The use of artificial intelligence (AI) is becoming more prevalent across industries such as
healthcare, finance, and transportation. Artificial intelligence is based on the analysis of …

The role of data in building AI systems has recently been significantly magnified by the
emerging concept of data-centric AI (DCAI), which advocates a fundamental shift from model …

Artificial Intelligence (AI) is making a profound impact in almost every domain. A vital enabler
of its great success is the availability of abundant and high-quality data for building machine …

Existing neural models have difficulty generalizing to unseen combinations of seen
components. To achieve compositional generalization, models are required to consistently …

Large diffusion models have been successful in text-to-audio (T2A) synthesis tasks, but they
often suffer from common issues such as semantic misalignment and poor temporal …

The history of artificial intelligence (AI) has witnessed the significant impact of high-quality
data on various deep learning models, such as ImageNet for AlexNet and ResNet. Recently …

With the exponential growth of computational power and the availability of large-scale
datasets in recent years, remarkable advancements have been made in the field of artificial …

As organizations accumulate vast amounts of data for analysis, a significant challenge
remains in fully understanding these datasets to extract accurate information and generate …

Abstract ydata-profiling is an open-source Python package for advanced exploratory data
analysis that enables users to generate data profiling reports in a simple, fast, and efficient …

We examine the paradigm of data-centric artificial intelligence (DCAI) as a solution to the
obstacles that small and medium-sized enterprises (SMEs) face in adopting AI. While the …