Oliver Dürr

Orcid: 0000-0003-2271-8630

According to our database1, Oliver Dürr authored at least 22 papers between 2012 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Bayesian Semi-structured Subspace Inference.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Short-Term Density Forecasting of Low-Voltage Load Using Bernstein-Polynomial Normalizing Flows.
IEEE Trans. Smart Grid, November, 2023

Single-shot Bayesian approximation for neural networks.
CoRR, 2023

Bayesian Calibration of MEMS Accelerometers.
CoRR, 2023

2022
Deep and interpretable regression models for ordinal outcomes.
Pattern Recognit., 2022

Bernstein Flows for Flexible Posteriors in Variational Bayes.
CoRR, 2022

2021
Transformation Models for Flexible Posteriors in Variational Bayes.
CoRR, 2021

2020
Integrating uncertainty in deep neural networks for MRI based stroke analysis.
Medical Image Anal., 2020

Ordinal Neural Network Transformation Models: Deep and interpretable regression models for ordinal outcomes.
CoRR, 2020

Single Shot MC Dropout Approximation.
CoRR, 2020

Deep transformation models: Tackling complex regression problems with neural network based transformation models.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Bone erosion scoring for rheumatoid arthritis with deep convolutional neural networks.
Comput. Electr. Eng., 2019

Beyond ImageNet: Deep Learning in Industrial Practice.
Proceedings of the Applied Data Science - Lessons Learned for the Data-Driven Business, 2019

2018
Capturing Suprasegmental Features of a Voice with RNNs for Improved Speaker Clustering.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018

Learning Neural Models for End-to-End Clustering.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018

2017
Learning embeddings for speaker clustering based on voice equality.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

2016
Speaker identification and clustering using convolutional neural networks.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

2015
Deep Learning on a Raspberry Pi for Real Time Face Recognition.
Proceedings of the 36th Annual Conference of the European Association for Computer Graphics, 2015

2014
JOINT_FORCES: Unite Competing Sentiment Classifiers with Random Forest.
Proceedings of the 8th International Workshop on Semantic Evaluation, 2014

Meta-Classifiers Easily Improve Commercial Sentiment Detection Tools.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

2013
Potential and Limitations of Commercial Sentiment Detection Tools.
Proceedings of the First International Workshop on Emotion and Sentiment in Social and Expressive Media: approaches and perspectives from AI (ESSEM 2013) A workshop of the XIII International Conference of the Italian Association for Artificial Intelligence (AI*IA 2013), 2013

2012
Using Community Structure for Complex Network Layout
CoRR, 2012


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