| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Yi Zhou, Rui Zhang, Shixin Wang, Futao Wan. Feature Selection Method Based on High-Resolution Remote Sensing Images and the Effect of Sensitive Features on Classification Accuracy. Sensors (Basel, Switzerland). vol 18. issue 7. 2018-06-25. PMID:29932436. |
the confusion matrix, precision, recall and f1-score were applied to assess the accuracy. |
2018-06-25 |
2023-08-13 |
Not clear |
| Laura Gemme, Sonia Nardotto, Silvana G Dellepian. Automatic MPST-cut for segmentation of carpal bones from MR volumes. Computers in biology and medicine. vol 87. 2018-05-02. PMID:28651069. |
performance quality is evaluated by comparing the results with gold-standard bone volumes manually defined by rheumatologists through the computation of metrics extracted from the confusion matrix. |
2018-05-02 |
2023-08-13 |
Not clear |
| Gavin K Hanson, Evangelia G Chrysiko. Attention to Distinct Goal-relevant Features Differentially Guides Semantic Knowledge Retrieval. Journal of cognitive neuroscience. vol 29. issue 7. 2018-03-19. PMID:28294713. |
a bayesian confusion matrix analysis further identified differential contributions to representing attentional demands toward specific object properties across lateral prefrontal, posterior temporal, and inferior parietal regions, with the dorsolateral pfc supporting distinctions between higher-order properties and the left intraparietal sulcus being the only region supporting distinctions across all semantic features. |
2018-03-19 |
2023-08-13 |
human |
| Piotr Cysewsk. Efficacy of bi-component cocrystals and simple binary eutectics screening using heat of mixing estimated under super cooled conditions. Journal of molecular graphics & modelling. vol 68. 2018-01-29. PMID:27337389. |
the application of a confusion matrix as a predictive analytical tool was applied for distinguishing between the two subsets. |
2018-01-29 |
2023-08-13 |
Not clear |
| Tri Dev Acharya, Dong Ha Lee, In Tae Yang, Jae Kang Le. Identification of Water Bodies in a Landsat 8 OLI Image Using a J48 Decision Tree. Sensors (Basel, Switzerland). vol 16. issue 7. 2018-01-26. PMID:27420067. |
the results were compared with five other known water identification methods using a confusion matrix and related statistics. |
2018-01-26 |
2023-08-13 |
Not clear |
| Lucille Walle. A perceptual study of the voicing feature of stop consonants after type II and III laser cordectomies. Clinical linguistics & phonetics. vol 31. issue 3. 2018-01-23. PMID:27726452. |
the results were presented in the form of a confusion matrix highlighting possible confusions of voicing and/or places of articulation. |
2018-01-23 |
2023-08-13 |
Not clear |
| Emmanuel Jaccoulet, Julien Boccard, Myriam Taverna, Andrea Santos Azevedos, Serge Rudaz, Claire Smadj. High-throughput identification of monoclonal antibodies after compounding by UV spectroscopy coupled to chemometrics analysis. Analytical and bioanalytical chemistry. vol 408. issue 21. 2018-01-18. PMID:27334717. |
the quality of the optimized pls-da models was enhanced and the region from the tyrosine/tryptophan residues allowed us excellent classification (100 %) of the four mabs according to the matrix of confusion. |
2018-01-18 |
2023-08-13 |
Not clear |
| Florian Stelzle, Maximilian Rohde, Max Riemann, Nicolai Oetter, Werner Adler, Katja Tangermann-Gerk, Michael Schmidt, Christian Knipfe. Autofluorescence spectroscopy for nerve-sparing laser surgery of the head and neck-the influence of laser-tissue interaction. Lasers in medical science. vol 32. issue 6. 2017-11-27. PMID:28551764. |
sensitivities, specificities, and area under curve(auc) values for each tissue pair as well as the confusion matrix were statistically calculated for pre-ablation and post-ablation autofluorescence spectra using principal component analysis (pca), quadratic discriminant analysis (qda), and receiver operating characteristics (roc). |
2017-11-27 |
2023-08-13 |
Not clear |
| Florian Stelzle, Maximilian Rohde, Max Riemann, Nicolai Oetter, Werner Adler, Katja Tangermann-Gerk, Michael Schmidt, Christian Knipfe. Autofluorescence spectroscopy for nerve-sparing laser surgery of the head and neck-the influence of laser-tissue interaction. Lasers in medical science. vol 32. issue 6. 2017-11-27. PMID:28551764. |
the confusion matrix indicated a highly successful tissue discrimination rate before laser exposure, with an average classification error of 5.2%. |
2017-11-27 |
2023-08-13 |
Not clear |
| Gaurav Nanda, Kathleen M Grattan, MyDzung T Chu, Letitia K Davis, Mark R Leht. Bayesian decision support for coding occupational injury data. Journal of safety research. vol 57. 2017-09-08. PMID:27178082. |
