| |
original article |
Date |
Title |
Authors Max. 6 Authors |
| 1 |
[GO] |
2026―Sep―23 |
Advances in Machine Learning for Drug Repurposing: From Methodologies to Precision Medicine with Case Studies in COVID-19, Parkinson's Disease, and Cancer |
Betel Gurara, Saron Gebremichael, Hana Sheto, Varsha Manikandan, Frank Martin, Bemnet Kinfe, Sumitra Miriyala, Gayathri Sadanala |
| 2 |
[GO] |
2025―Dec―03 |
Data Adaptive Stochastic Ensemble Net: Optimizing Infection Predictions for COVID-19 Cluster Analysis |
Sungjun Lim, Yongtaek Lim, Hojun Park, Junggu Lee, Jaehun Jung, Kyungwoo Song |
| 3 |
[GO] |
2025―Oct―28 |
Identification of Pandemic Risk for Avian Influenza Virus with Graph Cross Attention Networks |
Jiahao Shen, Xiaoli Qiang, Yaohua Liu, Qura Tul Ain, Zheng Kou |
| 4 |
[GO] |
2025―Oct―07 |
ACGM: Attribute-Centric Graph Modeling Network for Concurrent Missing Tabular Data Imputation and COVID-19 Prognosis |
Zhuoru Wu, Wenting Chen, Xuechen Li, Filippo Ruffini, Shaonan Liu, Lorenzo Tronchin, Domenico Albano, Eliodoro Faiella, Deborah Fazzini, Domiziana Santucci, Xiaoling Luo, Valerio Guarrasi, Paolo Soda, Linlin Shen |
| 5 |
[GO] |
2025―Apr―15 |
LM-TLIPs: Integrating Large Model and Transfer Learning Technology for Precise Identification of Phosphorylation Sites in SARS-CoV-2 |
Yun Zuo, Minquan Wan, Xinyue Shao, Dandan Qiao, Bulanni Xiong, Zhaohong Deng |
| 6 |
[GO] |
2024―Dec―09 |
Capturing the Impact of Vaccination and Human Mobility on the Evolution of COVID-19 Pandemic |
Md Mahmudul Islam, Taj Azarian, Shaurya Agarwal, Sobur Ali |
| 7 |
[GO] |
2024―Dec―02 |
Early Time Series Classification Using Reinforcement Learning for Pre-Symptomatic Covid-19 Screening From Imbalanced Health Tracker Data |
Atifa Sarwar, Abdulsalam Almadani, Emmanuel O. Agu |
| 8 |
[GO] |
2024―Oct―04 |
Acoustic COVID-19 Detection Using Multiple Instance Learning |
Michael Reiter, Pernkopf Franz |
| 9 |
[GO] |
2024―Jul―23 |
Generative AI in the Advancement of Viral Therapeutics for Predicting and Targeting Immune-Evasive SARS-CoV-2 Mutations |
Prem Singh Bist, Hilal Tayara, Kil To Chong |
| 10 |
[GO] |
2024―Apr―02 |
Developing deep LSTMs with later temporal attention for predicting COVID-19 severity, clinical outcome, and antibody level by screening serological indicators over time |
Jiaxin Cai, Yang Li, Baichen Liu, Zhixi Wu, Shengjun Zhu, Qiliang Chen, Qing Lei, Hongyan Hou, Zhibin Guo, Hewei Jiang, Shujuan Guo, Feng Wang, Shengjing Huang, Shunzhi Zhu, Xionglin Fan, Shengce Tao |
| 11 |
[GO] |
2024―Feb―27 |
An Automated Analysis Framework for Epidemiological Survey on COVID-19 |
Zichao Lin, Xialv Lin, Xu Yang |
| 12 |
[GO] |
2024―Feb―08 |
Cost-sensitive ordinal classification methods to predict SARS-CoV-2 pneumonia severity |
Fernando García-García, Dae-Jin Lee, Pedro Pablo España Yandiola, Isabel Urrutia Landa, Joaquín Martínez-Minaya, Miren Hayet-Otero, Mónica Nieves Ermecheo, José María Quintana, Rosario Menéndez, Antoni Torres, Rafael Zalacain Jorge |
| 13 |
[GO] |
2024―Jan―31 |
