Sahib Julka

16 papers A 1Misc 1Journal 7Unranked 7
YearRankTypeTitle / Venue / Authors
2024 Misc conf
DriftGAN: Using historical data for Unsupervised Recurring Drift Detection.
SAC
Christofer Fellicious, Sahib Julka, Lorenz Wendlinger, Michael Granitzer
2024 J jnl
DriftGAN: Using historical data for Unsupervised Recurring Drift Detection.
CoRR
Christofer Fellicious, Sahib Julka, Lorenz Wendlinger, Michael Granitzer
2024 — conf
LLMs in the Loop: Leveraging Large Language Model Annotations for Active Learning in Low-Resource Languages.
ECML/PKDD (10)
Nataliia Kholodna, Sahib Julka, Mohammad Khodadadi, Muhammed Nurullah Gumus, Michael Granitzer
2024 J jnl
LLMs in the Loop: Leveraging Large Language Model Annotations for Active Learning in Low-Resource Languages.
CoRR
Nataliia Kholodna, Sahib Julka, Mohammad Khodadadi, Muhammed Nurullah Gumus, Michael Granitzer
2024 — conf
Leveraging Graph Networks and Generative Adversarial Networks for Controllable Trajectory Predictions.
LOD (1)
Sahib Julka, Ahmad Zubair, Michael Granitzer
2024 — conf
Towards an Improved Metric for Evaluating Disentangled Representations.
ICKG
Sahib Julka, Yashu Wang, Michael Granitzer
2024 J jnl
Towards an Improved Metric for Evaluating Disentangled Representations.
CoRR
Sahib Julka, Yashu Wang, Michael Granitzer
2023 — conf
Deep Active Learning with Concept Drifts for Detection of Mercury's Bow Shock and Magnetopause Crossings.
LOD (1)
Sahib Julka, Rodion Ishmukhametov, Michael Granitzer
2023 — conf
Knowledge Distillation with Segment Anything (SAM) Model for Planetary Geological Mapping.
LOD (1)
Sahib Julka, Michael Granitzer
2023 J jnl
Knowledge distillation with Segment Anything (SAM) model for Planetary Geological Mapping.
CoRR
Sahib Julka, Michael Granitzer
2022 — conf
Deep Active Learning for Detection of Mercury's Bow Shock and Magnetopause Crossings.
ECML/PKDD (4)
Sahib Julka, Nikolas Kirschstein, Michael Granitzer, Alexander Lavrukhin, Ute V. Amerstorfer
2021 — conf
Conditional Generative Adversarial Networks for Speed Control in Trajectory Simulation.
LOD
Sahib Julka, Vishal Sowrirajan, Joerg Schloetterer, Michael Granitzer
2021 J jnl
Conditional Generative Adversarial Networks for Speed Control in Trajectory Simulation.
CoRR
Sahib Julka, Vishal Sowrirajan, Jörg Schlötterer, Michael Granitzer
2021 J jnl
Spatio-Temporal Machine Learning Analysis of Social Media Data and Refugee Movement Statistics.
ISPRS Int. J. Geo Inf.
Clemens Havas, Lorenz Wendlinger, Julian Stier, Sahib Julka, Veronika Krieger, Cornelia Ferner, Andreas Petutschnig, Michael Granitzer, Stefan Wegenkittl, Bernd Resch
2020 J jnl
Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots.
CoRR
Nikolaos Nikolaou, Ingo P. Waldmann, Angelos Tsiaras, Mario Morvan, Billy Edwards, Kai Hou Yip, Giovanna Tinetti, Subhajit Sarkar, James M. Dawson, Vadim Borisov, Gjergji Kasneci, Matej Petkovic, Tomaz Stepisnik, Tarek Al-Ubaidi, Rachel Louise Bailey, Michael Granitzer, Sahib Julka, Roman Kern, Patrick Ofner, Stefan Wagner, Lukas Heppe, Mirko Bunse, Katharina Morik
2018 A conf
Recognition of Echolalic Autistic Child Vocalisations Utilising Convolutional Recurrent Neural Networks.
INTERSPEECH
Shahin Amiriparian, Alice Baird, Sahib Julka, Alyssa Alcorn, Sandra Ottl, Suncica Petrovic, Eloise Ainger, Nicholas Cummins, Björn W. Schuller