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Pang-Ning Tan

Showing results (1-10 of 16) with videos related to

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Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|October 31, 2022
Unsupervised Anomaly Detection by Robust Density EstimationBoyang Liu, Pang-Ning Tan, Jiayu Zhou
2022 IEEE International Conference on Digital Health (IEEE ICDH 2022) : Proceedings : Hybrid Conference, Barcelona, Spain, 11-15 July 2022. International Conference on Digital Health (2022 : Barcelona, Spain; Online)|November 17, 2023
Using Deep Learning to Identify Linguistic Features that Facilitate or Inhibit the Propagation of Anti- and Pro-Vaccine Content on Social MediaYoung Anna Argyris, Nan Zhang, Bidhan Bashyal, et al.
Social Science & Medicine (1982)|April 5, 2024
Vaccine rhetoric on social media and COVID-19 vaccine uptake rates: A triangulation using self-reported vaccine acceptanceVictoria Nelson, Bidhan Bashyal, Pang-Ning Tan, et al.
Proceedings of Machine Learning Research|May 3, 2022
Learning Deep Neural Networks under Agnostic Corrupted SupervisionBoyang Liu, Mengying Sun, Ding Wang, et al.
IJCAI : Proceedings of the Conference|April 28, 2022
RCA: A Deep Collaborative Autoencoder Approach for Anomaly DetectionBoyang Liu, Ding Wang, Kaixiang Lin, et al.
Frontiers in Big Data|November 11, 2021
Automated Analysis of the US Drought Monitor Maps With Machine Learning and Multiple Drought IndicatorsPouyan Hatami Bahman Beiglou, Lifeng Luo, Pang-Ning Tan, et al.
Health Communication|August 19, 2020
Trick or Drink: Offline and Social Media Hierarchical Normative Influences on Halloween Celebration DrinkingSaleem Alhabash, Duygu Kanver, Chen Lou, et al.
Health Communication|June 5, 2019
Celebration Drinking around the ClockSandi W Smith, Saleem Alhabash, Duygu Kanver, et al.
Computers in Human Behavior|April 15, 2020
Diffusion size and structural virality: The effects of message and network features on spreading health information on twitterJingbo Meng, Wei Peng, Pang-Ning Tan, et al.
JMIR Public Health and Surveillance|June 29, 2021
Using Machine Learning to Compare Provaccine and Antivaccine Discourse Among the Public on Social Media: Algorithm Development StudyYoung Anna Argyris, Kafui Monu, Pang-Ning Tan, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|October 31, 2022
Unsupervised Anomaly Detection by Robust Density EstimationBoyang Liu, Pang-Ning Tan, Jiayu Zhou
2022 IEEE International Conference on Digital Health (IEEE ICDH 2022) : Proceedings : Hybrid Conference, Barcelona, Spain, 11-15 July 2022. International Conference on Digital Health (2022 : Barcelona, Spain; Online)|November 17, 2023
Using Deep Learning to Identify Linguistic Features that Facilitate or Inhibit the Propagation of Anti- and Pro-Vaccine Content on Social MediaYoung Anna Argyris, Nan Zhang, Bidhan Bashyal, et al.
Social Science & Medicine (1982)|April 5, 2024
Vaccine rhetoric on social media and COVID-19 vaccine uptake rates: A triangulation using self-reported vaccine acceptanceVictoria Nelson, Bidhan Bashyal, Pang-Ning Tan, et al.
Proceedings of Machine Learning Research|May 3, 2022
Learning Deep Neural Networks under Agnostic Corrupted SupervisionBoyang Liu, Mengying Sun, Ding Wang, et al.
IJCAI : Proceedings of the Conference|April 28, 2022
RCA: A Deep Collaborative Autoencoder Approach for Anomaly DetectionBoyang Liu, Ding Wang, Kaixiang Lin, et al.
Frontiers in Big Data|November 11, 2021
Automated Analysis of the US Drought Monitor Maps With Machine Learning and Multiple Drought IndicatorsPouyan Hatami Bahman Beiglou, Lifeng Luo, Pang-Ning Tan, et al.
Health Communication|August 19, 2020
Trick or Drink: Offline and Social Media Hierarchical Normative Influences on Halloween Celebration DrinkingSaleem Alhabash, Duygu Kanver, Chen Lou, et al.
Health Communication|June 5, 2019
Celebration Drinking around the ClockSandi W Smith, Saleem Alhabash, Duygu Kanver, et al.
Computers in Human Behavior|April 15, 2020
Diffusion size and structural virality: The effects of message and network features on spreading health information on twitterJingbo Meng, Wei Peng, Pang-Ning Tan, et al.
JMIR Public Health and Surveillance|June 29, 2021
Using Machine Learning to Compare Provaccine and Antivaccine Discourse Among the Public on Social Media: Algorithm Development StudyYoung Anna Argyris, Kafui Monu, Pang-Ning Tan, et al.
Pageof 2