PUBLICATIONS
Conference Papers
Predicting Data Scientist Stuckness During the Development of Machine Learning Classifiers
Moshe Mash, Shoshana Oryol, Stephanie Rosenthal, and Reid Simmons.
VL/HCC (the IEEE Symposium on Visual Languages and Human-Centric Computing) 2022.
DSWorkFlow: A Framework for Capturing Data Scientists’ Workflows
Moshe Mash, Stephanie Rosenthal, and Reid Simmons.
CHI Conference on Human Factors in Computing Systems 2021
How to Form Winning Coalitions in Mixed Human-Computer Settings
Moshe Mash, Yair Zick, Yoram Bachrach, and Kobi Gal.
The 26th International Joint Conference on Artificial Intelligence (IJCAI), 2017.
Which Is the Fairest (Rent Division) of Them All?
Ya'akov (Kobi) Gal, Moshe Mash, Ariel D. Procaccia and Yair Zick. The 17th ACM Conference on Economics and Computation (EC), 2016. Best paper award.
Peer-designed agents for reliably evaluating the distribution of outcomes in
environments involving people
Moshe Mash, Raz Lin, and David Sarne. The 13th ACM conference on Autonomous agents and multi-agent systems (AAMAS), 2014.
Join me with the weakest partner, Please
Moshe Mash, Igor Rochlin and David Sarne. The 12th IEEE/WIC/ACM conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2012.
Journal Articles
Human-Computer Coalition Formation in Weighted Voting Games
Moshe Mash, Roy Fairstein, Yair Zick, Yoram Bachrach and Kobi Gal.
ACM Transactions on Intelligent Systems and Technology (TIST), 2020.
Which Is the Fairest (Rent Division) of Them All?
Ya'akov (Kobi) Gal, Moshe Mash, Ariel D. Procaccia and Yair Zick. Journal of the ACM (JACM), 2017.
Joint search with self-interested agents and the failure of cooperation enhancers
Igor Rochlin, David Sarne and Moshe Mash.