default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDBenjamin Paaßen
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c40]Jesper Dannath, Alina Deriyeva, Benjamin Paaßen:
Evaluating Task-Level Struggle Detection Methods in Intelligent Tutoring Systems for Programming. DeLFI 2024- [c39]Alina Deriyeva, Jesper Dannath, Benjamin Paaßen:
Relation between struggle and learning personality in programming exercises. DeLFI 2024 - [c38]Alina Deriyeva, Jesper Dannath, Benjamin Paaßen:
Case study: Using LLMs to assist with solving programming homework assignments. DELFI Workshops 2024: 23 - [c37]Christoph Düsing, Philipp Cimiano, Benjamin Paaßen:
Leveraging Local Data Sampling Strategies to Improve Federated Learning (Extended Abstract). DSAA 2024: 1-2 - [c36]Sören Rüttgers, Ulrike Kuhl, Benjamin Paaßen:
Automatic Matchmaking in Two-Versus-Two Sports. EDM 2024 - [c35]Aida Kostikova, Dominik Beese, Benjamin Paassen, Ole Pütz, Gregor Wiedemann, Steffen Eger:
Fine-Grained Detection of Solidarity for Women and Migrants in 155 Years of German Parliamentary Debates. EMNLP 2024: 5884-5907 - [c34]Alonso Palomino, Andreas Fischer, Jakub Kuzilek, Jarek Nitsch, Niels Pinkwart, Benjamin Paassen:
EdTec-QBuilder: A Semantic Retrieval Tool for Assembling Vocational Training Exams in German Language. NAACL (Demonstrations) 2024: 26-35 - [e2]David A. Joyner, Benjamin Paaßen, Carrie Demmans Epp:
Proceedings of the 17th International Conference on Educational Data Mining, EDM 2024, Atlanta, Georgia, USA, July 14-17, 2024. International Educational Data Mining Society 2024 [contents] - [i21]Sharmita Dey, Benjamin Paassen, Sarath R. Nair, Sabri Boughorbel, Arndt F. Schilling:
Continual Imitation Learning for Prosthetic Limbs. CoRR abs/2405.01114 (2024) - [i20]Philipp Väth, Alexander M. Frühwald, Benjamin Paassen, Magda Gregorova:
GradCheck: Analyzing classifier guidance gradients for conditional diffusion sampling. CoRR abs/2406.17399 (2024) - 2023
- [c33]Berit Blanc, Insa Reichow, Benjamin Paaßen:
Was wirkt? Eine Literaturstudie zur Wirksamkeit von Systemeigenschaften in Mathematik-Lernumgebungen. DELFI 2023: 61 - [i19]Janine Strotherm, Alissa Müller, Barbara Hammer, Benjamin Paaßen:
Fairness in KI-Systemen. CoRR abs/2307.08486 (2023) - [i18]Philipp Väth, Alexander M. Frühwald, Benjamin Paaßen, Magda Gregorova:
Diffusion-based Visual Counterfactual Explanations - Towards Systematic Quantitative Evaluation. CoRR abs/2308.06100 (2023) - 2022
- [j14]Benjamin Paaßen
, Alexander Schulz, Barbara Hammer:
Reservoir stack machines. Neurocomputing 470: 352-364 (2022) - [j13]Benjamin Paaßen, Irena Koprinska, Kalina Yacef:
Recursive tree grammar autoencoders. Mach. Learn. 111(9): 3393-3423 (2022) - [j12]Benjamin Paaßen, Alexander Schulz, Terrence C. Stewart, Barbara Hammer:
Reservoir Memory Machines as Neural Computers. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2575-2585 (2022) - [c32]Benjamin Paaßen, Malwina Dywel, Melanie Fleckenstein, Niels Pinkwart:
Interpretable Knowledge Gain Prediction for Vocational Preparatory E-Learnings. AIED (2) 2022: 132-137 - [c31]Benjamin Paaßen, Tobias Baumgartner, Mai Geisen, Nina Riedl, Milos Kravcik:
Few-shot Keypose Detection for Learning of Psychomotor Skills. MILeS@EC-TEL 2022: 22-27 - [c30]Benjamin Paaßen, Malwina Dywel, Melanie Fleckenstein, Niels Pinkwart:
Sparse Factor Autoencoders for Item Response Theory. EDM 2022 - [c29]Benjamin Paaßen, Christina Göpfert, Niels Pinkwart:
Faster Confidence Intervals for Item Response Theory via an Approximate Likelihood Profile. EDM 2022 - [c28]Gio Picones, Benjamin Paaßen, Irena Koprinska, Kalina Yacef:
Combining domain modelling and student modelling techniques in a single automated pipeline. EDM 2022 - [i17]Anastasia Kovalkov, Benjamin Paaßen, Avi Segal, Niels Pinkwart, Kobi Gal:
Automatic Creativity Measurement in Scratch Programs Across Modalities. CoRR abs/2211.05227 (2022) - 2021
- [j11]Anastasia Kovalkov, Benjamin Paaßen, Avi Segal, Niels Pinkwart, Kobi Gal:
