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https://doi.org/10.2139/ssrn.4654983
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/0167-6377(86)90073-8openalex-extracted
Improving the Hungarian assignment algorithm
inferredcites →https://doi.org/10.1016/j.aca.2021.338279openalex-extracted
Recent advances in dual recognition based surface enhanced Raman scattering for pathogenic bacteria detection: A review
inferredcites →https://doi.org/10.1016/j.addr.2015.04.006openalex-extracted
Isolation and identification of bacteria by means of Raman spectroscopy
inferredcites →https://doi.org/10.1016/j.patrec.2020.07.028openalex-extracted
Deep k-Means: Jointly clustering with k-Means and learning representations
inferredcites →https://doi.org/10.1016/j.pdpdt.2021.102280openalex-extracted
Rapid and sensitive discrimination among carbapenem resistant and susceptible E. coli strains using Surface Enhanced Raman Spectroscopy combined with chemometric tools
inferredcites →https://doi.org/10.1016/j.saa.2021.120475openalex-extracted
Discrimination of waterborne pathogens, Cryptosporidium parvum oocysts and bacteria using surface-enhanced Raman spectroscopy coupled with principal component analysis and hierarchical clustering
inferredcites →https://doi.org/10.1016/j.talanta.2022.123807openalex-extracted
Rapid identification of salmonella serovars by using Raman spectroscopy and machine learning algorithm
inferredcites →https://doi.org/10.1016/j.talanta.2022.124112openalex-extracted
Multi-point scanning confocal Raman spectroscopy for accurate identification of microorganisms at the single-cell level
inferredcites →https://doi.org/10.1021/ac049663fopenalex-extracted
Surface-Enhanced Raman Spectroscopy for Bacterial Discrimination Utilizing a Scanning Electron Microscope with a Raman Spectroscopy Interface
inferredcites →https://doi.org/10.1021/acs.analchem.0c02489openalex-extracted
Fingerprinting Bacterial Metabolic Response to Erythromycin by Raman-Integrated Mid-Infrared Photothermal Microscopy
inferredcites →https://doi.org/10.1021/acs.analchem.1c00431openalex-extracted
Analysis of Raman Spectra by Using Deep Learning Methods in the Identification of Marine Pathogens
inferredcites →https://doi.org/10.1021/acs.analchem.2c03391openalex-extracted
Culture-Independent Raman Spectroscopic Identification of Bacterial Pathogens from Clinical Samples Using Deep Transfer Learning
inferredcites →https://doi.org/10.1021/acs.analchem.3c00260openalex-extracted
Contrastive Learning-Based Embedder for the Representation of Tandem Mass Spectra
inferredcites →https://doi.org/10.1021/acsnano.0c05693openalex-extracted
Deep Learning Analysis of Vibrational Spectra of Bacterial Lysate for Rapid Antimicrobial Susceptibility Testing
inferredcites →https://doi.org/10.1021/acssensors.1c00641openalex-extracted
Wide-Range, Rapid, and Specific Identification of Pathogenic Bacteria by Surface-Enhanced Raman Spectroscopy
inferredcites →https://doi.org/10.1038/s41467-019-12898-9openalex-extracted
Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning
inferredcites →https://doi.org/10.1038/s41598-022-20850-zopenalex-extracted
Accurate and fast identification of minimally prepared bacteria phenotypes using Raman spectroscopy assisted by machine learning
inferredcites →https://doi.org/10.1039/d0an00476fopenalex-extracted
Identification of methicillin-resistant Staphylococcus aureus bacteria using surface-enhanced Raman spectroscopy and machine learning techniques
inferredcites →https://doi.org/10.1039/d2an00403hopenalex-extracted
Raman spectrum matching with contrastive representation learning
inferredcites →https://doi.org/10.1039/d2ay01184kopenalex-extracted
Unsupervised convolutional variational autoencoder deep embedding clustering for Raman spectra
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00672openalex-extracted
Online Deep Clustering for Unsupervised Representation Learning
inferredcites →https://doi.org/10.1109/ijcnn.2017.7966039openalex-extracted
Time series classification from scratch with deep neural networks: A strong baseline
inferredcites →https://doi.org/10.1109/jbhi.2021.3094873openalex-extracted
Interpretable Classification of Bacterial Raman Spectra With Knockoff Wavelets
inferredcites →https://doi.org/10.18653/v1/2021.naacl-main.427openalex-extracted
Supporting Clustering with Contrastive Learning
inferredcites →https://doi.org/10.24963/ijcai.2021/324openalex-extracted
Time-Series Representation Learning via Temporal and Contextual Contrasting
inferredcites →https://doi.org/10.3389/fmicb.2021.683580openalex-extracted
Applications of Raman Spectroscopy in Bacterial Infections: Principles, Advantages, and Shortcomings
inferredcites →https://doi.org/10.3389/fmicb.2021.696921openalex-extracted
Comparative Analysis of Machine Learning Algorithms on Surface Enhanced Raman Spectra of Clinical Staphylococcus Species
inferredcites →https://doi.org/10.3390/electronics9081295openalex-extracted
The k-means Algorithm: A Comprehensive Survey and Performance Evaluation
inferredcites →https://doi.org/10.48550/arxiv.1702.08720openalex-extracted
Learning Discrete Representations via Information Maximizing Self-Augmented Training
inferredcites →https://doi.org/10.48550/arxiv.1807.03748openalex-extracted
Representation Learning with Contrastive Predictive Coding
inferredcites →https://doi.org/10.48550/arxiv.2002.05709openalex-extracted
A Simple Framework for Contrastive Learning of Visual Representations
inferredcites →https://doi.org/10.5334/dsj-2022-015openalex-extracted
Machine Learning Applied for Spectra Classification in X-ray Free Electorn Laser Sciences
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