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Cited by in CrossRef
For: Dalal S, Onyema EM, Malik A. Hybrid XGBoost model with hyperparameter tuning for prediction of liver disease with better accuracy. World J Gastroenterol 2022; 28(46): 6551-6563 [PMID: 36569269 DOI: 10.3748/wjg.v28.i46.6551]
URL: https://www.wjgnet.com/1948-5182/full/v28/i46/6551.htm
Number Citing Articles
1
Efficient Machine leaning algorithms for sentiment analysis in Car rental sevice2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES) 2023; : 475 doi: 10.1109/CISES58720.2023.10183424
2
Surjeet Dalal, Bijeta Seth, Magdalena Radulescu. Digitalization, Sustainable Development, and Industry 5.02023; : 267 doi: 10.1108/978-1-83753-190-520231014
3
Surjeet Dalal, Umesh Kumar Lilhore, Poongodi Manoharan, Uma Rani, Fadl Dahan, Fahima Hajjej, Ismail Keshta, Ashish Sharma, Sarita Simaiya, Kaamran Raahemifar. An Efficient Brain Tumor Segmentation Method Based on Adaptive Moving Self-Organizing Map and Fuzzy K-Mean ClusteringSensors 2023; 23(18): 7816 doi: 10.3390/s23187816
4
Devansh Gahlawat, Shilpa Suhag, Uma Rani, Sarika Madavi. Hybrid deep learning model for IT-OT integration in Industry 4.02023 Second International Conference On Smart Technologies For Smart Nation (SmartTechCon) 2023; : 1025 doi: 10.1109/SmartTechCon57526.2023.10391501
5
Improved Machine leaning algorithms for sentiment analysis2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES) 2023; : 475 doi: 10.1109/CISES58720.2023.10197648
6
D. Antony Pradeesh, Y. Syamala, P. Priya, Madhavi Sripathi, Srilakshmi Kaza, Rohith Bala Jaswanth B. Advanced Interoperable Framework for Real-Time Predictive Analysis Leveraging Machine Learning and IoT in Smart Health Monitoring Systems2023 International Conference on Electrical, Computer and Energy Technologies (ICECET) 2023; : 1 doi: 10.1109/ICECET58911.2023.10389275
7
Yagyanath Rimal, Siddhartha Paudel, Navneet Sharma, Abeer Alsadoon. Machine learning model matters its accuracy: a comparative study of ensemble learning and AutoML using heart disease predictionMultimedia Tools and Applications 2023; 83(12): 35025 doi: 10.1007/s11042-023-16380-z
8
Efficient Machine Leaning Algorithms for Sentiment Analysis In Car Rental Service2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES) 2023; : 452 doi: 10.1109/CISES58720.2023.10183435
9
Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik. Predicting Chronic Liver Disease Using Boosting Technique2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI) 2023; : 1 doi: 10.1109/ICAIIHI57871.2023.10489026
10
Huseyin Cagan Kilinc, Bulent Haznedar, Furkan Ozkan, Okan Mert Katipoğlu. An evolutionary hybrid method based on particle swarm optimization algorithm and extreme gradient boosting for short-term streamflow forecastingActa Geophysica 2024;  doi: 10.1007/s11600-024-01307-5
11
Erapaneni Gayatri, S. L. Aarthy. Classification of skin cancer using deep batch-normalized elu alexnet with fractional sparrow ladybug optimizationMultimedia Tools and Applications 2023; 83(14): 42319 doi: 10.1007/s11042-023-16999-y
12
Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik. A comparative analysis of boosting algorithms for chronic liver disease predictionHealthcare Analytics 2024; 5: 100313 doi: 10.1016/j.health.2024.100313
13
Surjeet Dalal, Bijeta Seth, Magdalena Radulescu, Teodor Florin Cilan, Luminita Serbanescu. Optimized Deep Learning with Learning without Forgetting (LwF) for Weather Classification for Sustainable Transportation and Traffic SafetySustainability 2023; 15(7): 6070 doi: 10.3390/su15076070
14
Yuk Ming Tang, Ka Yin Chau, Yui-yip Lau, Zehang Zheng. Data-Intensive Inventory Forecasting with Artificial Intelligence Models for Cross-Border E-Commerce Service AutomationApplied Sciences 2023; 13(5): 3051 doi: 10.3390/app13053051