Subhrajit Guhathakurta
Transportation · 2015–2019
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Subhrajit Guhathakurta trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Subhrajit Guhathakurta overall
Papers from Subhrajit Guhathakurta's perspective
Ordered by how strongly the researchers Subhrajit Guhathakurta trusts endorse each paper. Same corpus, a different order for every researcher.
- Greedy function approximation: A gradient boosting machine.
- Scikit-learn: Machine Learning in Python
- Opportunities and insights for reducing fossil fuel consumption by households and organizations (Nature Energy)
- Development of prediction models for next-day building energy consumption and peak power demand using data mining techniques
- A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
- Bagging Predictors
- On Bias, Variance, 0/1—Loss, and the Curse-of-Dimensionality
- Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning
- Information Theory: 1948-1998 - Guest Editorial
- Experiments with a New Boosting Algorithm
Their papers
- Are millennials more multimodal? A latent-class cluster analysis with attitudes and preferences among millennial and Generation X commuters in California (2019) — 102 citations
- Machine learning approaches for estimating commercial building energy consumption (2017)
- Exploring the impact of shared autonomous vehicles on urban parking demand: An agent-based simulation approach (2015) — 394 citations