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2020 – today
- 2024
[c7]Nataliia Kholodna, Sahib Julka, Mohammad Khodadadi, Muhammed Nurullah Gumus, Michael Granitzer:
LLMs in the Loop: Leveraging Large Language Model Annotations for Active Learning in Low-Resource Languages. ECML/PKDD (10) 2024: 397-412- [c6]Christofer Fellicious
, Sahib Julka, Lorenz Wendlinger, Michael Granitzer:
DriftGAN: Using historical data for Unsupervised Recurring Drift Detection. SAC 2024: 368-369 - [i6]Nataliia Kholodna, Sahib Julka, Mohammad Khodadadi, Muhammed Nurullah Gumus, Michael Granitzer:
LLMs in the Loop: Leveraging Large Language Model Annotations for Active Learning in Low-Resource Languages. CoRR abs/2404.02261 (2024) - [i5]Christofer Fellicious, Sahib Julka, Lorenz Wendlinger, Michael Granitzer:
DriftGAN: Using historical data for Unsupervised Recurring Drift Detection. CoRR abs/2407.06543 (2024) - [i4]Sahib Julka, Yashu Wang, Michael Granitzer:
Towards an Improved Metric for Evaluating Disentangled Representations. CoRR abs/2410.03056 (2024) - 2023
- [c5]Sahib Julka, Michael Granitzer:
Knowledge Distillation with Segment Anything (SAM) Model for Planetary Geological Mapping. LOD (1) 2023: 68-77 - [c4]Sahib Julka, Rodion Ishmukhametov, Michael Granitzer:
Deep Active Learning with Concept Drifts for Detection of Mercury's Bow Shock and Magnetopause Crossings. LOD (1) 2023: 390-404 - [i3]Sahib Julka, Michael Granitzer:
Knowledge distillation with Segment Anything (SAM) model for Planetary Geological Mapping. CoRR abs/2305.07586 (2023) - 2022
- [c3]Sahib Julka, Nikolas Kirschstein, Michael Granitzer, Alexander Lavrukhin, Ute V. Amerstorfer:
Deep Active Learning for Detection of Mercury's Bow Shock and Magnetopause Crossings. ECML/PKDD (4) 2022: 452-467 - 2021
- [j1]Clemens Havas, Lorenz Wendlinger, Julian Stier, Sahib Julka, Veronika Krieger, Cornelia Ferner, Andreas Petutschnig, Michael Granitzer, Stefan Wegenkittl, Bernd Resch:
Spatio-Temporal Machine Learning Analysis of Social Media Data and Refugee Movement Statistics. ISPRS Int. J. Geo Inf. 10(8): 498 (2021) - [c2]Sahib Julka, Vishal Sowrirajan, Joerg Schloetterer, Michael Granitzer:
Conditional Generative Adversarial Networks for Speed Control in Trajectory Simulation. LOD 2021: 436-450 - [i2]Sahib Julka, Vishal Sowrirajan, Jörg Schlötterer, Michael Granitzer:
Conditional Generative Adversarial Networks for Speed Control in Trajectory Simulation. CoRR abs/2103.11471 (2021) - 2020
- [i1]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:
Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots. CoRR abs/2010.15996 (2020)
2010 – 2019
- 2018
- [c1]Shahin Amiriparian, Alice Baird, Sahib Julka, Alyssa Alcorn, Sandra Ottl, Suncica Petrovic, Eloise Ainger, Nicholas Cummins, Björn W. Schuller:
Recognition of Echolalic Autistic Child Vocalisations Utilising Convolutional Recurrent Neural Networks. INTERSPEECH 2018: 2334-2338
Coauthor Index
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last updated on 2024-11-08 21:29 CET by the dblp team
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