Emily Saldanha
Orcid: 0000-0001-8621-674X
According to our database1,
Emily Saldanha
authored at least 11 papers
between 2019 and 2023.
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Bibliography
2023
Evaluating uncertainty-based active learning for accelerating the generalization of molecular property prediction.
J. Cheminformatics, December, 2023
Explaining and predicting human behavior and social dynamics in simulated virtual worlds: reproducibility, generalizability, and robustness of causal discovery methods.
Comput. Math. Organ. Theory, March, 2023
Outlier-Based Domain of Applicability Identification for Materials Property Prediction Models.
CoRR, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
2021
Predicting Aqueous Solubility of Organic Molecules Using Deep Learning Models with Varied Molecular Representations.
CoRR, 2021
Proceedings of the 2021 IEEE Visualization Conference, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
2020
Understanding and Explicitly Measuring Linguistic and Stylistic Properties of Deception via Generation and Translation.
Proceedings of the 13th International Conference on Natural Language Generation, 2020
2019
Proceedings of the World Wide Web Conference, 2019
ReLVis: Visual Analytics for Situational Awareness During Reinforcement Learning Experimentation.
Proceedings of the 21st Eurographics Conference on Visualization, 2019
Towards rapid interactive machine learning: evaluating tradeoffs of classification without representation.
Proceedings of the 24th International Conference on Intelligent User Interfaces, 2019