA | A Rule-Based Classifier with Accurate and Fast Rule Term Induction for Continuous Attributes. | Manal Almutairi, Frederic T. Stahl, Max Bramer |
| 2017 | SGAI | Improving Modular Classification Rule Induction with G-Prism Using Dynamic Rule Term Boundaries. | Manal Almutairi, Frederic T. Stahl, Max Bramer |
| 2016 | ECAI | Towards Online Concept Drift Detection with Feature Selection for Data Stream Classification. | Mahmood Hammoodi, Frederic T. Stahl, Mark Tennant |
| 2016 | ICMLA | A Statistical Learning Method to Fast Generalised Rule Induction Directly from Raw Measurements. | Thien Le, Frederic T. Stahl, Chris Wrench, Mohamed Medhat Gaber |
| 2016 | SGAI | Towards Expressive Modular Rule Induction for Numerical Attributes. | Manal Almutairi, Frederic T. Stahl, Mathew Jennings, Thien Le, Max Bramer |
| 2016 | SGAI | A Method of Rule Induction for Predicting and Describing Future Alarms in a Telecommunication Network. | Chris Wrench, Frederic T. Stahl, Thien Le, Giuseppe Di Fatta, Vidhyalakshmi Karthikeyan, Detlef D. Nauck |
| 2015 | SGAI | Towards Expressive Rule Induction on IP Network Event Streams. | Chris Wrench, Frederic T. Stahl, Giuseppe Di Fatta, Vidhyalakshmi Karthikeyan, Detlef D. Nauck |
| 2014 | EANN | Categorization and Construction of Rule Based Systems. | Han Liu, Alexander E. Gegov, Frederic T. Stahl |
| 2014 | ICMLA | Extraction of Unexpected Rules from Twitter Hashtags and its Application to Sport Events. | Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Carlos J. Martn-Dancausa, Frederic T. Stahl |
| 2014 | SGAI | Computationally Efficient Rule-Based Classification for Continuous Streaming Data. | Thien Le, Frederic T. Stahl, Joo Brtolo Gomes, Mohamed Medhat Gaber, Giuseppe Di Fatta |
| 2014 | SGAI | Towards a Parallel Computationally Efficient Approach to Scaling Up Data Stream Classification. | Mark Tennant, Frederic T. Stahl, Giuseppe Di Fatta, Joo Brtolo Gomes |
| 2013 | ICAISC | TRCM: A Methodology for Temporal Analysis of Evolving Concepts in Twitter. | Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Frederic T. Stahl |
| 2013 | SGAI | Rule Type Identification Using TRCM for Trend Analysis in Twitter. | Joo Brtolo Gomes, Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Frederic T. Stahl |
| 2013 | SGAI | Efficient Interactive Budget Planning and Adjusting Under Financial Stress. | Peter Rausch, Frederic T. Stahl, Michael Stumpf |
| 2012 | SGAI | eRules: A Modular Adaptive Classification Rule Learning Algorithm for Data Streams. | Frederic T. Stahl, Mohamed Medhat Gaber, Manuel Martin Salvador |
| 2012 | SGAI | Parallel Random Prism: A Computationally Efficient Ensemble Learner for Classification. | Frederic T. Stahl, David May, Max Bramer |
| 2011 | ISMIS | Distributed Classification for Pocket Data Mining. | Frederic T. Stahl, Mohamed Medhat Gaber, Han Liu, Max Bramer, Philip S. Yu |
| 2011 | SGAI | Random Prism: An Alternative to Random Forests. | Frederic T. Stahl, Max Bramer |
| 2010 | ICTAI | Pocket Data Mining: Towards Collaborative Data Mining in Mobile Computing Environments. | Frederic T. Stahl, Mohamed Medhat Gaber, Max Bramer, Philip S. Yu |
| 2010 | SGAI | Induction of Modular Classification Rules: Using Jmax-pruning. | Frederic T. Stahl, Max Bramer |
| 2009 | SGAI | Parallel Rule Induction with Information Theoretic Pre-Pruning. | Frederic T. Stahl, Max Bramer, Mo Adda |
| 2008 | ICCS | Grid Computing Solutions for Distributed Repositories of Protein Folding and Unfolding Simulations. | Martin T. Swain, Vitaliy Ostropytskyy, Cndida G. Silva, Frederic T. Stahl, Olivier Riche, Rui M. M. Brito, Werner Dubitzky |
| 2008 | SGAI | Parallel Induction of Modular Classification Rules. | Frederic T. Stahl, Max Bramer, Mo Adda |
| 2007 | SGAI | Towards a Computationally Efficient Approach to Modular Classification Rule Induction. | Frederic T. Stahl, Max Bramer |
| 2005 | CCGRID | Grid warehousing of molecular dynamics protein unfolding data. | Frederic T. Stahl, Daniel P. Berrar, Cndida G. Silva, R. J. Rodrigues, Rui M. M. Brito, Werner Dubitzky |