Automatic Creativity Measurement in Scratch Programs Across Modalities. IEEE Trans. Learn. Technol. 14(6): 740-753 (2021) - [c27]Jessica McBroom, Benjamin Paassen, Bryn Jeffries, Irena Koprinska, Kalina Yacef:
Progress Networks as a Tool for Analysing Student Programming Difficulties. ACE 2021: 158-167 - [c26]Anastasia Kovalkov, Benjamin Paassen, Avi Segal, Kobi Gal, Niels Pinkwart:
Modeling Creativity in Visual Programming: From Theory to Practice. EDM 2021 - [c25]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 - [c24]Benjamin Paaßen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef:
ast2vec: Utilizing Recursive Neural Encodings of Python Programs. EDM 2021 - [c23]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 - [c22]Davide Bacciu, Filippo Maria Bianchi, Benjamin Paassen, Cesare Alippi:
Deep learning for graphs. ESANN 2021 - [c21]Benjamin Paassen, Daniele Grattarola, Daniele Zambon, Cesare Alippi, Barbara Hammer:
Graph Edit Networks. ICLR 2021 - [c20]Benjamin Paaßen:
An A*-algorithm for the Unordered Tree Edit Distance with Custom Costs. SISAP 2021: 364-371 - [e1]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:
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. CEUR Workshop Proceedings 2979, CEUR-WS.org 2021 [contents] - [i16]Benjamin Paaßen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef:
ast2vec: Utilizing Recursive Neural Encodings of Python Programs. CoRR abs/2103.11614 (2021) - [i15]Benjamin Paaßen, Alexander Schulz, Barbara Hammer:
Reservoir Stack Machines. CoRR abs/2105.01616 (2021) - [i14]Benjamin Paaßen:
An A*-algorithm for the Unordered Tree Edit Distance with Custom Costs. CoRR abs/2108.00953 (2021) - 2020
- [j10]Thekla Morgenroth, Michelle Stratemeyer, Benjamin Paaßen:
The Gendered Nature and Malleability of Gamer Stereotypes. Cyberpsychology Behav. Soc. Netw. 23(8): 557-561 (2020) - [c19]Benjamin Paassen, Alexander Schulz:
Reservoir memory machines. ESANN 2020: 567-572 - [c18]Benjamin Paassen, Irena Koprinska, Kalina Yacef:
Tree Echo State Autoencoders with Grammars. IJCNN 2020: 1-8 - [i13]Benjamin Paassen, Alexander Schulz:
Reservoir memory machines. CoRR abs/2003.04793 (2020) - [i12]Benjamin Paassen, Irena Koprinska, Kalina Yacef:
Tree Echo State Autoencoders with Grammars. CoRR abs/2004.08925 (2020) - [i11]Benjamin Paaßen, Alexander Schulz, Terrence C. Stewart, Barbara Hammer:
Reservoir Memory Machines as Neural Computers. CoRR abs/2009.06342 (2020) - [i10]Benjamin Paassen, Irena Koprinska, Kalina Yacef:
Recursive Tree Grammar Autoencoders. CoRR abs/2012.02097 (2020)
2010 – 2019
- 2019
- [b1]Benjamin Paaßen:
Metric Learning for Structured Data. Bielefeld University, Germany, 2019 - [j9]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): 368-395 (2019) - [c17]Benjamin Paaßen, Astrid Bunge, Carolin Hainke, Leon Sindelar, Matthias Vogelsang:
Dynamic fairness - Breaking vicious cycles in automatic decision making. ESANN 2019 - [c16]Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Alessandro Sperduti:
Embeddings and Representation Learning for Structured Data. ESANN 2019 - [c15]Benjamin Paaßen:
Adversarial Edit Attacks for Tree Data. IDEAL (1) 2019: 359-366 - [i9]Benjamin Paaßen, Astrid Bunge, Carolin Hainke, Leon Sindelar, Matthias Vogelsang:
Dynamic fairness - Breaking vicious cycles in automatic decision making. CoRR abs/1902.00375 (2019) - [i8]Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Alessandro Sperduti:
Embeddings and Representation Learning for Structured Data. CoRR abs/1905.06147 (2019) - [i7]Benjamin Paaßen:
Adversarial Edit Attacks for Tree Data. CoRR abs/1908.09364 (2019) - 2018
- [j8]Benjamin Paaßen, Alexander Schulz, Janne Hahne, Barbara Hammer:
Expectation maximization transfer learning and its application for bionic hand prostheses. Neurocomputing 298: 122-133 (2018) - [j7]Benjamin Paaßen, Christina Göpfert, Barbara Hammer:
Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces. Neural Process. Lett. 48(2): 669-689 (2018) - [c14]Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Barbara Hammer:
Tree Edit Distance Learning via Adaptive Symbol Embeddings. ICML 2018: 3973-3982 - [i6]Benjamin Paaßen:
