Which is the fairest (rent division) of them all? Y Gal, M Mash, AD Procaccia, Y Zick Journal of the ACM (JACM) 64 (6), 1-22, 2017 | 92 | 2017 |
Joint search with self-interested agents and the failure of cooperation enhancers I Rochlin, D Sarne, M Mash Artificial Intelligence 214, 45-65, 2014 | 20 | 2014 |
How to form winning coalitions in mixed human-computer settings M Mash, Y Bachrach, Y Zick Proceedings of the 26th international joint conference on artificial
, 2017 | 18 | 2017 |
Peer-design agents for reliably evaluating distribution of outcomes in environments involving people M Mash, R Lin, D Sarne Proceedings of the 2014 international conference on autonomous agents and
, 2014 | 8 | 2014 |
Human-computer coalition formation in weighted voting games M Mash, R Fairstein, Y Bachrach, K Gal, Y Zick ACM Transactions on Intelligent Systems and Technology (TIST) 11 (6), 1-20, 2020 | 4 | 2020 |
Join me with the weakest partner, please M Mash, I Rochlin, D Sarne 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and
, 2012 | 4 | 2012 |
Dsworkflow: A framework for capturing data scientists workflows M Mash, S Rosenthal, R Simmons Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing
, 2021 | 3 | 2021 |
Reaching Fair Agreements in Group Settings M Mash Ben-Gurion University of the Negev, 2018 | 1 | 2018 |
Which is the fairest (rent division) of them all? extended abstract Y Gal, M Mash, AD Procaccia, Y Zick Proceedings of the 26th International Joint Conference on Artificial
, 2017 | 1 | 2017 |
Predicting Data Scientist Stuckness During the Development of Machine Learning Classifiers M Mash, S Oryol, R Simmons, S Rosenthal 2022 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC
, 2022 | | 2022 |
Joint Exploration with Self-interested Agents and the Fallacies of Cooperation Enhancers M Mash Bar Ilan University, 2014 | | 2014 |
Which Is the Fairest (Rent Division) of Them All? GAL YAAKOV KOBI, M MASH, AD PROCACCIA, Y ZICK | | |