Benjamin Paaßen

67 papers A* 1B 16C 1Misc 1Journal 36Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Interpretable approaches for decorrelated sparse survival regression. Neurocomputing Benjamin Paaßen, Mark-Sebastian Bösherz, Max Jung, Danny Jonigk, Michael Rose, Nadine T. Gaisa
2026	Misc	`ed.`	KI 2025: Advances in Artificial Intelligence - 48th German Conference on AI, Potsdam, Germany, September 16-19, 2025, Proceedings KI Tanya Braun, Benjamin Paaßen, Frieder Stolzenburg
2025	J	`jnl`	Assessing LLM Text Detection in Educational Contexts: Does Human Contribution Affect Detection? CoRR Lukas Gehring, Benjamin Paaßen
2025	J	`jnl`	Healthy Distrust in AI systems. CoRR Benjamin Paaßen, Suzana Alpsancar, Tobias Matzner, Ingrid Scharlau
2025	J	`jnl`	LLLMs: A Data-Driven Survey of Evolving Research on Limitations of Large Language Models. CoRR Aida Kostikova, Zhipin Wang, Deidamea Bajri, Ole Pütz, Benjamin Paaßen, Steffen Eger
2025	J	`jnl`	Large Language Models Do Not Simulate Human Psychology. CoRR Sarah Schröder, Thekla Morgenroth, Ulrike Kuhl, Valerie Vaquet, Benjamin Paaßen
2025	J	`jnl`	Leveraging local data sampling strategies to improve federated learning. Int. J. Data Sci. Anal. Christoph Düsing, Philipp Cimiano, Benjamin Paaßen
2024	B	`conf`	Automatic Matchmaking in Two-Versus-Two Sports. EDM Sören Rüttgers, Ulrike Kuhl, Benjamin Paaßen
2024	—	`conf`	Case study: Using LLMs to assist with solving programming homework assignments. DELFI Workshops Alina Deriyeva, Jesper Dannath, Benjamin Paaßen
2024	—	`conf`	Evaluating Task-Level Struggle Detection Methods in Intelligent Tutoring Systems for Programming. DeLFI Jesper Dannath, Alina Deriyeva, Benjamin Paaßen
2024	—	`conf`	K Minimum Enclosing Balls for Outlier Detection. WSOM+ Daniel Staps, Thomas Villmann, Benjamin Paaßen
2024	B	`conf`	Leveraging Local Data Sampling Strategies to Improve Federated Learning (Extended Abstract). DSAA Christoph Düsing, Philipp Cimiano, Benjamin Paaßen
2024	B	`ed.`	Proceedings of the 17th International Conference on Educational Data Mining, EDM 2024, Atlanta, Georgia, USA, July 14-17, 2024 EDM David A. Joyner, Benjamin Paaßen, Carrie Demmans Epp
2024	—	`conf`	Relation between struggle and learning personality in programming exercises. DeLFI Alina Deriyeva, Jesper Dannath, Benjamin Paaßen
2023	J	`jnl`	Diffusion-based Visual Counterfactual Explanations - Towards Systematic Quantitative Evaluation. CoRR Philipp Väth, Alexander M. Frühwald, Benjamin Paaßen, Magda Gregorova
2023	J	`jnl`	Fairness in KI-Systemen. CoRR Janine Strotherm, Alissa Müller, Barbara Hammer, Benjamin Paaßen
2023	—	`conf`	Was wirkt? Eine Literaturstudie zur Wirksamkeit von Systemeigenschaften in Mathematik-Lernumgebungen. DELFI Berit Blanc, Insa Reichow, Benjamin Paaßen
2022	J	`jnl`	Automatic Creativity Measurement in Scratch Programs Across Modalities. CoRR Anastasia Kovalkov, Benjamin Paaßen, Avi Segal, Niels Pinkwart, Kobi Gal
2022	B	`conf`	Combining domain modelling and student modelling techniques in a single automated pipeline. EDM Gio Picones, Benjamin Paaßen, Irena Koprinska, Kalina Yacef
2022	B	`conf`	Faster Confidence Intervals for Item Response Theory via an Approximate Likelihood Profile. EDM Benjamin Paaßen, Christina Göpfert, Niels Pinkwart
2022	—	`conf`	Few-shot Keypose Detection for Learning of Psychomotor Skills. MILeS@EC-TEL Benjamin Paaßen, Tobias Baumgartner, Mai Geisen, Nina Riedl, Milos Kravcik
2022	—	`conf`	Interpretable Knowledge Gain Prediction for Vocational Preparatory E-Learnings. AIED (2) Benjamin Paaßen, Malwina Dywel, Melanie Fleckenstein, Niels Pinkwart
