A High Level Architecture for Personalized Learning in Collaborative Networks. - Hamideh Afsarmanesh; Jafar Tanha (PRO-VE, 2010)

Disagreement-Based Co-training. - Jafar Tanha; Maarten van Someren; Hamideh Afsarmanesh (ICTAI, 2011)

An AdaBoost Algorithm for Multiclass Semi-supervised Learning. - Jafar Tanha; Maarten van Someren; Hamideh Afsarmanesh (ICDM, 2012)

Multiclass Semi-supervised Learning for Animal Behavior Recognition from Accelerometer Data. - Jafar Tanha; Maarten van Someren; Merijn de Bakker; Willem Bouten; Judy Shamoun-Baranes; Hamideh Afsarmanesh (ICTAI, 2012)

Multiclass Semi-Supervised Boosting Using Similarity Learning. - Jafar Tanha; Mohammad Javad Saberian; Maarten van Someren (ICDM, 2013)

An Intelligent Sample Selection Approach to Language Model Adaptation for Hand-Written Text Recognition. - Jafar Tanha; Jesse de Does; Katrien Depuydt (ICFHR, 2014)

Boosting for multiclass semi-supervised learning. - Jafar Tanha; Maarten van Someren; Hamideh Afsarmanesh (Pattern Recognit. Lett., 2014)

Combining higher-order N-grams and intelligent sample selection to improve language modeling for Handwritten Text Recognition. - Jafar Tanha; Jesse de Does; Katrien Depuydt (ESANN, 2015)

Crossing the lines: making optimal use of context in line-based Handwritten Text Recognition. - Jafar Tanha; Jesse de Does; Katrien Depuydt; Joan-Andreu Sánchez (ICDAR, 2015)

An LDA-based Topic Selection Approach to Language Model Adaptation for Handwritten Text Recognition. - Jafar Tanha; Jesse de Does; Katrien Depuydt (RANLP, 2015)

Semi-supervised self-training for decision tree classifiers. - Jafar Tanha; Maarten van Someren; Hamideh Afsarmanesh (Int. J. Mach. Learn. Cybern., 2017)

MSSBoost: A new multiclass boosting to semi-supervised learning. - Jafar Tanha (Neurocomputing, 2018)

A multiclass boosting algorithm to labeled and unlabeled data. - Jafar Tanha (Int. J. Mach. Learn. Cybern., 2019)

Margin-Based Semi-supervised Learning Using Apollonius Circle. - Mona Emadi; Jafar Tanha (TTCS, 2020)

STDS: self-training data streams for mining limited labeled data in non-stationary environment. - Shirin Khezri; Jafar Tanha; Ali Ahmadi; Arash Sharifi (Appl. Intell., 2020)

Boosting methods for multi-class imbalanced data classification: an experimental review. - Jafar Tanha; Yousef Abdi; Negin Samadi; Nazila Razzaghi; Mohammad Asadpour (J. Big Data, 2020)

COVID-19 Detection Using Deep Convolutional Neural Networks and Binary Differential Algorithm-Based Feature Selection from X-Ray Images. - Mohammad Saber Iraji; Mohammad-Reza Feizi-Derakhshi; Jafar Tanha (Complex., 2021)

Deep learning for COVID-19 diagnosis based feature selection using binary differential evolution algorithm. - Mohammad Saber Iraji; Mohammad-Reza Feizi-Derakhshi; Jafar Tanha (CoRR, 2021)

A novel semi-supervised ensemble algorithm using a performance-based selection metric to non-stationary data streams. - Shirin Khezri; Jafar Tanha; Ali Ahmadi; Arash Sharifi (Neurocomputing, 2021)

A Selection Metric for semi-supervised learning based on neighborhood construction. - Mona Emadi; Jafar Tanha; Mohammad Ebrahim Shiri; Mehdi Hosseinzadeh Aghdam (Inf. Process. Manag., 2021)

Spreader node detection based on the Perron-Frobenius theorem in complex networks. - Negin Samadi; Jafar Tanha; Sahar Hassanzadeh Mostafaei; Nazila Razzaghi-Asl; Soodabeh Imanzadeh (CSICC, 2022)

