We propose a novel hashing scheme for image retrieval, clustering and automatic object
discovery. Unlike commonly used bag-of-words approaches, the spatial extent of image …

Decision trees (DTs) are a type of machine learning technique used for classification and
regression problems. They are considered to be a part of explainable artificial intelligence …

Fractional hedonic games are coalition formation games where the utility of a player is
determined by the average value they assign to the members of their coalition. These games …

Large networks are useful in a wide range of applications. Sometimes problem instances
are composed of billions of entities. Decomposing and analyzing these structures helps us …

The study of algorithmic fairness received growing attention recently. This stems from the
awareness that bias in the input data for machine learning systems may result in …

The existence of a densely knit core surrounded by a loosely connected periphery is a
common macro-structural feature of social networks. Formally, the CorePeriphery problem is …