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Publication search results
found 21 matches
- 2019
- Serge Abiteboul, Julia Stoyanovich:
Transparency, Fairness, Data Protection, Neutrality: Data Management Challenges in the Face of New Regulation. ACM J. Data Inf. Qual. 11(3): 15:1-15:9 (2019) - Zahaib Akhtar, Anh Minh Le, Yun Seong Nam, Jessica Chen, Ramesh Govindan, Ethan Katz-Bassett, Sanjay G. Rao, Jibin Zhan:
Improving Adaptive Video Streaming through Session Classification. ACM J. Data Inf. Qual. 11(4): 21:1-21:29 (2019) - Pepa Atanasova, Preslav Nakov, Lluís Màrquez, Alberto Barrón-Cedeño, Georgi Karadzhov, Tsvetomila Mihaylova, Mitra Mohtarami, James R. Glass:
Automatic Fact-Checking Using Context and Discourse Information. ACM J. Data Inf. Qual. 11(3): 12:1-12:27 (2019) - Matthew Babcock, David M. Beskow, Kathleen M. Carley:
Different Faces of False: The Spread and Curtailment of False Information in the Black Panther Twitter Discussion. ACM J. Data Inf. Qual. 11(4): 18:1-18:15 (2019) - Elisa Bertino, Ashish Kundu, Zehra Sura:
Data Transparency with Blockchain and AI Ethics. ACM J. Data Inf. Qual. 11(4): 16:1-16:8 (2019) - Luís Borges, Bruno Martins, Pável Calado:
Combining Similarity Features and Deep Representation Learning for Stance Detection in the Context of Checking Fake News. ACM J. Data Inf. Qual. 11(3): 14:1-14:26 (2019) - Michael Franklin Bosu, Stephen G. MacDonell:
Experience: Quality Benchmarking of Datasets Used in Software Effort Estimation. ACM J. Data Inf. Qual. 11(4): 19:1-19:38 (2019) - K. Michael Casey, Kevin Casey Jr.:
Financial Regulatory and Risk Management Challenges Stemming from Firm-Specific Digital Misinformation. ACM J. Data Inf. Qual. 11(1): 4:1-4:4 (2019) - Michele Dallachiesa, Charu C. Aggarwal, Themis Palpanas:
Improving Classification Quality in Uncertain Graphs. ACM J. Data Inf. Qual. 11(1): 3:1-3:20 (2019) - Junhua Ding, XinChuan Li, Xiaojun Kang, Venkat N. Gudivada:
A Case Study of the Augmentation and Evaluation of Training Data for Deep Learning. ACM J. Data Inf. Qual. 11(4): 20:1-20:22 (2019) - Wenfei Fan:
Dependencies for Graphs: Challenges and Opportunities. ACM J. Data Inf. Qual. 11(2): 5:1-5:12 (2019) - Amir Ebrahimi Fard, Scott W. Cunningham:
Assessing the Readiness of Academia in the Topic of False and Unverified Information. ACM J. Data Inf. Qual. 11(4): 17:1-17:27 (2019) - Naeemul Hassan, Chengkai Li, Jun Yang, Cong Yu:
Introduction to the Special Issue on Combating Digital Misinformation and Disinformation. ACM J. Data Inf. Qual. 11(3): 9:1-9:3 (2019) - Alina Lazar, Ling Jin, C. Anna Spurlock, Kesheng Wu, Alex Sim, Annika Todd:
Evaluating the Effects of Missing Values and Mixed Data Types on Social Sequence Clustering Using t-SNE Visualization. ACM J. Data Inf. Qual. 11(2): 7:1-7:22 (2019) - Peng Lin, Qi Song, Yinghui Wu, Jiaxing Pi:
Discovering Patterns for Fact Checking in Knowledge Graphs. ACM J. Data Inf. Qual. 11(3): 13:1-13:27 (2019) - Daniel Müller, Pratiksha Jain, Yieh-Funk Te:
Augmenting Data Quality through High-Precision Gender Categorization. ACM J. Data Inf. Qual. 11(2): 8:1-8:18 (2019) - Julio César Cortés Ríos, Norman W. Paton, Alvaro A. A. Fernandes, Edward Abel, John A. Keane:
Crowdsourced Targeted Feedback Collection for Multicriteria Data Source Selection. ACM J. Data Inf. Qual. 11(1): 2:1-2:27 (2019) - Christian Sillaber, Andrea Mussmann, Ruth Breu:
Experience: Data and Information Quality Challenges in Governance, Risk, and Compliance Management. ACM J. Data Inf. Qual. 11(2): 6:1-6:14 (2019) - Divesh Srivastava, Monica Scannapieco, Thomas C. Redman:
Ensuring High-Quality Private Data for Responsible Data Science: Vision and Challenges. ACM J. Data Inf. Qual. 11(1): 1:1-1:9 (2019) - Hao Xue, Qiaozhi Wang, Bo Luo, Hyunjin Seo, Fengjun Li:
Content-Aware Trust Propagation Toward Online Review Spam Detection. ACM J. Data Inf. Qual. 11(3): 11:1-11:31 (2019) - Savvas Zannettou, Michael Sirivianos, Jeremy Blackburn, Nicolas Kourtellis:
The Web of False Information: Rumors, Fake News, Hoaxes, Clickbait, and Various Other Shenanigans. ACM J. Data Inf. Qual. 11(3): 10:1-10:37 (2019)
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