we propose a bayesian decision support system to autocode a large portion of the data, filter cases for manual review, and assist human coders by presenting them top k prediction choices and a confusion matrix of predictions from bayesian models. |
2017-09-08 |
2023-08-13 |
human |
| Jaeyong Yee, Yongkang Kim, Taesung Park, Mira Par. Using the Generalized Index of Dissimilarity to Detect Gene-Gene Interactions in Multi-Class Phenotypes. PloS one. vol 11. issue 8. 2017-07-26. PMID:27556585. |
its usual approach to determining the genomic association is to construct a confusion matrix to estimate a classification error, where a binary risk status is determined and assigned to each genotypic multifactor class. |
2017-07-26 |
2023-08-13 |
Not clear |
| Michael J Brusco, Patrick Doreian, Douglas Steinle. Biclustering methods for one-mode asymmetric matrices. Behavior research methods. vol 48. issue 2. 2017-06-12. PMID:25899042. |
for example, in a visual alphabetic confusion matrix from an experimental psychology study, both the rows and columns pertain to letters of the alphabet. |
2017-06-12 |
2023-08-13 |
Not clear |
| Xing-Yuan Wang, Hui-Li Zhang, Xue-Mei Ba. Color image encryption scheme using CML and DNA sequence operations. Bio Systems. vol 144. 2017-02-09. PMID:27026385. |
three components for the color plain image is employed to construct a matrix, then perform confusion operation on the pixels matrix generated by the spatiotemporal chaos system, i.e., cml (coupled map lattice). |
2017-02-09 |
2023-08-13 |
Not clear |
| M Amozegar, K Khorasan. An ensemble of dynamic neural network identifiers for fault detection and isolation of gas turbine engines. Neural networks : the official journal of the International Neural Network Society. vol 76. 2016-11-03. PMID:26881999. |
our extensive simulation studies demonstrate that the fault detection and isolation task achieved by using the residuals that are obtained from the dynamic ensemble scheme results in a significantly more accurate and reliable performance as illustrated through detailed quantitative confusion matrix analysis and comparative studies. |
2016-11-03 |
2023-08-13 |
Not clear |
| Ana Elisa Pereira Silva, Corina da Costa Freitas, Luciano Vieira Dutra, Marcelo Beltrão Molent. Assessing the risk of bovine fasciolosis using linear regression analysis for the state of Rio Grande do Sul, Brazil. Veterinary parasitology. vol 217. 2016-10-25. PMID:26827853. |
the accuracy of the known sample classification on the confusion matrix for the low, medium and high rates produced by the estimated model presented values between 39 and 88% depending of the year. |
2016-10-25 |
2023-08-13 |
cattle |
| Alexandra Iglesias, Luziane Zacché Avella. [Matrix Support: a bibliographical study]. Ciencia & saude coletiva. vol 19. issue 9. 2016-06-28. PMID:25184584. |
however, there is still considerable confusion regarding the proposal of the matrix support and shared responsibilities between teams of reference and mental health professionals, which emphasizes the need for training of these professionals, as well as better coordination and organization of the mental health care network. |
2016-06-28 |
2023-08-13 |
Not clear |
| Zhen Zhou, Jingfeng Huang, Jing Wang, Kangyu Zhang, Zhaomin Kuang, Shiquan Zhong, Xiaodong Son. Object-Oriented Classification of Sugarcane Using Time-Series Middle-Resolution Remote Sensing Data Based on AdaBoost. PloS one. vol 10. issue 11. 2016-06-08. PMID:26528811. |
the confusion matrix analysis showed that the overall classification accuracy reached 93.6% and that the kappa coefficient was 0.85. |
2016-06-08 |
2023-08-13 |
Not clear |
| Hiroki Inata, Fujio Araki, Yuta Kuribayashi, Yasushi Hamamoto, Shigeki Nakayama, Noritaka Sodeoka, Tetsukazu Kiriyama, Osamu Nishizak. Development of a real-time monitoring system for intra-fractional motion in intracranial treatment using pressure sensors. Physics in medicine and biology. vol 60. issue 18. 2016-04-05. PMID:26348273. |
finally, the accuracy of our system was evaluated by using the 2 × 2 confusion matrix. |
2016-04-05 |
2023-08-13 |
Not clear |
| MuthuKrishnan Selvaraj, Munish Puri, Kanak L Dikshit, Christophe Lefevr. BacHbpred: Support Vector Machine Methods for the Prediction of Bacterial Hemoglobin-Like Proteins. Advances in bioinformatics. vol 2016. 2016-04-01. PMID:27034664. |
the average accuracy, standard deviation (sd), false positive rate (fpr), confusion matrix, and receiver operating characteristic (roc) were analyzed. |
2016-04-01 |
2023-08-13 |
Not clear |
| MuthuKrishnan Selvaraj, Munish Puri, Kanak L Dikshit, Christophe Lefevr. BacHbpred: Support Vector Machine Methods for the Prediction of Bacterial Hemoglobin-Like Proteins. Advances in bioinformatics. vol 2016. 2016-04-01. PMID:27034664. |
prediction accuracy was further investigated through confusion matrix and roc curve analysis. |
2016-04-01 |
2023-08-13 |
Not clear |