Journal of Big Data, Vol. 10, 2023
Articles
1.) Research on sentiment analysis method of opinion mining based on multi-model fusion transfer learning. --Zhongnan Zhao, Wenjing Liu and Kun Wang
2.) Explainable machine learning models for Medicare fraud detection. --John T. Hancock, Richard A. Bauder, Huanjing Wang and Taghi M. Khoshgoftaar
3.) A multi-manifold learning based instance weighting and under-sampling for imbalanced data classification problems. --Tayyebe Feizi, Mohammad Hossein Moattar and Hamid Tabatabaee
4.) Accurate identification of cashmere and wool fibers based on enhanced ShuffleNetV2 and transfer learning. --Yaolin Zhu, Ran Liu, Gang Hu, Xin Chen and Wenya Li
5.) Efficient pollen grain classification using pre-trained Convolutional Neural Networks: a comprehensive study. --Masoud A. Rostami, Behnaz Balmaki, Lee A. Dyer, Julie M. Allen, Mohamed F. Sallam and Fabrizio Frontalini
6.) Automatic DNN architecture design using CPSOTJUTT for power system inspection. --Xian-Long Lv, Hsiao-Dong Chiang and Na Dong
7.) Dissecting tumor antigens and immune subtypes for mRNA vaccine development in breast cancer Cancer mRNA vaccines are a promising strategy and a hot topic in cancer immunotherapy. --Lang Li, Lvyuan He and Ying Zhu
8.) Cross-modality representation learning from transformer for hashtag prediction. --Mian Muhammad Yasir Khalil, Qingxian Wang, Bo Chen and Weidong Wang
9.) Cochran’s Q test for analyzing categorical data under uncertainty. --Muhammad Aslam
10.) A guide to creating an effective big data management framework. --S. T. Arundel, K. G. McKeehan, B. B. Campbell, A. N. Bulen and P. T. Thiem
11.) Contrastive self-supervised representation learning framework for metal surface defect detection. --Mahe Zabin, Anika Nahian Binte Kabir, Muhammad Khubayeeb Kabir, Ho-Jin Choi and Jia Uddin
12.) Advanced machine learning techniques for cardiovascular disease early detection and diagnosis. --Nadiah A. Baghdadi, Sally Mohammed Farghaly Abdelaliem, Amer Malki, Ibrahim Gad, Ashraf Ewis and Elsayed Atlam
13.) Simulating imprecise data: sine–cosine and convolution methods with neutrosophic normal distribution. --Muhammad Aslam
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1.) Research on sentiment analysis method of opinion mining based on multi-model fusion transfer learning. --Zhongnan Zhao, Wenjing Liu and Kun Wang
2.) Explainable machine learning models for Medicare fraud detection. --John T. Hancock, Richard A. Bauder, Huanjing Wang and Taghi M. Khoshgoftaar
3.) A multi-manifold learning based instance weighting and under-sampling for imbalanced data classification problems. --Tayyebe Feizi, Mohammad Hossein Moattar and Hamid Tabatabaee
4.) Accurate identification of cashmere and wool fibers based on enhanced ShuffleNetV2 and transfer learning. --Yaolin Zhu, Ran Liu, Gang Hu, Xin Chen and Wenya Li
5.) Efficient pollen grain classification using pre-trained Convolutional Neural Networks: a comprehensive study. --Masoud A. Rostami, Behnaz Balmaki, Lee A. Dyer, Julie M. Allen, Mohamed F. Sallam and Fabrizio Frontalini
6.) Automatic DNN architecture design using CPSOTJUTT for power system inspection. --Xian-Long Lv, Hsiao-Dong Chiang and Na Dong
7.) Dissecting tumor antigens and immune subtypes for mRNA vaccine development in breast cancer Cancer mRNA vaccines are a promising strategy and a hot topic in cancer immunotherapy. --Lang Li, Lvyuan He and Ying Zhu
8.) Cross-modality representation learning from transformer for hashtag prediction. --Mian Muhammad Yasir Khalil, Qingxian Wang, Bo Chen and Weidong Wang
9.) Cochran’s Q test for analyzing categorical data under uncertainty. --Muhammad Aslam
10.) A guide to creating an effective big data management framework. --S. T. Arundel, K. G. McKeehan, B. B. Campbell, A. N. Bulen and P. T. Thiem
11.) Contrastive self-supervised representation learning framework for metal surface defect detection. --Mahe Zabin, Anika Nahian Binte Kabir, Muhammad Khubayeeb Kabir, Ho-Jin Choi and Jia Uddin
12.) Advanced machine learning techniques for cardiovascular disease early detection and diagnosis. --Nadiah A. Baghdadi, Sally Mohammed Farghaly Abdelaliem, Amer Malki, Ibrahim Gad, Ashraf Ewis and Elsayed Atlam
13.) Simulating imprecise data: sine–cosine and convolution methods with neutrosophic normal distribution. --Muhammad Aslam
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Zhongnan Zhao - Personal Name
Mahe Zabin - Personal Name
Muhammad Aslam - Personal Name
Mian Muhammad Yasir Khalil - Personal Name
Lang Li - Personal Name
Xian-Long Lv - Personal Name
Masoud A. Rostami - Personal Name
Yaolin Zhu - Personal Name
Tayyebe Feizi - Personal Name
John T. Hancock - Personal Name
Nadiah A. Baghdadi - Personal Name
Mahe Zabin - Personal Name
Muhammad Aslam - Personal Name
Mian Muhammad Yasir Khalil - Personal Name
Lang Li - Personal Name
Xian-Long Lv - Personal Name
Masoud A. Rostami - Personal Name
Yaolin Zhu - Personal Name
Tayyebe Feizi - Personal Name
John T. Hancock - Personal Name
Nadiah A. Baghdadi - Personal Name
Vol. 10, 2023
2196-1115
e-Journal TI
Inggris
Springer Nature
2023
Cambridge, United Kingdom
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