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Journal Articles
- 2023
[j2]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)- [j1]Tianzhixi Yin, Gihan Panapitiya, Elizabeth D. Coda, Emily Saldanha:
Evaluating uncertainty-based active learning for accelerating the generalization of molecular property prediction. J. Cheminformatics 15(1): 105 (2023)
Conference and Workshop Papers
- 2023
- [c7]Rishabh Joshi, Vidhisha Balachandran, Emily Saldanha, Maria Glenski, Svitlana Volkova, Yulia Tsvetkov:
Unsupervised Keyphrase Extraction via Interpretable Neural Networks. EACL (Findings) 2023: 1077-1089 - 2021
- [c6]Gihan Panapitiya, Fred Parks, Jonathan Sepulveda, Emily Saldanha:
Extracting Material Property Measurement Data from Scientific Articles. EMNLP (1) 2021: 5393-5402 - [c5]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
- [c4]Emily Saldanha, Aparna Garimella, Svitlana Volkova:
Understanding and Explicitly Measuring Linguistic and Stylistic Properties of Deception via Generation and Translation. INLG 2020: 216-226 - 2019
- [c3]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 - [c2]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 - [c1]Maria Glenski, Emily Saldanha, Svitlana Volkova:
Characterizing Speed and Scale of Cryptocurrency Discussion Spread on Reddit. WWW 2019: 560-570
Informal and Other Publications
- 2023
- [i4]Gihan Panapitiya, Emily Saldanha:
Outlier-Based Domain of Applicability Identification for Materials Property Prediction Models. CoRR abs/2302.06454 (2023) - 2022
- [i3]Rishabh Joshi, Vidhisha Balachandran, Emily Saldanha, Maria Glenski, Svitlana Volkova, Yulia Tsvetkov:
Unsupervised Keyphrase Extraction via Interpretable Neural Networks. CoRR abs/2203.07640 (2022) - 2021
- [i2]Gihan Panapitiya, Michael Girard, Aaron Hollas, Vijay Murugesan, Wei Wang, Emily Saldanha:
Predicting Aqueous Solubility of Organic Molecules Using Deep Learning Models with Varied Molecular Representations. CoRR abs/2105.12638 (2021) - [i1]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)
Coauthor Index
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