Revisiting the tree edit distance and its backtracing: A tutorial. CoRR abs/1805.06869 (2018) - [i5]Benjamin Paaßen:
Tree Edit Distance Learning via Adaptive Symbol Embeddings: Supplementary Materials and Results. CoRR abs/1805.07123 (2018) - [i4]Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Barbara Hammer:
Tree Edit Distance Learning via Adaptive Symbol Embeddings. CoRR abs/1806.05009 (2018) - 2017
- [c13]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: 338-342 - [c12]Benjamin Paassen, Alexander Schulz, Janne Hahne, Barbara Hammer:
An EM transfer learning algorithm with applications in bionic hand prostheses. ESANN 2017 - [c11]Kolja Berger, Alexander Schulz, Benjamin Paaßen, Barbara Hammer:
Linear supervised transfer learning for the large margin nearest neighbor classifier. SSCI 2017: 1-6 - [i3]Benjamin Paaßen, Christina Göpfert, Barbara Hammer:
Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces. CoRR abs/1704.06498 (2017) - [i2]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 abs/1708.06564 (2017) - [i1]Benjamin Paaßen, Alexander Schulz, Janne Hahne, Barbara Hammer:
Expectation maximization transfer learning and its application for bionic hand prostheses. CoRR abs/1711.09256 (2017) - 2016
- [j6]Benjamin Paaßen, Bassam Mokbel, Barbara Hammer:
Adaptive structure metrics for automated feedback provision in intelligent tutoring systems. Neurocomputing 192: 3-13 (2016) - [c10]Benjamin Paaßen, Joris Jensen, Barbara Hammer:
Execution Traces as a Powerful Data Representation for Intelligent Tutoring Systems for Programming. EDM 2016: 183-190 - [c9]Benjamin Paassen, Christina Göpfert, Barbara Hammer:
Gaussian process prediction for time series of structured data. ESANN 2016 - [c8]Johannes Kummert, Benjamin Paassen, Joris Jensen, Christina Göpfert, Barbara Hammer:
Local Reject Option for Deterministic Multi-class SVM. ICANN (2) 2016: 251-258 - [c7]Christina Göpfert, Benjamin Paassen, Barbara Hammer:
Convergence of Multi-pass Large Margin Nearest Neighbor Metric Learning. ICANN (1) 2016: 510-517 - 2015
- [j5]Bassam Mokbel, Benjamin Paaßen, Frank-Michael Schleif, Barbara Hammer:
Metric learning for sequences in relational LVQ. Neurocomputing 169: 306-322 (2015) - [j4]Oliver Walter, Reinhold Haeb-Umbach, Bassam Mokbel, Benjamin Paaßen, Barbara Hammer:
Autonomous Learning of Representations. Künstliche Intell. 29(4): 339-351 (2015) - [j3]Benjamin Paaßen:
Interview with Werner von Seelen. Künstliche Intell. 29(4): 445-448 (2015) - [c6]Benjamin Paaßen, Bassam Mokbel, Barbara Hammer:
A Toolbox for Adaptive Sequence Dissimilarity Measures for Intelligent Tutoring Systems. EDM 2015: 632 - [c5]Benjamin Paassen, Bassam Mokbel, Barbara Hammer:
Adaptive structure metrics for automated feedback provision in Java programming. ESANN 2015 - 2014
- [j2]Sebastian Gross, Bassam Mokbel, Benjamin Paaßen, Barbara Hammer, Niels Pinkwart:
Example-based feedback provision using structured solution spaces. Int. J. Learn. Technol. 9(3): 248-280 (2014) - [j1]Daniela Hofmann, Frank-Michael Schleif, Benjamin Paaßen, Barbara Hammer:
Learning interpretable kernelized prototype-based models. Neurocomputing 141: 84-96 (2014) - [c4]Benjamin Paassen, Andreas Stöckel, Raphael Dickfelder, Jan Philip Göpfert, Nicole Brazda, Tarek Kirchhoffer, Hans Werner Müller, Roman Klinger, Matthias Hartung, Philipp Cimiano:
Ontology-based Extraction of Structured Information from Publications on Preclinical Experiments for Spinal Cord Injury Treatments. SWAIE@COLING 2014: 25-32 - [c3]Bassam Mokbel, Benjamin Paaßen, Barbara Hammer:
Adaptive distance measures for sequential data. ESANN 2014 - [c2]Bassam Mokbel, Benjamin Paaßen, Barbara Hammer:
Efficient Adaptation of Structure Metrics in Prototype-Based Classification. ICANN 2014: 571-578 - 2013
- [c1]Bassam Mokbel, Sebastian Gross, Benjamin Paaßen, Niels Pinkwart, Barbara Hammer:
Domain-Independent Proximity Measures in Intelligent Tutoring Systems. EDM 2013: 334-335
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-15 20:42 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
