Using Crowdsourcing to Generate an Evaluation Dataset for Name Matching Technologies. - Alya Asarina; Olga Simek (HCOMP (Works in Progress / Demos), 2013)

Recommending Documents for Complex Question Exploration by Analyzing Browsing Behavior. - Alya Abbott; Olga Simek (JISIC, 2014)

A network science approach to open source data fusion and analytics for disaster response. - Christian Anderson; Paul Breimyer; Stephanie Foster; Kelly Geyer; J. Daniel Griffith; Andrew Heier; Arjun Majumdar; Danelle C. Shah; Olga Simek; Nicholas Stanisha; Frederick R. Waugh (FUSION, 2015)

Application of graph methods for leveraging open source data during disaster response. - Danelle C. Shah; Christian Anderson; Paul Breimyer; Stephanie Foster; Kelly Geyer; J. Daniel Griffith; Andrew Heier; Arjun Majumdar; Olga Simek; Nicholas Stanisha; Frederick R. Waugh (GHTC, 2015)

Recommending Documents for Complex Question Exploration by Analyzing Collective Browsing Behavior. - Alya Asarina; Olga Simek (HICSS, 2015)

Searching for Twitter Posts by Location. - Ariana S. Minot; Andrew Heier; Davis E. King; Olga Simek; Nicholas Stanisha (ICTIR, 2015)

Named Entity Recognition in 140 Characters or Less. - Kelly Geyer; Kara Greenfield; Alyssa C. Mensch; Olga Simek (#Microposts, 2016)

A Reverse Approach to Named Entity Extraction and Linking in Microposts. - Kara Greenfield; Rajmonda Sulo Caceres; Michael Coury; Kelly Geyer; Youngjune Gwon; Jason Matterer; Alyssa C. Mensch; Cem Safak Sahin; Olga Simek (#Microposts, 2016)

Detection and Characterization of Human Trafficking Networks Using Unsupervised Scalable Text Template Matching. - Lin Li 005; Olga Simek; Angela Lai; Matthew P. Daggett; Charlie K. Dagli; Cara Jones (IEEE BigData, 2018)

XLab: Early Indications & Warnings from Open Source Data with Application to Biological Threat. - Olga Simek; Curtis Davis; Andrew Heier; Sanjeev Mohindra; Kyle O'Brien; John Passarelli; Frederick R. Waugh (HICSS, 2018)

Influence Estimation on Social Media Networks Using Causal Inference. - Steven Thomas Smith; Edward K. Kao; Danelle C. Shah; Olga Simek; Donald B. Rubin (SSP, 2018)

Characterization of Disinformation Networks Using Graph Embeddings and Opinion Mining. - Olga Simek; Alyssa C. Mensch; Lin Li 005; Charlie K. Dagli (EISIC, 2019)

Prototype and Analytics for Discovery and Exploitation of Threat Networks on Social Media. - Olga Simek; Danelle C. Shah; Andrew Heier (EISIC, 2019)

Collective Classification for Social Media Credibility Estimation. - Kyle O'Brien; Olga Simek; Frederick R. Waugh (HICSS, 2019)

Adapting Deep Learning Models to New Meteorological Contexts Using Transfer Learning. - Pooya Khorrami; Olga Simek; Brian Cheung; Mark Veillette; Rumen Dangovski; Ileana Rugina; Marin Soljacic; Pulkit Agrawal 001 (IEEE BigData, 2021)

Meta-Learning and Self-Supervised Pretraining for Real World Image Translation. - Ileana Rugina; Rumen Dangovski; Mark Veillette; Pooya Khorrami; Brian Cheung; Olga Simek; Marin Soljacic (CoRR, 2021)

Automatic detection of influential actors in disinformation networks. - Steven Thomas Smith; Edward K. Kao; Erika D. Mackin; Danelle C. Shah; Olga Simek; Donald B. Rubin (Proc. Natl. Acad. Sci. USA, 2021)

Developing a Series of AI Challenges for the United States Department of the Air Force. - Vijay Gadepally; Gregory Angelides; Andrei Barbu; Andrew Bowne; Laura J. Brattain; Tamara Broderick; Armando Cabrera; Glenn Carl; Ronisha Carter; Miriam Cha; Emilie Cowen; Jesse Cummings; et al. (CoRR, 2022)

Meta-Learning and Self-Supervised Pretraining for Storm Event Imagery Translation. - Ileana Rugina; Rumen Dangovski; Mark Veillette; Pooya Khorrami; Brian Cheung; Olga Simek; Marin Soljacic (HPEC, 2023)

War of Words: Harnessing the Potential of Large Language Models and Retrieval Augmented Generation to Classify, Counter and Diffuse Hate Speech. - Rohan Leekha; Olga Simek; Charlie K. Dagli (FLAIRS, 2024)

From low resource information extraction to identifying influential nodes in knowledge graphs. - Erica Cai; Olga Simek; Benjamin A. Miller; Danielle Sullivan-Pao; Evan Young; Christopher L. Smith (CoRR, 2024)