Druggable protein prediction using a multi-canal deep convolutional neural network based on autocovariance method. - Mohammad Saber Iraji; Jafar Tanha; Mahboobeh Habibinejad (Comput. Biol. Medicine, 2022)

CPSSDS: Conformal prediction for semi-supervised classification on data streams. - Jafar Tanha; Negin Samadi; Yousef Abdi; Nazila Razzaghi-Asl (Inf. Sci., 2022)

An ensemble of deep learning algorithms for popularity prediction of flickr images. - Shadi Alijani; Jafar Tanha; Leyli Mohammadkhanli (Multim. Tools Appl., 2022)

Biological Signals for Diagnosing Sleep Stages Using Machine Learning Models. - Sahar Hassanzadeh Mostafaei; Jafar Tanha; Amir Sharafkhaneh; Ritwick Agrawal; Zohair Hassanzadeh Mostafaei (CSICC, 2023)

A Hybrid Deep Learning Network for Sentiment Analysis on SemEval-2017 Dataset. - Bahar Sar-Saifee; Jafar Tanha; Mohammad Aeini (CSICC, 2023)

The Bombus-terrestris bee optimization algorithm for feature selection. - Jafar Tanha; Zahra Zarei (Appl. Intell., 2023)

IMBoost: A New Weighting Factor for Boosting to Improve the Classification Performance of Imbalanced Data. - Seyed Ehsan Roshan; Jafar Tanha; Farzad Hallaji; Mohammadreza Ghanbari (Complex., 2023)

OUBoost: boosting based over and under sampling technique for handling imbalanced data. - Sahar Hassanzadeh Mostafaei; Jafar Tanha (Int. J. Mach. Learn. Cybern., 2023)

AMTLDC: a new adversarial multi-source transfer learning framework to diagnosis of COVID-19. - Hadi Alhares; Jafar Tanha; Mohammad Ali Balafar (Evol. Syst., 2023)

An Attention-Based Convolutional Recurrent Neural Networks for Scene Text Recognition. - Adil Abdullah Abdulhussein Alshawi; Jafar Tanha; Mohammad Ali Balafar (IEEE Access, 2024)

A Semi-Supervised Learning Approach to Quality-Based Web Service Classification. - Mehdi Nozad Bonab; Jafar Tanha; Mohammad Masdari (IEEE Access, 2024)

Adaptive deep learning models for efficient multivariate anomaly detection in IoT infrastructures. - Ali Jameel Hashim; M. A. Balafar; Jafar Tanha; Aryaz Baradarani (Appl. Soft Comput., 2024)

Feature-weight and cluster-weight learning in fuzzy c-means method for semi-supervised clustering. - Amin Golzari Oskouei; Negin Samadi; Jafar Tanha (Appl. Soft Comput., 2024)

A deep ensemble medical image segmentation with novel sampling method and loss function. - Seyed Ehsan Roshan; Jafar Tanha; Mahdi Zarrin; Alireza Fakhim Babaei; Haniyeh Nikkhah; Zahra Jafari (Comput. Biol. Medicine, 2024)

An experimental review of the ensemble-based data stream classification algorithms in non-stationary environments. - Shirin Khezri; Jafar Tanha; Negin Samadi (Comput. Electr. Eng., 2024)

Modeling Chandy-Lamport Distributed Snapshot Algorithm Using Colored Petri Net. - Saeid Pashazadeh; Basheer Zuhair Jaafar Al-Basseer; Jafar Tanha (IET Softw., 2024)

A novel deep learning model based on transformer and cross modality attention for classification of sleep stages. - Sahar Hassanzadeh Mostafaei; Jafar Tanha; Amir Sharafkhaneh (J. Biomed. Informatics, 2024)

A Fast Multi-Network K-Dependence Bayesian Classifier for Continuous Features. - Imaneh Khodayari-Samghabadi; Leili Mohammad Khanli; Jafar Tanha (Pattern Recognit., 2024)

