Editorial on Machine Learning, AI and Big Data Methods and Findings for COVID-19
Author
Abstract
Suggested Citation
DOI: 10.1007/s10796-021-10216-7
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Francesco Piccialli & Vincenzo Schiano Cola & Fabio Giampaolo & Salvatore Cuomo, 2021. "The Role of Artificial Intelligence in Fighting the COVID-19 Pandemic," Information Systems Frontiers, Springer, vol. 23(6), pages 1467-1497, December.
- Harleen Kaur & Shafqat Ul Ahsaan & Bhavya Alankar & Victor Chang, 2021. "A Proposed Sentiment Analysis Deep Learning Algorithm for Analyzing COVID-19 Tweets," Information Systems Frontiers, Springer, vol. 23(6), pages 1417-1429, December.
- Prabh Deep Singh & Rajbir Kaur & Kiran Deep Singh & Gaurav Dhiman, 2021. "A Novel Ensemble-based Classifier for Detecting the COVID-19 Disease for Infected Patients," Information Systems Frontiers, Springer, vol. 23(6), pages 1385-1401, December.
- Longling Zhang & Bochen Shen & Ahmed Barnawi & Shan Xi & Neeraj Kumar & Yi Wu, 2021. "FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia," Information Systems Frontiers, Springer, vol. 23(6), pages 1403-1415, December.
- Sabrina Sicari & Cinzia Cappiello & Francesco Pellegrini & Daniele Miorandi & Alberto Coen-Porisini, 2016. "A security-and quality-aware system architecture for Internet of Things," Information Systems Frontiers, Springer, vol. 18(4), pages 665-677, August.
- Ashish Gupta & Amit Deokar & Lakshmi Iyer & Ramesh Sharda & Dave Schrader, 2018. "Big Data & Analytics for Societal Impact: Recent Research and Trends," Information Systems Frontiers, Springer, vol. 20(2), pages 185-194, April.
- R. Elakkiya & Pandi Vijayakumar & Marimuthu Karuppiah, 2021. "COVID_SCREENET: COVID-19 Screening in Chest Radiography Images Using Deep Transfer Stacking," Information Systems Frontiers, Springer, vol. 23(6), pages 1369-1383, December.
- Jyoti Choudrie & Shruti Patil & Ketan Kotecha & Nikhil Matta & Ilias Pappas, 2021. "Applying and Understanding an Advanced, Novel Deep Learning Approach: A Covid 19, Text Based, Emotions Analysis Study," Information Systems Frontiers, Springer, vol. 23(6), pages 1431-1465, December.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- R. Rajesh, 2025. "A Grey Combined Prediction Model for Medical Treatment Risk Analysis during Pandemics," Information Systems Frontiers, Springer, vol. 27(1), pages 171-195, February.
- Manu Sharma & Sudhanshu Joshi & Sunil Luthra & Anil Kumar, 2024. "Impact of Digital Assistant Attributes on Millennials’ Purchasing Intentions: A Multi-Group Analysis using PLS-SEM, Artificial Neural Network and fsQCA," Information Systems Frontiers, Springer, vol. 26(3), pages 943-966, June.
- Ortiz-Barrios, Miguel & Arias-Fonseca, Sebastián & Ishizaka, Alessio & Barbati, Maria & Avendaño-Collante, Betty & Navarro-Jiménez, Eduardo, 2023. "Artificial intelligence and discrete-event simulation for capacity management of intensive care units during the Covid-19 pandemic: A case study," Journal of Business Research, Elsevier, vol. 160(C).
- Qinghua Zheng & Chutong Yang & Haijun Yang & Jianhe Zhou, 2020. "A Fast Exact Algorithm for Deployment of Sensor Nodes for Internet of Things," Information Systems Frontiers, Springer, vol. 22(4), pages 829-842, August.
- Leonardo Banh & Gero Strobel, 2023. "Generative artificial intelligence," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-17, December.
- Davenport-Klunder, Katelyn & Hine, Kelly & McKillop, Nadine, 2024. "Anger, fear, and frozenness: Exploring the emotive aspect of anti-police sentiment," Journal of Criminal Justice, Elsevier, vol. 94(C).
- Xuanning Song & Bo Wang & Pei-Chun Lin & Guangyu Ge & Ran Yuan & Junzo Watada, 2024. "Scenario-Based Distributionally Robust Unit Commitment Optimization Involving Cooperative Interaction with Robots," Information Systems Frontiers, Springer, vol. 26(1), pages 9-23, February.
