Alexander Engelsberger

Orcid: 0000-0002-8547-2407

According to our database1, Alexander Engelsberger authored at least 10 papers between 2020 and 2024.

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

Timeline

2020
2021
2022
2023
2024
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5
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Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2024
Hyperbox-GLVQ Based on Min-Max-Neurons.
Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond, 2024

Detecting Oncoming Vehicles at Night in Urban Scenarios - An Annotation Proof-Of-Concept.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

2023
Quantum Computing Approaches for Vector Quantization - Current Perspectives and Developments.
Entropy, March, 2023

Sparse Nyström Approximation for Non-Vectorial Data Using Class-informed Landmark Selection.
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

Quantum-ready vector quantization: Prototype learning as a binary optimization problem.
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

Efficient Representation of Biochemical Structures for Supervised and Unsupervised Machine Learning Models Using Multi-Sensoric Embeddings.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

2022
Quantum-inspired learning vector quantizers for prototype-based classification.
Neural Comput. Appl., 2022

Multilayer Perceptrons with Banach-Like Perceptrons Based on Semi-inner Products - About Approximation Completeness.
Proceedings of the Artificial Intelligence and Soft Computing, 2022

2021
Quantum-Hybrid Neural Vector Quantization - A Mathematical Approach.
Proceedings of the Artificial Intelligence and Soft Computing, 2021

2020
Quantum-Inspired Learning Vector Quantization for Classification Learning.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020


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