| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Geoff Phillips, Heliana Teixeira, Martyn Kelly, Fuensanta Salas Herrero, Gábor Várbíró, Anne Lyche Solheim, Agnieszka Kolada, Gary Free, Sandra Poikan. Setting nutrient boundaries to protect aquatic communities: The importance of comparing observed and predicted classifications using measures derived from a confusion matrix. The Science of the total environment. 2023-11-28. PMID:38013099. |
setting nutrient boundaries to protect aquatic communities: the importance of comparing observed and predicted classifications using measures derived from a confusion matrix. |
2023-11-28 |
2023-11-29 |
Not clear |
| Geoff Phillips, Heliana Teixeira, Martyn Kelly, Fuensanta Salas Herrero, Gábor Várbíró, Anne Lyche Solheim, Agnieszka Kolada, Gary Free, Sandra Poikan. Setting nutrient boundaries to protect aquatic communities: The importance of comparing observed and predicted classifications using measures derived from a confusion matrix. The Science of the total environment. 2023-11-28. PMID:38013099. |
for this purpose, the examination of the proportions of matching and mismatching status classifications of nutrients and a biological quality element using a confusion matrix is a key step that should be more widely adopted in threshold selection. |
2023-11-28 |
2023-11-29 |
Not clear |
| Chunling Wang, Cuicui Mia. Study on the Prediction Model of Wound Infection After Spinal Fusion and Internal Fixation Based on Logistic Regression. Studies in health technology and informatics. vol 308. 2023-11-26. PMID:38007797. |
in this paper, logistic logistic regression, smote algorithm and confusion matrix are used to model the probability of infection after spinal fusion and internal fixation. |
2023-11-26 |
2023-11-28 |
Not clear |
| Raghav V Anand, Abdul Quadir Md, Shabana Urooj, Senthilkumar Mohan, Mohamad A Alawad, Adittya . Enhancing Diagnostic Decision-Making: Ensemble Learning Techniques for Reliable Stress Level Classification. Diagnostics (Basel, Switzerland). vol 13. issue 22. 2023-11-25. PMID:37998591. |
to assess the model's performance, different metrics were used, such as the confusion matrix, accuracy, precision, recall, and f1 score. |
2023-11-25 |
2023-11-28 |
Not clear |
| Lloyd Prosper Chisedzi, Mbika Muteb. Detection of Broken Rotor Bars in Cage Induction Motors Using Machine Learning Methods. Sensors (Basel, Switzerland). vol 23. issue 22. 2023-11-25. PMID:38005467. |
a confusion matrix was used to validate the models' performance using accuracy, precision, recall, and f1-scores. |
2023-11-25 |
2023-11-28 |
Not clear |
| Zepeng Wang, Jianping Chen, Wei Chen, Changyuan Wan, Yunyan Liu, Junjie Huan. Susceptibility assessment of environmental geological disasters in Liulin County based on RF: from the perspective of positive and negative sample proportion. Environmental science and pollution research international. 2023-11-16. PMID:37968480. |
the results indicate that, through a confusion matrix test, the model's predictive performance reaches a "tipping point" at a sample ratio of 1:5. |
2023-11-16 |
2023-11-20 |
Not clear |
| Brij B Gupta, Kwok Tai Chui, Akshat Gaurav, Varsha Arya, Priyanka Chaurasi. A Novel Hybrid Convolutional Neural Network- and Gated Recurrent Unit-Based Paradigm for IoT Network Traffic Attack Detection in Smart Cities. Sensors (Basel, Switzerland). vol 23. issue 21. 2023-11-14. PMID:37960386. |
additionally, the confusion matrix offers valuable insights into the model's performance across these attack types. |
2023-11-14 |
2023-11-20 |
Not clear |
| Danjing Zhao, Linna Ji, Fengbao Yan. Land Cover Classification Based on Airborne Lidar Point Cloud with Possibility Method and Multi-Classifier. Sensors (Basel, Switzerland). vol 23. issue 21. 2023-11-14. PMID:37960542. |
finally, the confidence degree of each classifier for different categories was calculated by the confusion matrix and normalized to obtain the weights. |
2023-11-14 |
2023-11-20 |
Not clear |
| Qiong Wu, Jing Yu, Mingjin Zhang, Yinran Xiong, Lijia Zhu, Bo Wei, Ting Wu, Yiping D. Serum lipidomic profiling for liver cancer screening using surface-assisted laser desorption ionization MS and machine learning. Talanta. vol 268. issue Pt 2. 2023-11-06. PMID:37931569. |
the best diagnostic performance was attained by linear discriminant analysis (lda), which has a confusion matrix accuracy of 98.3 %. |
2023-11-06 |
2023-11-08 |
Not clear |
| Şuayip Burak Duman, Duygu Çelik Özen, Ibrahim Şevki Bayrakdar, Oğuzhan Baydar, Elham S Abu Alhaija, Dilek Helvacioğlu Yiğit, Özer Çelik, Rohan Jagtap, Roberta Pileggi, Kaan Orha. Second mesiobuccal canal segmentation with YOLOv5 architecture using cone beam computed tomography images. Odontology. 2023-11-01. PMID:37907818. |
confusion matrix and receiver-operating characteristic (roc) analysis were used in the statistical evaluation of the results. |
2023-11-01 |
2023-11-08 |
Not clear |
