Age-related differences and machine learning-based insights in patients with non-functioning adrenal adenomas

Age-related differences and machine learning-based insights in patients with non-functioning adrenal adenomas. Ana Corlan, Flavia Costi, Emanuel Covaci, Darian Onchis. In: Proceedings of the 27th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2025), September 2025, Timișoara, Romania.

Speed-Performance Balance in Constrained Attention-based Models for Endoscopy Video Sequences

Bargain Speed for Performance in Colonoscopic Video Sequence Segmentation with ConvNeXt and KAN. Radu Răzvan Slăvescu, Daniel-Alexandru Ulics, Kinga Cristina Slăvescu. In: Proceedings of the International Conference on Bioinformatics Research and Applications (ICBRA), September 2025, Prague, Czech Republic (online presentation), DOI: 10.1145/3774976.3774996.

TT-XAI: Trustworthy Clinical Text Explanations via Keyword Distillation and LLM Reasoning

TT-XAI: Trustworthy Clinical Text Explanations via Keyword Distillation and LLM Reasoning. Kristian Miok, Blaz Skrlj, Daniela Zaharie, Marko Robnik-Sikonja. In: Proceedings of the the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2025) – Workshop on Explainable Knowledge Discovery in Data Mining and Unlearning through XAI, September…

MedFusion-LM: Explainable Large Language Model for Transforming Medical Outcomes in Federated Learning with Neural Architecture Search Blueprints

MedFusion-LM: Explainable Large Language Model for Transforming Medical Outcomes in Federated Learning with Neural Architecture Search Blueprints. D. Babuc, T.-F. Fortis. In: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2025) – Workshop on Responsible Healthcare using Machine Learning 2025, September 2025, Porto, Portugalia.

Speed-Performance Balance in Constrained Attention-based Models for Endoscopy Video Sequences

Speed-Performance Balance in Constrained Attention-based Models for Endoscopy Video Sequences. Radu Răzvan Slăvescu, Daniel-Alexandru Ulics, Kinga Cristina Slăvescu. In: Rodolà, E., Galasso, F., Masi, I. (eds) Image Analysis and Processing Innovative Medical image Processing with AI-Driven Precision Technologies Workshop, September 2025, Rome, Italy, DOI: 10.1007/978-3-032-11381-8_10.