Fish and other seafood products represent a valuable source of many nutrients and
micronutrients for the human diet and contribute significantly to global food security …

Abstract Machine learning (ML), as the most promising paradigm to discover deep
knowledge from data, has been widely applied to practical applications, such as …

In multiobjective evolutionary neural architecture search (NAS), existing predictor-based
methods commonly suffer from the rank disorder issue that a candidate high-performance …

Convolutional neural networks (CNNs) have demonstrated exceptional results in the
analysis of time-series data when used for Human Activity Recognition (HAR). The manual …

It is often very tedious for human experts to design efficient algorithms. Recently, we have
proposed a novel Algorithm Evolution using Large Language Model (AEL) framework for …

Optimization can be found in many real-life applications. Designing an effective algorithm for
a specific optimization problem typically requires a tedious amount of effort from human …

The automatic induction of machine learning models capable of addressing supervised
learning, feature selection, clustering and reinforcement learning problems requires …

Extracting relational triples from texts is a fundamental task in knowledge graph construction.
The popular way of existing methods is to jointly extract entities and relations using a single …

In real-world applications, a specific class of multiobjective optimization problems, such as
the cloud service allocation problem (CSAOPs), possess the characteristic of variable-length …

Artificial Intelligence (AI) has achieved significant advancements in technology and research
with the development over several decades, and is widely used in many areas including …