Benjamin Paaßen

Proceedings of the 17th International Conference on Educational Data Mining, 2024

Leveraging Local Data Sampling Strategies to Improve Federated Learning (Extended Abstract).

[BibT_eX]

[DOI]

Christoph Düsing

Philipp Cimiano

Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024

Case study: Using LLMs to assist with solving programming homework assignments.

[BibT_eX]

[DOI]

Alina Deriyeva

Jesper Dannath

Proceedings of DELFI Workshops 2024, Fulda, Germany, September 9-11, 2024, 2024

Relation between struggle and learning personality in programming exercises.

[BibT_eX]

[DOI]

Alina Deriyeva

Jesper Dannath

Proceedings of the DELFI 2024, 2024

Evaluating Task-Level Struggle Detection Methods in Intelligent Tutoring Systems for Programming.

[BibT_eX]

[DOI]

Jesper Dannath

Alina Deriyeva

Proceedings of the DELFI 2024, 2024

2023

Diffusion-based Visual Counterfactual Explanations - Towards Systematic Quantitative Evaluation.

[BibT_eX]

[DOI]

Philipp Väth

Alexander M. Frühwald

Magda Gregorova

CoRR, 2023

Fairness in KI-Systemen.

[BibT_eX]

[DOI]

CoRR, 2023

Was wirkt? Eine Literaturstudie zur Wirksamkeit von Systemeigenschaften in Mathematik-Lernumgebungen.

[BibT_eX]

[DOI]

Berit Blanc

Insa Reichow

Proceedings of the DELFI 2023, 2023

2022

Reservoir Memory Machines as Neural Computers.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Recursive tree grammar autoencoders.

[BibT_eX]

[DOI]

Irena Koprinska

Kalina Yacef

Mach. Learn., 2022

Reservoir stack machines.

[BibT_eX]

[DOI]

Alexander Schulz

Neurocomputing, 2022

Combining domain modelling and student modelling techniques in a single automated pipeline.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Faster Confidence Intervals for Item Response Theory via an Approximate Likelihood Profile.

[BibT_eX]

[DOI]

Niels Pinkwart

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Sparse Factor Autoencoders for Item Response Theory.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Few-shot Keypose Detection for Learning of Psychomotor Skills.

[BibT_eX]

[DOI]

Proceedings of the Second International Workshop on Multimodal Immersive Learning Systems (MILeS 2022) At the Seventeenth European Conference on Technology Enhanced Learning (EC-TEL 2022), 2022

Interpretable Knowledge Gain Prediction for Vocational Preparatory E-Learnings.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

2021

Automatic Creativity Measurement in Scratch Programs Across Modalities.

[BibT_eX]

[DOI]

IEEE Trans. Learn. Technol., 2021

An A*-algorithm for the Unordered Tree Edit Distance with Custom Costs.

[BibT_eX]

[DOI]

Proceedings of the Similarity Search and Applications - 14th International Conference, 2021

Graph Edit Networks.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Deep learning for graphs.

[BibT_eX]

[DOI]

Davide Bacciu

Filippo Maria Bianchi

Cesare Alippi

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Next Steps for Next-step Hints: Lessons Learned from Teacher Evaluations of Automatic Programming Hints (Full Paper).

[BibT_eX]

[DOI]

Proceedings of the Joint Proceedings of the Workshops at the International Conference on Educational Data Mining 2021 co-located with 14th International Conference on Educational Data Mining (EDM 2021), 2021

ast2vec: Utilizing Recursive Neural Encodings of Python Programs.

[BibT_eX]

Proceedings of the 14th International Conference on Educational Data Mining, 2021

Analyzing Student Success and Mistakes in Virtual Microscope Structure Search Tasks.

[BibT_eX]

Andreas Bertsch

Katharina Langer-Fischer

Proceedings of the 14th International Conference on Educational Data Mining, 2021

Modeling Creativity in Visual Programming: From Theory to Practice.

