| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Ashleigh Hall, Carol Smolij, Beth Moughan, Amer Kechli, Stephen Aronof. Identifying Persistent Asthma in Children: A Comparison of Healthcare Effectiveness Data and Information Set Criteria and National Heart, Lung, and Blood Institute Guidelines. Journal for healthcare quality : official publication of the National Association for Healthcare Quality. vol 40. issue 2. 2019-09-10. PMID:28837450. |
agreement was determined by confusion matrix analysis and cohen kappa statistic with continuity correction. |
2019-09-10 |
2023-08-13 |
human |
| Miguel Angel Bautista Martin, Oriol Pujol, Fernando De la Torre, Sergio Escaler. Error-Correcting Factorization. IEEE transactions on pattern analysis and machine intelligence. vol 40. issue 10. 2019-09-09. PMID:29035211. |
(iv) enabled by the flexibility introduced with the design matrix we propose to allocate the error-correction on classes that are prone to confusion. |
2019-09-09 |
2023-08-13 |
Not clear |
| Paige V McDonald, Marina A G von Keyserlingk, Daniel M Wear. Technical note: Using an electronic drinker to monitor competition in dairy cows. Journal of dairy science. vol 102. issue 4. 2019-09-03. PMID:30712937. |
the optimal interval to accurately identify replacements at the drinker was determined using a receiver operating characteristic curve and by evaluating the sensitivity (se), specificity (sp), and confusion matrix values (true positives, true negatives, false positives, false negatives) of different thresholds identified by 3 metrics: the youden index, the point closest to (0,1) on the curve, and the point where se roughly equals sp. |
2019-09-03 |
2023-08-13 |
Not clear |
| A V Vasileva, E V Gorbunova, A S Vasilev, V S Peretyagin, A N Chertov, V V Korotae. Assessing exterior egg quality indicators using machine vision. British poultry science. vol 59. issue 6. 2019-06-18. PMID:30221543. |
the results of mottling grade estimation were compared using f-measure and confusion matrix. |
2019-06-18 |
2023-08-13 |
chicken |
| Asmamaw Gebrehiwot, Leila Hashemi-Beni, Gary Thompson, Parisa Kordjamshidi, Thomas E Langa. Deep Convolutional Neural Network for Flood Extent Mapping Using Unmanned Aerial Vehicles Data. Sensors (Basel, Switzerland). vol 19. issue 7. 2019-04-03. PMID:30934695. |
confusion matrix was calculated to estimate the accuracy of the proposed method. |
2019-04-03 |
2023-08-13 |
human |
| Jiachen Yang, Lin Liu, Linfeng Zhang, Gen Li, Zhonghao Sun, Houbing Son. Prediction of Marine Pycnocline Based on Kernel Support Vector Machine and Convex Optimization Technology. Sensors (Basel, Switzerland). vol 19. issue 7. 2019-04-03. PMID:30935145. |
the prediction results not only used the confusion matrix to analyze the accuracy of gridsearch-svm with variable step size, but also compared the traditional svm and the similar algorithm. |
2019-04-03 |
2023-08-13 |
Not clear |
| Wang Li, Qian Zhaopeng, Feng Yijun, Niu Haiju. Design and Preliminary Evaluation of Electrolarynx With F0 Control Based on Capacitive Touch Technology. IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. vol 26. issue 3. 2019-03-21. PMID:29522407. |
moreover, the confusion matrix indicates that the listeners could correctly identify the tones of monosyllables and disyllabic words in t-el speech. |
2019-03-21 |
2023-08-13 |
Not clear |
| Shixia Liu, Jiannan Xiao, Junlin Liu, Xiting Wang, Jing Wu, Jun Zh. Visual Diagnosis of Tree Boosting Methods. IEEE transactions on visualization and computer graphics. vol 24. issue 1. 2018-12-26. PMID:28866545. |
in particular, we have designed a temporal confusion matrix visualization, and combined it with a t-sne projection and a tree visualization. |
2018-12-26 |
2023-08-13 |
Not clear |
| E Jaccoulet, A Schweitzer-Chaput, B Toussaint, P Prognon, E Caudro. Simple and ultra-fast recognition and quantitation of compounded monoclonal antibodies: Application to flow injection analysis combined to UV spectroscopy and matching method. Talanta. vol 187. 2018-12-11. PMID:29853048. |
qualitative analytical parameters were also evaluated in terms of specificity, sensitivity and global precision through a matrix of confusion. |
2018-12-11 |
2023-08-13 |
Not clear |
| Pawel Trajdos, Marek Kurzynsk. A Correction Method of a Binary Classifier Applied to Multi-Label Pairwise Models. International journal of neural systems. vol 28. issue 9. 2018-11-26. PMID:29439602. |
these probabilities are determined using the original concepts of a randomized reference classifier (rrc) and a local soft confusion matrix. |
2018-11-26 |
2023-08-13 |
Not clear |
