Background Patients and families from culturally and linguistically diverse (CALD) backgrounds face distinct challenges ...
Russell, N. , Teed, J. and Bastida, N. (2025) Enhancing Scholarly Creativity When Developing Research Ideas. Creative Education, 16, 2098-2129. doi: 10.4236/ce.2025.1612127 .
Extending its Ignition platform to the industrial network edge to help users place devices closer to the sources of data for collection, transfer and analysis has been a key focus for Inductive ...
Inductive reasoning is a critical skill that enables individuals to make sound decisions by drawing general conclusions from specific observations. Whether you’re working on a high-stakes business ...
Welcome! This repository encapsulates all materials that I created for the course ISE-364 / 464, titled "Introduction to Machine Learning". This includes all original lecture slides as well as ...
Abstract: In wastewater treatment processes (WWTPs), data and knowledge are employed to build an effective model for monitoring its operation. Unfortunately, they are difficult to be fused due to ...
Furthermore, domain adaptation (DA) has been the most common TL method in general, whereas inductive transfer learning (ITL) has been rare. To the best of our knowledge, DA and ITL have never been ...
Modeling complex physical dynamics is a fundamental task in science and engineering. Traditional physics-based models are first-principled, explainable, and sample-efficient. However, they often rely ...
Machine learning research aims to learn representations that enable effective downstream task performance. A growing subfield seeks to interpret these representations’ roles in model behaviors or ...
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Graph Transformers (GTs) have successfully achieved state-of-the-art performance on various platforms. GTs can capture long-range information from nodes that are at large distances, unlike the local ...
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