Muhammad Waseem Ahmad

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it

Whom Muhammad Waseem Ahmad trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Pierre Geurts
2. Victor Francisco Rodriguez-Galiano
3. Fabian Pedregosa
4. Damien Ernst
5. Leo Breiman
6. Manuel Sanchez-Castillo
7. Louis Wehenkel
8. Lars Kai Hansen

Papers from Muhammad Waseem Ahmad's perspective

Ordered by how strongly the researchers Muhammad Waseem Ahmad trusts endorse each paper. Same corpus, a different order for every researcher.

1. Scikit-learn: Machine Learning in Python
2. Neural Network Ensembles
3. Machine learning predictive models for mineral prospectivity: an evaluation of neural networks, random forest, regression trees and support vector machines
4. Bagging Predictors
5. Classification and regression trees
6. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. A decision-theoretic generalization of on-line learning and an application to boosting
9. ImageNet classification with deep convolutional neural networks
10. Random Forests

Their papers

• Trees vs Neurons: Comparison between random forest and ANN for high-resolution prediction of building energy consumption (2017) — 926 citations
• Predictive modelling for solar thermal energy systems: A comparison of support vector regression, random forest, extra trees and regression trees (2018) — 543 citations