Vanja Doskoc

According to our database, Vanja Doskoc authored at least 14 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Mapping restrictions in behaviourally correct learning

Vanja Doskoc

PhD thesis, 2023

Sustainable On-Street Parking Mapping with Deep Learning and Airborne Imagery.

Bashini K. Mahaarachchi, Sarel Cohen, Bodo Bookhagen, Vanja Doskoc, Tobias Friedrich

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023

2022

Towards explainable real estate valuation via evolutionary algorithms.

Sebastian Angrick, Ben Bals, Niko Hastrich, Maximilian Kleissl, Jonas Schmidt, Vanja Doskoc, Louise Molitor, Tobias Friedrich, Maximilian Katzmann

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Optical character recognition guided image super resolution.

Philipp Hildebrandt, Maximilian Schulze, Sarel Cohen, Vanja Doskoc, Raid Saabni, Tobias Friedrich

Proceedings of the 22nd ACM Symposium on Document Engineering, 2022

Maps of Restrictions for Behaviourally Correct Learning.

Vanja Doskoc, Timo Kötzing

Proceedings of the Revolutions and Revelations in Computability, 2022

2021

Adaptive Sampling for Fast Constrained Maximization of Submodular Function.

Francesco Quinzan, Vanja Doskoc, Andreas Göbel, Tobias Friedrich

CoRR, 2021

Normal Forms for Semantically Witness-Based Learners in Inductive Inference.

Vanja Doskoc, Timo Kötzing

Proceedings of the Connecting with Computability, 2021

Mapping Monotonic Restrictions in Inductive Inference.

Vanja Doskoc, Timo Kötzing

Proceedings of the Connecting with Computability, 2021

Learning Languages with Decidable Hypotheses.

Julian Berger, Maximilian Böther, Vanja Doskoc, Jonathan Gadea Harder, Nicolas Klodt, Timo Kötzing, Winfried Lötzsch, Jannik Peters, Leon Schiller, Lars Seifert, Armin Wells, Simon Wietheger

Proceedings of the Connecting with Computability, 2021

Adaptive Sampling for Fast Constrained Maximization of Submodular Functions.

Francesco Quinzan, Vanja Doskoc, Andreas Göbel, Tobias Friedrich

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Maps for Learning Indexable Classes.

Julian Berger, Maximilian Böther, Vanja Doskoc, Jonathan Gadea Harder, Nicolas Klodt, Timo Kötzing, Winfried Lötzsch, Jannik Peters, Leon Schiller, Lars Seifert, Armin Wells, Simon Wietheger

CoRR, 2020

timeXplain - A Framework for Explaining the Predictions of Time Series Classifiers.

Felix Mujkanovic, Vanja Doskoc, Martin Schirneck, Patrick Schäfer, Tobias Friedrich

CoRR, 2020

Non-Monotone Submodular Maximization with Multiple Knapsacks in Static and Dynamic Settings.

Vanja Doskoc, Tobias Friedrich, Andreas Göbel, Aneta Neumann, Frank Neumann, Francesco Quinzan

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Cautious Limit Learning.

Vanja Doskoc, Timo Kötzing

Proceedings of the Algorithmic Learning Theory, 2020