Jafar Tanha

发表

Boosting methods for multi-class imbalanced data classification: an experimental review

Jafar Tanha, Yousef Abdi, Negin Samadi, 2020, J. Big Data.

Boosting for multiclass semi-supervised learning

Hamideh Afsarmanesh, Jafar Tanha, Maarten van Someren, 2014, Pattern Recognit. Lett..

A High Level Architecture for Personalized Learning in Collaborative Networks

Hamideh Afsarmanesh, Jafar Tanha, 2010, PRO-VE.

Semi-supervised self-training for decision tree classifiers

Hamideh Afsarmanesh, Jafar Tanha, Maarten van Someren, 2017, Int. J. Mach. Learn. Cybern..

A multiclass boosting algorithm to labeled and unlabeled data

Jafar Tanha, J. Tanha, 2019, Int. J. Mach. Learn. Cybern..

Margin-Based Semi-supervised Learning Using Apollonius Circle

Jafar Tanha, Mona Emadi, J. Tanha, 2020, TTCS.

Providing a comprehensive knowledge management model

Jafar Tanha, Elham Majd, Davod Karimzadegan, 2011 .

Analog fault detection using RBF neural networks

Jafar Tanha, Mahdi Yusefkhani, Naser Aayat, 2005 .

An LDA-based Topic Selection Approach to Language Model Adaptation for Handwritten Text Recognition

Jafar Tanha, Jesse de Does, Katrien Depuydt, 2015, RANLP.

Multiclass Semi-supervised Learning for Animal Behavior Recognition from Accelerometer Data

Hamideh Afsarmanesh, Jafar Tanha, Maarten van Someren, 2012, 2012 IEEE 24th International Conference on Tools with Artificial Intelligence.

Combining higher-order N-grams and intelligent sample selection to improve language modeling for Handwritten Text Recognition

Jafar Tanha, Jesse de Does, Katrien Depuydt, 2015, ESANN.

Ensemble approaches to semi-supervised learning

Jafar Tanha, J. Tanha, 2013 .

Combination of Ant Colony Optimization and Bayesian Classification for Feature Selection in a Bioinformatics Dataset

Jafar Tanha, Mohammad Ehsan Basiri, Ahmad Reza Naghsh-Nilchi, 2009, Journal of Computer Science & Systems Biology.

Disagreement-Based Co-training

Hamideh Afsarmanesh, Jafar Tanha, Maarten van Someren, 2011, 2011 IEEE 23rd International Conference on Tools with Artificial Intelligence.

Crossing the lines: making optimal use of context in line-based Handwritten Text Recognition

Jafar Tanha, Joan-Andreu Sánchez, Jesse de Does, 2015, 2015 13th International Conference on Document Analysis and Recognition (ICDAR).

Multiclass Semi-Supervised Boosting Using Similarity Learning

Jafar Tanha, Maarten van Someren, Mohammad J. Saberian, 2013, 2013 IEEE 13th International Conference on Data Mining.

An Intelligent Sample Selection Approach to Language Model Adaptation for Hand-Written Text Recognition

Jafar Tanha, Jesse de Does, Katrien Depuydt, 2014, 2014 14th International Conference on Frontiers in Handwriting Recognition.

MSSBoost: A new multiclass boosting to semi-supervised learning

Jafar Tanha, J. Tanha, 2018, Neurocomputing.

Ensemble-training: ensemble based co-training

Hamideh Afsarmanesh, Jafar Tanha, M. van Someren, 2011 .

An AdaBoost Algorithm for Multiclass Semi-supervised Learning

Hamideh Afsarmanesh, Jafar Tanha, Maarten van Someren, 2012, 2012 IEEE 12th International Conference on Data Mining.

COVID-19 Detection Using Deep Convolutional Neural Networks and Binary Differential Algorithm-Based Feature Selection from X-Ray Images

Jafar Tanha, Mohammad-Reza Feizi-Derakhshi, Mohammad Saber Iraji, 2021, Complexity.

A hybrid semi-supervised boosting to sentiment analysis

Jafar Tanha, Ahmad Farahi, Solmaz Mahmudyan, 2021 .

CPSSDS: Conformal prediction for semi-supervised classification on data streams

Jafar Tanha, Yousef Abdi, Negin Samadi, 2021, Inf. Sci..

A Selection Metric for semi-supervised learning based on neighborhood construction

Jafar Tanha, Mohammad Ebrahim Shiri, Mehdi Hosseinzadeh Aghdam, 2021, Inf. Process. Manag..

Deep learning for COVID-19 diagnosis based feature selection using binary differential evolution algorithm pdf

Jafar Tanha, Mohammad-Reza Feizi-Derakhshi, Mohammad Saber Iraji, 2021, ArXiv.

A novel semi-supervised ensemble algorithm using a performance-based selection metric to non-stationary data streams

Jafar Tanha, Arash Sharifi, Shirin Khezri, 2021, Neurocomputing.