activity
20182021
most citedImproving Missing Data Imputation with Deep Generative Models

18 citations · 27 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CR2021

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

Ethereum prospered the inception of a plethora of smart contract applications, ranging from gambling games to decentralized finance. However, Ethereum is also considered a highly a…

cs.LG2020

Minority Class Oversampling for Tabular Data with Deep Generative Models

Ramiro Camino, Christian Hammerschmidt, Radu State

In practice, machine learning experts are often confronted with imbalanced data. Without accounting for the imbalance, common classifiers perform poorly and standard evaluation met…

cs.CR20199 cited

A Data Science Approach for Honeypot Detection in Ethereum

Ramiro Camino, Christof Ferreira Torres, Mathis Baden +1

Ethereum smart contracts have recently drawn a considerable amount of attention from the media, the financial industry and academia. With the increase in popularity, malicious user…

cs.LG201918 cited

Improving Missing Data Imputation with Deep Generative Models

Ramiro D. Camino, Christian A. Hammerschmidt, Radu State

Datasets with missing values are very common on industry applications, and they can have a negative impact on machine learning models. Recent studies introduced solutions to the pr…

stat.ML2018

Generating Multi-Categorical Samples with Generative Adversarial Networks

Ramiro Camino, Christian Hammerschmidt, Radu State

We propose a method to train generative adversarial networks on mutivariate feature vectors representing multiple categorical values. In contrast to the continuous domain, where GA…