Emily Saldanha

17 papers A* 1A 1B 1Journal 10Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AutoLabs: Cognitive Multi-Agent Systems with Self-Correction for Autonomous Chemical Experimentation. CoRR Gihan Panapitiya, Emily Saldanha, Heather Job, Olivia Hess
2025	J	`jnl`	Extracting Material Property Measurements from Scientific Literature with Limited Annotations. J. Chem. Inf. Model. Jessica Kong, Gihan Panapitiya, Emily Saldanha
2024	J	`jnl`	DISHONEST: Dissecting misInformation Spread using Homogeneous sOcial NEtworks and Semantic Topic classification. CoRR Caleb Stam, Emily Saldanha, Mahantesh Halappanavar, Anurag Acharya
2024	J	`jnl`	FragNet: A Graph Neural Network for Molecular Property Prediction with Four Layers of Interpretability. CoRR Gihan Panapitiya, Peiyuan Gao, C. Mark Maupin, Emily Saldanha
2023	J	`jnl`	Evaluating uncertainty-based active learning for accelerating the generalization of molecular property prediction. J. Cheminformatics Tianzhixi Yin, Gihan Panapitiya, Elizabeth D. Coda, Emily Saldanha
2023	J	`jnl`	Explaining and predicting human behavior and social dynamics in simulated virtual worlds: reproducibility, generalizability, and robustness of causal discovery methods. Comput. Math. Organ. Theory Svitlana Volkova, Dustin Arendt, Emily Saldanha, Maria Glenski, Ellyn Ayton, Joseph Cottam, Sinan G. Aksoy, Brett A. Jefferson, Karthnik Shrivaram
2023	J	`jnl`	Outlier-Based Domain of Applicability Identification for Materials Property Prediction Models. CoRR Gihan Panapitiya, Emily Saldanha
2023	—	`conf`	Unsupervised Keyphrase Extraction via Interpretable Neural Networks. EACL (Findings) Rishabh Joshi, Vidhisha Balachandran, Emily Saldanha, Maria Glenski, Svitlana Volkova, Yulia Tsvetkov
2022	J	`jnl`	Unsupervised Keyphrase Extraction via Interpretable Neural Networks. CoRR Rishabh Joshi, Vidhisha Balachandran, Emily Saldanha, Maria Glenski, Svitlana Volkova, Yulia Tsvetkov
2021	—	`conf`	Extracting Material Property Measurement Data from Scientific Articles. EMNLP (1) Gihan Panapitiya, Fred Parks, Jonathan Sepulveda, Emily Saldanha
2021	J	`jnl`	Predicting Aqueous Solubility of Organic Molecules Using Deep Learning Models with Varied Molecular Representations. CoRR Gihan Panapitiya, Michael Girard, Aaron Hollas, Vijay Murugesan, Wei Wang, Emily Saldanha
2021	—	`conf`	VAINE: Visualization and AI for Natural Experiments. IEEE VIS (Short Papers) Grace Guo, Maria Glenski, ZhuanYi Shaw, Emily Saldanha, Alex Endert, Svitlana Volkova, Dustin Arendt
2021	J	`jnl`	VAINE: Visualization and AI for Natural Experiments. CoRR Grace Guo, Maria Glenski, ZhuanYi Shaw, Emily Saldanha, Alex Endert, Svitlana Volkova, Dustin Arendt
2020	B	`conf`	Understanding and Explicitly Measuring Linguistic and Stylistic Properties of Deception via Generation and Translation. INLG Emily Saldanha, Aparna Garimella, Svitlana Volkova
2019	A*	`conf`	Characterizing Speed and Scale of Cryptocurrency Discussion Spread on Reddit. WWW Maria Glenski, Emily Saldanha, Svitlana Volkova
2019	—	`conf`	ReLVis: Visual Analytics for Situational Awareness During Reinforcement Learning Experimentation. EuroVis (Short Papers) Emily Saldanha, Brenda Praggastis, Todd Billow, Dustin Lockhart Arendt
2019	A	`conf`	Towards rapid interactive machine learning: evaluating tradeoffs of classification without representation. IUI Dustin Arendt, Emily Saldanha, Ryan Wesslen, Svitlana Volkova, Wenwen Dou