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Books and Theses
- 2012
[b1]Dustin Lockhart Arendt:
In Search of Self-Organization. Virginia Tech, Blacksburg, VA, USA, 2012
Journal Articles
- 2024
- [j7]Brenda Praggastis
, Sinan Aksoy, Dustin Arendt, Mark Bonicillo, Cliff A. Joslyn, Emilie Purvine, Madelyn Shapiro, Ji Young Yun:
HyperNetX: A Python package for modeling complex network data as hypergraphs. J. Open Source Softw. 9(96): 6016 (2024) - [j6]Brittany Davis Pierson, Dustin Arendt, John Miller, Matthew E. Taylor:
Comparing explanations in RL. Neural Comput. Appl. 36(1): 505-516 (2024) - 2023
- [j5]Svitlana Volkova, Dustin Arendt, Emily Saldanha, Maria Glenski, Ellyn Ayton, Joseph Cottam, Sinan Aksoy, Brett Jefferson, Karthnik Shrivaram:
Explaining and predicting human behavior and social dynamics in simulated virtual worlds: reproducibility, generalizability, and robustness of causal discovery methods. Comput. Math. Organ. Theory 29(1): 220-241 (2023) - 2018
- [j4]Aritra Dasgupta, Dustin Lockhart Arendt, Lyndsey Franklin, Pak Chung Wong, Kristin A. Cook:
Human Factors in Streaming Data Analysis: Challenges and Opportunities for Information Visualization. Comput. Graph. Forum 37(1): 254-272 (2018) - 2015
- [j3]Dustin Arendt, Leslie M. Blaha:
Opinions, influence, and zealotry: a computational study on stubbornness. Comput. Math. Organ. Theory 21(2): 184-209 (2015) - 2012
- [j2]Dustin Arendt, Yang Cao:
Effective GPU Acceleration of Large Scale, Asynchronous Simulations on Graphs. Adv. Complex Syst. 15(8) (2012) - [j1]Dustin Arendt, Yang Cao:
Evolutionary motifs for the Automated Discovery of Self-Organizing dimer Automata. Adv. Complex Syst. 15(8) (2012)
Conference and Workshop Papers
- 2021
- [c27]Maria Glenski, Ellyn Ayton, Robin Cosbey, Dustin Arendt, Svitlana Volkova:
Evaluating Deception Detection Model Robustness To Linguistic Variation. SocialNLP@NAACL 2021: 70-80 - [c26]Winston Wu, Dustin Arendt, Svitlana Volkova:
Evaluating Neural Model Robustness for Machine Comprehension. EACL 2021: 2470-2481 - [c25]Maria Glenski, William Sealy, Kate Miller, Dustin Arendt:
Improving Synonym Recommendation Using Sentence Context. SustaiNLP@EMNLP 2021: 74-78 - [c24]Grace Guo, Maria Glenski, ZhuanYi Shaw, Emily Saldanha, Alex Endert, Svitlana Volkova, Dustin Arendt:
VAINE: Visualization and AI for Natural Experiments. IEEE VIS (Short Papers) 2021: 21-25 - 2020
- [c23]Fumeng Yang, Zhuanyi Huang, Jean Scholtz, Dustin L. Arendt:
How do visual explanations foster end users' appropriate trust in machine learning? IUI 2020: 189-201 - [c22]Dustin L. Arendt, Nasheen Nur, Zhuanyi Huang, Gabriel Fair, Wenwen Dou:
Parallel embeddings: a visualization technique for contrasting learned representations. IUI 2020: 259-274 - [c21]Cliff A. Joslyn, Sinan Aksoy, Dustin Arendt, Jesun Firoz, Louis Jenkins, Brenda Praggastis, Emilie Purvine, Marcin Zalewski:
Hypergraph Analytics of Domain Name System Relationships. WAW 2020: 1-15 - 2019
- [c20]Prasha Shrestha, Suraj Maharjan, Dustin Arendt, Svitlana Volkova:
Learning from Dynamic User Interaction Graphs to Forecast Diverse Social Behavior. CIKM 2019: 2033-2042 - [c19]Svitlana Volkova, Ellyn Ayton, Dustin Lockhart Arendt, Zhuanyi Huang, Brian Hutchinson:
