M. Dholakia
Management, Monitoring, Policy and Law · 2016–2017
A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Management, Monitoring, Policy and Law — 36 citations into it; #678 of 2,821 by trust here, #286 by citations
- Global and Planetary Change — 26 citations into it; #7,724 of 10,225 by trust here, #5,068 by citations
- Safety, Risk, Reliability and Quality — 21 citations into it
- Mechanical Engineering — 13 citations into it; #2,040 of 8,300 by trust here, #2,209 by citations
- Artificial Intelligence — 9 citations into it; #25,807 of 35,345 by trust here, #12,387 by citations
- Statistics and Probability — 6 citations into it
Whom M. Dholakia trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts M. Dholakia overall
Papers from M. Dholakia's perspective
Ordered by how strongly the researchers M. Dholakia trusts endorse each paper. Same corpus, a different order for every researcher.
- Landslide susceptibility mapping using support vector machine and GIS at the Golestan Province, Iran (Proceedings of the Indian Academy of Sciences, Earth and Planetary Sciences)
- Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling (Environmental Modelling & Software)
- Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression (Landslides)
- Correlation-based Feature Selection for Machine Learning
- Artificial neural networks: fundamentals, computing, design, and application.
- Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes.
- Application of an evidential belief function model in landslide susceptibility mapping (Computational Geosciences)
- Landslide susceptibility mapping : A comparison of logistic regression and neural networks methods in a medium scale study, Hendek Region (Turkey)
- Bayesian Network Classifiers
- Landslide Susceptibility Assessment in Vietnam Using Support Vector Machines, Decision Tree, and Naïve Bayes Models
Their papers
- Hybrid integration of Multilayer Perceptron Neural Networks and machine learning ensembles for landslide susceptibility assessment at Himalayan area (India) using GIS (2017) — 577 citations
- Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of naïve bayes, multilayer perceptron neural networks, and functional trees methods (2017) — 364 citations
- A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India) (2016) — 499 citations