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Speaker Turn Modeling for Dialogue Act Classification


Sep 10, 2021
Zihao He, Leili Tavabi, Kristina Lerman, Mohammad Soleymani


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DoGR: Disaggregated Gaussian Regression for Reproducible Analysis of Heterogeneous Data


Aug 31, 2021
Nazanin Alipourfard, Keith Burghardt, Kristina Lerman


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Pattern Discovery in Time Series with Byte Pair Encoding


May 30, 2021
Nazgol Tavabi, Kristina Lerman


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Detecting Polarized Topics in COVID-19 News Using Partisanship-aware Contextualized Topic Embeddings


Apr 15, 2021
Zihao He, Negar Mokhberian, Antonio Camara, Andres Abeliuk, Kristina Lerman


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Individualized Context-Aware Tensor Factorization for Online Games Predictions


Feb 22, 2021
Julie Jiang, Kristina Lerman, Emilio Ferrara

* 2020 International Conference on Data Mining Workshops (ICDMW) 

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Inherent Trade-offs in the Fair Allocation of Treatments


Oct 30, 2020
Yuzi He, Keith Burghardt, Siyi Guo, Kristina Lerman


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Challenges in Forecasting Malicious Events from Incomplete Data


Apr 06, 2020
Nazgol Tavabi, Andrés Abeliuk, Negar Mokhberian, Jeremy Abramson, Kristina Lerman

* Accepted in The Fifth Workshop on Computational Methods in Online Misbehavior, Companion Proceedings of The 2020 World Wide Web Conference (WWW '20) 

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Learning Behavioral Representations from Wearable Sensors


Nov 16, 2019
Nazgol Tavabi, Homa Hosseinmardi, Jennifer L. Villatte, Andrés Abeliuk, Shrikanth Narayanan, Emilio Ferrara, Kristina Lerman


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Learning Fair and Interpretable Representations via Linear Orthogonalization


Oct 28, 2019
Yuzi He, Keith Burghardt, Kristina Lerman

* 9 pages, 5 figures 

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A Survey on Bias and Fairness in Machine Learning


Sep 17, 2019
Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, Aram Galstyan


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Follow the Leader: Documents on the Leading Edge of Semantic Change Get More Citations


Sep 09, 2019
Sandeep Soni, Kristina Lerman, Jacob Eisenstein

* 11 pages, 2 figures 

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MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing


May 28, 2019
Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor, Nazanin Alipourfard, Kristina Lerman, Hrayr Harutyunyan, Greg Ver Steeg, Aram Galstyan


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Discovering Hidden Structure in High Dimensional Human Behavioral Data via Tensor Factorization


May 21, 2019
Homa Hosseinmardi, Hsien-Te Kao, Kristina Lerman, Emilio Ferrara

* 2018 ACM International WSDM Conference, Heteronam Workshop 
* 2018 WSDM Heteronam Workshop 

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MixHop: Higher-Order Graph Convolution Architectures via Sparsified Neighborhood Mixing


Apr 30, 2019
Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor, Hrayr Harutyunyan, Nazanin Alipourfard, Kristina Lerman, Greg Ver Steeg, Aram Galstyan

* International Conference on Machine Learning, 2019 

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Characterizing Activity on the Deep and Dark Web


Mar 01, 2019
Nazgol Tavabi, Nathan Bartley, Andrés Abeliuk, Sandeep Soni, Emilio Ferrara, Kristina Lerman


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Tensor Embedding: A Supervised Framework for Human Behavioral Data Mining and Prediction


Aug 31, 2018
Homa Hosseinmardi, Amir Ghasemian, Shrikanth Narayanan, Kristina Lerman, Emilio Ferrara


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Discovering Signals from Web Sources to Predict Cyber Attacks


Jun 08, 2018
Palash Goyal, KSM Tozammel Hossain, Ashok Deb, Nazgol Tavabi, Nathan Bartley, Andr'es Abeliuk, Emilio Ferrara, Kristina Lerman


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Using Simpson's Paradox to Discover Interesting Patterns in Behavioral Data


May 08, 2018
Nazanin Alipourfard, Peter G. Fennell, Kristina Lerman

* Proceedings of the 12th International Conference on Web and Social Media 

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Predicting Cyber Events by Leveraging Hacker Sentiment


Apr 14, 2018
Ashok Deb, Kristina Lerman, Emilio Ferrara


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Network Vector: Distributed Representations of Networks with Global Context


Sep 07, 2017
Hao Wu, Kristina Lerman


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The DARPA Twitter Bot Challenge


Apr 21, 2016
V. S. Subrahmanian, Amos Azaria, Skylar Durst, Vadim Kagan, Aram Galstyan, Kristina Lerman, Linhong Zhu, Emilio Ferrara, Alessandro Flammini, Filippo Menczer, Andrew Stevens, Alexander Dekhtyar, Shuyang Gao, Tad Hogg, Farshad Kooti, Yan Liu, Onur Varol, Prashant Shiralkar, Vinod Vydiswaran, Qiaozhu Mei, Tim Hwang

* Computer 49 (6), 38-46. IEEE, 2016 
* IEEE Computer Magazine, in press 

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The Myopia of Crowds: A Study of Collective Evaluation on Stack Exchange


Feb 24, 2016
Keith Burghardt, Emanuel F. Alsina, Michelle Girvan, William Rand, Kristina Lerman

* PLoS ONE 12(3): e0173610 
* 10 pages, 9 figures 

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Tripartite Graph Clustering for Dynamic Sentiment Analysis on Social Media


Jun 12, 2014
Linhong Zhu, Aram Galstyan, James Cheng, Kristina Lerman

* A short version is in Proceeding of the 2014 ACM SIGMOD International Conference on Management of data 

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Spectral Clustering with Epidemic Diffusion


Oct 04, 2013
Laura M. Smith, Kristina Lerman, Cristina Garcia-Cardona, Allon G. Percus, Rumi Ghosh

* 6 pages, to appear in Physical Review E 

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LA-LDA: A Limited Attention Topic Model for Social Recommendation


Jan 26, 2013
Jeon-Hyung Kang, Kristina Lerman, Lise Getoor

* The 2013 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction (SBP 2013) 

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A Probabilistic Approach for Learning Folksonomies from Structured Data


Nov 16, 2010
Anon Plangprasopchok, Kristina Lerman, Lise Getoor

* In Proceedings of the 4th ACM Web Search and Data Mining Conference (WSDM) 

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Growing a Tree in the Forest: Constructing Folksonomies by Integrating Structured Metadata


May 27, 2010
Anon Plangprasopchok, Kristina Lerman, Lise Getoor

* 10 pages, To appear in the Proceedings of ACM SIGKDD Conference on Knowledge Discovery and Data Mining(KDD) 2010 

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Integrating Structured Metadata with Relational Affinity Propagation


May 26, 2010
Anon Plangprasopchok, Kristina Lerman, Lise Getoor

* 6 Pages, To appear at AAAI Workshop on Statistical Relational AI 

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Modeling Social Annotation: a Bayesian Approach


May 26, 2010
Anon Plangprasopchok, Kristina Lerman

* 29 Pages, Accepted for publication at ACM Transactions on Knowledge Discovery from Data(TKDD) on March 2, 2010 

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