Browse publications by year:

2019 2018 2017 2016 2015
πŸŽ’ = workshop | πŸ“• = conference | πŸ’Ό = journal | πŸ“œ = poster

2019

Nina Cesare, Quynh Nguyen, Christan Grant, Elaine Nsoesie. Social Media Captures Demographic and Regional Physical Inactivity. In the British Medical Journal Open Sport and Exercise Medicine Journal (BMJ). 2019. πŸ’Ό

Jasmine DeHart, Lisa Egede, Christan Grant. Exploring Biases in Vision Privacy Protection Techniques. The IEEE Symposium on Security and Privacy (S&P). San Francisco, California. 2019. πŸ“œ

Nina Cesare, Christan Grant, Elaine Nsoesie. Understanding Bias and Representation in Social Media Health Data. In the Proceedings of the 11th ACM Conference on Web Science (WebSci), Handeling Web Bias workshop. Boston, MA. 2019. [pdf] πŸŽ’

Oluwashina Madamori, Esther Max-Onakpoya, Christan Grant and Corey Baker. Using Delay Tolerant Networks as a Backbone for Low-cost Smart Cities. In the 5th IEEE International Conference on Smart Computing (SMARTCOMP). Washington, DC. 2019. [code] [pdf] πŸ“•

Nina Cesare, Quynh Nguyen, Christan Grant, Elaine Nsoesie. Social Media Representation and Illness Detection on Social Media: Foodborne Illness as a Case Study. The Annual Meeting Population Association of America (PAA). Austin, Texas. 2019. πŸ“•

Nina Cesare, Christan Grant, Elaine Nsoesie. Representation and Bias in Self-reported Physical Activity Across Social Media Platforms. The Annual Meeting Population Association of America (PAA). Austin, Texas. 2019. πŸ“•


2018

Sarah M. Brown, Chenguag Xu, Christan Grant. Critical Data Exploration with Simpson's Paradox. The 2nd Black in AI Workshop colocated with the Conference on Neural Information Processing Systems (NeurIPS, NIPS). Montreal, Canada. 2018. [poster] πŸ“œ

Sarah M. Brown, Chenguag Xu, Christan Grant. Critical Data Exploration with Simpson's Paradox. The 13th annual Women in Machine Learning Workshop colocated with the Conference on Neural Information Processing Systems (NeurIPS, NIPS). Montreal, Canada. 2018. [poster] πŸ“œ

Keerti Banweer, Austin Graham, Nina Cesare, Elaine O. Nsoesie, Joseph T. Ripberger, Christan Grant. Multi-stage Collaborative filtering for Tweet Geolocation. The 2nd ACM SIGSPATIAL Workshop on Recommendations for Location-based Services and Social Networks (LocalRec). Seattle, Washington, USA. 2018. [pdf] πŸŽ’

Ashwin Krishna Gunasekaran, Maryan Bahojb Imani, Latifur Khan, Christan Grant, Patrick T. Brant, Jennifer Holmes. SPERG: Scalable Political Event Report Geoparsing in Big Data. IEEE Intelligence and Security Informatics (ISI). Miami, Florida. 2018. [pdf] [slides] πŸ“•

Yan Liang, Christan Grant, Andrew Halterman, Jill Irvine, Khaled Jabr. New Techniques for Coding Political Events Across Languages. IEEE 18th International Conference on Information Reuse and Integration (IRI). Salt Lake City, UT. 2018. [pdf][slides] πŸ“•

Jasmine DeHart, Christan Grant. Visual Content Privacy Leaks on Social Media Networks. The IEEE Symposium on Security and Privacy (S&P). San Francisco, California. 2018. [pdf] πŸ“œ

Chenguang Xu, Sarah M. Brown, Christan Grant. Detecting Simpsons Paradox. The 31st International Florida Artificial Intelligence Research Society (FLAIRS) Conference. Melbourne, Florida. 2018. [pdf] [poster]πŸ“•πŸ“œ

Nina Cesare, Christan Grant, Elaine Nsoesie. Estimating Obesity Prevalence By Age and Gender Using Social Media Data. The Annual Meeting for the Population Association of America (PAA). Denver, CO. 2018. πŸ“•

Chenguang Xu, Sarah M. Brown, Christan Grant, Chris Weaver. Interactive Visual Analytics for Simpson’s Paradox Detection. The 3rd Workshop on Human-In-the-Loop Data Analytics (HILDA). Houston, Texas. 2018. [slides] [poster] [keynote]πŸ“•πŸ“œ

Andrew Halterman, Christan Grant, Jill A. Irvine, Khaled Jabr, Yan Liang, Manar Landis. Creating an Automated Event Data System for Arabic Text. Annual Meeting of the International Studies Association (ISA). San Francisco, CA. 2018. [pdf] [slides]πŸ“•


