Miriam Mathea
BASF (United States)(US)
Publications by Year
Research Areas
Computational Drug Discovery Methods, Machine Learning in Materials Science, Imbalanced Data Classification Techniques, Various Chemistry Research Topics, Sepsis Diagnosis and Treatment
Most-Cited Works
- → Analyzing Learned Molecular Representations for Property Prediction(2019)1,673 cited
- → Current and Future Roles of Artificial Intelligence in Medicinal Chemistry Synthesis(2020)238 cited
- → Chemoinformatic Classification Methods and their Applicability Domain(2016)165 cited
- → Efficiency of different measures for defining the applicability domain of classification models(2017)89 cited
- → In Silico Models to Predict the Perturbation of Molecular Initiating Events Related to Thyroid Hormone Homeostasis(2020)57 cited
- → Correction to Analyzing Learned Molecular Representations for Property Prediction(2019)36 cited
- → Transformers for Molecular Property Prediction: Lessons Learned from the Past Five Years(2024)35 cited
- → MolPipeline: A Python Package for Processing Molecules with RDKit in Scikit-learn(2024)32 cited