Jafar Tanha

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Negin SamadiPhD candidate in AI, University of TabrizEmail verificata su tabrizu.ac.ir
Hamideh AfsarmaneshProfessor of Computer Science, University of AmsterdamEmail verificata su uva.nl
Maarten van SomerenInformatica Instituut, Universiteit van AmsterdamEmail verificata su uva.nl
Mohammad Ali Balafarprof of IT University of TabrizEmail verificata su tabrizu.ac.ir
Mohammad AsadpourAssociate Professor, Faculty of Electrical and Computer Engineering, university of TabrizEmail verificata su tabrizu.ac.ir
Sahar Hassanzadeh MostafaeiPhD in AI, University of TabrizEmail verificata su tabrizu.ac.ir
Mohammad-Reza Feizi-DerakhshiFull Professor of Artificial Intelligence, Department of Computer Engineering, University of TabrizEmail verificata su tabrizu.ac.ir
Shirin KhezriPhD in Artificial Intelligence-Payame Noor University Faculty memberEmail verificata su pnu.ac.ir
Arash SharifiAssistant Professor, SRBIAUEmail verificata su srbiau.ac.ir
Mehdi Hosseinzadeh AghdamDepartment of Computer Engineering, University of BonabEmail verificata su ubonab.ac.ir
Ali AhmadiAdjunt Faculty in York University ; Associate Professor in K. N.Toosi University of TechnologyEmail verificata su ieee.org
Luis M. Camarinha-MatosFull Professor, Nova University of Lisbon, CTS-Center of Technology and Systems / UNINOVAEmail verificata su uninova.pt
Mehdi AzarafzaM.Sc. Artificial IntelligenceEmail verificata su hshl.de
Mohammad AzarafzaDepartment of Civil Engineering, University of TabrizEmail verificata su sci.ui.ac.ir
mona emadiPayeme Noor UniversityEmail verificata su pnu.ac.ir
Mohammad Ehsan BasiriAssociate Professor of Artificial Intelligence, Shahrekord UniversityEmail verificata su eng.sku.ac.ir
Mozaffar Aznabkermanshah university of medical sciencesEmail verificata su kums.ac.ir
Mohammad SaberianNetflixEmail verificata su netflix.com

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Jafar Tanha

University of Amsterdam

Email verificata su tabrizu.ac.ir - Home page

Pattern recognition and machine learning


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Boosting methods for multi-class imbalanced data classification: an experimental review J Tanha, Y Abdi, N Samadi, N Razzaghi, M Asadpour Journal of Big Data 7 (1), 1-47, 2020	404	2020
Semi-supervised self-training for decision tree classifiers J Tanha, M Van Someren, H Afsarmanesh International Journal of Machine Learning and Cybernetics 8, 355-370, 2017	335	2017
The role of collaborative networks in sustainability LM Camarinha-Matos, H Afsarmanesh, X Boucher Collaborative Networks for a Sustainable World: 11th IFIP WG 5.5 Working …, 2010	126	2010
COVID-19 infection forecasting based on deep learning in Iran M Azarafza, M Azarafza, J Tanha MedRxiv, 2020.05. 16.20104182, 2020	59	2020
CPSSDS: conformal prediction for semi-supervised classification on data streams J Tanha, N Samadi, Y Abdi, N Razzaghi-Asl Information Sciences 584, 212-234, 2022	33	2022
Boosting for multiclass semi-supervised learning J Tanha, M Van Someren, H Afsarmanesh Pattern Recognition Letters 37, 63-77, 2014	32	2014
Tune your brown clustering, please L Derczynski, S Chester, KS Bøgh International Conference Recent Advances in Natural Language Processing …, 2015	31	2015
STDS: self-training data streams for mining limited labeled data in non-stationary environment S Khezri, J Tanha, A Ahmadi, A Sharifi Applied Intelligence 50, 1448-1467, 2020	28	2020
Disagreement-based co-training J Tanha, M van Someren, H Afsarmanesh 2011 IEEE 23rd international conference on tools with artificial …, 2011	28	2011
Combination of ant colony optimization and Bayesian classification for feature selection in a bioinformatics dataset MH Aghdam, J Tanha, AR Naghsh-Nilchi, ME Basiri Journal of Computer Science & Systems Biology 2 (3), 186-199, 2009	28	2009
COVID‐19 Detection Using Deep Convolutional Neural Networks and Binary Differential Algorithm‐Based Feature Selection from X‐Ray Images MS Iraji, MR Feizi-Derakhshi, J Tanha Complexity 2021 (1), 9973277, 2021	24	2021
Relationship among prognostic indices of breast cancer using classification techniques J Tanha, H Salarabadi, M Aznab, A Farahi, M Zoberi Informatics in Medicine Unlocked 18, 100265, 2020	23	2020
Multiclass semi-supervised learning for animal behavior recognition from accelerometer data J Tanha, M Van Someren, M de Bakker, W Bouteny, ... 2012 IEEE 24th International Conference on Tools with Artificial …, 2012	23	2012
A novel semi-supervised ensemble algorithm using a performance-based selection metric to non-stationary data streams S Khezri, J Tanha, A Ahmadi, A Sharifi Neurocomputing 442, 125-145, 2021	22	2021
An adaboost algorithm for multiclass semi-supervised learning J Tanha, M van Someren, H Afsarmanesh 2012 IEEE 12th International Conference on Data Mining, 1116-1121, 2012	22	2012
MSSBoost: A new multiclass boosting to semi-supervised learning J Tanha Neurocomputing 314, 251-266, 2018	21	2018
A selection metric for semi-supervised learning based on neighborhood construction M Emadi, J Tanha, ME Shiri, MH Aghdam Information Processing & Management 58 (2), 102444, 2021	19	2021
A multiclass boosting algorithm to labeled and unlabeled data J Tanha International Journal of Machine Learning and Cybernetics 10 (12), 3647-3665, 2019	16	2019
Ensemble approaches to semi-supervised learning J Tanha SIKS, 2013	14	2013
AMTLDC: a new adversarial multi-source transfer learning framework to diagnosis of COVID-19 H Alhares, J Tanha, MA Balafar Evolving Systems 14 (6), 1101-1115, 2023	13	2023

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