| Gabriela Varga, Lăcrămioara Stoicu-Tivadar, Stelian Nicol. Comparison of Data Classification Results in Serious Gaming for Rehabilitation of Rheumatoid Arthritis. Studies in health technology and informatics. vol 309. 2023-10-31. PMID:37869807. |
also, we create a confusion matrix for a clear visualization of the results. |
2023-10-31 |
2023-11-08 |
Not clear |
| Shaobo Ou-Yang, Shuqin Han, Dan Sun, Hongping Wu, Jianping Chen, Ying Cai, Dongmei Yin, Huidan Ou-Yang, Lan Lia. The preliminary in vitro study and application of deep learning algorithm in cone beam computed tomography image implant recognition. Scientific reports. vol 13. issue 1. 2023-10-30. PMID:37891408. |
accuracy rates, confusion matrix, roc curve, auc, number of model parameters and training times were used to assess the efficacy of these algorithms. |
2023-10-30 |
2023-11-08 |
Not clear |
| Shaobo Ou-Yang, Shuqin Han, Dan Sun, Hongping Wu, Jianping Chen, Ying Cai, Dongmei Yin, Huidan Ou-Yang, Lan Lia. The preliminary in vitro study and application of deep learning algorithm in cone beam computed tomography image implant recognition. Scientific reports. vol 13. issue 1. 2023-10-30. PMID:37891408. |
when used to identify implants, all nine algorithms perform satisfactorily, with resnet152v2 achieving the highest test accuracy, classification accuracy, confusion matrix area under the curve, and receiver operating characteristic curve area under the curve area. |
2023-10-30 |
2023-11-08 |
Not clear |
| Binchao Yu, Wei Liu, Yi Yu. Improved Calibration of Eye-in-Hand Robotic Vision System Based on Binocular Sensor. Sensors (Basel, Switzerland). vol 23. issue 20. 2023-10-30. PMID:37896696. |
however, because of the intrinsic deficiencies of the binocular sensor, such as the circle of confusion and observed error, the accuracy of the calibration matrix between the binocular sensor and the robot end is likely to decline. |
2023-10-30 |
2023-11-08 |
Not clear |
| Binchao Yu, Wei Liu, Yi Yu. Improved Calibration of Eye-in-Hand Robotic Vision System Based on Binocular Sensor. Sensors (Basel, Switzerland). vol 23. issue 20. 2023-10-30. PMID:37896696. |
first, to improve the accuracy of data used for solving the calibration matrix, a circle of confusion rectification method is proposed, which rectifies the position of the pixel in images in order to make the detected geometric feature close to the real situation. |
2023-10-30 |
2023-11-08 |
Not clear |
| Adriel Abraham, Rejath Jose, Jawad Ahmad, Jai Joshi, Thomas Jacob, Aziz-Ur-Rahman Khalid, Hassam Ali, Pratik Patel, Jaspreet Singh, Milan Tom. Comparative Analysis of Machine Learning Models for Image Detection of Colonic Polyps vs. Resected Polyps. Journal of imaging. vol 9. issue 10. 2023-10-27. PMID:37888322. |
the study assessed the models' ability to correctly classify the images into their respective classes using precision, recall, and f1 score generated from confusion matrix analysis and performance graphs. |
2023-10-27 |
2023-11-08 |
Not clear |
| James L Floman, Marc A Brackett, Matthew L LaPalme, Annette R Ponnock, Sigal G Barsade, Aidan Doyl. Development and Validation of an Ability Measure of Emotion Understanding: The Core Relational Themes of Emotion (CORE) Test. Journal of Intelligence. vol 11. issue 10. 2023-10-27. PMID:37888427. |
in study 1, we developed and refined the test items employing a literature review, expert panel, and confusion matrix with a demographically diverse sample. |
2023-10-27 |
2023-11-08 |
Not clear |
| Megumi Tamura, Takeshi Kawamoto, Minoru Ishifuro, Takayuki Tamura, Yoshifumi Masumoto, Masahiro Kenjo, Masao Kiguchi, Kazuo Awai, Yasushi Nagat. Radio Frequency Identification Gate System to Identify Misused Personal Dosimeters. Journal of medical systems. vol 47. issue 1. 2023-10-18. PMID:37851155. |
the system performance was evaluated using a confusion matrix, with an overall accuracy of 97.75%, demonstrating high classification performance. |
2023-10-18 |
2023-11-08 |
Not clear |
| Damte Tegegne Fetene, Tarun Kumar Lohani, Abdella Kemal Mohamme. LULC change detection using support vector machines and cellular automata-based ANN models in Guna Tana watershed of Abay basin, Ethiopia. Environmental monitoring and assessment. vol 195. issue 11. 2023-10-17. PMID:37848752. |
accuracy was assessed using the confusion matrix in arcgis 10.4 produced from ground truth data and google earth pro. |
2023-10-17 |
2023-11-08 |
Not clear |
| Imran Ali Khan, Hannes Birkhofer, Dominik Kunz, Drzewietzki Lukas, Vasily Ploshikhi. A Random Forest Classifier for Anomaly Detection in Laser-Powder Bed Fusion Using Optical Monitoring. Materials (Basel, Switzerland). vol 16. issue 19. 2023-10-14. PMID:37834607. |
the developed anomaly detection model's performance is evaluated using several metrics such as confusion matrix, dice coefficient, accuracy, precision, recall, and intersection-over-union (iou). |
2023-10-14 |
2023-10-15 |
Not clear |