Deep Learning

Deep Learning Data Augmentation for Raman Spectroscopy Cancer Tissue Classification
Recently, Raman Spectroscopy (RS) was demonstrated to be a non-destructive way of cancer diagnosis, due to the uniqueness of RS …
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Heterogeneous Graph Attention Network for Small and Medium-Sized Enterprises Bankruptcy Prediction
Credit assessment for Small and Medium-sized Enterprises (SMEs) is of great interest to financial institutions such as commercial banks …
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Convolutional Neural Networks based Lung Nodule Classification: A Surrogate-Assisted Evolutionary Algorithm for Hyperparameter Optimization
This paper investigates deep neural networks (DNNs) based lung nodule classification with hyperparameter optimization. Hyperparameter …
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Task-adaptive Neural Process for User Cold-Start Recommendation
User cold-start recommendation is a long-standing challenge for recommender systems due to the fact that only a few interactions of …
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A Relation-Specific Attention Network for Joint Entity and Relation Extraction
Joint extraction of entities and relations is an important task in natural language processing (NLP), which aims to capture all …
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One-Shot Neural Architecture Search via Novelty Driven Sampling
One-Shot Neural architecture search (NAS) has received wide attention due to its computational efficiency. Many One-Shot NAS methods …
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Overcoming Multi-Model Forgetting in One-Shot NAS with Diversity Maximization
One-Shot Neural Architecture Search (NAS) significantly improves the computational efficiency through weight sharing. However, this …
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Cost-sensitive parallel learning framework for insurance intelligence operation
Recent advancements in artificial intelligence (AI) are providing the insurance industry with new opportunities to create tailored …
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Cross-domain deep learning approach for multiple financial market prediction
Over recent decades, globalization has resulted in a steady increase in cross-border financial flows around the world. To build an …
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