Jafar Tanha

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 29

Top Topics

Conformal Prediction

Sample Selection

Supervised Learning

Top Venues

Int. J. Mach. Learn. Cybern.

Publications

Mehdi Nozad Bonab, Jafar Tanha, Mohammad Masdari
A Semi-Supervised Learning Approach to Quality-Based Web Service Classification. IEEE Access 12 (2024)
Amin Golzari Oskouei, Negin Samadi, Jafar Tanha
Feature-weight and cluster-weight learning in fuzzy c-means method for semi-supervised clustering. Appl. Soft Comput. 161 (2024)
Ali Jameel Hashim, M. A. Balafar, Jafar Tanha
NEAE: NeuroEvolution AutoEncoder for anomaly detection in internet traffic data. J. Supercomput. 80 (5) (2024)
Mohammad Saber Iraji, Jafar Tanha, Mohammad Ali Balafar, Mohammad-Reza Feizi-Derakhshi
A novel individual-relational consistency for bad semi-supervised generative adversarial networks (IRC-BSGAN) in image classification and synthesis. Appl. Intell. 54 (20) (2024)
Seyed Ehsan Roshan, Jafar Tanha, Mahdi Zarrin, Alireza Fakhim Babaei, Haniyeh Nikkhah, Zahra Jafari
A deep ensemble medical image segmentation with novel sampling method and loss function. Comput. Biol. Medicine 172 (2024)
Sahar Hassanzadeh Mostafaei, Jafar Tanha, Amir Sharafkhaneh
A novel deep learning model based on transformer and cross modality attention for classification of sleep stages. J. Biomed. Informatics 157 (2024)
Imaneh Khodayari-Samghabadi, Leili Mohammad Khanli, Jafar Tanha
A Fast Multi-Network K-Dependence Bayesian Classifier for Continuous Features. Pattern Recognit. 150 (2024)
Adil Abdullah Abdulhussein Alshawi, Jafar Tanha, Mohammad Ali Balafar
An Attention-Based Convolutional Recurrent Neural Networks for Scene Text Recognition. IEEE Access 12 (2024)
Shirin Khezri, Jafar Tanha, Negin Samadi
An experimental review of the ensemble-based data stream classification algorithms in non-stationary environments. Comput. Electr. Eng. 118 (2024)
Jafar Tanha, Zahra Zarei
The Bombus-terrestris bee optimization algorithm for feature selection. Appl. Intell. 53 (1) (2023)
Seyed Ehsan Roshan, Jafar Tanha, Farzad Hallaji, Mohammadreza Ghanbari
IMBoost: A New Weighting Factor for Boosting to Improve the Classification Performance of Imbalanced Data. Complex. 2023 (2023)
Hadi Alhares, Jafar Tanha, Mohammad Ali Balafar
AMTLDC: a new adversarial multi-source transfer learning framework to diagnosis of COVID-19. Evol. Syst. 14 (6) (2023)
Sahar Hassanzadeh Mostafaei, Jafar Tanha, Amir Sharafkhaneh, Ritwick Agrawal, Zohair Hassanzadeh Mostafaei
Biological Signals for Diagnosing Sleep Stages Using Machine Learning Models. CSICC (2023)
Sahar Hassanzadeh Mostafaei, Jafar Tanha
OUBoost: boosting based over and under sampling technique for handling imbalanced data. Int. J. Mach. Learn. Cybern. 14 (10) (2023)
Bahar Sar-Saifee, Jafar Tanha, Mohammad Aeini
A Hybrid Deep Learning Network for Sentiment Analysis on SemEval-2017 Dataset. CSICC (2023)
Negin Samadi, Jafar Tanha, Sahar Hassanzadeh Mostafaei, Nazila Razzaghi-Asl, Soodabeh Imanzadeh
Spreader node detection based on the Perron-Frobenius theorem in complex networks. CSICC (2022)
Jafar Tanha, Negin Samadi, Yousef Abdi, Nazila Razzaghi-Asl
CPSSDS: Conformal prediction for semi-supervised classification on data streams. Inf. Sci. 584 (2022)
Mohammad Saber Iraji, Jafar Tanha, Mahboobeh Habibinejad
