Publications

This section contains publications published by ISI over the past several decades.

2020

Towards automating time series analysis for the paleogeosciences

Deborah Khider, Pratheek Athreya, Varun Ratnakar, Yolanda Gil, Feng Zhu, Myron Kwan, Julien Emile-Geay
Proceedings of the Sixth Workshop on Mining and Learning from Time Series …,  2020

Atlas of transcription factor binding sites from ENCODE DNase hypersensitivity data across 27 tissue types

Cory C Funk, Alex M Casella, Segun Jung, Matthew A Richards, Alex Rodriguez, Paul Shannon, Rory Donovan-Maiye, Ben Heavner, Kyle Chard, Yukai Xiao, Gustavo Glusman, Nilufer Ertekin-Taner, Todd E Golde, Arthur Toga, Leroy Hood, John D Van Horn, Carl Kesselman, Ian Foster, Ravi Madduri, Nathan D Price, Seth A Ament
Cell reports 32 (7),  2020

Tweeki: Linking named entities on Twitter to a knowledge graph

Bahareh Harandizadeh, Sameer Singh
Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020 …,  2020

Likelihood ratio exponential families

Rob Brekelmans, Frank Nielsen, Alireza Makhzani, Aram Galstyan, Greg Ver Steeg
arXiv preprint arXiv:2012.15480,  2020

Improving generalization by controlling label-noise information in neural network weights

Hrayr Harutyunyan, Kyle Reing, Greg Ver Steeg, Aram Galstyan
International Conference on Machine Learning, 4071-4081,  2020

Stacking models for nearly optimal link prediction in complex networks

Amir Ghasemian, Homa Hosseinmardi, Aram Galstyan, Edoardo M Airoldi, Aaron Clauset
Proceedings of the National Academy of Sciences 117 (38), 23393-23400,  2020

Robust classification under class-dependent domain shift

Tigran Galstyan, Hrant Khachatrian, Greg Ver Steeg, Aram Galstyan
arXiv preprint arXiv:2007.05335,  2020

All in the exponential family: Bregman duality in thermodynamic variational inference

Rob Brekelmans, Vaden Masrani, Frank Wood, Greg Ver Steeg, Aram Galstyan
ICML 2020,  2020

Forecasting violent events in the middle east and north africa using the hidden markov model and regularized autoregressive models

KSM Tozammel Hossain, Shuyang Gao, Brendan Kennedy, Aram Galstyan, Prem Natarajan
The Journal of Defense Modeling and Simulation 17 (3), 269-283,  2020

Modeling dialogues with hashcode representations: A nonparametric approach

Sahil Garg, Irina Rish, Guillermo Cecchi, Palash Goyal, Sarik Ghazarian, Shuyang Gao, Greg Ver Steeg, Aram Galstyan
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3970-3979,  2020

Predictive engagement: An efficient metric for automatic evaluation of open-domain dialogue systems

Sarik Ghazarian, Ralph Weischedel, Aram Galstyan, Nanyun Peng
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7789-7796,  2020

Gaia: A fine-grained multimedia knowledge extraction system

Manling Li, Alireza Zareian, Ying Lin, Xiaoman Pan, Spencer Whitehead, Brian Chen, Bo Wu, Heng Ji, Shih-Fu Chang, Clare Voss, Daniel Napierski, Marjorie Freedman
Proceedings of the 58th Annual Meeting of the Association for Computational …,  2020

SEARCHER: Shared embedding architecture for effective retrieval

Joel Barry, Elizabeth Boschee, Marjorie Freedman, Scott Miller
Proceedings of the workshop on Cross-Language Search and Summarization of …,  2020

Training with Streaming Annotation

Tongtao Zhang, Heng Ji, Shih-Fu Chang, Marjorie Freedman
arXiv preprint arXiv:2002.04165,  2020

GAIA at SMKBP 2020-a dockerlized multi-media multi-lingual knowledge extraction, clustering, temporal tracking and hypothesis generation system

Manling Li, Ying Lin, Tuan Manh Lai, Xiaoman Pan, Haoyang Wen, Sha Li, Zhenhailong Wang, Pengfei Yu, Lifu Huang, Di Lu, Qingyun Wang, Haoran Zhang, Qi Zeng, Chi Han, Zixuan Zhang, Yujia Qin, Xiaodan Hu, Nikolaus Parulian, Daniel Campos, Heng Ji, Brian Chen, Xudong Lin, Alireza Zareian, Amith Ananthram, Emily Allaway, Shih-Fu Chang, Kathleen McKeown, Yixiang Yao, Michael Spector, Mitchell DeHaven, Daniel Napierski, Marjorie Freedman, Pedro Szekely, Haidong Zhu, Ram Nevatia, Yang Bai, Yifan Wang, Ali Sadeghian, Haodi Ma, Daisy Zhe Wang
Proceedings of Thirteenth Text Analysis Conference (TAC 2020),  2020

User-based collaborative filtering mobile health system

Hsien-Te Kao, Shen Yan, Homa Hosseinmardi, Shrikanth Narayanan, Kristina Lerman, Emilio Ferrara
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …,  2020

Individualized context-aware tensor factorization for online games predictions

Julie Jiang, Kristina Lerman, Emilio Ferrara
2020 International Conference on Data Mining Workshops (ICDMW), 292-299,  2020

The data scientist keeping tabs on bots and the US election

EMILIO FERRARA
Nature 587, 21,  2020

Misinformation, manipulation, and abuse on social media in the era of COVID-19

Emilio Ferrara, Stefano Cresci, Luca Luceri
Journal of Computational Social Science 3, 271-277,  2020