Network Activity Evaluation Reveals Significant Gene Regulatory Architectures during SARS-CoV-2 Viral Infection from Dynamic scRNA-seq Data |
Chuanyuan Wang, Zhi-Ping Liu |
| 14 |
[GO] |
2023―Dec―05 |
COVID-19 Detection from Respiratory Sounds with Hierarchical Spectrogram Transformers |
Idil Aytekin, Onat Dalmaz, Kaan Gonc, Haydar Ankishan, Emine U Saritas, Ulas Bagci, Haydar Celik, Tolga Çukur |
| 15 |
[GO] |
2023―Oct―13 |
An Improved COVID-19 Classification Model on Chest Radiography by Dual-Ended Multiple Attention Learning |
Yongxian Fan, Hao Gong |
| 16 |
[GO] |
2023―Jul―07 |
COVID-19 Vaccine Adverse Event Detection Based on Multi-label Classification with Various Label Selection Strategies |
Donghua Chen, Runtong Zhang |
| 17 |
[GO] |
2023―Jun―24 |
A Transformer-Based Model Trained on Large Scale Claims Data for Prediction of Severe COVID-19 Disease Progression |
Manuel Lentzen, Thomas Linden, Sai Veeranki, Sumit Madan, Diether Kramer, Werner Leodolter, Holger Fröhlich |
| 18 |
[GO] |
2023―Jun―14 |
MRL-Net: Multi-scale Representation Learning Network for COVID-19 Lung CT Image Segmentation |
Shangwang Liu, Tongbo Cai, Xiufang Tang, Changgeng Wang |
| 19 |
[GO] |
2023―May―25 |
A Novel AUC Maximization Imbalanced Learning Approach for Predicting Composite Outcomes in COVID-19 Hospitalized Patients |
Guanjin Wang, Stephen Wai Hang Kwok, Mohammed Yousufuddin, Ferdous Sohel |
| 20 |
[GO] |
2023―Apr―21 |
Novel Graph Topology Learning for Spatio-Temporal Analysis of COVID-19 Spread |
Baoling Shan, Xin Yuan, Wei Ni, Xin Wang, Ren Ping Liu |
| 21 |
[GO] |
2023―Apr―06 |
Self-Assessment of Having COVID-19 With the Corona Check Mhealth App |
Felix Beierle, Johannes Allgaier, Carolin Stupp, Thomas Keil, Winfried Schlee, Johannes Schobel, Carsten Vogel, Fabian Haug, Julian Haug, Marc Holfelder, Berthold Langguth, Jana Langguth, Burgi Riens, Ryan King, Lena Mulansky, Marc Schickler, Michael Stach, Peter Heuschmann, Manfred Wildner, Helmut Greger, Manfred Reichert, Hans A. Kestler, Rüdiger Pryss |
| 22 |
[GO] |
2023―Apr―04 |
Redefining Lobe-Wise Ground-Glass Opacity in COVID-19 Through Deep Learning and its Correlation With Biochemical Parameters |
Budhadev Baral, Kartik Muduli, Shweta Jakhmola, Omkar Indari, Jatin Jangir, Ashraf Haroon Rashid, Suchita Jain, Amrut Kumar Mohapatra, Shubhransu Patro, Preetinanda Parida, Namrata Misra, Ambika Prasad Mohanty, Bikash R Sahu, Ajay Kumar Jain, Selvakumar Elangovan, Hamendra Singh Parmar, M. Tanveer, Nirmal Kumar Mohakud, Hem Chandra Jha |
| 23 |
[GO] |
2023―Feb―09 |
Hierarchical Convolutional Attention Network for Depression Detection on Social Media and Its Impact During Pandemic |
Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu |
| 24 |
[GO] |
2023―Jan―24 |
Classification of Patient Recovery from COVID-19 Symptoms using Consumer Wearables and Machine Learning |
Jared Leitner, Alexander Behnke, Po-Han Chiang, Michele Ritter, Marlene Millen, Sujit Dey |
| 25 |
[GO] |
2022―Dec―20 |
Privacy-Aware Early Detection of COVID-19 Through Adversarial Training |
