Mahdi Pakdaman Naeini

Publication Activity (10 Years)

Years Active: 2009-2018
Publications (10 Years): 5

Top Topics

Linear Regression Models

Naive Bayes Nearest Neighbor

Obtaining Accurate

Classifier Ensemble

Top Venues

Knowl. Inf. Syst.

Publications

Mahdi Pakdaman Naeini, Gregory F. Cooper
Binary classifier calibration using an ensemble of piecewise linear regression models. Knowl. Inf. Syst. 54 (1) (2018)
Michael Glueck, Mahdi Pakdaman Naeini, Finale Doshi-Velez, Fanny Chevalier, Azam Khan, Daniel Wigdor, Michael Brudno
PhenoLines: Phenotype Comparison Visualizations for Disease Subtyping via Topic Models. IEEE Trans. Vis. Comput. Graph. 24 (1) (2018)
Fattaneh Jabbari, Mahdi Pakdaman Naeini, Gregory F. Cooper
Obtaining Accurate Probabilistic Causal Inference by Post-Processing Calibration. CoRR (2017)
Mahdi Pakdaman Naeini, Gregory F. Cooper
Binary Classifier Calibration Using an Ensemble of Near Isotonic Regression Models. ICDM (2016)
Mahdi Pakdaman Naeini, Gregory F. Cooper
Binary Classifier Calibration Using an Ensemble of Linear Trend Estimation. SDM (2016)
Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht
Obtaining Well Calibrated Probabilities Using Bayesian Binning. AAAI (2015)
Mahdi Pakdaman Naeini, Gregory F. Cooper
Binary Classifier Calibration using an Ensemble of Near Isotonic Regression Models. CoRR (2015)
Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht
Binary Classifier Calibration Using a Bayesian Non-Parametric Approach. SDM (2015)
Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht
Binary Classifier Calibration: Bayesian Non-Parametric Approach. CoRR (2014)
Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht
Binary Classifier Calibration: Non-parametric approach. CoRR (2014)
Mahdi Pakdaman Naeini, Iyad Batal, Zitao Liu, Charmgil Hong, Milos Hauskrecht
An Optimization-based Framework to Learn Conditional Random Fields for Multi-label Classification. SDM (2014)
Mahdi Pakdaman Naeini, Behzad Moshiri, Babak Nadjar Araabi, Mehdi Sadeghi
Learning by abstraction: Hierarchical classification model using evidential theoretic approach and Bayesian ensemble model. Neurocomputing 130 (2014)
Hamid Reza Taremian, Mahdi Pakdaman Naeini
Hybrid Intelligent Decision Support System for credit risk assessment. IAS (2011)
Mahdi Pakdaman Naeini, Hamid Reza Taremian, Homa Baradaran Hashemi
Stock market value prediction using neural networks. CISIM (2010)
Homa Baradaran Hashemi, Azadeh Shakery, Mahdi Pakdaman Naeini
Protein Fold Pattern Recognition Using Bayesian Ensemble of RBF Neural Networks. SoCPaR (2009)