| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| M R Asghari Bejestani, Gh R Mohammad Khani, V R Nafisi, F Darake. EEG-Based Multiword Imagined Speech Classification for Persian Words. BioMed research international. vol 2022. 2022-01-31. PMID:35097127. |
mean accuracy and confusion matrix of the classifiers were estimated by monte-carlo cross-validation. |
2022-01-31 |
2023-08-13 |
human |
| Hamzeh Asgharnezhad, Afshar Shamsi, Roohallah Alizadehsani, Abbas Khosravi, Saeid Nahavandi, Zahra Alizadeh Sani, Dipti Srinivasan, Sheikh Mohammed Shariful Isla. Objective evaluation of deep uncertainty predictions for COVID-19 detection. Scientific reports. vol 12. issue 1. 2022-01-18. PMID:35039620. |
the novel concept of uncertainty confusion matrix is proposed and new performance metrics for the objective evaluation of uncertainty estimates are introduced. |
2022-01-18 |
2023-08-13 |
Not clear |
| Hamzeh Asgharnezhad, Afshar Shamsi, Roohallah Alizadehsani, Abbas Khosravi, Saeid Nahavandi, Zahra Alizadeh Sani, Dipti Srinivasan, Sheikh Mohammed Shariful Isla. Objective evaluation of deep uncertainty predictions for COVID-19 detection. Scientific reports. vol 12. issue 1. 2022-01-18. PMID:35039620. |
the novel concept of uncertainty confusion matrix is proposed and new performance metrics for the objective evaluation of uncertainty estimates are introduced for the first time. |
2022-01-18 |
2023-08-13 |
Not clear |
| b' Kemal \\xc3\\x9creten, Hadi Hakan Mara\\xc5\\x9. Automated Classification of Rheumatoid Arthritis, Osteoarthritis, and Normal Hand Radiographs with Deep Learning Methods. Journal of digital imaging. 2022-01-12. PMID:35018539.' |
the results of the study were evaluated with performance metrics such as accuracy, sensitivity, specificity, and precision calculated from the confusion matrix, and auc (area under the roc curve) calculated from roc (receiver operating characteristic) curve. |
2022-01-12 |
2023-08-13 |
Not clear |
| Hasan Türker, Bekir Aksoy, Koray Özso. Fabrication of Customized dental guide by stereolithography method and evaluation of dimensional accuracy with artificial neural networks. Journal of the mechanical behavior of biomedical materials. vol 126. 2022-01-08. PMID:34998070. |
when all test data in the confusion matrix obtained from ten different aritificial neural network models created using anns were examined, it was been seen that ann model-5 was the most successful model with an accuracy rate of 99%. |
2022-01-08 |
2023-08-13 |
Not clear |
| Shih-Chieh Lee, Gong-Hong Lin, Ching-Lin Shih, Kuan-Wei Chen, Chen-Chung Liu, Chian-Jue Kuo, Ching-Lin Hsie. Error patterns of facial emotion recognition in patients with schizophrenia. Journal of affective disorders. 2022-01-03. PMID:34979185. |
the findings were generally overlapped with those identified by the traditional confusion matrix. |
2022-01-03 |
2023-08-13 |
Not clear |
| Inwoong Lee, Doyoung Kim, Dongyoon Wee, Sanghoon Le. An Efficient Human Instance-Guided Framework for Video Action Recognition. Sensors (Basel, Switzerland). vol 21. issue 24. 2021-12-28. PMID:34960404. |
finally, we analyze the confusion matrix and visualize the recognized actions at human instance level when there are several people. |
2021-12-28 |
2023-08-13 |
human |
| Chirag Roy, Satyendra Singh Yadav, Vipin Pal, Mangal Singh, Sarat Kumar Patra, G R Sinh. An Ensemble Deep Learning Model for Automatic Modulation Classification in 5G and Beyond IoT Networks. Computational intelligence and neuroscience. vol 2021. 2021-12-24. PMID:34950200. |
the performance of the proposed model has been presented through extensive simulation in terms of training loss, accuracy, and confusion matrix with variable signal to noise ratio (snr) ranging from -20 db to +20 db and it demonstrates the superiority of drcag vis-a-vis existing ones. |
2021-12-24 |
2023-08-13 |
Not clear |
| Tommaso Colombo, Massimiliano Mangone, Francesco Agostini, Andrea Bernetti, Marco Paoloni, Valter Santilli, Laura Palag. Supervised and unsupervised learning to classify scoliosis and healthy subjects based on non-invasive rasterstereography analysis. PloS one. vol 16. issue 12. 2021-12-23. PMID:34941924. |
classification rates by class were measured using the confusion matrix, giving a low percentage of unclassified patients. |
2021-12-23 |
2023-08-13 |
human |
| Mohammad Azarafza, Mehdi Azarafza, Haluk Akgün, Peter M Atkinson, Reza Derakhshan. Deep learning-based landslide susceptibility mapping. Scientific reports. vol 11. issue 1. 2021-12-17. PMID:34916586. |
the cnn-dnn model prediction accuracy was tested using a wide range of statistics from the confusion matrix and error indices from the receiver operating characteristic (roc) curve. |
2021-12-17 |
2023-08-13 |
human |
| Kazi Nabiul Alam, Md Shakib Khan, Abdur Rab Dhruba, Mohammad Monirujjaman Khan, Jehad F Al-Amri, Mehedi Masud, Majdi Rawashde. Deep Learning-Based Sentiment Analysis of COVID-19 Vaccination Responses from Twitter Data. Computational and mathematical methods in medicine. vol 2021. 2021-12-13. PMID:34899965. |
