Benjamin Paaßen

According to our database1, Benjamin Paaßen authored at least 40 papers between 2013 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Reservoir stack machines.
Neurocomputing, 2022

2021
ast2vec: Utilizing Recursive Neural Encodings of Python Programs.
CoRR, 2021

An A*-algorithm for the Unordered Tree Edit Distance with Custom Costs.
Proceedings of the Similarity Search and Applications - 14th International Conference, 2021

Graph Edit Networks.
Proceedings of the 9th International Conference on Learning Representations, 2021

Progress Networks as a Tool for Analysing Student Programming Difficulties.
Proceedings of the ACE '21: 23rd Australasian Computing Education Conference, 2021

2020
Recursive Tree Grammar Autoencoders.
CoRR, 2020

Reservoir Memory Machines as Neural Computers.
CoRR, 2020

The Gendered Nature and Malleability of Gamer Stereotypes.
Cyberpsychology Behav. Soc. Netw., 2020

Tree Echo State Autoencoders with Grammars.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Reservoir memory machines.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019
Metric Learning for Structured Data.
PhD thesis, 2019

A Comparison of the Quality of Data-Driven Programming Hint Generation Algorithms.
Int. J. Artif. Intell. Educ., 2019

Adversarial Edit Attacks for Tree Data.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Embeddings and Representation Learning for Structured Data.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Dynamic fairness - Breaking vicious cycles in automatic decision making.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2018
Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces.
Neural Process. Lett., 2018

Expectation maximization transfer learning and its application for bionic hand prostheses.
Neurocomputing, 2018

Tree Edit Distance Learning via Adaptive Symbol Embeddings: Supplementary Materials and Results.
CoRR, 2018

Revisiting the tree edit distance and its backtracing: A tutorial.
CoRR, 2018

Tree Edit Distance Learning via Adaptive Symbol Embeddings.
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.
CoRR, 2017

Linear supervised transfer learning for the large margin nearest neighbor classifier.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

An EM transfer learning algorithm with applications in bionic hand prostheses.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

Echo State Networks as Novel Approach for Low-Cost Myoelectric Control.
Proceedings of the Artificial Intelligence in Medicine, 2017

2016
Adaptive structure metrics for automated feedback provision in intelligent tutoring systems.
Neurocomputing, 2016

Local Reject Option for Deterministic Multi-class SVM.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

Convergence of Multi-pass Large Margin Nearest Neighbor Metric Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

Gaussian process prediction for time series of structured data.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Execution Traces as a Powerful Data Representation for Intelligent Tutoring Systems for Programming.
Proceedings of the 9th International Conference on Educational Data Mining, 2016

2015
Autonomous Learning of Representations.
Künstliche Intell., 2015

Interview with Werner von Seelen.
Künstliche Intell., 2015

Metric learning for sequences in relational LVQ.
Neurocomputing, 2015

Adaptive structure metrics for automated feedback provision in Java programming.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

A Toolbox for Adaptive Sequence Dissimilarity Measures for Intelligent Tutoring Systems.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

2014
Learning interpretable kernelized prototype-based models.
Neurocomputing, 2014

Example-based feedback provision using structured solution spaces.
Int. J. Learn. Technol., 2014

Efficient Adaptation of Structure Metrics in Prototype-Based Classification.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

Adaptive distance measures for sequential data.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Ontology-based Extraction of Structured Information from Publications on Preclinical Experiments for Spinal Cord Injury Treatments.
Proceedings of the Third Workshop on Semantic Web and Information Extraction, 2014

2013
Domain-Independent Proximity Measures in Intelligent Tutoring Systems.
Proceedings of the 6th International Conference on Educational Data Mining, 2013


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