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Publication search results
found 20 matches
- 2020
- Rahul Jha, Keping Bi, Yang Li, Mahdi Pakdaman, Asli Celikyilmaz, Ivan Zhiboedov, Kieran McDonald:
Artemis: A Novel Annotation Methodology for Indicative Single Document Summarization. Eval4NLP 2020: 69-78 - Rahul Jha, Keping Bi, Yang Li, Mahdi Pakdaman, Asli Celikyilmaz, Ivan Zhiboedov, Kieran McDonald:
Artemis: A Novel Annotation Methodology for Indicative Single Document Summarization. CoRR abs/2005.02146 (2020) - 2018
- Mahdi Pakdaman Naeini
, Gregory F. Cooper:
Binary classifier calibration using an ensemble of piecewise linear regression models. Knowl. Inf. Syst. 54(1): 151-170 (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): 371-381 (2018) - 2017
- Fattaneh Jabbari, Mahdi Pakdaman Naeini, Gregory F. Cooper:
Obtaining Accurate Probabilistic Causal Inference by Post-Processing Calibration. CoRR abs/1712.08626 (2017) - 2016
- Mahdi Pakdaman Naeini, Gregory F. Cooper:
Binary Classifier Calibration Using an Ensemble of Near Isotonic Regression Models. ICDM 2016: 360-369 - Mahdi Pakdaman Naeini, Gregory F. Cooper:
Binary Classifier Calibration Using an Ensemble of Linear Trend Estimation. SDM 2016: 261-269 - 2015
- Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht:
Obtaining Well Calibrated Probabilities Using Bayesian Binning. AAAI 2015: 2901-2907 - Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht:
Binary Classifier Calibration Using a Bayesian Non-Parametric Approach. SDM 2015: 208-216 - Mahdi Pakdaman Naeini, Gregory F. Cooper:
Binary Classifier Calibration using an Ensemble of Near Isotonic Regression Models. CoRR abs/1511.05191 (2015) - 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: 73-82 (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: 992-1000 - Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht:
Binary Classifier Calibration: Bayesian Non-Parametric Approach. CoRR abs/1401.2955 (2014) - Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht:
Binary Classifier Calibration: Non-parametric approach. CoRR abs/1401.3390 (2014) - Avneesh Saluja, Mahdi Pakdaman, Dongzhen Piao, Ankur P. Parikh:
Infinite Mixed Membership Matrix Factorization. CoRR abs/1401.3413 (2014) - 2013
- Avneesh Saluja, Mahdi Pakdaman, Dongzhen Piao, Ankur P. Parikh:
Infinite Mixed Membership Matrix Factorization. ICDM Workshops 2013: 800-807 - 2011
- Sohrab Effati
, Morteza Pakdaman
, Mahdi Ranjbar
:
A new fuzzy neural network model for solving fuzzy linear programming problems and its applications. Neural Comput. Appl. 20(8): 1285-1294 (2011) - Hamid Reza Taremian, Mahdi Pakdaman Naeini:
Hybrid Intelligent Decision Support System for credit risk assessment. IAS 2011: 167-172 - 2010
- Mahdi Pakdaman Naeini, Hamid Reza Taremian, Homa Baradaran Hashemi:
Stock market value prediction using neural networks. CISIM 2010: 132-136 - 2009
- Homa Baradaran Hashemi, Azadeh Shakery, Mahdi Pakdaman Naeini:
Protein Fold Pattern Recognition Using Bayesian Ensemble of RBF Neural Networks. SoCPaR 2009: 436-441
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