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IEEE Access naïve bayes classifier
Naïve Bayes Classifier, supplied by IEEE Access, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/naïve bayes classifier/product/IEEE Access
Average 90 stars, based on 1 article reviews
naïve bayes classifier - by Bioz Stars, 2026-04
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MathWorks Inc naïve bayes classifiers
Optogenetic inhibition of vCA1 pyramidal neurons induces mechanical allodynia in <t>naïve</t> rats. A Schematic of optogenetic virus injection and optical fiber implantation in the vCA1. B Representative confocal image of virus expression and optical fiber location in the vCA1. C Inhibition of vCA1 pyramidal neurons induces mechanical allodynia. n = 10 per group. *** P < 0.001, two-way ANOVA with Bonferroni’s post hoc test. D Representative movement tracks in a 10-min period during RTPP from mCherry (left) and NpHR (right) groups. The yellow areas indicate the light stimulation side. E Optogenetic inhibition decreases the time spent on the stimulation side in the NpHR group. n = 10 per group. * P < 0.05, unpaired t -test.
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https://www.bioz.com/result/naïve bayes classifiers/product/MathWorks Inc
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MathWorks Inc naïve bayes classifiers in the matlab programming environment (fitcnb)
Optogenetic inhibition of vCA1 pyramidal neurons induces mechanical allodynia in <t>naïve</t> rats. A Schematic of optogenetic virus injection and optical fiber implantation in the vCA1. B Representative confocal image of virus expression and optical fiber location in the vCA1. C Inhibition of vCA1 pyramidal neurons induces mechanical allodynia. n = 10 per group. *** P < 0.001, two-way ANOVA with Bonferroni’s post hoc test. D Representative movement tracks in a 10-min period during RTPP from mCherry (left) and NpHR (right) groups. The yellow areas indicate the light stimulation side. E Optogenetic inhibition decreases the time spent on the stimulation side in the NpHR group. n = 10 per group. * P < 0.05, unpaired t -test.
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Optogenetic inhibition of vCA1 pyramidal neurons induces mechanical allodynia in <t>naïve</t> rats. A Schematic of optogenetic virus injection and optical fiber implantation in the vCA1. B Representative confocal image of virus expression and optical fiber location in the vCA1. C Inhibition of vCA1 pyramidal neurons induces mechanical allodynia. n = 10 per group. *** P < 0.001, two-way ANOVA with Bonferroni’s post hoc test. D Representative movement tracks in a 10-min period during RTPP from mCherry (left) and NpHR (right) groups. The yellow areas indicate the light stimulation side. E Optogenetic inhibition decreases the time spent on the stimulation side in the NpHR group. n = 10 per group. * P < 0.05, unpaired t -test.
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Optogenetic inhibition of vCA1 pyramidal neurons induces mechanical allodynia in <t>naïve</t> rats. A Schematic of optogenetic virus injection and optical fiber implantation in the vCA1. B Representative confocal image of virus expression and optical fiber location in the vCA1. C Inhibition of vCA1 pyramidal neurons induces mechanical allodynia. n = 10 per group. *** P < 0.001, two-way ANOVA with Bonferroni’s post hoc test. D Representative movement tracks in a 10-min period during RTPP from mCherry (left) and NpHR (right) groups. The yellow areas indicate the light stimulation side. E Optogenetic inhibition decreases the time spent on the stimulation side in the NpHR group. n = 10 per group. * P < 0.05, unpaired t -test.
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Taihe Biotechnology Co Ltd naïve bayes classifier
Comparative analysis of the techniques used to predict Mesothelioma and lung cancer
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MathWorks Inc naïve bayes classifier
ANN model performance as compared to previous automated sleep scoring approaches to classify rodent behavioral state.
Naïve Bayes Classifier, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


Optogenetic inhibition of vCA1 pyramidal neurons induces mechanical allodynia in naïve rats. A Schematic of optogenetic virus injection and optical fiber implantation in the vCA1. B Representative confocal image of virus expression and optical fiber location in the vCA1. C Inhibition of vCA1 pyramidal neurons induces mechanical allodynia. n = 10 per group. *** P < 0.001, two-way ANOVA with Bonferroni’s post hoc test. D Representative movement tracks in a 10-min period during RTPP from mCherry (left) and NpHR (right) groups. The yellow areas indicate the light stimulation side. E Optogenetic inhibition decreases the time spent on the stimulation side in the NpHR group. n = 10 per group. * P < 0.05, unpaired t -test.