Druggable protein prediction using a multi-canal deep convolutional neural network based on autocovariance method. Comput. Biol. Medicine 151 (Part) (2022)
Shadi Alijani, Jafar Tanha, Leyli Mohammadkhanli
An ensemble of deep learning algorithms for popularity prediction of flickr images. Multim. Tools Appl. 81 (3) (2022)
Mohammad Saber Iraji, Mohammad-Reza Feizi-Derakhshi, Jafar Tanha
COVID-19 Detection Using Deep Convolutional Neural Networks and Binary Differential Algorithm-Based Feature Selection from X-Ray Images. Complex. 2021 (2021)
Mona Emadi, Jafar Tanha, Mohammad Ebrahim Shiri, Mehdi Hosseinzadeh Aghdam
A Selection Metric for semi-supervised learning based on neighborhood construction. Inf. Process. Manag. 58 (2) (2021)
Mohammad Saber Iraji, Mohammad-Reza Feizi-Derakhshi, Jafar Tanha
Deep learning for COVID-19 diagnosis based feature selection using binary differential evolution algorithm. CoRR (2021)
Shirin Khezri, Jafar Tanha, Ali Ahmadi, Arash Sharifi
A novel semi-supervised ensemble algorithm using a performance-based selection metric to non-stationary data streams. Neurocomputing 442 (2021)
Mona Emadi, Jafar Tanha
Margin-Based Semi-supervised Learning Using Apollonius Circle. TTCS (2020)
Jafar Tanha, Yousef Abdi, Negin Samadi, Nazila Razzaghi, Mohammad Asadpour
Boosting methods for multi-class imbalanced data classification: an experimental review. J. Big Data 7 (1) (2020)
Shirin Khezri, Jafar Tanha, Ali Ahmadi, Arash Sharifi
STDS: self-training data streams for mining limited labeled data in non-stationary environment. Appl. Intell. 50 (5) (2020)
Jafar Tanha
A multiclass boosting algorithm to labeled and unlabeled data. Int. J. Mach. Learn. Cybern. 10 (12) (2019)
Jafar Tanha
MSSBoost: A new multiclass boosting to semi-supervised learning. Neurocomputing 314 (2018)
Jafar Tanha, Maarten van Someren, Hamideh Afsarmanesh
Semi-supervised self-training for decision tree classifiers. Int. J. Mach. Learn. Cybern. 8 (1) (2017)
Jafar Tanha, Jesse de Does, Katrien Depuydt
An LDA-based Topic Selection Approach to Language Model Adaptation for Handwritten Text Recognition. RANLP (2015)
Jafar Tanha, Jesse de Does, Katrien Depuydt
Combining higher-order N-grams and intelligent sample selection to improve language modeling for Handwritten Text Recognition. ESANN (2015)
Jafar Tanha, Jesse de Does, Katrien Depuydt, Joan-Andreu Sánchez
Crossing the lines: making optimal use of context in line-based Handwritten Text Recognition. ICDAR (2015)
Jafar Tanha, Jesse de Does, Katrien Depuydt
An Intelligent Sample Selection Approach to Language Model Adaptation for Hand-Written Text Recognition. ICFHR (2014)
Jafar Tanha, Maarten van Someren, Hamideh Afsarmanesh
Boosting for multiclass semi-supervised learning. Pattern Recognit. Lett. 37 (2014)
Jafar Tanha, Mohammad Javad Saberian, Maarten van Someren
Multiclass Semi-Supervised Boosting Using Similarity Learning. ICDM (2013)
Jafar Tanha, Maarten van Someren, Hamideh Afsarmanesh
An AdaBoost Algorithm for Multiclass Semi-supervised Learning. ICDM (2012)
Jafar Tanha, Maarten van Someren, Merijn de Bakker, Willem Bouteny, Judy Shamoun-Baranesy, Hamideh Afsarmanesh
Multiclass Semi-supervised Learning for Animal Behavior Recognition from Accelerometer Data. ICTAI (2012)
Jafar Tanha, Maarten van Someren, Hamideh Afsarmanesh
Disagreement-Based Co-training. ICTAI (2011)
Hamideh Afsarmanesh, Jafar Tanha
A High Level Architecture for Personalized Learning in Collaborative Networks. PRO-VE (2010)