Lyle Ungar

发表

To Retweet or Not to Retweet: Understanding What Features of Cardiovascular Tweets Influence Their Retransmission

Sharath Chandra Guntuku, Qinghua Yang, Christopher Tufts, 2018, Journal of health communication.

Bayesian aggregation of two forecasts in the partial information framework

Robin Pemantle, Philip A. Ernst, Ville Satopaa, 2016, 1608.04717.

Generalized SHAP: Generating multiple types of explanations in machine learning pdf

Lyle Ungar, Dillon Bowen, L. Ungar, 2020, ArXiv.

Lessons Learned About Public Health from Online Crowd Surveillance

Lyle Ungar, Raina Merchant, Shawndra Hill, 2013, Big Data.

Mapping well-being using Twitter: (510342018-001)

Lyle Ungar, 2018 .

Learning Word Ratings for Empathy and Distress from Document-Level User Responses

Joao Sedoc, Anneke Buffone, Lyle Ungar, 2019, LREC.

IntentFinder: A system for discovering significant information implicit in large, heterogeneous document collections and computationally mapping social networks and command nodes

Lyle Ungar, Stephen Leibholz, Carole Chaski, 2011, 2011 IEEE International Conference on Technologies for Homeland Security (HST).

The Role of Protected Class Word Lists in Bias Identification of Contextualized Word Representations

João Sedoc, Lyle Ungar, L. Ungar, 2019, Proceedings of the First Workshop on Gender Bias in Natural Language Processing.

Spectral methods for brain imaging and text analysis

Lyle Ungar, 2014, 2014 IEEE Signal Processing in Medicine and Biology Symposium (SPMB).

A joint deep learning model enables simultaneous batch effect correction, denoising, and clustering in single-cell transcriptomics

Kui Wang, Gang Hu, Lyle Ungar, 2020, bioRxiv.

Sentence-Level BERT and Multi-Task Learning of Age and Gender in Social Media pdf

Muhammad Abdul-Mageed, Chiyu Zhang, Michael Przystupa, 2019, ArXiv.

Prospective Learning: Back to the Future pdf

Eric Eaton, Nitish Thakor, Ralph Etienne-Cummings, 2022, ArXiv.