| 2025 | KES | Local Embedding Consensus Across Multiple Descriptor Spaces. | Lea Eileen Brauner, Frank Hppner |
| 2023 | ECAI | Enhancing Computer Science Education by Automated Analysis of Students' Code Submissions. | Lea Eileen Brauner, Frank Hppner |
| 2022 | EDM | Is there Method in Your Mistakes? Capturing Error Contexts by Graph Mining for Targeted Feedback. | Maximilian Jahnke, Frank Hppner |
| 2021 | EDM | Grouping Source Code by Solution Approaches - Improving Feedback in Programming Courses. | Frank Hppner |
| 2020 | IDA | Enriched Weisfeiler-Lehman Kernel for Improved Graph Clustering of Source Code. | Frank Hppner, Maximilian Jahnke |
| 2020 | KES | Multidimensional Decision Tree Splits to Improve Interpretability. | Frank Hppner |
| 2019 | ITiCSE | Measuring Instruction Comprehension by Mining Memory Traces for Early Formative Feedback in Java Courses. | Frank Hppner |
| 2016 | IDA | Visual Perception of Discriminative Landmarks in Classified Time Series. | Tobias Sobek, Frank Hppner |
| 2015 | IDEAL | Optimal Filtering for Time Series Classification. | Frank Hppner |
| 2014 | IDA | Finding the Intrinsic Patterns in a Collection of Time Series. | Anke Schweier, Frank Hppner |
| 2014 | SDM | Less is More: Similarity of Time Series under Linear Transformations. | Frank Hppner |
| 2014 | SSDBM | A subspace filter supporting the discovery of small clusters in very noisy datasets. | Frank Hppner |
| 2013 | SGAI | Pattern Graphs: Combining Multivariate Time Series and Labelled Interval Sequences for Classification. | Sebastian Peter, Frank Hppner, Michael R. Berthold |
| 2012 | IDA | Learning Pattern Graphs for Multivariate Temporal Pattern Retrieval. | Sebastian Peter, Frank Hppner, Michael R. Berthold |
| 2011 | IDA | An Alternative to ROC and AUC Analysis of Classifiers. | Frank Klawonn, Frank Hppner, Sigrun May |
| 2010 | KES | Finding Temporal Patterns Using Constraints on (Partial) Absence, Presence and Duration. | Sebastian Peter, Frank Hppner |
| 2009 | IDA | Compensation of Translational Displacement in Time Series Clustering Using Cross Correlation. | Frank Hppner, Frank Klawonn |
| 2007 | IDA | Landscape Multidimensional Scaling. | Katharina Tschumitschew, Frank Klawonn, Frank Hppner, Vitaliy Kolodyazhniy |
| 2007 | IDEAL | Classification Based on the Trace of Variables over Time. | Frank Hppner, Alexander Topp |
| 2006 | KES | Equi-sized, Homogeneous Partitioning. | Frank Klawonn, Frank Hppner |
| 2003 | EUSFLAT | An alternative approach to the fuzzifier in fuzzy clustering to obtain better clustering. | Frank Klawonn, Frank Hppner |
| 2003 | IDA | What Is Fuzzy about Fuzzy Clustering? Understanding and Improving the Concept of the Fuzzifier. | Frank Klawonn, Frank Hppner |
| 2002 | DIS | Handling Feature Ambiguity in Knowledge Discovery from Time Series. | Frank Hppner |
| 2002 | GI | Time Series Abstraction Methods - A Survey. | Frank Hppner |
| 2001 | IDA | Finding Informative Rules in Interval Sequences. | Frank Hppner, Frank Klawonn |
| 2000 | KES | Obtaining interpretable fuzzy models from fuzzy clustering and fuzzy regression. | Frank Hppner, Frank Klawonn |