| 2024 | DSAA | Leveraging Local Data Sampling Strategies to Improve Federated Learning (Extended Abstract). | Christoph Dsing, Philipp Cimiano, Benjamin Paaen |
| 2024 | EDM | Automatic Matchmaking in Two-Versus-Two Sports. | Sren Rttgers, Ulrike Kuhl, Benjamin Paaen |
| 2022 | AIED | Interpretable Knowledge Gain Prediction for Vocational Preparatory E-Learnings. | Benjamin Paaen, Malwina Dywel, Melanie Fleckenstein, Niels Pinkwart |
| 2022 | EDM | Sparse Factor Autoencoders for Item Response Theory. | Benjamin Paaen, Malwina Dywel, Melanie Fleckenstein, Niels Pinkwart |
| 2022 | EDM | Faster Confidence Intervals for Item Response Theory via an Approximate Likelihood Profile. | Benjamin Paaen, Christina Gpfert, Niels Pinkwart |
| 2022 | EDM | Combining domain modelling and student modelling techniques in a single automated pipeline. | Gio Picones, Benjamin Paaen, Irena Koprinska, Kalina Yacef |
| 2021 | EDM | Analyzing Student Success and Mistakes in Virtual Microscope Structure Search Tasks. | Benjamin Paaen, Andreas Bertsch, Katharina Langer-Fischer, Sylvio Rdian, Xia Wang, Rupali Sinha, Jakub Kuzilek, Stefan Britsch, Niels Pinkwart |
| 2021 | EDM | ast2vec: Utilizing Recursive Neural Encodings of Python Programs. | Benjamin Paaen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef |
| 2021 | EDM | Next Steps for Next-step Hints: Lessons Learned from Teacher Evaluations of Automatic Programming Hints (Full Paper). | Benjamin Paaen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef |
| 2021 | SISAP | An A*-algorithm for the Unordered Tree Edit Distance with Custom Costs. | Benjamin Paaen |
| 2019 | ESANN | Dynamic fairness - Breaking vicious cycles in automatic decision making. | Benjamin Paaen, Astrid Bunge, Carolin Hainke, Leon Sindelar, Matthias Vogelsang |
| 2019 | ESANN | Embeddings and Representation Learning for Structured Data. | Benjamin Paaen, Claudio Gallicchio, Alessio Micheli, Alessandro Sperduti |
| 2019 | IDEAL | Adversarial Edit Attacks for Tree Data. | Benjamin Paaen |
| 2018 | ICML | Tree Edit Distance Learning via Adaptive Symbol Embeddings. | Benjamin Paaen, Claudio Gallicchio, Alessio Micheli, Barbara Hammer |
| 2017 | AIME | Echo State Networks as Novel Approach for Low-Cost Myoelectric Control. | Cosima Prahm, Alexander Schulz, Benjamin Paaen, Oskar Aszmann, Barbara Hammer, Georg Dorffner |
| 2016 | EDM | Execution Traces as a Powerful Data Representation for Intelligent Tutoring Systems for Programming. | Benjamin Paaen, Joris Jensen, Barbara Hammer |
| 2015 | EDM | A Toolbox for Adaptive Sequence Dissimilarity Measures for Intelligent Tutoring Systems. | Benjamin Paaen, Bassam Mokbel, Barbara Hammer |
| 2014 | ESANN | Adaptive distance measures for sequential data. | Bassam Mokbel, Benjamin Paaen, Barbara Hammer |
| 2014 | ICANN | Efficient Adaptation of Structure Metrics in Prototype-Based Classification. | Bassam Mokbel, Benjamin Paaen, Barbara Hammer |
| 2013 | EDM | Domain-Independent Proximity Measures in Intelligent Tutoring Systems. | Bassam Mokbel, Sebastian Gross, Benjamin Paaen, Niels Pinkwart, Barbara Hammer |