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2020 – today
- 2023
[b1]Vanja Doskoc:
Mapping restrictions in behaviourally correct learning. University of Potsdam, Germany, 2023- [c10]Bashini K. Mahaarachchi
, Sarel Cohen, Bodo Bookhagen, Vanja Doskoc, Tobias Friedrich:
Sustainable On-Street Parking Mapping with Deep Learning and Airborne Imagery. IDEAL 2023: 209-221 - [d1]Vanja Doskoc, Tobias Friedrich, Niko Hastrich, Maximilian Katzmann:
Code for: Faster Nearest Neighbors Queries on Geographic Data. Zenodo, 2023
- 2022
- [c9]Vanja Doskoc, Timo Kötzing:
Maps of Restrictions for Behaviourally Correct Learning. CiE 2022: 103-114 - [c8]Philipp Hildebrandt, Maximilian Schulze, Sarel Cohen, Vanja Doskoc, Raid Saabni, Tobias Friedrich:
Optical character recognition guided image super resolution. DocEng 2022: 14:1-14:4 - [c7]Sebastian Angrick, Ben Bals, Niko Hastrich, Maximilian Kleissl, Jonas Schmidt, Vanja Doskoc, Louise Molitor, Tobias Friedrich, Maximilian Katzmann:
Towards explainable real estate valuation via evolutionary algorithms. GECCO 2022: 1130-1138 - 2021
- [c6]Francesco Quinzan, Vanja Doskoc, Andreas Göbel, Tobias Friedrich:
Adaptive Sampling for Fast Constrained Maximization of Submodular Functions. AISTATS 2021: 964-972 - [c5]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:
Learning Languages with Decidable Hypotheses. CiE 2021: 25-37 - [c4]Vanja Doskoc, Timo Kötzing:
Mapping Monotonic Restrictions in Inductive Inference. CiE 2021: 146-157 - [c3]Vanja Doskoc, Timo Kötzing:
Normal Forms for Semantically Witness-Based Learners in Inductive Inference. CiE 2021: 158-168 - [i8]Francesco Quinzan, Vanja Doskoc, Andreas Göbel, Tobias Friedrich:
Adaptive Sampling for Fast Constrained Maximization of Submodular Function. CoRR abs/2102.06486 (2021) - [i7]Sebastian Angrick, Ben Bals, Niko Hastrich, Maximilian Kleissl, Jonas Schmidt, Vanja Doskoc, Maximilian Katzmann, Louise Molitor, Tobias Friedrich:
Towards Explainable Real Estate Valuation via Evolutionary Algorithms. CoRR abs/2110.05116 (2021) - 2020
- [c2]Vanja Doskoc, Timo Kötzing:
Cautious Limit Learning. ALT 2020: 251-276 - [c1]Vanja Doskoc, Tobias Friedrich, Andreas Göbel, Aneta Neumann, Frank Neumann, Francesco Quinzan:
Non-Monotone Submodular Maximization with Multiple Knapsacks in Static and Dynamic Settings. ECAI 2020: 435-442 - [i6]Felix Mujkanovic, Vanja Doskoc, Martin Schirneck, Patrick Schäfer, Tobias Friedrich:
timeXplain - A Framework for Explaining the Predictions of Time Series Classifiers. CoRR abs/2007.07606 (2020) - [i5]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:
Maps for Learning Indexable Classes. CoRR abs/2010.09460 (2020) - [i4]Vanja Doskoc, Timo Kötzing:
Normal Forms for (Semantically) Witness-Based Learners in Inductive Inference. CoRR abs/2010.09461 (2020) - [i3]Vanja Doskoc, Timo Kötzing:
Mapping Monotonic Restrictions in Inductive Inference. CoRR abs/2010.09464 (2020) - [i2]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:
Learning Languages with Decidable Hypotheses. CoRR abs/2011.09866 (2020)
2010 – 2019
- 2019
- [i1]Vanja Doskoc, Tobias Friedrich, Andreas Göbel, Frank Neumann, Aneta Neumann, Francesco Quinzan:
Non-Monotone Submodular Maximization with Multiple Knapsacks in Static and Dynamic Settings. CoRR abs/1911.06791 (2019)
Coauthor Index
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