Emily Saldanha

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 13

Top Topics

Keyphrase Extraction

Top Venues

EuroVis (Short Papers)

Comput. Math. Organ. Theory

J. Cheminformatics

Publications

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) (2023)
Gihan Panapitiya, Emily Saldanha
Outlier-Based Domain of Applicability Identification for Materials Property Prediction Models. CoRR (2023)
Rishabh Joshi, Vidhisha Balachandran, Emily Saldanha, Maria Glenski, Svitlana Volkova, Yulia Tsvetkov
Unsupervised Keyphrase Extraction via Interpretable Neural Networks. EACL (Findings) (2023)
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) (2023)
Rishabh Joshi, Vidhisha Balachandran, Emily Saldanha, Maria Glenski, Svitlana Volkova, Yulia Tsvetkov
Unsupervised Keyphrase Extraction via Interpretable Neural Networks. CoRR (2022)
Grace Guo, Maria Glenski, ZhuanYi Shaw, Emily Saldanha, Alex Endert, Svitlana Volkova, Dustin Arendt
VAINE: Visualization and AI for Natural Experiments. CoRR (2021)
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 (2021)
Gihan Panapitiya, Fred Parks, Jonathan Sepulveda, Emily Saldanha
Extracting Material Property Measurement Data from Scientific Articles. EMNLP (1) (2021)
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)
Emily Saldanha, Aparna Garimella, Svitlana Volkova
Understanding and Explicitly Measuring Linguistic and Stylistic Properties of Deception via Generation and Translation. INLG (2020)
Dustin Arendt, Emily Saldanha, Ryan Wesslen, Svitlana Volkova, Wenwen Dou
Towards rapid interactive machine learning: evaluating tradeoffs of classification without representation. IUI (2019)
Emily Saldanha, Brenda Praggastis, Todd Billow, Dustin Lockhart Arendt
ReLVis: Visual Analytics for Situational Awareness During Reinforcement Learning Experimentation. EuroVis (Short Papers) (2019)
Maria Glenski, Emily Saldanha, Svitlana Volkova
Characterizing Speed and Scale of Cryptocurrency Discussion Spread on Reddit. WWW (2019)