2022	J	`jnl`	Recursive tree grammar autoencoders. Mach. Learn. Benjamin Paaßen, Irena Koprinska, Kalina Yacef
2022	J	`jnl`	Reservoir Memory Machines as Neural Computers. IEEE Trans. Neural Networks Learn. Syst. Benjamin Paaßen, Alexander Schulz, Terrence C. Stewart, Barbara Hammer
2022	J	`jnl`	Reservoir stack machines. Neurocomputing Benjamin Paaßen, Alexander Schulz, Barbara Hammer
2022	B	`conf`	Sparse Factor Autoencoders for Item Response Theory. EDM Benjamin Paaßen, Malwina Dywel, Melanie Fleckenstein, Niels Pinkwart
2021	B	`conf`	An A*-algorithm for the Unordered Tree Edit Distance with Custom Costs. SISAP Benjamin Paaßen
2021	J	`jnl`	An A*-algorithm for the Unordered Tree Edit Distance with Custom Costs. CoRR Benjamin Paaßen
2021	B	`conf`	Analyzing Student Success and Mistakes in Virtual Microscope Structure Search Tasks. EDM Benjamin Paaßen, Andreas Bertsch, Katharina Langer-Fischer, Sylvio Rüdian, Xia Wang, Rupali Sinha, Jakub Kuzilek, Stefan Britsch, Niels Pinkwart
2021	J	`jnl`	Automatic Creativity Measurement in Scratch Programs Across Modalities. IEEE Trans. Learn. Technol. Anastasia Kovalkov, Benjamin Paaßen, Avi Segal, Niels Pinkwart, Kobi Gal
2021	—	`conf`	Next Steps for Next-step Hints: Lessons Learned from Teacher Evaluations of Automatic Programming Hints (Full Paper). EDM (Workshops) Benjamin Paaßen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef
2021	—	`ed.`	Proceedings of the First International Workshop on Multimodal Immersive Learning Systems (MILeS 2021) At the Sixteenth European Conference on Technology Enhanced Learning: Technology-Enhanced Learning for a Free, Safe, and Sustainable World. (EC-TEL 2021), Online (Bozen-Bolzano, Italy), September 20-24, 2021. MILeS@EC-TEL Roland Klemke, Khaleel Asyraaf Mat Sanusi, Daniel Majonica, Anja Richert, Valérie Varney, Tobias Keller, Jan Schneider, Daniele Di Mitri, George-Petru Ciordas-Hertel, Fernando Pedro Cardenas Hernandez, Gianluca Romano, Milos Kravcík, Benjamin Paaßen, Ralf Klamma, Michal Slupczynski, Stefanie Klatt, Mai Geisen, Tobias Baumgartner, Nina Riedl
2021	J	`jnl`	Reservoir Stack Machines. CoRR Benjamin Paaßen, Alexander Schulz, Barbara Hammer
2021	B	`conf`	ast2vec: Utilizing Recursive Neural Encodings of Python Programs. EDM Benjamin Paaßen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef
2021	J	`jnl`	ast2vec: Utilizing Recursive Neural Encodings of Python Programs. CoRR Benjamin Paaßen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef
2020	J	`jnl`	Reservoir Memory Machines as Neural Computers. CoRR Benjamin Paaßen, Alexander Schulz, Terrence C. Stewart, Barbara Hammer
2020	J	`jnl`	The Gendered Nature and Malleability of Gamer Stereotypes. Cyberpsychology Behav. Soc. Netw. Thekla Morgenroth, Michelle Stratemeyer, Benjamin Paaßen
2019	J	`jnl`	A Comparison of the Quality of Data-Driven Programming Hint Generation Algorithms. Int. J. Artif. Intell. Educ. Thomas W. Price, Yihuan Dong, Rui Zhi, Benjamin Paaßen, Nicholas Lytle, Veronica Cateté, Tiffany Barnes
2019	—	`conf`	Adversarial Edit Attacks for Tree Data. IDEAL (1) Benjamin Paaßen
2019	J	`jnl`	Adversarial Edit Attacks for Tree Data. CoRR Benjamin Paaßen
2019	B	`conf`	Dynamic fairness - Breaking vicious cycles in automatic decision making. ESANN Benjamin Paaßen, Astrid Bunge, Carolin Hainke, Leon Sindelar, Matthias Vogelsang
2019	J	`jnl`	Dynamic fairness - Breaking vicious cycles in automatic decision making. CoRR Benjamin Paaßen, Astrid Bunge, Carolin Hainke, Leon Sindelar, Matthias Vogelsang
2019	B	`conf`	Embeddings and Representation Learning for Structured Data. ESANN Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Alessandro Sperduti
