Publications

Alyssa Smith*, David Assefa Tofu*, Mona Jalal*, Edward Edberg Halim, Yimeng Sun, Vidya Akavoor, Margrit Betke, Prakash Ishwar, Lei Guo, and Derry Wijaya, OpenFraming: We brought the ML; you bring the data. Interact with your data and discover its frames, Submitted to Innovative Applications of Artificial Intelligence (IAAI 2021). arXix: https://arxiv.org/pdf/2008.06974.pdf
You can try our openframing.org Website
You can also watch video of our demo.
Link to GitHub: https://github.com/davidatbu/openFraming
* denotes equal contribution.
Elham Saraee, Mona Jalal, Margrit Betke,Visual Complexity Analysis using Deep Intermediate-Layer Features, Accepted at the Computer Vision and Image Understanding Journal 2020, Science Direct Link.
Mona Jalal, Kaihong Wang, Jefferson Sankara, Yi Zheng, Elaine. O. Nsoesie, and Margrit Betke Kenyan Food Type Recognition in Instagram Photos Submitted as a one-page extended abstract to New England Computer Vision Workshop 2019.
Lei Guo, Kate K. Mays, Sha Lai, Mona Jalal, Prakash Ishwar, Margrit Betke Accurate, fast, but not always cheap: Evaluating “crowdcoding” as an alternative approach to analyze social media data Published in Journalism & Mass Communication Quarterly, 2019 (link to Journal paper).
Mona Jalal*, Kaihong Wang*, Jefferson Sankara, Yi Zheng, Elaine O. Nsoesie, and Margrit Betke, Scraping Social Media Photos Posted in Kenya and Elsewhere to Detect and Analyze Food Types To be published in MADiMA 2019, the 5th International Workshop on Multimedia Assisted Dietary Management. In conjunction with the 27th ACM International Conference on Multimedia (ACMMMM 2019) Nice, France, October 21, 2019. 10 pages. ArXiv paper.
* denotes equal contribution.
Mona Jalal, Josef Spjut, Ben Boudaoud, and Margrit Betke. SIDOD: A synthetic image dataset for 3D object pose recognition with distractors. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, June 2019. 3 pages. Link to extended report on NVIDIA Research Website.
Elham Saraee, Mona Jalal, and Margrit Betke. SAVOIAS: A Diverse, Multi-Category Visual Complexity Dataset, 10 pages. arXiv preprint, September 2018.
GitHub link: https://github.com/esaraee/Savoias-Dataset
Mona Jalal, Kate K. Mays, Lei Guo, Margrit Betke, Performance Comparison of Crowdworkers and NLP Tools on Named-Entity Recognition and Sentiment Analysis of Political Tweets, Accepted as a paper to WiNLP workshop of NAACL-HLT 2018, June 1st-6th, 2018.
Won Hwa Kim, Mona Jalal, Seong Jae Hwang, Sterling C. Johnson, Vikas Singh, Online Graph Completion: Multivariate Signal Recovery in Computer Vision, CVPR17.

Arun Kumar, Mona Jalal, Boqun Yan, Jeffrey F. Naughton, Jignesh M. Patel, Demonstration of Santoku: Optimizing Machine Learning over Normalized Data. PVLDB 8(12): 1864-1875, 2015.

Mona Jalal, Zahra Shirmohammadi, Ahmad Patooghy, Seyed-Ghassem Miremadi, Evaluation of Application Mapping for Network-on- Chips, Accepted in Real-time and Embedded Systems (RTES'10), 2010.

Zahra Shirmohammadi, Mona Jalal, Ahmad Patooghy, Seyed-Ghassem Miremadi, A Recon gurable Switch Architecture to Enhance Reliability of Network-on-Chips, Accepted in Real-time and Embedded Systems (RTES'10), 2010.