| Olga Valenzuela, Xiaoyi Jiang, Antonio Carrillo, Ignacio Roja. Multi-Objective Genetic Algorithms to Find Most Relevant Volumes of the Brain Related to Alzheimer's Disease and Mild Cognitive Impairment. International journal of neural systems. vol 28. issue 9. 2018-11-26. PMID:29914313. |
the error index of the system is computed by the confusion matrix obtained by the multi-class support vector machine (svm) classifier. |
2018-11-26 |
2023-08-13 |
human |
| Xin Shen, Hee-Seung Kim, Komatsu Satoru, Adam Markman, Bahram Javid. Spatial-temporal human gesture recognition under degraded conditions using three-dimensional integral imaging. Optics express. vol 26. issue 11. 2018-09-21. PMID:29877439. |
the gesture recognition results with different classification algorithms are compared using a variety of performance metrics such as receiver operating characteristic (roc) curves, area under the curve (auc), snr, the probability of classification errors, and confusion matrix. |
2018-09-21 |
2023-08-13 |
human |
| Amin Zadeh Shirazi, Seyyed Javad Seyyed Mahdavi Chabok, Zahra Mohammad. A novel and reliable computational intelligence system for breast cancer detection. Medical & biological engineering & computing. vol 56. issue 5. 2018-09-17. PMID:28891042. |
the obtained results corresponding to each patient were compared to the medical diagnosis results using receiver operating characteristic analyses and confusion matrix. |
2018-09-17 |
2023-08-13 |
Not clear |
| George D Vavougios, Triantafyllos Doskas, Kostas Konstantopoulo. An electroglottographical analysis-based discriminant function model differentiating multiple sclerosis patients from healthy controls. Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology. vol 39. issue 5. 2018-09-13. PMID:29450761. |
finally, a 2 × 2 confusion matrix was used to determine the function's predictive accuracy, whereas the cross-validated predictive accuracy is estimated via the "leave-one-out" classification process. |
2018-09-13 |
2023-08-13 |
Not clear |
| Yu Wang, Jihong L. Credible Intervals for Precision and Recall Based on a K-Fold Cross-Validated Beta Distribution. Neural computation. vol 28. issue 8. 2018-08-29. PMID:27348737. |
second, considering that each data set corresponding to a confusion matrix from a k-fold cross-validation can be used to infer a beta posterior distribution of precision (or recall), the second proposed credible interval for precision (or recall) is constructed based on the average of k beta posterior distributions. |
2018-08-29 |
2023-08-13 |
Not clear |
| Roberto Gazzeri, Marcelo Galarza, Giorgio Callovini, Alex Alfier. Biosurgical Hemostatic Agents in Neurosurgical Intracranial Procedures. Surgical technology international. vol 30. 2018-08-24. PMID:28182825. |
although routinely used during neurosurgical procedures, there is still a great deal of confusion concerning optimal use of these products, because of the wide range of products, as absorbable topical agents, antifibrinolytics agents, fibrin sealants and hemostatic matrix, which perform their hemostatic action in different ways. |
2018-08-24 |
2023-08-13 |
Not clear |
| Manuel Mendoza-Carranza, Elisabet Ejarque, Leopold A J Nagelkerk. Disentangling the complexity of tropical small-scale fisheries dynamics using supervised Self-Organizing Maps. PloS one. vol 13. issue 5. 2018-08-13. PMID:29782501. |
a confusion matrix indicated that classification errors occurred within the same fishing gear. |
2018-08-13 |
2023-08-13 |
Not clear |
| Tri Dev Acharya, Anoj Subedi, Dong Ha Le. Evaluation of Water Indices for Surface Water Extraction in a Landsat 8 Scene of Nepal. Sensors (Basel, Switzerland). vol 18. issue 8. 2018-08-09. PMID:30087264. |
the evaluation was conducted based on measures from a confusion matrix derived using validation points. |
2018-08-09 |
2023-08-13 |
Not clear |
| Donghao Ren, Saleema Amershi, Bongshin Lee, Jina Suh, Jason D William. Squares: Supporting Interactive Performance Analysis for Multiclass Classifiers. IEEE transactions on visualization and computer graphics. vol 23. issue 1. 2018-07-30. PMID:27875134. |
our controlled study shows that practitioners can assess performance significantly faster and more accurately with squares than a confusion matrix, a common performance analysis tool in machine learning. |
2018-07-30 |
2023-08-13 |
Not clear |
| Xiaoqiang Yan. Identification of risk genes associated with myocardial infarction based on the recursive feature elimination algorithm and support vector machine classifier. Molecular medicine reports. vol 17. issue 1. 2018-07-16. PMID:29138828. |
the rfe algorithm screened 15 risk genes, which were employed to construct a svm classifier with an average precision of 88% to the patient sample following visualization by a confusion matrix. |
2018-07-16 |
2023-08-13 |
Not clear |