Mehrnoosh Sameki

According to our database, Mehrnoosh Sameki authored at least 16 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Tutorials at The Web Conference 2023.

Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

2022

Model Monitoring in Practice: Lessons Learned and Open Challenges.

Krishnaram Kenthapadi, Himabindu Lakkaraju, Pradeep Natarajan, Mehrnoosh Sameki

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Measures and Best Practices for Responsible AI.

Sunipa Dev, Mehrnoosh Sameki, Jwala Dhamala, Cho-Jui Hsieh

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Explainable Deep Classification Models for Domain Generalization.

Andrea Zunino, Sarah Adel Bargal, Riccardo Volpi, Mehrnoosh Sameki, Jianming Zhang, Stan Sclaroff, Vittorio Murino, Kate Saenko

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2019

BUOCA: Budget-Optimized Crowd Worker Allocation.

Mehrnoosh Sameki, Sha Lai, Kate K. Mays, Lei Guo, Prakash Ishwar, Margrit Betke

CoRR, 2019

2018

Exploration of Assistive Technologies Used by People with Quadriplegia Caused by Degenerative Neurological Diseases.

Wenxin Feng, Mehrnoosh Sameki, Margrit Betke

Int. J. Hum. Comput. Interact., 2018

Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s).

Danna Gurari, Kun He, Bo Xiong, Jianming Zhang, Mehrnoosh Sameki, Suyog Dutt Jain, Stan Sclaroff, Margrit Betke, Kristen Grauman

Int. J. Comput. Vis., 2018

2017

Accurate and budget-efficient text, image, and video analysis systems powered by the crowd

Mehrnoosh Sameki

PhD thesis, 2017

Salient Object Subitizing.

Jianming Zhang, Shugao Ma, Mehrnoosh Sameki, Stan Sclaroff, Margrit Betke, Zhe Lin, Xiaohui Shen, Brian L. Price, Radomír Mech

Int. J. Comput. Vis., 2017

Crowd-O-Meter: Predicting if a Person Is Vulnerable to Believe Political Claims.

Mehrnoosh Sameki, Tianyi Zhang, Linli Ding, Margrit Betke, Danna Gurari

Proceedings of the Fifth AAAI Conference on Human Computation and Crowdsourcing, 2017

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, Margrit Betke

CoRR, 2016

Investigating the Influence of Data Familiarity to Improve the Design of a Crowdsourcing Image Annotation System.

Danna Gurari, Mehrnoosh Sameki, Margrit Betke

Proceedings of the Fourth AAAI Conference on Human Computation and Crowdsourcing, 2016

ICORD: Intelligent Collection of Redundant Data - A Dynamic System for Crowdsourcing Cell Segmentations Accurately and Efficiently.

Mehrnoosh Sameki, Danna Gurari, Margrit Betke

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

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, Alberto Purwada, Patricia Solski, Matthew L. Walker, Chentian Zhang, Joyce Y. Wong, Margrit Betke

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Predicting Quality of Crowdsourced Image Segmentations from Crowd Behavior.

Mehrnoosh Sameki, Danna Gurari, Margrit Betke

Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing, 2015

2012

Performance analysis of Android underlying virtual machine in mobile phones.

Ehsan Azimzadeh, Mehrnoosh Sameki, Maziar Goudarzi

Proceedings of the IEEE Second International Conference on Consumer Electronics - Berlin, 2012