Explaining Multimodal Deceptive News Prediction Models. ICWSM 2019: 659-662 - [c18]Alireza Karduni, Isaac Cho, Ryan Wesslen, Sashank Santhanam, Svitlana Volkova, Dustin Lockhart Arendt, Samira Shaikh, Wenwen Dou:
Vulnerable to misinformation?: Verifi! IUI 2019: 312-323 - [c17]Dustin Arendt, Emily Saldanha, Ryan Wesslen, Svitlana Volkova, Wenwen Dou:
Towards rapid interactive machine learning: evaluating tradeoffs of classification without representation. IUI 2019: 591-602 - [c16]Emily Saldanha, Brenda Praggastis, Todd Billow, Dustin Lockhart Arendt:
ReLVis: Visual Analytics for Situational Awareness During Reinforcement Learning Experimentation. EuroVis (Short Papers) 2019: 43-47 - 2018
- [c15]Dustin Arendt, Emily Grace, Svitlana Volkova:
Interactive Machine Learning at Scale With CHISSL. AAAI 2018: 8194-8195 - [c14]Alireza Karduni, Ryan Wesslen, Sashank Santhanam, Isaac Cho, Svitlana Volkova, Dustin Arendt, Samira Shaikh, Wenwen Dou:
Can You Verifi This? Studying Uncertainty and Decision-Making About Misinformation Using Visual Analytics. ICWSM 2018: 151-160 - [c13]Dustin Lockhart Arendt, Lyndsey R. Franklin, Fumeng Yang, Brooke R. Brisbois, Ryan R. LaMothe:
Crush Your Data with ViC2ES Then CHISSL Away. VizSEC 2018: 1-8 - 2017
- [c12]Dustin Arendt, Svitlana Volkova:
ESTEEM: A Novel Framework for Qualitatively Evaluating and Visualizing Spatiotemporal Embeddings in Social Media. ACL (System Demonstrations) 2017: 25-30 - [c11]Dustin Arendt, Caner Komurlu, Leslie M. Blaha:
CHISSL: A Human-Machine Collaboration Space for Unsupervised Learning. HCI (14) 2017: 429-448 - [c10]Ian Stewart, Dustin Arendt, Eric Bell, Svitlana Volkova:
Measuring, Predicting and Visualizing Short-Term Change in Word Representation and Usage in VKontakte Social Network. ICWSM 2017: 672-675 - [c9]Dustin Arendt, Meg Pirrung:
The "y" of it Matters, Even for Storyline Visualization. VAST 2017: 81-91 - [c8]Lawrence Phillips, Kyle Shaffer, Dustin Arendt, Nathan Oken Hodas, Svitlana Volkova:
Intrinsic and Extrinsic Evaluation of Spatiotemporal Text Representations in Twitter Streams. Rep4NLP@ACL 2017: 201-210 - 2016
- [c7]J. Timothy Balint, Dustin Arendt, Leslie M. Blaha:
Storyline visualizations of eye tracking of movie viewing. ETVIS 2016: 35-39 - [c6]Svitlana Volkova, Ilia Chetviorkin, Dustin Arendt, Benjamin Van Durme:
Contrasting Public Opinion Dynamics and Emotional Response During Crisis. SocInfo (1) 2016: 312-329 - [c5]Dustin Arendt, Daniel M. Best, Russ Burtner, Celeste Lyn Paul:
CyberPetri at CDX 2016: Real-time network situation awareness. VizSEC 2016: 1-4 - 2015
- [c4]Dustin Lockhart Arendt:
SVEN: An Alternative Storyline Framework for Dynamic Graph Visualization. GD 2015: 554-555 - [c3]Dustin Lockhart Arendt, Russ Burtner, Daniel M. Best, Nathan D. Bos, John R. Gersh, Christine D. Piatko, Celeste Lyn Paul:
Ocelot: user-centered design of a decision support visualization for network quarantine. VizSEC 2015: 1-8 - 2014
- [c2]Leslie M. Blaha, Dustin Arendt, Fairul Mohd-Zaid:
More bang for your research buck: toward recommender systems for visual analytics. BELIV 2014: 126-133 - 2006
- [c1]Eunice E. Santos, Long Pan, Dustin Lockhart Arendt, Morgan Pittkin:
