Randomized Classifiers vs Human Decision-Makers: Trustworthy AI May Have to Act Randomly and Society Seems to Accept This

no code implementations • 15 Nov 2021 • Gábor Erdélyi, Olivia J. Erdélyi, Vladimir Estivill-Castro

As \emph{artificial intelligence} (AI) systems are increasingly involved in decisions affecting our lives, ensuring that automated decision-making is fair and ethical has become a top priority.

Decision Making Fairness

Tree Index: A New Cluster Evaluation Technique

no code implementations • 24 Mar 2020 • A. H. Beg, Md Zahidul Islam, Vladimir Estivill-Castro

Our Tree Index produces a decision tree from the clustered data set, using the cluster identifiers as labels.

Clustering Quantization

ROBO: Robust, Fully Neural Object Detection for Robot Soccer

no code implementations • 24 Oct 2019 • Marton Szemenyei, Vladimir Estivill-Castro

Deep Learning has become exceptionally popular in the last few years due to its success in computer vision and other fields of AI.

Efficient Neural Network Object +2

Exploiting Reduction Rules and Data Structures: Local Search for Minimum Vertex Cover in Massive Graphs

no code implementations • 19 Sep 2015 • Yi Fan, Chengqian Li, Zongjie Ma, LjiLjana Brankovic, Vladimir Estivill-Castro, Abdul Sattar

In this paper we propose a local search algorithm that exploits reduction rules and data structures to solve the MinVC problem in such graphs.