- Roman Lukyanenko & Andrea Wiggins & Holly K. Rosser, 0. "Citizen Science: An Information Quality Research Frontier," Information Systems Frontiers, Springer, vol. 0, pages 1-23.
- Christian Kauten & Ashish Gupta & Xiao Qin & Glenn Richey, 2022. "Predicting Blood Donors Using Machine Learning Techniques," Information Systems Frontiers, Springer, vol. 24(5), pages 1547-1562, October.
- Muhammad Tayyab Zamir & Fida Ullah & Rasikh Tariq & Waqas Haider Bangyal & Muhammad Arif & Alexander Gelbukh, 2024. "Machine and deep learning algorithms for sentiment analysis during COVID-19: A vision to create fake news resistant society," PLOS ONE, Public Library of Science, vol. 19(12), pages 1-26, December.
- Eunji Lee & Jin-young Kim & Junchul Kim & Chulmo Koo, 2023. "Information Privacy Behaviors during the COVID-19 Pandemic: Focusing on the Restaurant Context," Information Systems Frontiers, Springer, vol. 25(5), pages 1829-1845, October.
- Carlos Henríquez Miranda & German Sanchez-Torres & Dixon Salcedo, 2023. "Exploring the Evolution of Sentiment in Spanish Pandemic Tweets: A Data Analysis Based on a Fine-Tuned BERT Architecture," Data, MDPI, vol. 8(6), pages 1-18, May.
- Kiljae Lee & Kyung Young Lee & Lorn Sheehan, 2020. "Hey Alexa! A Magic Spell of Social Glue?: Sharing a Smart Voice Assistant Speaker and Its Impact on Users’ Perception of Group Harmony," Information Systems Frontiers, Springer, vol. 22(3), pages 563-583, June.
- Rajat Kumar Behera & Pradip Kumar Bala & Nripendra P. Rana & Hatice Kizgin, 2022. "A Techno-Business Platform to Improve Customer Experience Following the Brand Crisis Recovery: A B2B Perspective," Information Systems Frontiers, Springer, vol. 24(6), pages 2027-2051, December.
- Padmali Rodrigo & Emmanuel Ogiemwonyi Arakpogun & Mai Chi Vu & Femi Olan & Elmira Djafarova, 2024. "Can you be Mindful? The Effectiveness of Mindfulness-Driven Interventions in Enhancing the Digital Resilience to Fake News on COVID-19," Information Systems Frontiers, Springer, vol. 26(2), pages 501-521, April.
- Matti Mäntymäki & Sami Hyrynsalmi & Antti Koskenvoima, 2020. "How Do Small and Medium-Sized Game Companies Use Analytics? An Attention-Based View of Game Analytics," Information Systems Frontiers, Springer, vol. 22(5), pages 1163-1178, October.
- Luvai Motiwalla & Amit V. Deokar & Surendra Sarnikar & Angelika Dimoka, 2019. "Leveraging Data Analytics for Behavioral Research," Information Systems Frontiers, Springer, vol. 21(4), pages 735-742, August.
- Nick Drydakis, 2022.
"Artificial Intelligence and Reduced SMEs’ Business Risks. A Dynamic Capabilities Analysis During the COVID-19 Pandemic,"
Information Systems Frontiers, Springer, vol. 24(4), pages 1223-1247, August.
- Drydakis, Nick, 2022. "Artificial Intelligence and Reduced SMEs' Business Risks. A Dynamic Capabilities Analysis During the COVID-19 Pandemic," GLO Discussion Paper Series 1045, Global Labor Organization (GLO).
- Drydakis, Nick, 2022. "Artificial Intelligence and Reduced SMEs' Business Risks. A Dynamic Capabilities Analysis during the COVID-19 Pandemic," IZA Discussion Papers 15065, Institute of Labor Economics (IZA).
- Olivera Marjanovic & Greg Patmore & Nikola Balnave, 2023. "Visual Analytics: Transferring, Translating and Transforming Knowledge from Analytics Experts to Non-technical Domain Experts in Multidisciplinary Teams," Information Systems Frontiers, Springer, vol. 25(4), pages 1571-1588, August.
- Matti Mäntymäki & Sami Hyrynsalmi & Antti Koskenvoima, 0. "How Do Small and Medium-Sized Game Companies Use Analytics? An Attention-Based View of Game Analytics," Information Systems Frontiers, Springer, vol. 0, pages 1-16.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:infosf:v:23:y:2021:i:6:d:10.1007_s10796-021-10216-7. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.