3 papers
cs.IR2026
PETRA: Transforming Web Text for Petroleum-Engineering Domain Adaptation
Kirill Dubovikov, Omar El Mansouri, Hachem Madmoun +12
Petroleum-engineering search exposes a supervision gap for strong general retrievers: relevant evidence exists in public web text, but domain relevance labels are scarce. To addres…
cs.CL2025
Enhancing BERT Fine-Tuning for Sentiment Analysis in Lower-Resourced Languages
Jozef Kubík, Marek Šuppa, Martin Takáč
Limited data for low-resource languages typically yield weaker language models (LMs). Since pre-training is compute-intensive, it is more pragmatic to target improvements during fi…
cs.CV2025
MedNNS: Supernet-based Medical Task-Adaptive Neural Network Search
Lotfi Abdelkrim Mecharbat, Ibrahim Almakky, Martin Takac +1
Deep learning (DL) has achieved remarkable progress in the field of medical imaging. However, adapting DL models to medical tasks remains a significant challenge, primarily due to…