| 2026 | ESANN | Reliable Counterfactuals for Machine Learning Models - Current Aspects and Perspectives. | Marika Kaden, Benjamin Paassen, Barbara Hammer, Ronny Schubert, Thomas Villmann |
| 2026 | ESANN | Adversarial Robustness by Combining Prototype Models with Lipschitz Training. | Benjamin Paassen, Adia Khalid |
| 2026 | ESANN | Beyond Performance: Comprehensive Evaluation Strategies for Impactful Machine Learning. | Valerie Vaquet, Ulrike Kuhl, Sasa Brdnik, Benjamin Paassen |
| 2025 | AIED | SCRIPT: Implementing an Intelligent Tutoring System for Programming in a German University Context. | Alina Deriyeva, Jesper Dannath, Benjamin Paassen |
| 2025 | EDM | What is a Step? A User Study on How to Sub-divide the Solution Process of Introductory Python Tasks. | Jesper Dannath, Alina Deriyeva, Benjamin Paassen |
| 2025 | ESANN | Linear Domain Adaptation for Robustness to Electrode Shifts. | Rui Liu, Benjamin Paassen |
| 2025 | NAACL | Mitigating Bias in Item Retrieval for Enhancing Exam Assembly in Vocational Education Services. | Alonso Palomino, Andreas Fischer, David Buschhter, Roland Roller, Niels Pinkwart, Benjamin Paassen |
| 2025 | RANLP | Benchmarking Item Difficulty Classification in German Vocational Education and Training. | Alonso Palomino, Benjamin Paassen |
| 2024 | EMNLP | Fine-Grained Detection of Solidarity for Women and Migrants in 155 Years of German Parliamentary Debates. | Aida Kostikova, Dominik Beese, Benjamin Paassen, Ole Ptz, Gregor Wiedemann, Steffen Eger |
| 2024 | ESANN | Few-shot similarity learning for motion classification via electromyography. | Rui Liu, Benjamin Paassen |
| 2024 | ESANN | Tumor Grading via Decorrelated Sparse Survival Regression. | Benjamin Paassen, Nadine T. Gaisa, Michael Rose, Mark-Sebastian Bsherz |
| 2024 | NAACL | EdTec-QBuilder: A Semantic Retrieval Tool for Assembling Vocational Training Exams in German Language. | Alonso Palomino, Andreas Fischer, Jakub Kuzilek, Jarek Nitsch, Niels Pinkwart, Benjamin Paassen |
| 2021 | ACE | Progress Networks as a Tool for Analysing Student Programming Difficulties. | Jessica McBroom, Benjamin Paassen, Bryn Jeffries, Irena Koprinska, Kalina Yacef |
| 2021 | EDM | Modeling Creativity in Visual Programming: From Theory to Practice. | Anastasia Kovalkov, Benjamin Paassen, Avi Segal, Kobi Gal, Niels Pinkwart |
| 2021 | ESANN | Deep learning for graphs. | Davide Bacciu, Filippo Maria Bianchi, Benjamin Paassen, Cesare Alippi |
| 2021 | ICLR | Graph Edit Networks. | Benjamin Paassen, Daniele Grattarola, Daniele Zambon, Cesare Alippi, Barbara Hammer |
| 2020 | ESANN | Reservoir memory machines. | Benjamin Paassen, Alexander Schulz |
| 2020 | IJCNN | Tree Echo State Autoencoders with Grammars. | Benjamin Paassen, Irena Koprinska, Kalina Yacef |
| 2017 | ESANN | An EM transfer learning algorithm with applications in bionic hand prostheses. | Benjamin Paassen, Alexander Schulz, Janne Hahne, Barbara Hammer |
| 2016 | ESANN | Gaussian process prediction for time series of structured data. | Benjamin Paassen, Christina Gpfert, Barbara Hammer |
| 2016 | ICANN | Convergence of Multi-pass Large Margin Nearest Neighbor Metric Learning. | Christina Gpfert, Benjamin Paassen, Barbara Hammer |
| 2016 | ICANN | Local Reject Option for Deterministic Multi-class SVM. | Johannes Kummert, Benjamin Paassen, Joris Jensen, Christina Gpfert, Barbara Hammer |
| 2015 | ESANN | Adaptive structure metrics for automated feedback provision in Java programming. | Benjamin Paassen, Bassam Mokbel, Barbara Hammer |