Benjamin Paaßen

ORCID

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 42

Top Venues

Bielefeld University, Germany (PHD)

Education History

Bielefeld University, Germany

PHD

Publications

Janine Strotherm, Alissa Müller, Barbara Hammer, Benjamin Paaßen
Fairness in KI-Systemen. CoRR (2023)
Philipp Väth, Alexander M. Frühwald, Benjamin Paaßen, Magda Gregorova
Diffusion-based Visual Counterfactual Explanations - Towards Systematic Quantitative Evaluation. CoRR (2023)
Berit Blanc, Insa Reichow, Benjamin Paaßen
Was wirkt? Eine Literaturstudie zur Wirksamkeit von Systemeigenschaften in Mathematik-Lernumgebungen. DELFI (2023)
Benjamin Paaßen, Christina Göpfert, Niels Pinkwart
Faster Confidence Intervals for Item Response Theory via an Approximate Likelihood Profile. EDM (2022)
Benjamin Paaßen, Irena Koprinska, Kalina Yacef
Recursive tree grammar autoencoders. Mach. Learn. 111 (9) (2022)
Gio Picones, Benjamin Paaßen, Irena Koprinska, Kalina Yacef
Combining domain modelling and student modelling techniques in a single automated pipeline. EDM (2022)
Benjamin Paaßen, Alexander Schulz, Barbara Hammer
Reservoir stack machines. Neurocomputing 470 (2022)
Benjamin Paaßen, Malwina Dywel, Melanie Fleckenstein, Niels Pinkwart
Interpretable Knowledge Gain Prediction for Vocational Preparatory E-Learnings. AIED (2) (2022)
Benjamin Paaßen, Malwina Dywel, Melanie Fleckenstein, Niels Pinkwart
Sparse Factor Autoencoders for Item Response Theory. EDM (2022)
Benjamin Paaßen, Tobias Baumgartner, Mai Geisen, Nina Riedl, Milos Kravcik
Few-shot Keypose Detection for Learning of Psychomotor Skills. MILeS@EC-TEL (2022)
Anastasia Kovalkov, Benjamin Paaßen, Avi Segal, Niels Pinkwart, Kobi Gal
Automatic Creativity Measurement in Scratch Programs Across Modalities. CoRR (2022)
Benjamin Paaßen, Alexander Schulz, Terrence C. Stewart, Barbara Hammer
Reservoir Memory Machines as Neural Computers. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)
Anastasia Kovalkov, Benjamin Paaßen, Avi Segal, Niels Pinkwart, Kobi Gal
Automatic Creativity Measurement in Scratch Programs Across Modalities. IEEE Trans. Learn. Technol. 14 (6) (2021)
Benjamin Paaßen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef
Next Steps for Next-step Hints: Lessons Learned from Teacher Evaluations of Automatic Programming Hints (Full Paper). EDM (Workshops) (2021)
Benjamin Paaßen, Alexander Schulz, Barbara Hammer
Reservoir Stack Machines. CoRR (2021)
Benjamin Paaßen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef
ast2vec: Utilizing Recursive Neural Encodings of Python Programs. EDM (2021)
Benjamin Paaßen, Andreas Bertsch, Katharina Langer-Fischer, Sylvio Rüdian, Xia Wang, Rupali Sinha, Jakub Kuzilek, Stefan Britsch, Niels Pinkwart
Analyzing Student Success and Mistakes in Virtual Microscope Structure Search Tasks. EDM (2021)
Benjamin Paaßen
An A*-algorithm for the Unordered Tree Edit Distance with Custom Costs. SISAP (2021)
Benjamin Paaßen
An A*-algorithm for the Unordered Tree Edit Distance with Custom Costs. CoRR (2021)
Benjamin Paaßen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef
ast2vec: Utilizing Recursive Neural Encodings of Python Programs. CoRR (2021)
Thekla Morgenroth, Michelle Stratemeyer, Benjamin Paaßen
The Gendered Nature and Malleability of Gamer Stereotypes. Cyberpsychology Behav. Soc. Netw. 23 (8) (2020)
Benjamin Paaßen, Alexander Schulz, Terrence C. Stewart, Barbara Hammer
Reservoir Memory Machines as Neural Computers. CoRR (2020)
Benjamin Paaßen, Astrid Bunge, Carolin Hainke, Leon Sindelar, Matthias Vogelsang
Dynamic fairness - Breaking vicious cycles in automatic decision making. ESANN (2019)
Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Alessandro Sperduti
Embeddings and Representation Learning for Structured Data. CoRR (2019)
Benjamin Paaßen
Adversarial Edit Attacks for Tree Data. CoRR (2019)
Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Alessandro Sperduti
