We propose and implement a method to analyze time series with a neural
n...
Differential replication through copying refers to the process of replic...
We describe a method for approximating a single-variable function f usin...
Neural networks are more expressive when they have multiple layers. In t...
Regression problems have been widely studied in machinelearning literatu...
When deployed in the wild, machine learning models are usually confronte...
Nowadays, the use of machine learning models is becoming a utility in ma...
Copies have been proposed as a viable alternative to endow machine learn...
We study model-agnostic copies of machine learning classifiers. We devel...
In this paper we propose a method to obtain global explanations for trai...
Learning to count is a learning strategy that has been recently proposed...
Error Correcting Output Codes (ECOC) is a successful technique in multi-...
We present an application of gesture recognition using an extension of
D...