2019	J	`jnl`	Embeddings and Representation Learning for Structured Data. CoRR Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Alessandro Sperduti
2019	—	`—`	Metric Learning for Structured Data. Benjamin Paaßen
2018	J	`jnl`	Expectation maximization transfer learning and its application for bionic hand prostheses. Neurocomputing Benjamin Paaßen, Alexander Schulz, Janne Hahne, Barbara Hammer
2018	J	`jnl`	Revisiting the tree edit distance and its backtracing: A tutorial. CoRR Benjamin Paaßen
2018	J	`jnl`	Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces. Neural Process. Lett. Benjamin Paaßen, Christina Göpfert, Barbara Hammer
2018	A*	`conf`	Tree Edit Distance Learning via Adaptive Symbol Embeddings. ICML Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Barbara Hammer
2018	J	`jnl`	Tree Edit Distance Learning via Adaptive Symbol Embeddings. CoRR Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Barbara Hammer
2018	J	`jnl`	Tree Edit Distance Learning via Adaptive Symbol Embeddings: Supplementary Materials and Results. CoRR Benjamin Paaßen
2017	B	`conf`	Echo State Networks as Novel Approach for Low-Cost Myoelectric Control. AIME Cosima Prahm, Alexander Schulz, Benjamin Paaßen, Oskar Aszmann, Barbara Hammer, Georg Dorffner
2017	J	`jnl`	Expectation maximization transfer learning and its application for bionic hand prostheses. CoRR Benjamin Paaßen, Alexander Schulz, Janne Hahne, Barbara Hammer
2017	—	`conf`	Linear supervised transfer learning for the large margin nearest neighbor classifier. SSCI Kolja Berger, Alexander Schulz, Benjamin Paaßen, Barbara Hammer
2017	J	`jnl`	The Continuous Hint Factory - Providing Hints in Vast and Sparsely Populated Edit Distance Spaces. CoRR Benjamin Paaßen, Barbara Hammer, Thomas William Price, Tiffany Barnes, Sebastian Gross, Niels Pinkwart
2017	J	`jnl`	Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces. CoRR Benjamin Paaßen, Christina Göpfert, Barbara Hammer
2016	J	`jnl`	Adaptive structure metrics for automated feedback provision in intelligent tutoring systems. Neurocomputing Benjamin Paaßen, Bassam Mokbel, Barbara Hammer
2016	B	`conf`	Execution Traces as a Powerful Data Representation for Intelligent Tutoring Systems for Programming. EDM Benjamin Paaßen, Joris Jensen, Barbara Hammer
2015	B	`conf`	A Toolbox for Adaptive Sequence Dissimilarity Measures for Intelligent Tutoring Systems. EDM Benjamin Paaßen, Bassam Mokbel, Barbara Hammer
2015	J	`jnl`	Autonomous Learning of Representations. Künstliche Intell. Oliver Walter, Reinhold Haeb-Umbach, Bassam Mokbel, Benjamin Paaßen, Barbara Hammer
2015	J	`jnl`	Interview with Werner von Seelen. Künstliche Intell. Benjamin Paaßen
2015	J	`jnl`	Metric learning for sequences in relational LVQ. Neurocomputing Bassam Mokbel, Benjamin Paaßen, Frank-Michael Schleif, Barbara Hammer
2014	B	`conf`	Adaptive distance measures for sequential data. ESANN Bassam Mokbel, Benjamin Paaßen, Barbara Hammer
2014	C	`conf`	Efficient Adaptation of Structure Metrics in Prototype-Based Classification. ICANN Bassam Mokbel, Benjamin Paaßen, Barbara Hammer
2014	J	`jnl`	Example-based feedback provision using structured solution spaces. Int. J. Learn. Technol. Sebastian Gross, Bassam Mokbel, Benjamin Paaßen, Barbara Hammer, Niels Pinkwart
2014	J	`jnl`	Learning interpretable kernelized prototype-based models. Neurocomputing Daniela Hofmann, Frank-Michael Schleif, Benjamin Paaßen, Barbara Hammer
2013	B	`conf`	Domain-Independent Proximity Measures in Intelligent Tutoring Systems. EDM Bassam Mokbel, Sebastian Gross, Benjamin Paaßen, Niels Pinkwart, Barbara Hammer