Journal: Neuroscience Bulletin

Article Title: Ventral Hippocampal CA1 Pyramidal Neurons Encode Nociceptive Information

doi: 10.1007/s12264-023-01086-x

Figure Lengend Snippet: Optogenetic inhibition of vCA1 pyramidal neurons induces mechanical allodynia in naïve rats. A Schematic of optogenetic virus injection and optical fiber implantation in the vCA1. B Representative confocal image of virus expression and optical fiber location in the vCA1. C Inhibition of vCA1 pyramidal neurons induces mechanical allodynia. n = 10 per group. *** P < 0.001, two-way ANOVA with Bonferroni’s post hoc test. D Representative movement tracks in a 10-min period during RTPP from mCherry (left) and NpHR (right) groups. The yellow areas indicate the light stimulation side. E Optogenetic inhibition decreases the time spent on the stimulation side in the NpHR group. n = 10 per group. * P < 0.05, unpaired t -test.

Article Snippet: Naïve Bayes classifiers in the MATLAB programming environment (fitcnb) were applied to test the specificity of the vCA1 neural code in response to various stimuli [ ].

Techniques: Inhibition, Virus, Injection, Expressing

Comparative analysis of the techniques used to predict Mesothelioma and lung cancer

Journal: Archives of Computational Methods in Engineering

Article Title: Artificial Intelligence Techniques to Predict the Airway Disorders Illness: A Systematic Review

doi: 10.1007/s11831-022-09818-4

Figure Lengend Snippet: Comparative analysis of the techniques used to predict Mesothelioma and lung cancer

Article Snippet: [ ] , , Hubei Taihe Hospital (110 patients) , Naïve Bayes Classifier,Fast Correlation Based Filter, , AUC = 98.9% Sensitivity = 98.1% Specificity = 100% , The ability of metabolic indicators to identify lung tumours early had been proven , Smaller size of data used to carry the research.

Techniques: Computed Tomography, Imaging

Comparative analysis of the techniques used to predict asthma, tuberculosis, cystic fibrosis

Journal: Archives of Computational Methods in Engineering

Article Title: Artificial Intelligence Techniques to Predict the Airway Disorders Illness: A Systematic Review

doi: 10.1007/s11831-022-09818-4

Figure Lengend Snippet: Comparative analysis of the techniques used to predict asthma, tuberculosis, cystic fibrosis

Article Snippet: [ ] , , Hubei Taihe Hospital (110 patients) , Naïve Bayes Classifier,Fast Correlation Based Filter, , AUC = 98.9% Sensitivity = 98.1% Specificity = 100% , The ability of metabolic indicators to identify lung tumours early had been proven , Smaller size of data used to carry the research.

Techniques: Biomarker Discovery, Derivative Assay, Computed Tomography, Plasmid Preparation, Diagnostic Assay

Overall comparison of models

Journal: Archives of Computational Methods in Engineering

Article Title: Artificial Intelligence Techniques to Predict the Airway Disorders Illness: A Systematic Review

doi: 10.1007/s11831-022-09818-4

Figure Lengend Snippet: Overall comparison of models

Article Snippet: [ ] , , Hubei Taihe Hospital (110 patients) , Naïve Bayes Classifier,Fast Correlation Based Filter, , AUC = 98.9% Sensitivity = 98.1% Specificity = 100% , The ability of metabolic indicators to identify lung tumours early had been proven , Smaller size of data used to carry the research.

Techniques: Comparison, Plasmid Preparation

ANN model performance as compared to previous automated sleep scoring approaches to classify rodent behavioral state.

Journal: PeerJ

Article Title: An artificial neural network for automated behavioral state classification in rats

doi: 10.7717/peerj.12127

Figure Lengend Snippet: ANN model performance as compared to previous automated sleep scoring approaches to classify rodent behavioral state.

Article Snippet: , Naïve Bayes classifier , 93 , 5 , No (Matlab) , Only days with <5% artifact.

Techniques: Plasmid Preparation