Jafar Tanha

Orcid: 0000-0002-0779-6027

According to our database1, Jafar Tanha authored at least 32 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
NEAE: NeuroEvolution AutoEncoder for anomaly detection in internet traffic data.
J. Supercomput., March, 2024

An Attention-Based Convolutional Recurrent Neural Networks for Scene Text Recognition.
IEEE Access, 2024

2023
AMTLDC: a new adversarial multi-source transfer learning framework to diagnosis of COVID-19.
Evol. Syst., December, 2023

OUBoost: boosting based over and under sampling technique for handling imbalanced data.
Int. J. Mach. Learn. Cybern., October, 2023

IMBoost: A New Weighting Factor for Boosting to Improve the Classification Performance of Imbalanced Data.
Complex., 2023

The Bombus-terrestris bee optimization algorithm for feature selection.
Appl. Intell., 2023

A Hybrid Deep Learning Network for Sentiment Analysis on SemEval-2017 Dataset.
Proceedings of the 28th International Computer Conference, Computer Society of Iran, 2023

Biological Signals for Diagnosing Sleep Stages Using Machine Learning Models.
Proceedings of the 28th International Computer Conference, Computer Society of Iran, 2023

2022
An ensemble of deep learning algorithms for popularity prediction of flickr images.
Multim. Tools Appl., 2022

CPSSDS: Conformal prediction for semi-supervised classification on data streams.
Inf. Sci., 2022

Druggable protein prediction using a multi-canal deep convolutional neural network based on autocovariance method.
Comput. Biol. Medicine, 2022

Spreader node detection based on the Perron-Frobenius theorem in complex networks.
Proceedings of the 27th International Computer Conference, Computer Society of Iran, 2022

2021
A Selection Metric for semi-supervised learning based on neighborhood construction.
Inf. Process. Manag., 2021

A novel semi-supervised ensemble algorithm using a performance-based selection metric to non-stationary data streams.
Neurocomputing, 2021

Deep learning for COVID-19 diagnosis based feature selection using binary differential evolution algorithm.
CoRR, 2021

COVID-19 Detection Using Deep Convolutional Neural Networks and Binary Differential Algorithm-Based Feature Selection from X-Ray Images.
Complex., 2021

2020
Boosting methods for multi-class imbalanced data classification: an experimental review.
J. Big Data, 2020

STDS: self-training data streams for mining limited labeled data in non-stationary environment.
Appl. Intell., 2020

Margin-Based Semi-supervised Learning Using Apollonius Circle.
Proceedings of the Topics in Theoretical Computer Science, 2020

2019
A multiclass boosting algorithm to labeled and unlabeled data.
Int. J. Mach. Learn. Cybern., 2019

2018
MSSBoost: A new multiclass boosting to semi-supervised learning.
Neurocomputing, 2018

2017
Semi-supervised self-training for decision tree classifiers.
Int. J. Mach. Learn. Cybern., 2017

2015
An LDA-based Topic Selection Approach to Language Model Adaptation for Handwritten Text Recognition.
Proceedings of the Recent Advances in Natural Language Processing, 2015

Crossing the lines: making optimal use of context in line-based Handwritten Text Recognition.
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015

Combining higher-order N-grams and intelligent sample selection to improve language modeling for Handwritten Text Recognition.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

2014
Boosting for multiclass semi-supervised learning.
Pattern Recognit. Lett., 2014

An Intelligent Sample Selection Approach to Language Model Adaptation for Hand-Written Text Recognition.
Proceedings of the 14th International Conference on Frontiers in Handwriting Recognition, 2014

2013
Multiclass Semi-Supervised Boosting Using Similarity Learning.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Multiclass Semi-supervised Learning for Animal Behavior Recognition from Accelerometer Data.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

An AdaBoost Algorithm for Multiclass Semi-supervised Learning.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011
Disagreement-Based Co-training.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

2010
A High Level Architecture for Personalized Learning in Collaborative Networks.
Proceedings of the Collaborative Networks for a Sustainable World, 2010


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