Omid Rohanian, Samaneh Kouchaki, Andrew Soltan, Jenny Yang, Morteza Rohanian, Yang Yang, David Clifton |
| 26 |
[GO] |
2022―Nov―09 |
CXR-Net: A Multitask Deep Learning Network for Explainable and Accurate Diagnosis of COVID-19 Pneumonia from Chest X-ray Images |
Xin Zhang, Liangxiu Han, Tam Sobeih, Lianghao Han, Nina Dempsey, Symeon Lechareas, Ascanio Tridente, Haoming Chen, Stephen White, Daoqiang Zhang |
| 27 |
[GO] |
2022―Oct―10 |
Reproduction Factor Based Latent Epidemic Model Inference: A Data-driven Approach Using COVID-19 Datasets |
Sujin Ahn, Minhae Kwon |
| 28 |
[GO] |
2022―Oct―10 |
Dynamic Link Prediction for Discovery of New Impactful COVID-19 Research Approaches |
Xiangyu Wang, Yuan Li, Taiyu Ban, Jiarun Zhu, Lyuzhou Chen, Muhammad Usman, Xin Wang, Huanhuan Chen, Xiaomei Chen, Cyril Leung, Chunyan Miao |
| 29 |
[GO] |
2022―Sep―08 |
Semantic-Powered Explainable Model-Free Few-Shot Learning Scheme of Diagnosing COVID-19 on Chest X-ray |
Yihang Wang, Chunjuan Jiang, Youqing Wu, Tianxu Lv, Heng Sun, Yuan Liu, Lihua Li, Xiang Pan |
| 30 |
[GO] |
2022―Sep―06 |
SimH: a novel representation learning model with activation and projection mechanisms for COVID-19 knowledge bases |
Qing Su, Enhai Ou, Yuping Sun, Chunyan Lv, Guobo Xie, Haoqing Wang, Honglin Huang |
| 31 |
[GO] |
2022―Aug―19 |
MFL-Net: An Efficient Lightweight Multi-Scale Feature Learning CNN for COVID-19 Diagnosis from CT Images |
Amogh Manoj Joshi, Deepak Ranjan Nayak |
| 32 |
[GO] |
2022―Aug―11 |
Reinforcement Learning based Diagnosis and Prediction for COVID-19 by Optimizing A Mixed Cost Function from CT Images |
Siying Chen, Minghui Liu, Pan Deng, Jiali Deng, Yi Yuan, Xuan Cheng, Tianshu Xie, Libo Xie, Wei Zhang, Haigang Gong, Xiaomin Wang, Lifeng Xu, Hong Pu, Ming Liu |
| 33 |
[GO] |
2022―Aug―10 |
Gradient Boosting Machine and Efficient Combination of Features for Speech-Based Detection of COVID-19 |
Tusar Kanti Dash, Chinmay Chakraborty, Satyajit Mahapatra, Ganapati Panda |
| 34 |
[GO] |
2022―Jul―01 |
Multi-Objective Reinforcement Learning Based Healthcare Expansion Planning Considering Pandemic Events |
Salman Sadiq Shuvo, Hasan Symum, Md Rubel Ahmed, Yasin Yilmaz, Jose L. Zayas-Castro |
| 35 |
[GO] |
2022―Jun―08 |
5G in Healthcare: from COVID-19 to Future Challenges |
Andrea Moglia, Konstantinos Georgiou, Blagoi Marinov, Evangelos Georgiou, Raffaella Nice Berchiolli, Richard M. Satava, Alfred Cuschieri |
| 36 |
[GO] |
2022―May―25 |
SC2Net: A Novel Segmentation-based Classification Network for Detection of COVID-19 in Chest X-ray Images |
Zhenyu Fang, Huimin Zhao, Jinchang Ren, Calum Maclellan, Yong Xia, Shuo Li, Meijun Sun, Kevin Ren |
| 37 |
[GO] |
2022―May―11 |
Decision-making algorithm and predictive model to assess the impact of infectious disease epidemics on the healthcare system: the COVID-19 case study in Italy |
Angelo Damone, Milena Vainieri, Maurizia Brunetto, Ferruccio Bonino, Sabina Nuti, Gastone Ciuti |
| 38 |
[GO] |
2022―May―06 |
Learning COVID-19 Pneumonia Lesion Segmentation from Imperfect Annotations via Divergence-Aware Selective Training |
