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<title>Channels - Enhancing Generalisation via Cascaded Inertia SGD With Learnt Hyperparameters :: FRELIP Discovery
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Double‐Integration‐Enhanced Stochastic Gradient Descent Based on Neural Dynamics for Improving Generalisation
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Towards Generalisable and Explainable Traffic Signal Control via Deep Reinforcement Learning and Large Language Models
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The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning
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The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning
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The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning
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Revisiting Gradient Normalization and Clipping for Nonconvex SGD under Heavy-Tailed Noise: Necessity, Sufficiency, and Acceleration
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Revisiting Gradient Normalization and Clipping for Nonconvex SGD under Heavy-Tailed Noise: Necessity, Sufficiency, and Acceleration
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Revisiting Gradient Normalization and Clipping for Nonconvex SGD under Heavy-Tailed Noise: Necessity, Sufficiency, and Acceleration
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Performance-optimized Alzheimer’s detection using machine learning with SMOTE and randomized hyperparameter tuning
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Transformation‐Equivariant Network Fused With Multi‐Stage Cascade Attention for Point Cloud Object Detection
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MTCA‐Net: Multi‐Task Cascade Analysis Network for Real‐Time Sperm Quality Analysis
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Robotic Cell Micromanipulation Skill Learning via Imitation‐Enhanced Reinforcement Learning
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HyOPTEnsemble: custom-weighted soft voting hyperparameter optimization ensemble model, explainable-AI for predicting mental state among university students
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NIRGB‐GS: Near‐Infrared Assisted Low‐Light Scene Reconstruction and Enhancement via Gaussian Splatting
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Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methods
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Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methods
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Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methods
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Enhancing credit risk prediction via voting classifier and meta-dynamic ensemble selection on imbalanced data
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KDLM: Lightweight Brain Tumor Segmentation via Knowledge Distillation
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Tibetan Data Augmentation via GAN‐Based Handwritten Text Generation
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Proactive Robotic Grasp Stability via Tactile Safety Margin Feedback
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Enhancing object detection through global collaborative learning
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DrLS: Distortion‐Resistant Lossless Steganography via Colour Depth Interpolation
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Community Detection with Higher-Order Edge Enhancement in Temporal Networks
