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Sahib Julka
Sahib Julka
Verified email at uni-passau.de
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Year
Recognition of echolalic autistic child vocalisations utilising convolutional recurrent neural networks
S Amiriparian, A Baird, S Julka, A Alcorn, S Ottl, S Petrović, E Ainger, ...
162018
Deep convolutional recurrent neural network for rare acoustic event detection
S Amiriparian, N Cummins, S Julka, B Schuller
Proc. DAGA, 1522-1525, 2018
132018
Day-ahead forecasting of the percentage of renewables based on time-series statistical methods
R Basmadjian, A Shaafieyoun, S Julka
Energies 14 (21), 7443, 2021
72021
Conditional generative adversarial networks for speed control in trajectory simulation
S Julka, V Sowrirajan, J Schloetterer, M Granitzer
Machine Learning, Optimization, and Data Science: 7th International …, 2022
42022
Lessons learned from the 1st ariel machine learning challenge: Correcting transiting exoplanet light curves for stellar spots
N Nikolaou, IP Waldmann, A Tsiaras, M Morvan, B Edwards, KH Yip, ...
arXiv preprint arXiv:2010.15996, 2020
42020
Automatic detection of bow shock and magnetopause boundaries at Mercury using MESSENGER magnetometer data
D Nevskii, D Parunakian, A Lavrukhin, S Julka, M Granitzer
44th COSPAR Scientific Assembly. Held 16-24 July 44, 475, 2022
2022
Machine Learning, Optimization, and Data Science: 7th International Conference, LOD 2021, Grasmere, UK, October 4–8, 2021, Revised Selected Papers, Part II
G Nicosia, V Ojha, E La Malfa, G La Malfa, G Jansen, PM Pardalos, ...
Springer Nature, 2022
2022
Determination of magnetopause and bow shock shape based on convolutional neural network modelling of MESSENGER data
A Lavrukhin, D Parunakian, D Nevsky, S Julka, M Granitzer, A Windisch, ...
European Planetary Science Congress, EPSC2021-651, 2021
2021
Spatio-Temporal Machine Learning Analysis of Social Media Data and Refugee Movement Statistics
C Havas, L Wendlinger, J Stier, S Julka, V Krieger, C Ferner, ...
ISPRS International Journal of Geo-Information 10 (8), 498, 2021
2021
Generative Adversarial Networks for automatic detection of mounds in Digital Terrain Models (Mars Arabia Terra)
S Julka, M Granitzer, B De Toffoli, L Penasa, R Pozzobon, U Amerstorfer
EGU General Assembly Conference Abstracts, EGU21-9188, 2021
2021
Automatic detection of magnetopause and bow shock crossing signatures in MESSENGER magnetometer data
A Lavrukhin, D Parunakian, D Nevskiy, U Amerstorfer, A Windisch, ...
European Planetary Science Congress, EPSC2020-826, 2020
2020
Echtzeit-Lagebild für effizientes Migrationsmanagement zur Gewährleistung humanitärer Sicherheit (HUMAN+); Teilvorhaben: Integrative Echtzeit Lage-und Vorhersagemodelle für …
M Granitzer, S Julka, J Stier, L Wendlinger
Universität Passau, 2020
2020
Deep Active Learning for Detection of Mercury’s Bow Shock and Magnetopause Crossings
S Julka, N Kirschstein, M Granitzer, A Lavrukhin, U Amerstorfer
Generative Adversarial Networks for automatic detection of mounds in Mars Arabia Terra.
S Julka, M Granitzer, B De Toffoli, L Penasa, R Pozzobon, U Amerstorfer
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