Recognition of Echolalic Autistic Child Vocalisations Utilising Convolutional Recurrent Neural Networks. - Shahin Amiriparian; Alice Baird; Sahib Julka; Alyssa Alcorn; Sandra Ottl; Suncica Petrovic; Eloise Ainger; Nicholas Cummins; Björn W. Schuller (INTERSPEECH, 2018)

Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots. - 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; et al. (CoRR, 2020)

Conditional Generative Adversarial Networks for Speed Control in Trajectory Simulation. - Sahib Julka; Vishal Sowrirajan; Joerg Schloetterer; Michael Granitzer (LOD, 2021)

Spatio-Temporal Machine Learning Analysis of Social Media Data and Refugee Movement Statistics. - Clemens Havas; Lorenz Wendlinger; Julian Stier; Sahib Julka; Veronika Krieger; Cornelia Ferner; Andreas Petutschnig; Michael Granitzer; Stefan Wegenkittl; Bernd Resch (ISPRS Int. J. Geo Inf., 2021)

Deep Active Learning for Detection of Mercury's Bow Shock and Magnetopause Crossings. - Sahib Julka; Nikolas Kirschstein; Michael Granitzer; Alexander Lavrukhin; Ute V. Amerstorfer (ECML/PKDD (4), 2022)

Knowledge Distillation with Segment Anything (SAM) Model for Planetary Geological Mapping. - Sahib Julka; Michael Granitzer (LOD (1), 2023)

Deep Active Learning with Concept Drifts for Detection of Mercury's Bow Shock and Magnetopause Crossings. - Sahib Julka; Rodion Ishmukhametov; Michael Granitzer (LOD (1), 2023)

Towards an Improved Metric for Evaluating Disentangled Representations. - Sahib Julka; Yashu Wang; Michael Granitzer (ICKG, 2024)

Leveraging Graph Networks and Generative Adversarial Networks for Controllable Trajectory Predictions. - Sahib Julka; Ahmad Zubair; Michael Granitzer (LOD (1), 2024)

LLMs in the Loop: Leveraging Large Language Model Annotations for Active Learning in Low-Resource Languages. - Nataliia Kholodna; Sahib Julka; Mohammad Khodadadi; Muhammed Nurullah Gumus; Michael Granitzer (ECML/PKDD (10), 2024)

DriftGAN: Using historical data for Unsupervised Recurring Drift Detection. - Christofer Fellicious; Sahib Julka; Lorenz Wendlinger; Michael Granitzer (SAC, 2024)