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Mahdi Pakdaman
Mahdi Pakdaman
Applied Scientist, Microsoft
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Obtaining well calibrated probabilities using bayesian binning
MP Naeini, G Cooper, M Hauskrecht
Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015
13962015
Stock market value prediction using neural networks
MP Naeini, H Taremian, HB Hashemi
2010 international conference on computer information systems and industrial …, 2010
2082010
Binary classifier calibration using an ensemble of near isotonic regression models
MP Naeini, GF Cooper
2016 IEEE 16th International Conference on Data Mining (ICDM), 360-369, 2016
612016
PhenoLines: Phenotype Comparison Visualizations for Disease Subtyping via Topic Models
MB Michael Glueck,Mahdi Pakdaman Naeini,Finale Doshi-Velez,Fanny Chevalier ...
IEEE Transactions on Visualization and Computer Graphics, 2017
38*2017
Binary Classifier Calibration Using a Bayesian Non-Parametric Approach
MP Naeini, GF Cooper, M Hauskrecht
SIAM-SDM, 2015
312015
Protein fold pattern recognition using Bayesian ensemble of RBF neural networks
HB Hashemi, A Shakery, MP Naeini
2009 International Conference of Soft Computing and Pattern Recognition, 436-441, 2009
252009
Application of ensemble models in web ranking
HB Hashemi, N Yazdani, A Shakery, MP Naeini
2010 5th International Symposium on Telecommunications, 726-731, 2010
212010
Binary Classifier Calibration using an Ensemble of Piecewise Linear Regression Models
MP Naeini, GF Cooper
Knowledge and Information Systems, 2017
20*2017
Learning by abstraction: Hierarchical classification model using evidential theoretic approach and Bayesian ensemble model
MP Naeini, B Moshiri, BN Araabi, M Sadeghi
Neurocomputing 130, 73-82, 2014
132014
Binary classifier calibration: Non-parametric approach
MP Naeini, GF Cooper, M Hauskrecht
arXiv preprint arXiv:1401.3390, 2014
112014
Obtaining accurate probabilities using classifier calibration
MP Naeini, GF Cooper, M Hauskrecht
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence …, 2017
82017
Binary classifier calibration using an ensemble of linear trend estimation
MP Naeini, GF Cooper
Proceedings of the 2016 SIAM International Conference on Data Mining, 261-269, 2016
82016
Obtaining Accurate Probabilistic Causal Inference by Post-Processing Calibration
F Jabbari, MP Naeini, GF Cooper
NIPS'17 "What If? What Next?" Workshop, 2017
52017
Hybrid intelligent decision support system for credit risk assessment
HR Taremian, MP Naeini
2011 7th International Conference on Information Assurance and Security (IAS …, 2011
42011
An Assessment of the Calibration of Causal Relationships Learned Using RFCI and Bootstrapping
MP Naeini, F Jabbari, GF Cooper
4th Workshop on Data Mining for Medical Informatics: Causal Inference for …, 2017
22017
An optimization-based framework to learn conditional random fields for multi-label classification
MP Naeini, I Batal, Z Liu, C Hong, M Hauskrecht
Proceedings of the 2014 SIAM International Conference on Data Mining, 992-1000, 2014
22014
Infinite mixed membership matrix factorization
A Saluja, M Pakdaman, D Piao, AP Parikh
2013 IEEE 13th international conference on data mining workshops, 800-807, 2013
12013
OBTAINING ACCURATE PROBABILITIES USING CLASSIFIER CALIBRATION
M Pakdaman Naeini
University of Pittsburgh, 2017
2017
Binary Classifier Calibration using an Ensemble of Near Isotonic Regression Models
M Pakdaman Naeini, GF Cooper
arXiv e-prints, arXiv: 1511.05191, 2015
2015
Binary Classifier Calibration: Bayesian Non-Parametric Approach
M Pakdaman Naeini, GF Cooper, M Hauskrecht
arXiv e-prints, arXiv: 1401.2955, 2014
2014
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