Shuojue Yang, Guotai Wang, Hui Sun, Xiangde Luo, Peng Sun, Kang Li, Qijun Wang, Shaoting Zhang |
| 39 |
[GO] |
2022―Apr―22 |
Understanding the dynamics of pandemic models to support predictions of COVID-19 transmission: Parameter sensitivity analysis of the SIR-type model |
Chunfeng Ma, Xin Li, Zebin Zhao, Feng Liu, Kun Zhang, Adan Wu, Xiaowei Nie |
| 40 |
[GO] |
2022―Mar―17 |
Fine-Grained Agent-Based Modeling to Predict Covid-19 Spreading and Effect of Policies in Large-Scale Scenarios |
Gianfranco Lombardo, Mattia Pellegrino, Michele Tomaiuolo, Stefano Cagnoni, Monica Mordonini, Mario Giacobini, Agostino Poggi |
| 41 |
[GO] |
2022―Jan―25 |
Healthcare Innovations to Address the Challenges of the COVID-19 Pandemic |
Metin Akay, Shankar Subramaniam, Colin Brenan, Paolo Bonato, Charlotte Mae K Waits, Bruce Wheeler, Dimitrios I. I. Fotiadis |
| 42 |
[GO] |
2022―Jan―18 |
IoMT: A COVID-19 Healthcare System driven by Federated Learning and Blockchain |
O. Samuel, A. B. Omojo, A. M. Onuja, Y. Sunday, Prayag Tiwari, Deepak Gupta, G. Hafeez, A. S. Yahaya, O. J. Fatoba, Shahab Shamshirband |
| 43 |
[GO] |
2021―Dec―31 |
A Time-Series Feature-based Recursive Classification Model to Optimize Treatment Strategies for Improving Outcomes and Resource Allocations of COVID-19 Patients |
Lin Wang, Zheng Yin, Mamta Puppala, Chika F Ezeana, Kelvin K Wong, Tiancheng He, Deepa B Gotur, Stephen T.C. Wong |
| 44 |
[GO] |
2021―Dec―14 |
An Expectation Maximization based Adaptive Group Testing Method for Improving Efficiency and Sensitivity of Large-Scale Screening of COVID-19 |
Xiaofang Xia, Yang Liu, Bo Yang, Yingfan Liu, Jiangtao Cui, Yinglong Zhang |
| 45 |
[GO] |
2021―Dec―07 |
Aspect Based Twitter Sentiment Analysis on Vaccination and Vaccine Types in COVID-19 Pandemic with Deep Learning |
Irfan Aygun, Buket Kaya, Mehmet Kaya |
| 46 |
[GO] |
2021―Dec―02 |
Detection of COVID-19 with CT Images using Hybrid Complex Shearlet Scattering Networks |
Qingyun Ren, Bingyin Zhou, Liang Tian, Wei Guo |
| 47 |
[GO] |
2021―Oct―27 |
A Deep Language Model for Symptom Extraction from Clinical Text and Its Application to Extract COVID-19 symptoms from Social Media |
Xiao Luo, Priyanka Gandhi, Susan Storey, Kun Huang |
| 48 |
[GO] |
2021―Oct―25 |
Mobility and COVID-19 in Andorra: Country-scale analysis of high-resolution mobility patterns and infection spread |
Ronan Doorley, Alex Berke, Ariel Noyman, Luis Alonso, Josep Ferriz Ribo, Vanesa Arroyo, Marc Pons, Kent Larson |
| 49 |
[GO] |
2021―Sep―30 |
Data and Network Analytics for COVID-19 ICU Patients: A Case Study for a Spanish Hospital |
Sergio Martinez-Aguero, Antonio Garcia Marques, Inmaculada Mora-Jimenez, Joaquin Alvarez-Rodriguez, Cristina Soguero-Ruiz |
| 50 |
[GO] |
2021―Sep―21 |
A Vaccination Simulator for COVID-19: Effective and Sterilizing Immunization Cases |
Aknur Karabay, Askat Kuzdeuov, Shyryn Ospanova, Michael Lewis, Huseyin Atakan Varol |
| 51 |
[GO] |
2021―Sep―09 |
Choquet Integral and Coalition Game-based Ensemble of Deep Learning Models for COVID-19 Screening from Chest X-ray Images |
