2 citations · 4 across the 5 of their papers we have counts for
5 papers
Benchmarking federated strategies in Peer-to-Peer Federated learning for biomedical data
Jose L. Salmeron, Irina Arévalo, Antonio Ruiz-Celma
The increasing requirements for data protection and privacy has attracted a huge research interest on distributed artificial intelligence and specifically on federated learning, an…
A privacy-preserving, distributed and cooperative FCM-based learning approach for cancer research
Jose L. Salmeron, Irina Arévalo
Distributed Artificial Intelligence is attracting interest day by day. In this paper, the authors introduce an innovative methodology for distributed learning of Particle Swarm Opt…
Redesigning Decision Matrix Method with an indeterminacy-based inference process
Jose L. Salmeron, Florentin Smarandache
For academics and practitioners concerned with computers, business and mathematics, one central issue is supporting decision makers. In this paper, we propose a generalization of D…
Computational Modeling in Applied Problems: collected papers on econometrics, operations research, game theory and simulation
Florentin Smarandache, Sukanto Bhattacharya, Mohammad Khoshnevisan +5
Computational models pervade all branches of the exact sciences and have in recent times also started to prove to be of immense utility in some of the traditionally 'soft' sciences…
Processing Uncertainty and Indeterminacy in Information Systems success mapping
Jose L. Salmeron, Florentin Smarandache
IS success is a complex concept, and its evaluation is complicated, unstructured and not readily quantifiable. Numerous scientific publications address the issue of success in the…