Hadi Sadoghi Yazdi
Orcid: 0000-0002-6885-4956
According to our database1,
Hadi Sadoghi Yazdi
authored at least 133 papers
between 2004 and 2024.
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Bibliography
2024
A distributed learning based on robust diffusion SGD over adaptive networks with noisy output data.
J. Parallel Distributed Comput., 2024
Fuzzy Sets Syst., 2024
Semantic labeling of social big media using distributed online robust classification.
Eng. Appl. Artif. Intell., 2024
2023
Task weighting based on particle filter in deep multi-task learning with a view to uncertainty and performance.
Pattern Recognit., August, 2023
Diffusion-based Kalman iterative thresholding for compressed sampling recovery over network.
Signal Process., 2023
Inf. Sci., 2023
Robust Non-parametric Knowledge-based Diffusion Least Mean Squares over Adaptive Networks.
CoRR, 2023
2022
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Cybern., 2022
Signal Process., 2022
Cloning detection scheme based on linear and curvature scale space with new false positive removal filters.
Multim. Tools Appl., 2022
Inf. Process. Manag., 2022
Expert Syst. Appl., 2022
Sparsity-aware support vector data description reinforced by expectation maximization.
Expert Syst. J. Knowl. Eng., 2022
Edge preserving range image smoothing using hybrid locally kernel-based weighted least square.
Appl. Soft Comput., 2022
2021
Hyperspectral Image Denoising via Clustering-Based Latent Variable in Variational Bayesian Framework.
IEEE Trans. Geosci. Remote. Sens., 2021
Signal Process., 2021
Signal Process., 2021
J. Vis. Commun. Image Represent., 2021
Modified-mean-shift-based noisy label detection for hyperspectral image classification.
Comput. Geosci., 2021
MVDF-RSC: Multi-view data fusion via robust spectral clustering for geo-tagged image tagging.
Expert Syst. Appl., 2021
Robustness of convolutional neural network models in hyperspectral noisy datasets with loss functions.
Comput. Electr. Eng., 2021
2020
IEEE Trans. Parallel Distributed Syst., 2020
Multi-Target State Estimation Using Interactive Kalman Filter for Multi-Vehicle Tracking.
IEEE Trans. Intell. Transp. Syst., 2020
Signal Process. Image Commun., 2020
Signal Process., 2020
Robotics Auton. Syst., 2020
Int. J. Mach. Learn. Cybern., 2020
Inf. Process. Manag., 2020
A drift aware adaptive method based on minimum uncertainty for anomaly detection in social networking.
Expert Syst. Appl., 2020
Eng. Appl. Artif. Intell., 2020
2019
Collaborative linear dynamical system identification by scarce relevant/irrelevant observations.
Multidimens. Syst. Signal Process., 2019
Knowl. Based Syst., 2019
IET Inf. Secur., 2019
Eng. Appl. Artif. Intell., 2019
Eng. Appl. Artif. Intell., 2019
Circuits Syst. Signal Process., 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
J. Multiple Valued Log. Soft Comput., 2018
Eng. Appl. Artif. Intell., 2018
Circuits Syst. Signal Process., 2018
2017
IEEE Geosci. Remote. Sens. Lett., 2017
2016
Int. J. Mach. Learn. Cybern., 2016
Intell. Data Anal., 2016
Kalman filtering based on the maximum correntropy criterion in the presence of non-Gaussian noise.
Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016
2015
Wirel. Networks, 2015
IEEE J. Biomed. Health Informatics, 2015
Pattern Recognit., 2015
Neural Process. Lett., 2015
Appl. Soft Comput., 2015
2014
Online neural network model for non-stationary and imbalanced data stream classification.
Int. J. Mach. Learn. Cybern., 2014
Online discriminative component analysis feature extraction from stream data with domain knowledge.
Intell. Data Anal., 2014
2013
Online cost-sensitive neural network classifiers for non-stationary and imbalanced data streams.