Pratik Bhowal, Subhankar Sen, Jin Hee Yoon, Zong Woo Geem, Ram Sarkar |
| 52 |
[GO] |
2021―Aug―20 |
Exploiting Shared Knowledge from Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation |
Yichi Zhang, Qingcheng Liao, Lin Yuan, He Zhu, Jiezhen Xing, Jicong Zhang |
| 53 |
[GO] |
2021―Aug―13 |
Integrated Clinical and CT based Artificial Intelligence nomogram for predicting severity and need for ventilator support in COVID-19 patients: A multi-site study |
Amogh Hiremath, Kaustav Bera, Lei Yuan, Pranjal Vaidya, Mehdi Alilou, Jennifer Furin, Keith Armitage, Robert Gilkeson, Mengyao Ji, Pingfu Fu, Amit Gupta, Cheng Lu, Anant Madabushi |
| 54 |
[GO] |
2021―Aug―13 |
COVID-19 Screening in Chest X-Ray Images Using Lung Region Priors |
Jianpeng An, Qing Cai, Zhiyong Qu, Zhongke Gao |
| 55 |
[GO] |
2021―Aug―13 |
VaCoChain: Blockchain-based 5G-assisted UAV Vaccine distribution scheme for future pandemics |
Ashwin Verma, Pronaya Bhattacharya, Mohammad Zuhair, Sudeep Tanwar, Neeraj Kumar |
| 56 |
[GO] |
2021―Aug―11 |
Systematic Review of Artificial Intelligence in Acute Respiratory Distress Syndrome for COVID-19 Lung Patients: A Biomedical Imaging Perspective |
Jasjit Suri, Sushant Agarwal, Suneet K Gupta, Anudeep Puvvula, Klaudija Viskovic, Neha Suri, Azra Alizad, Ayman El-Baz, Luca Saba, Mostafa Fatemi, D. Subbaram Naidu |
| 57 |
[GO] |
2021―Aug―10 |
Self-Ensembling Co-Training Framework for Semi-supervised COVID-19 CT Segmentation |
Caizi Li, Li Dong, Qi Dou, Fan Lin, Kebao Zhang, Zuxin Feng, Weixin Si, Xuesong Deng, Zhe Deng, Pheng Ann Heng |
| 58 |
[GO] |
2021―Jun―15 |
Comparative Study of COVD-19 Pandemic Progressions in 175 Regions in Australia, Canada, Italy, Japan, Spain, UK and USA Using a Novel Model That Considers Testing Capacity and Deficiency in Confirming Infected Cases |
Choujun Zhan, Chi Kong Tse, Ying Gao, Tianyong Hao |
| 59 |
[GO] |
2021―May―25 |
Attention-RefNet: Interactive Attention Refinement Network for Infected Area Segmentation of COVID-19 |
Titinunt Kitrungrotsakul, Qingqing Chen, Huitao Wu, Yutaro Iwamoto, Honjie Hu, Wenchao Zhu, Chao Chen, Fangyi Xu, Yong Zhou, Lanfen Lin, Ruo-feng Tong, Jingsong Li, Yen Wei Chen |
| 60 |
[GO] |
2021―Apr―27 |
A Deep Learning Radiomics Model to Identify Poor Outcome in COVID-19 Patients with Underlying Health Conditions: A Multicenter Study |
Siwen Wang, Di Dong, Liang Li, Hailin Li, Yan Bai, Yahua Hu, Yuanyi Huang, Xiangrong Yu, Sibin Liu, Xiaoming Qiu, Ligong Lu, Meiyun Wang, Yunfei Zha, Jie Tian |
| 61 |
[GO] |
2021―Apr―21 |
COVID-19 Automatic Diagnosis with Radiographic Imaging: Explainable AttentionTransfer Deep Neural Networks |
Wenqi Shi, Li Tong, Yuanda Zhu, May Dongmei Wang |
| 62 |
[GO] |
2021―Apr―09 |
Multilevel Deep-Aggregated Boosted Network to Recognize COVID-19 Infection from Large-Scale Heterogeneous Radiographic Data |
Muhammad Owais, Young Won Lee, Tahir Mahmood, Adnan Haider, Haseeb Sultan, Kang Ryoung Park |
| 63 |
[GO] |
2021―Mar―31 |
Automated Detection of COVID-19 Cases on Radiographs using Shape-Dependent Fibonacci-p Patterns |