2017

Austin Graham, Yan Liang, Le Gruenwald, Christan Grant. Formalizing Interruptible Algorithms for Human over-the-loop Analytics. The IEEE International Workshop on Human-Machine Collaboration in BigData (HMData 2017). Boston, Massachusetts. 2017. [pdf] [slides] πŸŽ’

Yan Liang, Andy Halterman, Phanindra Jalla, Solaimani Mohiuddin, Manar Landis, Jill Irvine, Christan Grant. Adaptive Scalable Pipelines for Political Event Data Generation. The IEEE International Workshop on Benchmarking, Performance Tuning and Optimization for Big Data Applications (BPOD 2017). Boston, Massachusetts. 2017. [pdf] [slides] πŸŽ’

Elena Montes, Christan Grant. DeepGuidance: Using Neural Networks to Suggest Areas of Study. The 12th Annual Women in Machine Learning Workshop collocated with the Conference on Neural Information Processing Systems (NIPS). Long Beach, California. 2017. [pdf] [poster] πŸ“œ

Nina Cesare, Christan Grant, Jared Hawkins, John S. Brownstein, Elaine O. Nsoesie. Demographics in Social Media Data for Public Health Research: Does it matter?. Bloomberg Data for Good Exchange. New York, NY, USA. 2017. [pdf] [slides] πŸ“•

Stephen Smart, Christan Grant. Towards Managing Complex Data Sharing Policies with the Min Mask Sketch. IEEE 17th International Conference on Information Reuse and Integration. San Diego, CA, USA. 2017. [pdf] [code] [slides] [pptx] πŸ“•

Stephen Smart, Christan Grant. Storing complex data sharing policies with the Min Mask Sketch. Arxiv. 2017. [pdf]

Nina Cesare, Christan Grant, Elaine O. Nsoesie. Detection of User Demographics on Social Media: A Review of Methods and Recommendations for Best Practices. Arxiv. 2017. [pdf]

Sean Goldberg, Daisy Zhe Wang, Christan Grant. A Probabilistically Integrated System for Crowd-Assisted Text Labeling and Extraction. Journal of Data and Information Quality. Volume 8, Issue 2, Article 10 (February 2017), 23 pages. 2017. [pdf] πŸ’Ό

Jared Bond, Christan Grant, Joshua Imbriani, Erik Holbrook. A Framework for Interactive t-SNE Clustering . International Journal of Software and Informatics (IJSI) special issue on Visual Analytics. 2016, 10 (3). [pdf] πŸ’Ό

2016

Kun Li, Xiaofeng Zhou, Daisy Zhe Wang, Christan Grant, Alin Dobra, Christopher Dudley. In-Database Batch and Query-time Inference over Probabilistic Graphical Models using UDA-GIST. The VLDB Journal. 2016. [pdf] πŸ’Ό

Jared Bond, Christan Grant, Joshua Imbriani, Erik Holbrook. A Framework for Interactive t-SNE Clustering. 2nd International Workshop on DAta mining meets Visual Analytics at big data era In Conjunction with CIKM 2016 (DAVA). 2016. [pdf] πŸŽ’

Erik Holbrook, Christan Grant, Gupreet Kaur, Jared Bond, Josh Imbriani, Elaine Nsoesie. Tweet Geolocation Error Estimation. Ninth International Conference on Geographic Information Science. Montreal, Canada. 2016. [pdf] [poster] πŸ“•

Christan Grant, Daisy Zhe Wang, Michael Wick. Query-driven Sampling for Collective Entity Resolution. IEEE 17th International Conference on Information Reuse and Integration. Pittsburgh, PA, USA. 2016. [pdf] [slides] πŸ“•

2015

Christan Grant, Daisy Zhe Wang. A Challenge for Long-term Knowledge Base Maintenance. Journal of Data and Information Quality. 2015. [pdf] πŸ’Ό

Christan Grant, Daisy Zhe Wang. Optimizing Sampling-based Entity Resolution over Streaming Documents. The SIAM International Conference on Data Mining Workshop: Big Data and Stream Analytics. Vancouver, British Columbia, Canada. 2015. [pdf] [slides] [poster] πŸŽ’

Christan Grant, Clint Pazhayidam George, Virupaksha Kanjilal, Supriya Nirkhiwale, Daisy Zhe Wang, Joseph N Wilson. A Topic-Based Search, Visualization and Exploration System. The 28th International Florida Artificial Intelligence Research Society (FLAIRS) Conference. Hollywood, Florida. 2015. [pdf] πŸ“•