Neural Comput. Appl., 2013
Neural Comput. Appl., 2013
Comment on "Robustness and regularization of support vector machines" by H. Xu et al. (Journal of machine learning research, volume 10, pp 1485-1510, 2009).
J. Mach. Learn. Res., 2013
J. Intell. Fuzzy Syst., 2013
Neurocomputing, 2013
Recursive least square perceptron model for non-stationary and imbalanced data stream classification.
Evol. Syst., 2013
Expert Syst. J. Knowl. Eng., 2013
Comment on "robustness and regularization of support vector machines" by H. Xu, et al., (Journal of Machine Learning Research, vol. 10 pp. 1485-1510, 2009, arXiv: 0803.3490.
CoRR, 2013
2012
Pattern Anal. Appl., 2012
Neural Process. Lett., 2012
Knowl. Inf. Syst., 2012
Comment on "Support vector machine for classification based on fuzzy training data" by A.-B. Ji, J.-H. Pang, H.-J. Qiu [Expert Systems with Applications 37 (2010) 3495-3498].
Expert Syst. Appl., 2012
2011
Neural Comput. Appl., 2011
Int. J. Pattern Recognit. Artif. Intell., 2011
Unsupervised kernel least mean square algorithm for solving ordinary differential equations.
Neurocomputing, 2011
Int. J. Intell. Syst., 2011
Expert Syst. Appl., 2011
Central Eur. J. Comput. Sci., 2011
Creating and measuring diversity in multiple classifier systems using support vector data description.
Appl. Soft Comput., 2011
Extending Dempster Shafer method by multilayer decision template in classifier fusion.
Proceedings of the 7th International Conference on Information Assurance and Security, 2011
2010
Int. J. Intell. Comput. Cybern., 2010
Unsupervised adaptive neural-fuzzy inference system for solving differential equations.
Appl. Soft Comput., 2010
2009
1-D chaincode pattern matching for compression of Bi-level printed farsi and arabic textual images.
Image Vis. Comput., 2009
An improved pattern matching technique for lossy/lossless compression of binary printed Farsi and Arabic textual images.
Int. J. Intell. Comput. Cybern., 2009
Farsi and Arabic document images lossy compression based on the mixed raster content model.
Int. J. Document Anal. Recognit., 2009
A lossy/lossless compression method for printed typeset bi-level text images based on improved pattern matching.
Int. J. Document Anal. Recognit., 2009
A fair routing protocol using generic utility based approach in Wireless Sensor Networks.
Proceedings of the International Conference on Ultra Modern Telecommunications, 2009
Proceedings of the 2009 International Conference on Digital Image Processing, 2009
Improved DAG SVM: A New Method for Multi-Class SVM Classification.
Proceedings of the 2009 International Conference on Artificial Intelligence, 2009
A New Tree Clustering Algorithm for Fuzzy Data Based on Alpha-Cuts.
Proceedings of the 2009 International Conference on Artificial Intelligence, 2009
Proceedings of the EMS 2009, 2009
Proceedings of the EMS 2009, 2009
Proceedings of the EMS 2009, 2009
Proceedings of the Engineering Applications of Neural Networks, 2009
2008
Int. J. Intell. Comput. Cybern., 2008
Proceedings of the Ninth ACIS International Conference on Software Engineering, 2008
Proceedings of the EMS 2008, 2008
2007
Duct Modeling Using the Generalized RBF Neural Network for Active Cancellation of Variable Frequency Narrow Band Noise.
EURASIP J. Adv. Signal Process., 2007
Appl. Math. Comput., 2007
Eigenvalue spread criteria in the particle swarm optimization algorithm for solving of constraint parametric problems.
Appl. Math. Comput., 2007
Proceedings of the Computational Science and Its Applications, 2007
2005
2004
Proceedings of the Image Analysis and Recognition: International Conference, 2004