All Relations between Confusion and matrix compartment

Publication Sentence Publish Date Extraction Date Species
Mehdi Jahangiri, Milad Jahangiri, Mohammadamir Najafgholipou. The sensitivity and specificity analyses of ambient temperature and population size on the transmission rate of the novel coronavirus (COVID-19) in different provinces of Iran. The Science of the total environment. vol 728. 2020-06-24. PMID:32335407. the analysis of receiver operating characteristics (roc) allows measuring the performance of a classification model using the confusion matrix. 2020-06-24 2023-08-13 Not clear
Kemal Polat, Majid Nou. Parkinson disease classification using one against all based data sampling with the acoustic features from the speech signals. Medical hypotheses. vol 140. 2020-06-15. PMID:32197120. in order to evaluate the performance of the proposed hybrid models (the combination of classifiers and oga based data sampling), the classification accuracy, the confusion matrix, and area under the receiver operating characteristic (roc) curve (auc) have been used. 2020-06-15 2023-08-13 Not clear
Carlo Cavaliere, Elisa Vilades, Mª C Alonso-Rodríguez, María Jesús Rodrigo, Luis Emilio Pablo, Juan Manuel Miguel, Elena López-Guillén, Eva Mª Sánchez Morla, Luciano Boquete, Elena Garcia-Marti. Computer-Aided Diagnosis of Multiple Sclerosis Using a Support Vector Machine and Optical Coherence Tomography Features. Sensors (Basel, Switzerland). vol 19. issue 23. 2020-06-08. PMID:31816925. a svm was used as an automatic classifier, obtaining the confusion matrix using leave-one-out cross-validation. 2020-06-08 2023-08-13 human
Ryland Kagan, Lindsay Parlee, Brooke Beckett, James B Hayden, Kenneth R Gundle, Yee-Cheen Doun. Radiographic parameter-driven decision tree reliably predicts aseptic mechanical failure of compressive osseointegration fixation. Acta orthopaedica. vol 91. issue 2. 2020-04-24. PMID:31960731. the model's predictions were compared with clinical outcomes and a confusion matrix was generated.results - 6 of 8 reviewers had non-significant intra-rater iccs for ≥ one parameter; all inter-rater iccs were highly reliable (p < 0.001). 2020-04-24 2023-08-13 Not clear
b' Miriam Andrejiov\\xc3\\xa1, Miriama Pi\\xc5\\x88osov\\xc3\\xa1, Ru\\xc5\\xbeena Kr\\xc3\\xa1likov\\xc3\\xa1, Bystr\\xc3\\xadk Doln\\xc3\\xadk, Pavol Liptai, Erika Doln\\xc3\\xadkov\\xc3\\xa. Analysis of the Impact of Selected Physical Environmental Factors on the Health of Employees: Creating a Classification Model Using a Decision Tree. International journal of environmental research and public health. vol 16. issue 24. 2020-04-15. PMID:31842434.' the result confusion matrix shows that the number of correctly classified respondents was 69 from a total of 80 respondents. 2020-04-15 2023-08-13 Not clear
Veysel Alcan, Hilal Kaya, Murat Zinnuroğlu, Gülçin Kaymak Karataş, Mehmet Rahmi Cana. A novel approach to the diagnostic assessment of carpal tunnel syndrome based on the frequency domain of the compound muscle action potential. Biomedizinische Technik. Biomedical engineering. vol 65. issue 1. 2020-04-13. PMID:31377730. a counter-propagation artificial neural network (cpann), supervised kohonen network (skn) and xy-fused network (xyf) were compared to evaluate the classification and diagnostic performance of the parameters using the confusion matrix. 2020-04-13 2023-08-13 Not clear
Kesley J Gibson, Matthew K Streich, Tara S Topping, Gregory W Stun. Utility of citizen science data: A case study in land-based shark fishing. PloS one. vol 14. issue 12. 2020-04-01. PMID:31856212. using a confusion matrix, we determined that anglers correctly identified 97.2% of all shark catches submitted during the texas shark rodeo from 2014-2018; however, smaller sharks and certain species, including blacknose and spinner sharks, were more difficult to identify than others. 2020-04-01 2023-08-13 human
Rosario Delgado, Xavier-Andoni Tiba. Why Cohen's Kappa should be avoided as performance measure in classification. PloS one. vol 14. issue 9. 2020-03-12. PMID:31557204. specifically, we find out that when there is a decrease to zero of the entropy of the elements out of the diagonal of the confusion matrix associated to a classifier, the discrepancy between kappa and mcc rise, pointing to an anomalous performance of the former. 2020-03-12 2023-08-13 Not clear
Yuanyuan Shao, Guantao Xuan, Zhichao Hu, Zongmei Gao, Lei Li. Determination of the bruise degree for cherry using Vis-NIR reflection spectroscopy coupled with multivariate analysis. PloS one. vol 14. issue 9. 2020-03-10. PMID:31532801. confusion matrix illustrated misclassification generally occurred in normal and slight bruise samples. 2020-03-10 2023-08-13 Not clear
Mathan M, Krishnaveni . Monitoring spatio-temporal dynamics of urban and peri-urban land transitions using ensemble of remote sensing spectral indices-a case study of Chennai Metropolitan Area, India. Environmental monitoring and assessment. vol 192. issue 1. 2020-01-17. PMID:31811511. the confusion matrix was used for assessing the accuracy for the year 2017. 2020-01-17 2023-08-13 Not clear
