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Denis Huseljic
Denis Huseljic
Verified email at uni-kassel.de
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Year
Challenges of reliable, realistic and comparable active learning evaluation
D Kottke, A Calma, D Huseljic, GM Krempl, B Sick
Proceedings of the Workshop and Tutorial on Interactive Adaptive Learning, 2-14, 2017
372017
Toward optimal probabilistic active learning using a Bayesian approach
D Kottke, M Herde, C Sandrock, D Huseljic, G Krempl, B Sick
Machine Learning 110 (6), 1199-1231, 2021
232021
Separation of aleatoric and epistemic uncertainty in deterministic deep neural networks
D Huseljic, B Sick, M Herde, D Kottke
2020 25th International Conference on Pattern Recognition (ICPR), 9172-9179, 2021
232021
Out-of-distribution detection and generation using soft brownian offset sampling and autoencoders
F Moller, D Botache, D Huseljic, F Heidecker, M Bieshaar, B Sick
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
232021
A survey on cost types, interaction schemes, and annotator performance models in selection algorithms for active learning in classification
M Herde, D Huseljic, B Sick, A Calma
IEEE Access 9, 166970-166989, 2021
202021
Limitations of assessing active learning performance at runtime
D Kottke, J Schellinger, D Huseljic, B Sick
arXiv preprint arXiv:1901.10338, 2019
142019
Multi-annotator probabilistic active learning
M Herde, D Kottke, D Huseljic, B Sick
2020 25th International Conference on Pattern Recognition (ICPR), 10281-10288, 2021
62021
The other human in the loop–A pilot study to find selection strategies for active learning
D Kottke, A Calma, D Huseljic, C Sandrock, G Kachergis, B Sick
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
42018
Towards proactive health-enabling living environments: Simulation-based study and research challenges
S Tomforde, T Dehling, R Haux, D Huseljic, D Kottke, J Scheerbaum, ...
ARCS Workshop 2018; 31th International Conference on Architecture of …, 2018
42018
Enhancing Active Learning with Weak Supervision and Transfer Learning by Leveraging Information and Knowledge Sources.
L Rauch, D Huseljic, B Sick
IAL@ PKDD/ECML, 27-42, 2022
32022
Who knows best? A Case Study on Intelligent Crowdworker Selection via Deep Learning
M Herde, D Huseljic, B Sick, U Bretschneider, S Oeste-Reiß
Int. Workshop on Interact. Adapt. Learn.@ Eur. Conf. Mach. Learn, 14-18, 2023
12023
ActiveGLAE: A Benchmark for Deep Active Learning with Transformers
L Rauch, M Aßenmacher, D Huseljic, M Wirth, B Bischl, B Sick
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023
12023
Fast Bayesian Updates for Deep Learning with a Use Case in Active Learning
M Herde, Z Huang, D Huseljic, D Kottke, S Vogt, B Sick
arXiv preprint arXiv:2210.06112, 2022
12022
Active Label Refinement for Semantic Segmentation of Satellite Images
TP Minh, J Wijesingha, D Kottke, M Herde, D Huseljic, B Sick, ...
arXiv preprint arXiv:2309.06159, 2023
2023
Active Label Refinement for Semantic Segmentation of Satellite Images
T Pham Minh, J Wijesingha, D Kottke, M Herde, D Huseljic, B Sick, ...
arXiv e-prints, arXiv: 2309.06159, 2023
2023
Multi-annotator Deep Learning: A Probabilistic Framework for Classification
M Herde, D Huseljic, B Sick
arXiv preprint arXiv:2304.02539, 2023
2023
Role of Hyperparameters in Deep Active Learning
D Huseljic, M Herde, P Hahn, B Sick
2023
Active Learning with Fast Model Updates and Class-Balanced Selection for Imbalanced Datasets
Z Huang, Y He, M Herde, D Huseljic, B Sick
2023
A Review of Uncertainty Calibration in Pretrained Object Detectors
D Huseljic, M Herde, M Muejde, B Sick
arXiv preprint arXiv:2210.02935, 2022
2022
A Concept for Highly Automated Pre-Labeling via Cross-Domain Label Transfer for Perception in Autonomous Driving.
M Bieshaar, M Herde, D Huseljic, B Sick
IAL@ PKDD/ECML, 65-69, 2021
2021
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