Jan Philip Göpfert

Orcid: 0000-0003-1982-9399

According to our database1, Jan Philip Göpfert authored at least 20 papers between 2014 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2022
Robustness in Machine Learning: Adversarial Perturbations, Explanations & Intuition.
PhD thesis, 2022

Intuitiveness in Active Teaching.
IEEE Trans. Hum. Mach. Syst., 2022

Interpretable Locally Adaptive Nearest Neighbors.
Neurocomputing, 2022

Explainable Artificial Intelligence for Improved Modeling of Processes.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022

2021
Towards an automatic analysis of CHO-K1 suspension growth in microfluidic single-cell cultivation.
Bioinform., 2021

How to Compare Adversarial Robustness of Classifiers from a Global Perspective.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020
Deep Learning for Understanding Satellite Imagery: An Experimental Survey.
Frontiers Artif. Intell., 2020

Why robots should be technical: Correcting mental models through technical architecture concepts.
CoRR, 2020

Adversarial examples and where to find them.
CoRR, 2020

Adversarial Attacks Hidden in Plain Sight.
Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

Prototype-Based Online Learning on Homogeneously Labeled Streaming Data.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Locally Adaptive Nearest Neighbors.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019
Adversarial attacks hidden in plain sight.
CoRR, 2019

Adversarial Robustness Curves.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Recovering Localized Adversarial Attacks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

2018
Interpretation of linear classifiers by means of feature relevance bounds.
Neurocomputing, 2018

Classification of motor errors to provide real-time feedback for sports coaching in virtual reality - A case study in squats and Tai Chi pushes.
Comput. Graph., 2018

Mitigating Concept Drift via Rejection.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017
Effects of variability in synthetic training data on convolutional neural networks for 3D head reconstruction.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

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


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