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Two new feature selection methods based on learn-heuristic techniques for breast cancer prediction: A comprehensive…
Forward-Forward Learning achieves Highly Selective Latent Representations for Out-of-Distribution Detection in Fully Spiking Neural Networksby…
Achieving Well-Informed Decision-Making in Drug Discovery: A Comprehensive Calibration Study using Neural Network-Based Structure-Activity Modelsby…
Time Series Generative Learning with Application to Brain Imaging Analysisby Zhenghao Li, Sanyou Wu, Long…
Assessing the Potential of PlanetScope Satellite Imagery to Estimate Particulate Matter Oxidative Potentialby Ian Hough,…
Mechanistically Interpreting a Transformer-based 2-SAT Solver: An Axiomatic Approachby Nils Palumbo, Ravi Mangal, Zifan Wang,…
Hierarchical Stage-Wise Training of Linked Deep Neural Networks for Multi-Building and Multi-Floor Indoor Localization Based…
MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasetsby Peng Liao, XiLu…
A light-weight and efficient punctuation and word casing prediction model for on-device streaming ASRby Jian…