Finding Suspicious Activities in Financial Transactions and Distributed Ledgers. - Ramiro Daniel Camino; Radu State; Leandro Montero; Petko Valtchev (ICDM Workshops, 2017)

On non-parametric models for detecting outages in the mobile network. - Eric Falk; Ramiro Camino; Radu State; Vijay K. Gurbani (IM, 2017)

Generating Multi-Categorical Samples with Generative Adversarial Networks. - Ramiro Camino; Christian A. Hammerschmidt; Radu State (CoRR, 2018)

Improving Missing Data Imputation with Deep Generative Models. - Ramiro Daniel Camino; Christian A. Hammerschmidt; Radu State (CoRR, 2019)

A Data Science Approach for Honeypot Detection in Ethereum. - Ramiro Camino; Christof Ferreira Torres; Radu State (CoRR, 2019)

A Data Science Approach for Detecting Honeypots in Ethereum. - Ramiro Camino; Christof Ferreira Torres; Mathis Baden; Radu State (IEEE ICBC, 2020)

Oversampling Tabular Data with Deep Generative Models: Is it worth the effort? - Ramiro Daniel Camino; Radu State; Christian A. Hammerschmidt (ICBINB@NeurIPS, 2020)

Minority Class Oversampling for Tabular Data with Deep Generative Models. - Ramiro Camino; Christian A. Hammerschmidt; Radu State (CoRR, 2020)

Machine Learning Techniques for Suspicious Transaction Detection and Analysis. - Ramiro Daniel Camino (2020)

Frontrunner Jones and the Raiders of the Dark Forest: An Empirical Study of Frontrunning on the Ethereum Blockchain. - Christof Ferreira Torres; Ramiro Camino; Radu State (USENIX Security Symposium, 2021)

Assessing the Electromagnetic Field Exposure of 5G Transmitters: Challenges & Solutions. - Juan Estrada; Enric Pardo; Ramiro Camino; Sébastien Faye (MobiWac, 2022)

A Survey on EMF-Aware Mobile Network Planning. - Sébastien Faye; Ramiro Camino; Ghaya Rziga; Peiman Alipour Sarvari; Neamah Al-Naffakh; Juan Carlos Estrada Jimenez; Enric Pardo; Djamel Khadraoui (IEEE Access, 2023)