An Effective Anytime Anywhere Parallel Approach for Centrality Measurements in Social Network Analysis. SMC 2006: 4693-4698
Editorship
- 2019
- [e1]Robert Gove, Dustin Arendt, Jörn Kohlhammer, Marco Angelini, Celeste Lyn Paul, Chris Bryan, Sean McKenna, Nicolas Prigent, Parnian Najafi, Awalin Sopan:
16th IEEE Symposium on Visualization for Cyber Security, VizSec 2019, Vancouver, BC, Canada, October 23, 2019. IEEE 2019, ISBN 978-1-7281-3876-3 [contents]
Informal and Other Publications
- 2024
- [i14]Grace Guo, Dustin Arendt, Alex Endert:
Explainability in JupyterLab and Beyond: Interactive XAI Systems for Integrated and Collaborative Workflows. CoRR abs/2404.02081 (2024) - 2023
- [i13]Brenda Praggastis, Sinan Aksoy, Dustin Arendt, Mark Bonicillo, Cliff A. Joslyn, Emilie Purvine, Madelyn Shapiro, Ji Young Yun:
HyperNetX: A Python package for modeling complex network data as hypergraphs. CoRR abs/2310.11626 (2023) - 2021
- [i12]Maria Glenski, Ellyn Ayton, Robin Cosbey, Dustin Arendt, Svitlana Volkova:
Evaluating Deception Detection Model Robustness To Linguistic Variation. CoRR abs/2104.11729 (2021) - [i11]Maria Glenski, Ellyn Ayton, Robin Cosbey, Dustin Arendt, Svitlana Volkova:
Towards Trustworthy Deception Detection: Benchmarking Model Robustness across Domains, Modalities, and Languages. CoRR abs/2104.11761 (2021) - [i10]Grace Guo, Maria Glenski, ZhuanYi Shaw, Emily Saldanha, Alex Endert, Svitlana Volkova, Dustin Arendt:
VAINE: Visualization and AI for Natural Experiments. CoRR abs/2109.04348 (2021) - 2020
- [i9]Dustin Arendt, Zhuanyi Huang, Prasha Shrestha, Ellyn Ayton, Maria Glenski, Svitlana Volkova:
CrossCheck: Rapid, Reproducible, and Interpretable Model Evaluation. CoRR abs/2004.07993 (2020) - [i8]Winston Wu, Dustin Arendt, Svitlana Volkova:
Evaluating Neural Machine Comprehension Model Robustness to Noisy Inputs and Adversarial Attacks. CoRR abs/2005.00190 (2020) - [i7]Brittany Davis Pierson, Maria Glenski, William Sealy, Dustin Arendt:
Measure Utility, Gain Trust: Practical Advice for XAI Researcher. CoRR abs/2009.12924 (2020) - 2019
- [i6]Dustin Lockhart Arendt, Matthew Broussard, Bala Krishnamoorthy, Nathaniel Saul:
Jaccard Filtration and Stable Paths in the Mapper. CoRR abs/1906.08256 (2019) - 2018
- [i5]Alireza Karduni, Isaac Cho, Ryan Wesslen, Sashank Santhanam, Svitlana Volkova, Dustin Arendt, Samira Shaikh, Wenwen Dou:
Vulnerable to Misinformation? Verifi! CoRR abs/1807.09739 (2018) - 2017
- [i4]Ian Stewart, Dustin Arendt, Eric Bell, Svitlana Volkova:
Measuring, Predicting and Visualizing Short-Term Change in Word Representation and Usage in VKontakte Social Network. CoRR abs/1703.07012 (2017) - [i3]Lyndsey Franklin, Kyungsik Han, Zhuanyi Huang, Dustin Arendt, Nathan Oken Hodas:
Understanding Cognitive Depletion in Novice NMR Analysts. CoRR abs/1706.01919 (2017) - [i2]Maria Glenski, Ellyn Ayton, Dustin Arendt, Svitlana Volkova:
Fishing for Clickbaits in Social Images and Texts with Linguistically-Infused Neural Network Models. CoRR abs/1710.06390 (2017) - 2014
- [i1]Dustin Lockhart Arendt, Leslie M. Blaha:
SVEN: Informative Visual Representation of Complex Dynamic Structure. CoRR abs/1412.6706 (2014)
Coauthor Index
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