[BibT_eX]

Proceedings of the 14th International Conference on Educational Data Mining, 2021

Progress Networks as a Tool for Analysing Student Programming Difficulties.

[BibT_eX]

[DOI]

Proceedings of the ACE '21: 23rd Australasian Computing Education Conference, 2021

2020

The Gendered Nature and Malleability of Gamer Stereotypes.

[BibT_eX]

[DOI]

Thekla Morgenroth

Michelle Stratemeyer

Cyberpsychology Behav. Soc. Netw., 2020

Tree Echo State Autoencoders with Grammars.

[BibT_eX]

[DOI]

Irena Koprinska

Kalina Yacef

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Reservoir memory machines.

[BibT_eX]

[DOI]

Alexander Schulz

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

Metric Learning for Structured Data.

[BibT_eX]

[DOI]

PhD thesis, 2019

A Comparison of the Quality of Data-Driven Programming Hint Generation Algorithms.

[BibT_eX]

[DOI]

Int. J. Artif. Intell. Educ., 2019

Adversarial Edit Attacks for Tree Data.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Embeddings and Representation Learning for Structured Data.

[BibT_eX]

[DOI]

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Dynamic fairness - Breaking vicious cycles in automatic decision making.

[BibT_eX]

[DOI]

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2018

Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces.

[BibT_eX]

[DOI]

Neural Process. Lett., 2018

Expectation maximization transfer learning and its application for bionic hand prostheses.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Tree Edit Distance Learning via Adaptive Symbol Embeddings: Supplementary Materials and Results.

[BibT_eX]

[DOI]

CoRR, 2018

Revisiting the tree edit distance and its backtracing: A tutorial.

[BibT_eX]

[DOI]

CoRR, 2018

Tree Edit Distance Learning via Adaptive Symbol Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

The Continuous Hint Factory - Providing Hints in Vast and Sparsely Populated Edit Distance Spaces.

[BibT_eX]

[DOI]

CoRR, 2017

Linear supervised transfer learning for the large margin nearest neighbor classifier.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

An EM transfer learning algorithm with applications in bionic hand prostheses.

[BibT_eX]

[DOI]

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

Echo State Networks as Novel Approach for Low-Cost Myoelectric Control.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2017

2016

Adaptive structure metrics for automated feedback provision in intelligent tutoring systems.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Local Reject Option for Deterministic Multi-class SVM.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

Convergence of Multi-pass Large Margin Nearest Neighbor Metric Learning.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

Gaussian process prediction for time series of structured data.

[BibT_eX]

[DOI]

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Execution Traces as a Powerful Data Representation for Intelligent Tutoring Systems for Programming.

[BibT_eX]

[DOI]

Joris Jensen

Proceedings of the 9th International Conference on Educational Data Mining, 2016

2015

Autonomous Learning of Representations.

[BibT_eX]

[DOI]

Künstliche Intell., 2015

Interview with Werner von Seelen.

[BibT_eX]

[DOI]

Künstliche Intell., 2015

Metric learning for sequences in relational LVQ.

[BibT_eX]

[DOI]

Frank-Michael Schleif

Neurocomputing, 2015

Adaptive structure metrics for automated feedback provision in Java programming.

[BibT_eX]

[DOI]

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

A Toolbox for Adaptive Sequence Dissimilarity Measures for Intelligent Tutoring Systems.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Educational Data Mining, 2015

2014

Learning interpretable kernelized prototype-based models.

[BibT_eX]

[DOI]

Daniela Hofmann

Frank-Michael Schleif

Neurocomputing, 2014

Example-based feedback provision using structured solution spaces.

[BibT_eX]

[DOI]

Int. J. Learn. Technol., 2014

Efficient Adaptation of Structure Metrics in Prototype-Based Classification.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

Adaptive distance measures for sequential data.

[BibT_eX]

[DOI]