Intriguing Usage of Applicability Domain: Lessons from Cheminformatics Applied to Adversarial Learning. In: arxiv, 2105.00495 , 2021, (preprint).
publications
Holistic Evaluation of Biodegradation Pathway Prediction: Assessing Multi-Step Reactions and Intermediate Products
Holistic Evaluation of Biodegradation Pathway Prediction: Assessing Multi-Step Reactions and Intermediate Products. In: ChemRxiv, 2021, (preprint).
A comprehensive comparison of molecular feature representations for use in predictive modeling
A comprehensive comparison of molecular feature representations for use in predictive modeling. In: Computers in Biology and Medicine, 130 , pp. 104197, 2021, ISSN: 0010-4825.
Balancing Utility and Fairness against Privacy in Medical Data
Balancing Utility and Fairness against Privacy in Medical Data. In: IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1226-1233, IEEE, 2020.
Feature Engineering for a Seismic Loss Prediction Model using Machine Learning, Christchurch Experience
Feature Engineering for a Seismic Loss Prediction Model using Machine Learning, Christchurch Experience. In: 17th World Conference on Earthquake Engineering, 2020.
Your Best Guess When You Know Nothing: Identification and Mitigation of Selection Bias
Your Best Guess When You Know Nothing: Identification and Mitigation of Selection Bias. In: 2020 IEEE International Conference on Data Mining (ICDM), pp. 996-1001, IEEE, 2020, ISSN: 2374-8486.
A machine learning damage prediction model for the 2017 Puebla-Morelos, Mexico, earthquake
A machine learning damage prediction model for the 2017 Puebla-Morelos, Mexico, earthquake. In: Earthquake Spectra, 36 (2), pp. 314-339, 2020.
XOR-based Boolean Matrix Decomposition
XOR-based Boolean Matrix Decomposition. In: Wang, Jianyong; Shim, Kyuseok; Wu, Xindong (Ed.): 2019 IEEE International Conference on Data Mining (ICDM), pp. 638-647, IEEE, 2019, ISBN: 978-1-7281-4604-1.
A machine learning approach to quantifying the specificity of color-emotion associations and their cultural differences
A machine learning approach to quantifying the specificity of color-emotion associations and their cultural differences. In: Royal Society Open Science, 6 (9), pp. 190741, 2019.