Newly Accepted Papers: DMB Research Highlights

We are proud to share several recent research achievements by our members and collaborators. These newly accepted and published papers reflect DMB’s strong contributions to machine learning, computer vision, and systems safety across diverse application domains.

📜 Daniela Herrera Montes de Oca is going to present her paper "Hierarchical Frequency Regularization for Out-of-Distribution Detection in Generative Models for Medical Images" at ISBI 2026. "Out-of-Distribution Detection" identifies attempts use of a machine learning model with data (medical images in this case) that it has not been trained for. One cannot trust a model to perform reliably in such cases. Daniela is a PhD candidate in the DMB group supervised by DMB's Alexia Briassouli.

📜 NALWANGA ROSEMARY got her paper "Multi-Crop Disease Detection in Computer Vision for Resource-Constrained Farms—A Review" published in IEEE Access. The paper aims to identify the opportunities and challenges in Computer Vision and Machine Learning in the field of multi-crop disease detection for resource-constrained farms. It encompasses data acquisition, datasets, data preprocessing, multimodal data fusion, model training, and edge deployment. Rosemary is PhD candidate of Busitema University in Uganda, co-supervised by DBM's Estefanía Talavera and currently visiting DMB group. 

📜 Hans Wienen got his paper "TRAM: The Telecommunications-Related AcciMap Method" published in Springer Nature Computer Science. The paper presents an accident analysis method to learn from accidents in telecommunication networks. Hans is PhD candidate in Semantics, Cybersecurity, and Services (SCS) group co-supervised by DMB's Faiza A. Bukhsh.