As the twin movements of open science and open source bring an ever greater share of the
scientific process into the digital realm, new opportunities arise for the meta-scientific study …

Obfuscation is a prevalent security technique which transforms syntactic representation of a
program to a complicated form, but still keeps program semantics unchanged. So far …

The term serendipity describes a creative process that develops, in context, with the active
participation of a creative agent, but not entirely within that agent's control. While a system …

We introduce topological differential testing (TDT), an approach to extracting the consensus
behavior of a set of programs on a corpus of inputs. TDT uses the topological notion of a …

Large language models (LLMs) are capable of producing documents, and retrieval
augmented generation (RAG) has shown itself to be a powerful method for improving …

The process industries rely on various software systems and use a wide range of
technologies. Predictive modeling techniques are often applied to data obtained from these …

Ontologies are usually applied to drive intelligent applications and also as a resource for
integrating or extracting information, as in the case of Natural Language Processing (NLP) …

This paper proposes a knowledge-driven AutoML architecture for pipeline and deep feature
synthesis. The main goal is to render the AutoML process explainable and to leverage …

The principal goal of data science is to derive meaningful information from data. To do this,
data scientists develop a space of analytic possibilities and from it reach their information …

Data, algorithms, and compute/storage infrastructure are key assets that drive data science
and artificial intelligence applications. As providing all these assets requires a huge …