Karen Panetta, Foram Sanghavi, Sos Agaian, Neel Madan |
| 64 |
[GO] |
2021―Mar―26 |
COVID-19 in CXR: from Detection and Severity Scoring to Patient Disease Monitoring |
Maayan Fridadar, Rula Amer, Ophir Gozes, Jannette Nassar, Hayit Greenspan |
| 65 |
[GO] |
2021―Mar―19 |
Lung Lesion Localization of COVID-19 from Chest CT Image: A Novel Weakly Supervised Learning Method |
Ziduo Yang, Lu Zhao, Shuyu Wu, Yu-Chian Chen |
| 66 |
[GO] |
2021―Mar―18 |
Integration of CNN, CBMIR, and Visualization Techniques for Diagnosis and Quantification of Covid-19 Disease |
Saeed Mohagheghi, Mehdi Alizadeh, Seyed Mahdi Safavi, Amir H. Foruzan, Yen Wei Chen |
| 67 |
[GO] |
2021―Mar―03 |
Monitoring and Tracking the Evolution of a Viral Epidemic Through Nonlinear Kalman Filtering: Application to the Covid-19 Case |
Antonio Gomez-Exposito, Jose A. Rosendo-Macias, Miguel A. Gonzalez-Cagigal |
| 68 |
[GO] |
2021―Feb―19 |
Recommendation to Use Wearable-based mHealth in Closed-Loop Management of Acute Cardiovascular Disease Patients during the COVID-19 Pandemic |
Nan Ji, Ting Xiang, Paolo Bonato, Nigel Hamilton Lovell, Sze-Yuan Ooi, David Clifton, Metin Akay, Xiao-Rong Ding, Bryan Yan, Vincent Mok, Dimitrios I. I. Fotiadis, Yuanting Zhang |
| 69 |
[GO] |
2021―Feb―18 |
Eliminating Indefiniteness of Clinical Spectrum for Better Screening COVID-19 |
Guangyu Guo, Zhuoyan Liu, Shijie Zhao, Lei Guo, Tianming Liu |
| 70 |
[GO] |
2021―Feb―10 |
Multiscale Attention Guided Network for COVID-19 Diagnosis Using Chest X-ray Images |
Jingxiong Li, Yaqi Wang, Shuai Wang, Jun Wang, Jun Liu, Qun Jin, Lingling Sun |
| 71 |
[GO] |
2021―Jan―15 |
Machine Learning Model For Computational Tracking and Forecasting the COVID-19 Dynamic Propagation |
Ginalber L.O. Serra, Daiana Caroline dos Santos Gomes |
| 72 |
[GO] |
2020―Dec―04 |
COVID-19 CT Image Synthesis with a Conditional Generative Adversarial Network |
Yifan Jiang, Han Chen, M. H. Loew, Hanseok Ko |
| 73 |
[GO] |
2020―Nov―10 |
COVIDGR dataset and COVID-SDNet methodology for predicting COVID-19 based on Chest X-Ray images |
Siham Tabik |
| 74 |
[GO] |
2020―Nov―09 |
Classification of Severe and Critical COVID-19 Using Deep Learning and Radiomics |
Cong Li, Di Dong, Liang Li, Wei Gong, Xiaohu Li, Yan Bai, Meiyun Wang, Zhenhua Hu, Yunfei Zha, Jie Tian |
| 75 |
[GO] |
2020―Oct―27 |
A Deep Learning Prognosis Model Help Alert for COVID-19 Patients at High-Risk of Death: A Multi-center Study |
Lingwei Meng, Di Dong, Liang Li, Meng Niu, Yan Bai, Meiyun Wang, Xiaoming Qiu, Yunfei Zha, Jie Tian |
| 76 |
[GO] |
2020―Oct―12 |
Severity and Consolidation Quantification of COVID-19 from CT Images Using Deep Learning Based on Hybrid Weak Labels |
Dufan Wu, Kuang Gong, Chiara Arru, Fatemeh Homayounieh, Bernardo Bizzo, Varun Buch, Hui Ren, Kyungsang Kim, Nir Neumark, Pengcheng Xu, Zhiyuan Liu, Wei Fang, Nuobei Xie, Won Young Tak, Soo Young Park, Yu Rim Lee, Min Kyu Kang, Jung Gil Park, Alessandro Carriero, Luca Saba, Mahsa Masjedi, Hamidreza Talari, Rosa Babaei, Hadi Karimi Mobin, Shadi Ebrahimian, Ittai Dayan, Mannudeep K. Kalra, Quanzheng Li |
