Deeper Learning By Doing: Integrating Hands-On Research Projects Into A Machine Learning Course. | 0 | 0.34 | 2021 |
FlowSAN: Privacy-Enhancing Semi-Adversarial Networks to Confound Arbitrary Face-Based Gender Classifiers. | 0 | 0.34 | 2019 |
FlowSAN: Privacy-enhancing Semi-Adversarial Networks to Confound Arbitrary Face-based Gender Classifiers. | 0 | 0.34 | 2019 |
Consistent Rank Logits for Ordinal Regression with Convolutional Neural Networks. | 0 | 0.34 | 2019 |
MLxtend: Providing machine learning and data science utilities and extensions to Python's scientific computing stack. | 0 | 0.34 | 2018 |
Semi-adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images | 13 | 0.69 | 2018 |
Enabling the hypothesis-driven prioritization of ligand candidates in big databases: Screenlamp and its application to GPCR inhibitor discovery for invasive species control. | 0 | 0.34 | 2018 |
Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning. | 2 | 0.36 | 2018 |
Gender Privacy: An Ensemble of Semi Adversarial Networks for Confounding Arbitrary Gender Classifiers. | 7 | 0.48 | 2018 |
Protein–ligand interfaces are polarized: discovery of a strong trend for intermolecular hydrogen bonds to favor donors on the protein side with implications for predicting and designing ligand complexes | 0 | 0.34 | 2018 |
BioPandas: Working with molecular structures in pandas DataFrames. | 2 | 0.38 | 2017 |
MusicMood: Predicting the mood of music from song lyrics using machine learning. | 0 | 0.34 | 2016 |
Naive Bayes and Text Classification I - Introduction and Theory. | 3 | 0.50 | 2014 |