Performance analysis of Android underlying virtual machine in mobile phones. - Ehsan Azimzadeh; Mehrnoosh Sameki; Maziar Goudarzi (ICCE-Berlin, 2012)

Predicting Quality of Crowdsourced Image Segmentations from Crowd Behavior. - Mehrnoosh Sameki; Danna Gurari; Margrit Betke (HCOMP, 2015)

How to Collect Segmentations for Biomedical Images? A Benchmark Evaluating the Performance of Experts, Crowdsourced Non-experts, and Algorithms. - Danna Gurari; Diane H. Theriault; Mehrnoosh Sameki; Brett Isenberg; Tuan A. Pham 002; Alberto Purwada; Patricia Solski; Matthew L. Walker; Chentian Zhang; Joyce Y. Wong; Margrit Betke (WACV, 2015)

ICORD: Intelligent Collection of Redundant Data - A Dynamic System for Crowdsourcing Cell Segmentations Accurately and Efficiently. - Mehrnoosh Sameki; Danna Gurari; Margrit Betke (CVPR Workshops, 2016)

Investigating the Influence of Data Familiarity to Improve the Design of a Crowdsourcing Image Annotation System. - Danna Gurari; Mehrnoosh Sameki; Margrit Betke (HCOMP, 2016)

Dynamic Allocation of Crowd Contributions for Sentiment Analysis during the 2016 U.S. Presidential Election. - Mehrnoosh Sameki; Mattia Gentil; Kate K. Mays; Lei Guo 017; Margrit Betke (CoRR, 2016)

Crowd-O-Meter: Predicting if a Person Is Vulnerable to Believe Political Claims. - Mehrnoosh Sameki; Tianyi Zhang; Linli Ding; Margrit Betke; Danna Gurari (HCOMP, 2017)

Salient Object Subitizing. - Jianming Zhang 001; Shugao Ma; Mehrnoosh Sameki; Stan Sclaroff; Margrit Betke; Zhe Lin 001; Xiaohui Shen; Brian L. Price; Radomír Mech (Int. J. Comput. Vis., 2017)

Accurate and budget-efficient text, image, and video analysis systems powered by the crowd - Mehrnoosh Sameki (2017)

Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s). - Danna Gurari; Kun He 003; Bo Xiong; Jianming Zhang 001; Mehrnoosh Sameki; Suyog Dutt Jain; Stan Sclaroff; Margrit Betke; Kristen Grauman (Int. J. Comput. Vis., 2018)

Exploration of Assistive Technologies Used by People with Quadriplegia Caused by Degenerative Neurological Diseases. - Wenxin Feng 001; Mehrnoosh Sameki; Margrit Betke (Int. J. Hum. Comput. Interact., 2018)

BUOCA: Budget-Optimized Crowd Worker Allocation. - Mehrnoosh Sameki; Sha Lai; Kate K. Mays; Lei Guo 017; Prakash Ishwar; Margrit Betke (CoRR, 2019)

Explainable Deep Classification Models for Domain Generalization. - Andrea Zunino; Sarah Adel Bargal; Riccardo Volpi; Mehrnoosh Sameki; Jianming Zhang 001; Stan Sclaroff; Vittorio Murino; Kate Saenko (CVPR Workshops, 2021)

Measures and Best Practices for Responsible AI. - Sunipa Dev; Mehrnoosh Sameki; Jwala Dhamala; Cho-Jui Hsieh (KDD, 2021)

Model Monitoring in Practice: Lessons Learned and Open Challenges. - Krishnaram Kenthapadi; Himabindu Lakkaraju; Pradeep Natarajan; Mehrnoosh Sameki (KDD, 2022)

Tutorials at The Web Conference 2023. - Valeria Fionda; Olaf Hartig; Reyhaneh Abdolazimi; Sihem Amer-Yahia; Hongzhi Chen; Xiao Chen 016; Peng Cui 001; Jeffrey Dalton 001; Xin Luna Dong; Lisette Espín-Noboa; Wenqi Fan; Manuela Fritz; et al. (WWW (Companion Volume), 2023)

Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey). - Krishnaram Kenthapadi; Mehrnoosh Sameki; Ankur Taly (KDD, 2024)