Author

Mohamed Karim Belaid

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#machine learning Preprint Oct 2026

Domain-specific language alignment of multimodal embeddings towards explainable predictions

Multimodal data are commonly fused into latent representations that improve downstream task performance but are not interpretable, limiting their application in domains that require explainable model decisions. Vision-language alignment has made image embeddings interpretable through language, but requires vast image-c...

Gabriele Tijunaityte, T. L. van der Plas, M. Belaid et al. · 0 citations

#artificial intelligence Open access Oct 2026

Efficient Pairwise Difference Learning: A Comparative Study of Encoding Strategies and Training Pair Selection

Experiments across nearly 200 benchmark classification datasets using Decision Tree, Multilayer Perceptron, Gaussian Naive Bayes, and Support Vector Classifier as base models reveal that the proposed triplet with absolute difference encoder achieves the highest average F1 scores.

Bernard Georges, Mohamed Karim Belaid, Manuel Rodrigues · WorldCIST · 0 citations