Publications

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Submitted

A. Abeliuk, D. M. Benjamin, F. Morstatter, and A. Galstyan, Quantifying machine influence over human forecasters, , vol. 10, no. 1, pp. 15940, Submitted. Abstract

F. Morstatter, A. Galstyan, G. Satyukov, D. Benjamin, A. Abeliuk, M. Mirtaheri, P. Atanasov, R. Joseph, J. Leskovec, M. Catasta, A. Beger, R. Sethi, R. Sosic, A. Abbas, M. Ward, M. Himmelstein, M. Steyvers, S. Bennet, A. Matsui, E. Ferrara, et al., SAGE: A Hybrid Geopolitical Event Forecasting System, , pp. 6557–6559, Submitted. Abstract

2021

H. Xie, M. E. Hussein, A. Galstyan, and W. Abd-Almageed, "MUSCLE: Strengthening Semi-Supervised Learning Via Concurrent Unsupervised Learning Using Mutual Information Maximization", IEEE Winter Conference on Applications of Computer Vision, 2021. Abstract

2019

F. Morstatter, A. Galstyan, G. Satyukov, D. Benjamin, A. Abeliuk, M. Mirtaheri, K. S. M. Hossain, P. Szekely, E. Ferrara, A. Matsui, and others, "SAGE: a hybrid geopolitical event forecasting system", Proceedings of the 28th International Joint Conference on Artificial Intelligence: AAAI Press, pp. 6557–6559, 2019.

2018

P. Goyal, H. Hosseinmardi, E. Ferrara, and A. Galstyan, "Capturing Edge Attributes via Network Embedding", IEEE Transactions on Computational Social Systems, vol. 5, no. 4: 10.1109/TCSS.2018.2877083, pp. 907–917, 2018.

P. Goyal, H. Hosseinmardi, E. Ferrara, and A. Galstyan, "Embedding networks with edge attributes", Proceedings of the 29th on Hypertext and Social Media, pp. 38–42, 2018.

S. Arakelyan, F. Morstatter, M. Martin, E. Ferrara, and A. Galstyan, "Mining and Forecasting Career Trajectories of Music Artists", Proceedings of the 29th on Hypertext and Social Media: https://dl.acm.org/citation.cfm?id=3209554, pp. 11–19, 2018.

2016

V. S. Subrahmanian, A. Azaria, S. Durst, V. Kagan, A. Galstyan, K. Lerman, L. Zhu, E. Ferrara, A. Flammini, F. Menczer, R. Waltzman, A. Stevens, A. Dekhtyar, S. Gao, T. Hogg, F. Kooti, Y. Liu, O. Varol, P. Shiralkar, V. V. G. Vydiswaran, et al., "The DARPA Twitter Bot Challenge", IEEE Computer Magazine, vol. 49, pp. 38-46, June, 2016.

A. E. Allahverdyan, and A. Galstyan, "Emergence of Leadership in Communication", PLOS ONE, vol. 11, no. 8: Public Library of Science, pp. 1-22, 08, 2016. Abstract

V. S. Subrahmanian, A. Azaria, S. Durst, V. Kagan, A. Galstyan, K. Lerman, L. Zhu, E. Ferrara, A. Flammini, F. Menczer, and others, "The DARPA Twitter Bot Challenge", Computer, vol. 49, no. 6: IEEE, pp. 38–46, 2016.

V. S. Subrahmanian, A. Azaria, S. Durst, V. Kagan, A. Galstyan, K. Lerman, L. Zhu, E. Ferrara, A. Flammini, F. Menczer, and others, "The DARPA Twitter Bot Challenge", Computer, vol. 49, no. 6: IEEE, pp. 38–46, 2016.

S. Garg, A. Galstyan, U. Hermjakob, and D. Marcu, "Extracting Biomolecular Interactions Using Semantic Parsing of Biomedical Text", AAAI'16, 2016.

G. Ver Steeg, and A. Galstyan, "The Information Sieve", ICML'16, 2016.

Y. - S. Cho, G. Ver Steeg, E. Ferrara, and A. Galstyan, "Latent Space Model for Multi-Modal Social Data", WWW '16 Proceedings of the 25th International Conference on World Wide Web: ACM, pp. 447–458, 2016.

Y. - S. Cho, G. Ver Steeg, E. Ferrara, and A. Galstyan, "Latent Space Model for Multi-Modal Social Data", WWW '16 Proceedings of the 25th International Conference on World Wide Web: ACM, pp. 447–458, 2016.

Y. S. Cho, E. Ferrara, G. Ver Steeg, and A. Galstyan, "Latent Space Models for Multimodal Social Data", WWW'16, 2016.

J. Gordon, L. Zhu, A. Galstyan, P. Natarajan, and G. Burns, "Modeling Concept Dependencies in a Scientific Corpus", ACL'16, 2016.

E. Ferrara, W. - Q. Wang, O. Varol, A. Flammini, and A. Galstyan, "Predicting online extremism, content adopters, and interaction reciprocity", International Conference on Social Informatics: Springer International Publishing, pp. 22–39, 2016.

E. Ferrara, W. - Q. Wang, O. Varol, A. Flammini, and A. Galstyan, "Predicting online extremism, content adopters, and interaction reciprocity", International Conference on Social Informatics: Springer International Publishing, pp. 22–39, 2016.

G. Ver Steeg, S. Gao, K. Reing, and A. Galstyan, Sifting Common Information from Many Variables, , 2016.

G. Ver Steeg, S. Gao, K. Reing, and A. Galstyan, "Toward Interpretable Topic Discovery via Anchored Correlation Explanation", ICML Workshop on Human Interpretability in Machine Learning (WHI'16), 2016.

L. Zhu, M. Ghasemi-Gol, P. Szekely, A. Galstyan, and C. A. Knoblock, "Unsupervised Entity Resolution on Multi-type Graphs", ISWC 2016 - 15th International Semantic Web Conference, 2016.

M. D. Huesch, A. Galstyan, M. K. Ong, and J. N. Doctor, "Using Social Media, Online Social Networks, and Internet Search as Platforms for Public Health Interventions: A Pilot Study", Health Services Research, vol. 51, pp. 1273–1290, 2016.

S. Gao, G. Ver Steeg, and A. Galstyan, "Variational Information Maximization for Feature Selection", Advances in Neural Information Processing Systems, NIPS'16, 2016.