2 papers
cs.LG2025
A comparative analysis of rank aggregation methods for the partial label ranking problem
Jiayi Wang, Juan C. Alfaro, Viktor Bengs
The label ranking problem is a supervised learning scenario in which the learner predicts a total order of the class labels for a given input instance. Recently, research has incre…
cs.LG2025
Federated Learning with Discriminative Naive Bayes Classifier
Pablo Torrijos, Juan C. Alfaro, José A. Gámez +1
Federated Learning has emerged as a promising approach to train machine learning models on decentralized data sources while preserving data privacy. This paper proposes a new feder…