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Recognition and classification of red blood cells using digital holographic microscopy and data clustering with discriminant analysis

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Recognition and classification of red blood cells using digital holographic microscopy and data clustering with discriminant analysis

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Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection

Planning urban proximities: An empirical analysis of how residential preferences conflict with the urban morphologies and residential practices

Establishment of Reference Intervals of Blood Parameters Among the Healthy Afghan Population

Aggregating Spatial and Photometric Context for Photometric Stereo

Unlabeled Principal Component Analysis and Matrix Completion

In vitro-transfusional model for red-blood-cell study: the advantage of lowering hematocrit

Fairness and Explainability in Clustering Problems

Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining

Augmented Lagrangian Methods for Provable and Scalable Machine Learning

Transfer learning application of self-supervised learning in ARPES

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Improving K-means Clustering Using Speculation

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AIFORE: Smart Fuzzing Based on Automatic Input Format Reverse Engineering

Self-Supervised Bayesian representation learning of acoustic emissions from laser powder bed Fusion process for in-situ monitoring

Preserved Corticospinal Tract Revealed by Acute Perfusion Imaging Relates to Better Outcome After Thrombectomy in Stroke

Sparse Autoencoders for Speech Modeling and Recognition

Self-supervised Dense Representation Learning for Live-Cell Microscopy with Time Arrow Prediction

Single-Trace Clustering Power Analysis of the Point-Swapping Procedure in the Three Point Ladder of Cortex-M4 SIKE