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Two Projection Pursuit Algorithms for Machine Learning under Non-Stationarity
Robust Image Analysis by L1-Norm Semi-supervised Learning
A Scoring Method for Driving Safety Credit Using Trajectory Data
Optical Inversion and Spectral Unmixing of Spectroscopic Photoacoustic Images with Physics-Informed Neural Networks
Random Wavelet Features for Graph Kernel Machines
DeepCSO: Forecasting of Combined Sewer Overflow at a Citywide Level using Multi-task Deep Learning
Field-Programmable Deep Neural Network (DNN) Learning and Inference accelerator: a concept
Enhancing Operation of a Sewage Pumping Station for Inter Catchment Wastewater Transfer by Using Deep Learning and Hydraulic Model
Learning Analytics in Massive Open Online Courses
Non-invasive thermal comfort perception based on subtleness magnification and deep learning for energy efficiency
Variational inference via radial transport
Synergizing Transport-Based Generative Models and Latent Geometry for Stochastic Closure Modeling
Pose Estimation from a Single Depth Image for Arbitrary Kinematic Skeletons
Accelerated Discovery of Cryoprotectant Cocktails via Multi-Objective Bayesian Optimization
Scaling Laws for Masked-Reconstruction Transformers on Single-Cell Transcriptomics
Multi-pretrained Deep Neural Network
Online Learning with Improving Agents: Multiclass, Budgeted Agents and Bandit Learners
Fast Online Learning with Gaussian Prior-Driven Hierarchical Unimodal Thompson Sampling
When to Trust the Cheap Check: Weak and Strong Verification for Reasoning
Diffusion Adaptation Strategies for Distributed Optimization and Learning over Networks
Random Forest for Malware Classification
Churn analysis using deep convolutional neural networks and autoencoders