A survey on bias and fairness in machine learning N Mehrabi, F Morstatter, N Saxena, K Lerman, A Galstyan ACM computing surveys (CSUR) 54 (6), 1-35, 2021 | 4287 | 2021 |
Multitask learning and benchmarking with clinical time series data H Harutyunyan, H Khachatrian, DC Kale, G Ver Steeg, A Galstyan Scientific data 6 (1), 96, 2019 | 924 | 2019 |
Mixhop: Higher-order graph convolutional architectures via sparsified neighborhood mixing S Abu-El-Haija, B Perozzi, A Kapoor, N Alipourfard, K Lerman, ... international conference on machine learning, 21-29, 2019 | 885 | 2019 |
The DARPA Twitter bot challenge VS Subrahmanian, A Azaria, S Durst, V Kagan, A Galstyan, K Lerman, ... Computer 49 (6), 38-46, 2016 | 551 | 2016 |
Distributed online localization in sensor networks using a moving target A Galstyan, B Krishnamachari, K Lerman, S Pattem Proceedings of the 3rd international symposium on Information processing in …, 2004 | 371 | 2004 |
Analysis of dynamic task allocation in multi-robot systems K Lerman, C Jones, A Galstyan, MJ Matarić The International Journal of Robotics Research 25 (3), 225-241, 2006 | 358 | 2006 |
Mathematical model of foraging in a group of robots: Effect of interference K Lerman, A Galstyan Autonomous Robots 13 (2), 127-141, 2002 | 294 | 2002 |
Scalable temporal latent space inference for link prediction in dynamic social networks L Zhu, D Guo, J Yin, G Ver Steeg, A Galstyan IEEE Transactions on Knowledge and Data Engineering 28 (10), 2765-2777, 2016 | 292 | 2016 |
Information Transfer in Social Media G Ver Steeg, A Galstyan WWW 2012, 2011 | 275 | 2011 |
Hormone-inspired self-organization and distributed control of robotic swarms WM Shen, P Will, A Galstyan, CM Chuong Autonomous Robots 17 (1), 93-105, 2004 | 267 | 2004 |
Invariant representations without adversarial training D Moyer, S Gao, R Brekelmans, GV Steeg, A Galstyan Advances in Neural Information Processing Systems (NeurIPS), 2018 | 241 | 2018 |
Efficient estimation of mutual information for strongly dependent variables S Gao, G Ver Steeg, A Galstyan Artificial intelligence and statistics, 277-286, 2015 | 233 | 2015 |
A review of probabilistic macroscopic models for swarm robotic systems K Lerman, A Martinoli, A Galstyan Swarm Robotics, 143-152, 2005 | 232 | 2005 |
Predicting online extremism, content adopters, and interaction reciprocity E Ferrara, WQ Wang, O Varol, A Flammini, A Galstyan Social Informatics: 8th International Conference, SocInfo 2016, Bellevue, WA …, 2016 | 196 | 2016 |
A macroscopic analytical model of collaboration in distributed robotic systems K Lerman, A Galstyan, A Martinoli, A Ijspeert Artificial Life 7 (4), 375-393, 2001 | 186 | 2001 |
Top-down vs bottom-up methodologies in multi-agent system design V Crespi, A Galstyan, K Lerman Autonomous Robots 24, 303-313, 2008 | 184 | 2008 |
Resource allocation in the grid using reinforcement learning A Galstyan, K Czajkowski, K Lerman Proceedings of the Third International Joint Conference on Autonomous Agents …, 2004 | 169 | 2004 |
Analysis of social voting patterns on digg K Lerman, A Galstyan Proceedings of the first workshop on Online social networks, 7-12, 2008 | 155 | 2008 |
Opinion dynamics with confirmation bias AE Allahverdyan, A Galstyan PloS one 9 (7), e99557, 2014 | 149 | 2014 |
Stacking models for nearly optimal link prediction in complex networks A Ghasemian, H Hosseinmardi, A Galstyan, EM Airoldi, A Clauset Proceedings of the National Academy of Sciences 117 (38), 23393-23400, 2020 | 141 | 2020 |