Imran Maqsood

Computer Vision and Pattern Recognition · 2004–2012

A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it

Whom Imran Maqsood trusts overall

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

1. Anders Krogh
2. Zhi-Hua Zhou
3. Jesper Vedelsby
4. J. Zurada
5. Jianxin Wu
6. J. Ross Quinlan
7. Tin Kam Ho

Who trusts Imran Maqsood overall

1. Weizhong Yan
2. Ping Guo
3. Guohe Huang
4. Li He

Papers from Imran Maqsood's perspective

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

1. Neural Networks for Pattern Recognition
2. Random Forests
3. C4.5: Programs for Machine Learning
4. The Random Subspace Method for Constructing Decision Forests
5. Shape Quantization and Recognition with Randomized Trees
6. Image Classification using Random Forests and Ferns (IEEE International Conference on Computer Vision)
7. Semantic texton forests for image categorization and segmentation
8. Neural Network Ensembles, Cross Validation, and Active Learning
9. Ensembling neural networks: Many could be better than all
10. Evolutionary ensembles with negative correlation learning (IEEE Transactions on Evolutionary Computation)

Their papers

• An ensemble of neural networks for weather forecasting (2004) — 363 citations
• Random Forests and Decision Trees (2012) — 841 citations
• An interval-parameter two-stage stochastic integer programming model for environmental systems planning under uncertainty (2006) — 62 citations
• An inexact two-stage mixed integer linear programming model for waste management under uncertainty (2004) — 47 citations