Fei Zhang, Zhi-Xian Jing, Bao-Yu Ji, Li-Xin Pei, Sui-Qing Chen, Xuan-Ying Wang, Xiao-Bo Zhang, Ting-Ting Shi, Lu-Qi Huan. [Study of extracting natural resources of Chinese medicinal materials planted area in Luoning of Henan province based on UAV of low altitude remote sensing technology and remote sensing image of satellite]. Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica. vol 44. issue 19. 2020-01-14. PMID:31872682. support vector machine( svm) was used to classify and estimate the area of traditional chinese medicine resources in luoning county,confusion matrix was used to determine the accuracy of spatial distribution of traditional chinese medicine resources. 2020-01-14 2023-08-13 Not clear
Peter Bandi, Oscar Geessink, Quirine Manson, Marcory Van Dijk, Maschenka Balkenhol, Meyke Hermsen, Babak Ehteshami Bejnordi, Byungjae Lee, Kyunghyun Paeng, Aoxiao Zhong, Quanzheng Li, Farhad Ghazvinian Zanjani, Svitlana Zinger, Keisuke Fukuta, Daisuke Komura, Vlado Ovtcharov, Shenghua Cheng, Shaoqun Zeng, Jeppe Thagaard, Anders B Dahl, Huangjing Lin, Hao Chen, Ludwig Jacobsson, Martin Hedlund, Melih Cetin, Eren Halici, Hunter Jackson, Richard Chen, Fabian Both, Jorg Franke, Heidi Kusters-Vandevelde, Willem Vreuls, Peter Bult, Bram van Ginneken, Jeroen van der Laak, Geert Litjen. From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge. IEEE transactions on medical imaging. vol 38. issue 2. 2020-01-09. PMID:30716025. confusion matrix analysis revealed that all participants struggled with reliably identifying isolated tumor cells, the smallest type of metastasis, with detection rates below 40%. 2020-01-09 2023-08-13 human
Uma Devi Bommu, Kranthi Kumar Konidala, Neeraja Pabbaraju, Suneetha Yeguvapall. QSAR modeling, pharmacophore-based virtual screening, and ensemble docking insights into predicting potential epigallocatechin gallate (EGCG) analogs against epidermal growth factor receptor. Journal of receptor and signal transduction research. vol 39. issue 1. 2019-12-18. PMID:31223050. qsar modeling of logp and logs predictions and toxicity endpoint investigation for a set of 82 compounds were shown good predictive ability and robustness from the applicability domain and confusion matrix elucidations. 2019-12-18 2023-08-13 Not clear
Nazmuzzaman Khan, Sohel Anwa. Time-Domain Data Fusion Using Weighted Evidence and Dempster-Shafer Combination Rule: Application in Object Classification. Sensors (Basel, Switzerland). vol 19. issue 23. 2019-12-02. PMID:31779272. precision and recall from confusion matrix of the cnn are used to update basic probability assignment (bpa) which captures the classification uncertainty. 2019-12-02 2023-08-13 Not clear
Chuong H Nguyen, George K Karavas, Panagiotis Artemiadi. Adaptive multi-degree of freedom Brain Computer Interface using online feedback: Towards novel methods and metrics of mutual adaptation between humans and machines for BCI. PloS one. vol 14. issue 3. 2019-11-25. PMID:30840712. instead of evaluating the subjects' performance solely based on the conventional metric of accuracy, we analyze their skill's improvement based on 3 other criteria, namely the confusion matrix's quality, the separability of the data, and their instability. 2019-11-25 2023-08-13 human
Limin Wang, Sheng Guo, Weilin Huang, Yuanjun Xiong, Yu Qia. Knowledge Guided Disambiguation for Large-Scale Scene Classification With Multi-Resolution CNNs. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol 26. issue 4. 2019-11-20. PMID:28252402. second, we design two knowledge guided disambiguation techniques to deal with the problem of label ambiguity: 1) we exploit the knowledge from the confusion matrix computed on validation data to merge ambiguous classes into a super category and 2) we utilize the knowledge of extra networks to produce a soft label for each image. 2019-11-20 2023-08-13 Not clear
Yun Zhao, Mahamed Lamine Guindo, Xing Xu, Miao Sun, Jiyu Peng, Fei Liu, Yong H. Deep Learning Associated with Laser-Induced Breakdown Spectroscopy (LIBS) for the Prediction of Lead in Soil. Applied spectroscopy. vol 73. issue 5. 2019-11-20. PMID:30624080. a confusion matrix of the different algorithms shows that the dbn achieved satisfactory classification performance on all samples of contaminated soil. 2019-11-20 2023-08-13 Not clear
V Ramu Reddy, Venkata Subramanian Viraraghava. EmoSense: Automatically Sensing Emotions From Speech By Multi-way Classification. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. vol 2018. 2019-10-29. PMID:30441461. the multi-way classifier is an automated methodology of analyzing a confusion matrix of a first-level classifier to build more classifiers at the next level. 2019-10-29 2023-08-13 Not clear
V Ramu Reddy, Venkata Subramanian Viraraghava. EmoSense: Automatically Sensing Emotions From Speech By Multi-way Classification. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. vol 2018. 2019-10-29. PMID:30441461. the confusion matrix from this classification level is analyzed to decide, for each class, which other classes are most confused by using a threshold on the misclassification rate. 2019-10-29 2023-08-13 Not clear
Xiaolei Shen, Jiachi Zhang, Chenjun Yan, Hong Zho. An Automatic Diagnosis Method of Facial Acne Vulgaris Based on Convolutional Neural Network. Scientific reports. vol 8. issue 1. 2019-10-25. PMID:29643449. we use a roc curve to evaluate the performance of binary-classifier and use a normalized confusion matrix to evaluate the performance of seven-classifier. 2019-10-25 2023-08-13 Not clear