other performance metrics such as precision,, f1-score, and a confusion matrix were also used to validate our models and findings more effectively. |
2021-12-13 |
2023-08-13 |
Not clear |
| Mingu Kang, Siho Shin, Gengjia Zhang, Jaehyo Jung, Youn Tae Ki. Mental Stress Classification Based on a Support Vector Machine and Naive Bayes Using Electrocardiogram Signals. Sensors (Basel, Switzerland). vol 21. issue 23. 2021-12-10. PMID:34883920. |
for the performance evaluation of the stress classification model, confusion matrix, receiver operating characteristic (roc) curve, and minimum classification error were used. |
2021-12-10 |
2023-08-13 |
Not clear |
| Hamid Reza Marateb, Farzad Ziaie Nezhad, Mohammad Reza Mohebian, Ramin Sami, Shaghayegh Haghjooy Javanmard, Fatemeh Dehghan Niri, Mahsa Akafzadeh-Savari, Marjan Mansourian, Miquel Angel Mañanas, Martin Wolkewitz, Harald Binde. Automatic Classification Between COVID-19 and Non-COVID-19 Pneumonia Using Symptoms, Comorbidities, and Laboratory Findings: The Khorshid COVID Cohort Study. Frontiers in medicine. vol 8. 2021-12-07. PMID:34869483. |
performance indices of the cross-validated confusion matrix for dataset 1 were as follows: sensitivity of 96% [confidence interval, ci, 95%: 94-98], specificity of 95% [90-99], positive predictive value (ppv) of 99% [98-100], negative predictive value (npv) of 82% [76-89], diagnostic odds ratio (dor) of 496 [198-1,245], area under the roc (auc) of 0.96 [0.94-0.97], matthews correlation coefficient (mcc) of 0.87 [0.85-0.88], accuracy of 96% [94-98], and cohen's kappa of 0.86 [0.81-0.91]. |
2021-12-07 |
2023-08-13 |
Not clear |
| Shamima Akter, F M Javed Mehedi Shamrat, Sovon Chakraborty, Asif Karim, Sami Aza. COVID-19 Detection Using Deep Learning Algorithm on Chest X-ray Images. Biology. vol 10. issue 11. 2021-11-29. PMID:34827167. |
performance evaluation of the models was demonstrated using a confusion matrix. |
2021-11-29 |
2023-08-13 |
Not clear |
| Eva M Ambroa, Jaime Pérez-Alija, Pedro Galleg. Convolutional neural network and transfer learning for dose volume histogram prediction for prostate cancer radiotherapy. Medical dosimetry : official journal of the American Association of Medical Dosimetrists. vol 46. issue 4. 2021-11-24. PMID:33896700. |
we used a confusion matrix to analyze the performance of our model. |
2021-11-24 |
2023-08-13 |
Not clear |
| D M Danilenko, M Y Eropkin, V N Leonenko, N I Konovalova, P A Petrova, A I Zheltukhina, A D Vassiliev. Assessment of rat polyclonal antisera's suitability in hemagglutination inhibition assay for influenza surveillance and antigenic mapping. Journal of virological methods. vol 293. 2021-11-24. PMID:33901526. |
in-depth statistical analysis, based on confusion matrix analysis and receiver operating characteristic (roc) analysis, confirmed good coincidence between ferret antisera-based and rat antisera-based results. |
2021-11-24 |
2023-08-13 |
human |
| Shuang Zhou, Li Pen. Applying Bayesian Belief Networks to Assess Alpine Grassland Degradation Risks: A Case Study in Northwest Sichuan, China. Frontiers in plant science. vol 12. 2021-11-23. PMID:34804106. |
the obtained result showed that the accuracies based on the confusion matrix of the slope of ndvi change (ndvis), shrub-encroached grasslands, and grassland degradation indicators in the bbn model were 85.27, 88.99, and 74.37%, respectively. |
2021-11-23 |
2023-08-13 |
Not clear |
| Veerayuth Kittichai, Theerakamol Pengsakul, Kemmapon Chumchuen, Yudthana Samung, Patchara Sriwichai, Natthaphop Phatthamolrat, Teerawat Tongloy, Komgrit Jaksukam, Santhad Chuwongin, Siridech Boonsan. Deep learning approaches for challenging species and gender identification of mosquito vectors. Scientific reports. vol 11. issue 1. 2021-11-22. PMID:33649429. |
thirteen classes were detected with an accuracy of 100% based on a confusion matrix. |
2021-11-22 |
2023-08-13 |
Not clear |
| Vanessa De Araujo Faria, Mehran Azimbagirad, Gustavo Viani Arruda, Juliana Fernandes Pavoni, Joaquim Cezar Felipe, Elza Maria Carneiro Mendes Ferreira Dos Santos, Luiz Otavio Murta Junio. Prediction of Radiation-Related Dental Caries Through PyRadiomics Features and Artificial Neural Network on Panoramic Radiography. Journal of digital imaging. vol 34. issue 5. 2021-11-17. PMID:34254199. |
to evaluate the method, we calculated the confusion matrix, receiver operating characteristic (roc), and area under curve (auc), as well as a comparison with recent methods. |
2021-11-17 |
2023-08-13 |
Not clear |
| Hamza Osman Ilhan, Gorkem Serbes, Nizamettin Aydi. Decision and feature level fusion of deep features extracted from public COVID-19 data-sets. Applied intelligence (Dordrecht, Netherlands). 2021-11-13. PMID:34764623. |
the obtained accuracy values and confusion matrix based evaluation criteria were presented for three progressively created data-sets. |
2021-11-13 |
2023-08-13 |
Not clear |