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Building a question answering system for the introduction to statistics course using supervised learning techniques
Published 2021Get full text
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A meta-learning framework for link prediction algorithm selection based on network structure analysis
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Exploring differentiated teaching in a Grade 4 classroom
Published 2014Get full text
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Optimal energy management for a grid-tied solar PV-battery microgrid: A reinforcement learning approach
Published 2023“…RL is a reward-motivated optimization technique derived from how animals learn to optimize their behaviour in new environments. …”
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Managing knowledge in mega-infrastructure projects
Published 2018Get full text
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Mining the Microbial Treasure Trove: Multitasking Deep Learning Framework for Functional Discovery of Novel Prokaryotic Argonaute Proteins in Metagenomes
Published 2025“…Here, we present a multitask deep‑learning framework that unifies transformer‑derived residue embeddings, predicted contact topologies, and domain‑aware sequence constraints in graph attention–conditional random‑field (GAT‑CRF) architecture. …”
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Visualising interpretability in random forests
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Link prediction in knowledge graphs using latent feature modelling and neural tensor factorisation
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A deep learning algorithm for contour detection in synthetic 2D biplanar X-ray images of the scapula: towards improved 3D reconstruction of the scapula
Published 2021“…In summary, the deep learning models were able to learn the mapping between the bi-planar images of the scapula. …”
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Knowledge audit methodologies : the importance of knowledge management infrastructure
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A framework for evaluating clinical data using graph-based link prediction
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