Vanja Doskoc

21 papers A 3B 3C 5Journal 9
YearRankTypeTitle / Venue / Authors
2025 B conf
Text Image Super-Resolution for Improved OCR in Real-Life Scenarios using Swin Transformers.
DocEng
Philipp Hildebrandt, Maximilian Schulze, Sarel Cohen, Vanja Doskoc, Raid Saabni, Tobias Friedrich
2024 J jnl
Maps for learning indexable classes.
Comput.
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
2023 — —
Mapping restrictions in behaviourally correct learning
Vanja Doskoc
2023 C conf
Sustainable On-Street Parking Mapping with Deep Learning and Airborne Imagery.
IDEAL
Bashini K. Mahaarachchi, Sarel Cohen, Bodo Bookhagen, Vanja Doskoc, Tobias Friedrich
2022 C conf
Maps of Restrictions for Behaviourally Correct Learning.
CiE
Vanja Doskoc, Timo Kötzing
2022 B conf
Optical character recognition guided image super resolution.
DocEng
Philipp Hildebrandt, Maximilian Schulze, Sarel Cohen, Vanja Doskoc, Raid Saabni, Tobias Friedrich
2022 A conf
Towards explainable real estate valuation via evolutionary algorithms.
GECCO
Sebastian Angrick, Ben Bals, Niko Hastrich, Maximilian Kleissl, Jonas Schmidt, Vanja Doskoc, Louise Molitor, Tobias Friedrich, Maximilian Katzmann
2021 J jnl
Adaptive Sampling for Fast Constrained Maximization of Submodular Function.
CoRR
Francesco Quinzan, Vanja Doskoc, Andreas Göbel, Tobias Friedrich
2021 A conf
Adaptive Sampling for Fast Constrained Maximization of Submodular Functions.
AISTATS
Francesco Quinzan, Vanja Doskoc, Andreas Göbel, Tobias Friedrich
2021 C conf
Learning Languages with Decidable Hypotheses.
CiE
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
2021 C conf
Mapping Monotonic Restrictions in Inductive Inference.
CiE
Vanja Doskoc, Timo Kötzing
2021 C conf
Normal Forms for Semantically Witness-Based Learners in Inductive Inference.
CiE
Vanja Doskoc, Timo Kötzing
2021 J jnl
Towards Explainable Real Estate Valuation via Evolutionary Algorithms.
CoRR
Sebastian Angrick, Ben Bals, Niko Hastrich, Maximilian Kleissl, Jonas Schmidt, Vanja Doskoc, Maximilian Katzmann, Louise Molitor, Tobias Friedrich
2020 B conf
Cautious Limit Learning.
ALT
Vanja Doskoc, Timo Kötzing
2020 J jnl
Learning Languages with Decidable Hypotheses.
CoRR
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
2020 J jnl
Mapping Monotonic Restrictions in Inductive Inference.
CoRR
Vanja Doskoc, Timo Kötzing
2020 J jnl
Maps for Learning Indexable Classes.
CoRR
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
2020 A conf
Non-Monotone Submodular Maximization with Multiple Knapsacks in Static and Dynamic Settings.
ECAI
Vanja Doskoc, Tobias Friedrich, Andreas Göbel, Aneta Neumann, Frank Neumann, Francesco Quinzan
2020 J jnl
Normal Forms for (Semantically) Witness-Based Learners in Inductive Inference.
CoRR
Vanja Doskoc, Timo Kötzing
2020 J jnl
timeXplain - A Framework for Explaining the Predictions of Time Series Classifiers.
CoRR
Felix Mujkanovic, Vanja Doskoc, Martin Schirneck, Patrick Schäfer, Tobias Friedrich
2019 J jnl
Non-Monotone Submodular Maximization with Multiple Knapsacks in Static and Dynamic Settings.
CoRR
Vanja Doskoc, Tobias Friedrich, Andreas Göbel, Frank Neumann, Aneta Neumann, Francesco Quinzan