Vinayak Sharma
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 9 citations into it
- Safety, Robustness & Interpretability — 5 citations into it
Whom Vinayak Sharma trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Vinayak Sharma's perspective
Ordered by how strongly the researchers Vinayak Sharma trusts endorse each paper. Same corpus, a different order for every researcher.
- Bagging Predictors
- Scikit-learn: Machine Learning in Python
- Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
- Probabilistic energy forecasting: Global Energy Forecasting Competition 2014 and beyond
- Consistent Individualized Feature Attribution for Tree Ensembles
- Integrating Machine Learning with Symbolic Reasoning to Build an Explainable AI Model for Stroke Prediction
- Interpretable Machine Learning
- A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings
- MLxtend: Providing machine learning and data science utilities and extensions to Python's scientific computing stack (Journal of Open Source Software)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)