Search Results for author: Anbang Xu

Found 6 papers, 0 papers with code

An Empirical Study of Factors Affecting Language-Independent Models

no code implementations30 Dec 2019 Xiaotong Liu, Yingbei Tong, Anbang Xu, Rama Akkiraju

Scaling existing applications and solutions to multiple human languages has traditionally proven to be difficult, mainly due to the language-dependent nature of preprocessing and feature engineering techniques employed in traditional approaches.

Feature Engineering General Classification +2

Characterizing machine learning process: A maturity framework

no code implementations12 Nov 2018 Rama Akkiraju, Vibha Sinha, Anbang Xu, Jalal Mahmud, Pritam Gundecha, Zhe Liu, Xiaotong Liu, John Schumacher

For example, existing machine learning processes cannot address how to define business use cases for an AI application, how to convert business requirements from offering managers into data requirements for data scientists, and how to continuously improve AI applications in term of accuracy and fairness, and how to customize general purpose machine learning models with industry, domain, and use case specific data to make them more accurate for specific situations etc.

BIG-bench Machine Learning Fairness +1

Challenge AI Mind: A Crowd System for Proactive AI Testing

no code implementations21 Oct 2018 Siwei Fu, Anbang Xu, Xiaotong Liu, Huimin Zhou, Rama Akkiraju

The evaluation shows that the crowd workflow is more effective with the help of machine learning techniques.

BIG-bench Machine Learning

25 Tweets to Know You: A New Model to Predict Personality with Social Media

no code implementations18 Apr 2017 Pierre-Hadrien Arnoux, Anbang Xu, Neil Boyette, Jalal Mahmud, Rama Akkiraju, Vibha Sinha

Predicting personality is essential for social applications supporting human-centered activities, yet prior modeling methods with users written text require too much input data to be realistically used in the context of social media.

Gaussian Processes regression

Fostering User Engagement: Rhetorical Devices for Applause Generation Learnt from TED Talks

no code implementations17 Mar 2017 Zhe Liu, Anbang Xu, Mengdi Zhang, Jalal Mahmud, Vibha Sinha

One problem that every presenter faces when delivering a public discourse is how to hold the listeners' attentions or to keep them involved.

regression

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