To design and develop AI-based systems that users and the larger public can justifiably
trust, one needs to understand how machine learning technologies impact trust. To guide …

Provenance refers to any information describing the production process of an end product,
which can be anything from a piece of digital data to a physical object. While this survey …

Visual reasoning refers to the process of solving questions about visual information. At
present, most visual reasoning models are mainly based on deep learning and end-to-end …

Database management systems (or DBMSs) have been around for decades, and yet are still
difficult to use, particularly when trying to identify and fix errors in user programs (or queries) …

A Web repository is a large special-purpose collection of Web pages and associated
indexes. Many useful queries and computations over such repositories involve traversal and …

Data provenance has evolved from a niche topic to a mainstream area of research in
databases and other research communities. This article gives a comprehensive introduction …

As key decisions are often made based on information contained in a database, it is
important for the database to be as complete and correct as possible. For this reason, many …

This work considers why-not questions in the context of top-k queries and score-based
ranking functions. Following the popular linear scalarization approach for multi-objective …

When analyzing large datasets, analysts are often interested in the explanations for
unexpected results produced by their queries. In this work, we focus on aggregate SQL …

Why and why-not provenance have been studied extensively in recent years. However, why-
not provenance, and to a lesser degree why provenance, can be very large resulting in …