| 77 |
[GO] |
2020―Oct―07 |
Editorial Special Issue on “AI-Driven Informatics, Sensing, Imaging and Big Data Analytics for Fighting the COVID-19 Pandemic” |
Amir Amini, Wei Chen, Giancarlo Fortino, Ye Li, Yi Pan, May Dongmei Wang |
| 78 |
[GO] |
2020―Sep―30 |
Derivation and validation of a novel intelligent computational approach to model epidemiological trends and assess the impact of non-pharmacological interventions for COVID-19 |
Jinchang Ren, Yijun Yan, Huimin Zhao, Ping Ma, Jaime Zabalza, Zain Hussain, Shaoming Luo, Qingyun Dai, Sophia Zhao, Aziz Sheikh, Amir Hussain |
| 79 |
[GO] |
2020―Sep―23 |
A Privacy-preserving Mobile and Fog Computing Framework to Trace and Prevent COVID-19 Community Transmission |
Md Whaiduzzaman, Md. Razon Hossain, Ahmedur Rahman Shovon, Shanto Roy, Aron Laszka, Rajkumar Buyya, Alistair Barros |
| 80 |
[GO] |
2020―Sep―10 |
Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification |
Zhao Wang, Quande Liu, Qi Dou |
| 81 |
[GO] |
2020―Aug―26 |
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT |
Liang Sun, Zhanhao Mo, Fuhua Yan, Liming Xia, Fei Shan, Zhongxiang Ding, Bin Song, Wanchun Gao, Wei Shao, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, Ying Wei, Yaozong Gao, He Sui, Daoqiang Zhang, Dinggang Shen |
| 82 |
[GO] |
2020―Aug―20 |
Efficient and Effective Training of COVID-19 Classification Networks with Self-supervised Dual-track Learning to Rank |
Yuexiang Li, Wei Dong, Jiawei Chen, Shelei Cao, Hongyu Zhou, Yanchun Zhu, Jianrong Wu, Lan Lan, Wenbo Sun, Tianyi Qian, Kai Ma, Haibo Xu, Yefeng Zheng |
| 83 |
[GO] |
2020―Jul―28 |
Introducing the GEV Activation Function for Highly Unbalanced Data to Develop COVID-19 Diagnostic Models |
Joshua Bridge, Yanda Meng, Yitian Zhao, Yong Du, Mingfeng Zhao, Renrong Sun, Yalin Zheng |
| 84 |
[GO] |
2020―Jul―28 |
COVID-19 Optimizer Algorithm, Modeling and Controlling of Coronavirus Distribution Process |
Eghbal Hosseini, Kayhan Ghafoor, Ali Sadiq, Mohsen Guizani, Ali Emrouznejad |
| 85 |
[GO] |
2020―Jul―15 |
α-Satellite: An AI-driven System and Benchmark Datasets for Dynamic COVID-19 Risk Assessment in the United States |
Yanfang Ye, Shifu Hou, Yujie Fan, Yiming Zhang, Yiyue Qian, Shiyu Sun, Qian Peng, Mingxuan Ju, Wei Song, Kenneth Loparo |
| 86 |
[GO] |
2020―Jul―14 |
Dynamical evolution of COVID-19 in Italy with an evaluation of the size of the asymptomatic infective population |
Paolo Di Giamberardino, Daniela Iacoviello, Federico Papa, C. Sinisgalli |
| 87 |
[GO] |
2020―Jun―26 |
A Network-Based Stochastic Epidemic Simulator: Controlling COVID-19 with Region-Specific Policies |
Askat Kuzdeuov, Daulet Baimukashev, Aknur Karabay, Bauyrzhan Ibragimov, Almas Mirzakhmetov, Mukhamet Nurpeiissov, Michael Lewis, Huseyin Atakan Varol |
| 88 |
[GO] |
2020―Jun―09 |
Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach |
Hamed Jelodar, Yongli Wang, Rita Orji, Hucheng Huang |
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