Daniel Kaluza

Orcid: 0000-0002-2544-5052

According to our database1, Daniel Kaluza authored at least 7 papers between 2019 and 2023.

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

Timeline

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Links

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Bibliography

2023
On Several New Dempster-Shafer-Inspired Uncertainty Measures Applicable for Active Learning.
Proceedings of the Rough Sets - International Joint Conference, 2023

Traffic Collision Detection Using DenseNet.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2023

Robust Assignment of Labels for Active Learning with Sparse and Noisy Annotations.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
Learning multimodal entity representations and their ensembles, with applications in a data-driven advisory framework for video game players.
Inf. Sci., 2022

EVEAL - Expected Variance Estimation for Active Learning.
Proceedings of the IEEE International Conference on Big Data, 2022

2020
Predicting Escalations in Customer Support: Analysis of Data Mining Challenge Results.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
IEEE BigData 2019 Cup: Suspicious Network Event Recognition.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019


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