Mahdi Pakdaman Naeini

Author

University of Tehran ORCID

Also Known As

Mahdi Pakdaman Naeini, Mahdi Pakdaman Naeini, Naeini, Mahdi Pakdaman

Publications

1.2K

Citations

H-Index

Concepts

All Affiliations

University of Tehran University of Pittsburgh

About

Mahdi Pakdaman Naeini is an author at University of Tehran specializing in engineering, machine learning, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	7	7	1.1K
2	Business	1	1	142
3	Management	1	1	903
4	Medicine	1	1	17
5	Public Health	1	1	32

Mahdi Pakdaman Naeini

Publications

1.2K

Citations

H-Index

Page 1

	Year	Citations
Obtaining Well Calibrated Probabilities Using Bayesian Binning Mahdi Pakdaman Naeini, Gregory Cooper, Miloš Hauskrecht Proceedings of the AAAI Conference on Artificial Intelligence Artificial IntelligenceBayesian StatisticEngineeringMachine LearningProbabilistic Learning	2015	903
Stock market value prediction using neural networks Mahdi Pakdaman Naeini, Hamidreza Taremian, Homa B. Hashemi EngineeringMachine LearningAsset PricingBusinessMlp Neural Network	2010	142
PhenoLines: Phenotype Comparison Visualizations for Disease Subtyping via Topic Models Michael Glueck, Mahdi Pakdaman Naeini, Finale Doshi‐Velez, IEEE Transactions on Visualization and Computer Graphics EngineeringDisease MappingPhenotype Comparison VisualizationsDisease ClassificationData Science	2017	32
Binary classifier calibration using an ensemble of piecewise linear regression models Mahdi Pakdaman Naeini, Gregory F. Cooper Knowledge and Information Systems Binary Classifier CalibrationEngineeringMachine LearningData SciencePattern Recognition	2017	21
Binary Classifier Calibration Using a Bayesian Non-Parametric Approach Mahdi Pakdaman Naeini, Gregory F. Cooper, Miloš Hauskrecht	2015	18
Application of ensemble models in web ranking Homa B. Hashemi, Nasser Yazdani, Azadeh Shakery, Ranking AlgorithmEngineeringMachine LearningIntelligent Information RetrievalLearning To Rank	2010	17
Protein Fold Pattern Recognition Using Bayesian Ensemble of RBF Neural Networks Homa B. Hashemi, Azadeh Shakery, Mahdi Pakdaman Naeini EngineeringMachine LearningMolecular BiologyGene RecognitionCorrect Classification Rate	2009	17
Learning by abstraction: Hierarchical classification model using evidential theoretic approach and Bayesian ensemble model Mahdi Pakdaman Naeini, Behzad Moshiri, Babak Nadjar Araabi, Neurocomputing Hierarchical Classification ModelEngineeringMachine LearningData ScienceData Mining	2013	14

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