Embeddings and Representation Learning for Structured Data. ESANN (2019)
Thomas W. Price, Yihuan Dong, Rui Zhi, Benjamin Paaßen, Nicholas Lytle, Veronica Cateté, Tiffany Barnes
A Comparison of the Quality of Data-Driven Programming Hint Generation Algorithms. Int. J. Artif. Intell. Educ. 29 (3) (2019)
Benjamin Paaßen, Astrid Bunge, Carolin Hainke, Leon Sindelar, Matthias Vogelsang
Dynamic fairness - Breaking vicious cycles in automatic decision making. CoRR (2019)
Benjamin Paaßen
Adversarial Edit Attacks for Tree Data. IDEAL (1) (2019)
Benjamin Paaßen, Christina Göpfert, Barbara Hammer
Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces. Neural Process. Lett. 48 (2) (2018)
Benjamin Paaßen
Revisiting the tree edit distance and its backtracing: A tutorial. CoRR (2018)
Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Barbara Hammer
Tree Edit Distance Learning via Adaptive Symbol Embeddings. ICML (2018)
Benjamin Paaßen, Alexander Schulz, Janne Hahne, Barbara Hammer
Expectation maximization transfer learning and its application for bionic hand prostheses. Neurocomputing 298 (2018)
Benjamin Paaßen
Tree Edit Distance Learning via Adaptive Symbol Embeddings: Supplementary Materials and Results. CoRR (2018)
Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Barbara Hammer
Tree Edit Distance Learning via Adaptive Symbol Embeddings. CoRR (2018)
Kolja Berger, Alexander Schulz, Benjamin Paaßen, Barbara Hammer
Linear supervised transfer learning for the large margin nearest neighbor classifier. SSCI (2017)
Benjamin Paaßen, Christina Göpfert, Barbara Hammer
Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces. CoRR (2017)
Benjamin Paaßen, Barbara Hammer, Thomas William Price, Tiffany Barnes, Sebastian Gross, Niels Pinkwart
The Continuous Hint Factory - Providing Hints in Vast and Sparsely Populated Edit Distance Spaces. CoRR (2017)
Benjamin Paaßen, Alexander Schulz, Janne Hahne, Barbara Hammer
Expectation maximization transfer learning and its application for bionic hand prostheses. CoRR (2017)
Cosima Prahm, Alexander Schulz, Benjamin Paaßen, Oskar Aszmann, Barbara Hammer, Georg Dorffner
Echo State Networks as Novel Approach for Low-Cost Myoelectric Control. AIME (2017)
Benjamin Paaßen, Bassam Mokbel, Barbara Hammer
Adaptive structure metrics for automated feedback provision in intelligent tutoring systems. Neurocomputing 192 (2016)
Benjamin Paaßen, Joris Jensen, Barbara Hammer
Execution Traces as a Powerful Data Representation for Intelligent Tutoring Systems for Programming. EDM (2016)
Bassam Mokbel, Benjamin Paaßen, Frank-Michael Schleif, Barbara Hammer
Metric learning for sequences in relational LVQ. Neurocomputing 169 (2015)
Benjamin Paaßen, Bassam Mokbel, Barbara Hammer
A Toolbox for Adaptive Sequence Dissimilarity Measures for Intelligent Tutoring Systems. EDM (2015)
Oliver Walter, Reinhold Haeb-Umbach, Bassam Mokbel, Benjamin Paaßen, Barbara Hammer
Autonomous Learning of Representations. Künstliche Intell. 29 (4) (2015)
Benjamin Paaßen
Interview with Werner von Seelen. Künstliche Intell. 29 (4) (2015)
Bassam Mokbel, Benjamin Paaßen, Barbara Hammer
Efficient Adaptation of Structure Metrics in Prototype-Based Classification. ICANN (2014)
Bassam Mokbel, Benjamin Paaßen, Barbara Hammer
Adaptive distance measures for sequential data. ESANN (2014)
Daniela Hofmann, Frank-Michael Schleif, Benjamin Paaßen, Barbara Hammer
Learning interpretable kernelized prototype-based models. Neurocomputing 141 (2014)
Sebastian Gross, Bassam Mokbel, Benjamin Paaßen, Barbara Hammer, Niels Pinkwart
Example-based feedback provision using structured solution spaces. Int. J. Learn. Technol. 9 (3) (2014)
Bassam Mokbel, Sebastian Gross, Benjamin Paaßen, Niels Pinkwart, Barbara Hammer
Domain-Independent Proximity Measures in Intelligent Tutoring Systems. EDM (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Benjamin Paaßen