Author

Jesús Gil Ruiz

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Open access Oct 2026

Interpretable Machine Learning for Tokenomic Collapse Risk: Evidence from 155 Real-World Tokens and a Small Prospective Holdout

Can a token’s collapse be predicted from design parameters fixed at launch, before it has market history? We compile on-chain data for 155 tokens (79 survived, 76 collapsed) and benchmark seven classifiers under leave-one-out cross-validation. Random Forest attains the highest area under the curve (AUC; 0.909; nested c...

Jesús Gil Ruiz, Rafael Muñoz Gil, Diego Rubén Rodríguez Regadera · Journal of Risk and Financia... · 0 citations

Open access Sep 2026

Many-Objective Optimisation of Global Quantum Internet Topologies: A Compact Parametric Representation with an Analytical BDCZ Oracle

We address the design of global quantum internet topologies that jointly optimise four physical objectives: average end-to-end Werner-state fidelity, entanglement rate, latency and coverage, evaluated with an analytical BDCZ oracle whose path selection is exact under the stated Werner-composition model and whose satell...

Jesús Gil Ruiz, Diego Rubén Rodríguez Regadera, Rafael Muñoz Gil · Entropy · 0 citations