Daniel Kaluza

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 8

Top Topics

Active Learning

Ground Truth Labels

Dempster Shafer

Top Venues

Publications

Daniel Kaluza, Marco Seiler, Rasha F. Kashef
Traffic Collision Detection Using DenseNet. IEEM (2023)
Daniel Kaluza, Andrzej Janusz, Dominik Slezak
Robust Assignment of Labels for Active Learning with Sparse and Noisy Annotations. ECAI (2023)
Daniel Kaluza, Andrzej Janusz, Dominik Slezak
On Several New Dempster-Shafer-Inspired Uncertainty Measures Applicable for Active Learning. IJCRS (2023)
Daniel Kaluza, Andrzej Janusz, Dominik Slezak
Robust Assignment of Labels for Active Learning with Sparse and Noisy Annotations. CoRR (2023)
Andrzej Janusz, Daniel Kaluza, Maciej Matraszek, Lukasz Grad, Maciej Swiechowski, Dominik Slezak
Learning multimodal entity representations and their ensembles, with applications in a data-driven advisory framework for video game players. Inf. Sci. 617 (2022)
Daniel Kaluza, Andrzej Janusz, Dominik Slezak
EVEAL - Expected Variance Estimation for Active Learning. Big Data (2022)
Andrzej Janusz, Guohua Hao, Daniel Kaluza, Tony Li, Robert Wojciechowski, Dominik Slezak
Predicting Escalations in Customer Support: Analysis of Data Mining Challenge Results. IEEE BigData (2020)
Andrzej Janusz, Daniel Kaluza, Agnieszka Chadzynska-Krasowska, Bartek Konarski, Joel Holland, Dominik Slezak
IEEE BigData 2019 Cup: Suspicious Network Event Recognition. IEEE BigData (2019)