SSFCM-FWCW: Semi-Supervised Fuzzy C-Means method based on Feature-Weight and Cluster-Weight learning. - Amin Golzari Oskouei; Negin Samadi; Jafar Tanha; Asgarali Bouyer (Softw. Impacts, 2024)

NEAE: NeuroEvolution AutoEncoder for anomaly detection in internet traffic data. - Ali Jameel Hashim; M. A. Balafar; Jafar Tanha (J. Supercomput., 2024)

A novel individual-relational consistency for bad semi-supervised generative adversarial networks (IRC-BSGAN) in image classification and synthesis. - Mohammad Saber Iraji; Jafar Tanha; Mohammad Ali Balafar; Mohammad-Reza Feizi-Derakhshi (Appl. Intell., 2024)

Image classification with consistency-regularized bad semi-supervised generative adversarial networks: a visual data analysis and synthesis. - Mohammad Saber Iraji; Jafar Tanha; Mohammad Ali Balafar; Mohammad-Reza Feizi-Derakhshi (Vis. Comput., 2024)

A novel interpolation consistency for bad generative adversarial networks (IC-BGAN). - Mohammad Saber Iraji; Jafar Tanha; Mohammad Ali Balafar; Mohammad-Reza Feizi-Derakhshi (Multim. Tools Appl., 2024)

Ensemble of deep learning techniques to human activity recognition using smart phone signals. - Soodabeh Imanzadeh; Jafar Tanha; Mahdi Jalili (Multim. Tools Appl., 2024)

A Novel Multimodal Deep Learning Approach With Loss Function for Detection of Sleep Apnea Events. - Alireza Fakhim Babaei; Jafar Tanha; Mohammad Ali Balafar; Seyed Ehsan Roshan (IEEE Access, 2025)

Corrections to "A Semi-Supervised Learning Approach to Quality-Based Web Service Classification". - Mehdi Nozad Bonab; Jafar Tanha; Mohammad Masdari (IEEE Access, 2025)

Viewpoint-Based Collaborative Feature-Weighted Multi-View Intuitionistic Fuzzy Clustering Using Neighborhood Information. - Amin Golzari Oskouei; Negin Samadi; Jafar Tanha; Asgarali Bouyer; Bahman Arasteh (Neurocomputing, 2025)

Graph theory-based semi-supervised self-training for data stream classification and emerging class detection. - Negin Samadi; Jafar Tanha; Mahdi Jalili (Inf. Sci., 2025)

A Weighted Semi-supervised Possibilistic Fuzzy c-Means algorithm for data stream classification and emerging class detection. - Negin Samadi; Jafar Tanha; Mahdi Jalili (Knowl. Based Syst., 2025)

VCoFWMVIFCM: An open-source code for viewpoint-based collaborative feature-weighted multi-view intuitionistic fuzzy clustering. - Amin Golzari Oskouei; Negin Samadi; Asgarali Bouyer; Jafar Tanha (Softw. Impacts, 2025)

AEVAE: Adaptive Evolutionary Autoencoder for Anomaly Detection in Time Series. - Ali Jameel Hashim; M. A. Balafar; Jafar Tanha; Aryaz Baradarani (IEEE Trans. Neural Networks Learn. Syst., 2025)

SSSA: low data sentiment analysis using boosting semi-supervised approach and deep feature learning network. - Shima Rashidi; Jafar Tanha; Arash Sharifi; Mehdi Hosseinzadeh 001 (Appl. Intell., 2025)

EnsembleSleepNet: a novel ensemble deep learning model based on transformers and attention mechanisms using multimodal data for sleep stages classification. - Sahar Hassanzadeh Mostafaei; Jafar Tanha; Amir Sharafkhaneh (Appl. Intell., 2025)

YM-WML: A new Yolo-based segmentation Model with Weighted Multi-class Loss for medical imaging. - Haniyeh Nikkhah; Jafar Tanha; Mahdi Zarrin; Seyed Ehsan Roshan; Amin Kazempour (CoRR, 2025)