Hadi Sadoghi Yazdi

Orcid: 0000-0002-6885-4956

According to our database1, Hadi Sadoghi Yazdi authored at least 130 papers between 2004 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Correntropy-Based Constructive One Hidden Layer Neural Network.
Algorithms, 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

Management of the optimizer's curse concept in single-task diffusion networks.
Inf. Sci., 2023

Robust Non-parametric Knowledge-based Diffusion Least Mean Squares over Adaptive Networks.
CoRR, 2023

2022
Situation Assessment-Augmented Interactive Kalman Filter for Multi-Vehicle Tracking.
IEEE Trans. Intell. Transp. Syst., 2022

Prepare for the Worst, Hope for the Best: Active Robust Learning On Distributions.
IEEE Trans. Cybern., 2022

Bayesian framework selection for hyperspectral image denoising.
Signal Process., 2022

Cloning detection scheme based on linear and curvature scale space with new false positive removal filters.
Multim. Tools Appl., 2022

ListMAP: Listwise learning to rank as maximum a posteriori estimation.
Inf. Process. Manag., 2022

Robust classification via clipping-based kernel recursive least lncosh of error.
Expert Syst. Appl., 2022

Density-oriented linear discriminant analysis.
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

Diversity-based diffusion robust RLS using adaptive forgetting factor.
Signal Process., 2021

Convergence behavior of diffusion stochastic gradient descent algorithm.
Signal Process., 2021

Image annotation based on multi-view robust spectral clustering.
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
cCUDA: Effective Co-Scheduling of Concurrent Kernels on GPUs.
IEEE Trans. Parallel Distributed Syst., 2020

Multi-Target State Estimation Using Interactive Kalman Filter for Multi-Vehicle Tracking.
IEEE Trans. Intell. Transp. Syst., 2020

Probabilistic Kalman filter for moving object tracking.
Signal Process. Image Commun., 2020

Analysis of robust recursive least squares: Convergence and tracking.
Signal Process., 2020

Vehicle tracking with Kalman filter using online situation assessment.
Robotics Auton. Syst., 2020

Combination of loss functions for deep text classification.
Int. J. Mach. Learn. Cybern., 2020

Identifying crisis-related informative tweets using learning on distributions.
Inf. Process. Manag., 2020

A drift aware adaptive method based on minimum uncertainty for anomaly detection in social networking.
Expert Syst. Appl., 2020

Toward optimum fuzzy support vector machines using error distribution.
Eng. Appl. Artif. Intell., 2020

Robust Heterogeneous C-means.
Appl. Soft Comput., 2020

2019
Metric Selection for GPU Kernel Classification.
ACM Trans. Archit. Code Optim., 2019

Robust diffusion LMS over adaptive networks.
Signal Process., 2019

Robust sentiment fusion on distribution of news.
Multim. Tools Appl., 2019

Collaborative linear dynamical system identification by scarce relevant/irrelevant observations.
Multidimens. Syst. Signal Process., 2019

Sparse Bayesian approach for metric learning in latent space.
Knowl. Based Syst., 2019

Event reconstruction using temporal pattern of file system modification.
IET Inf. Secur., 2019

Crowd analysis using Bayesian Risk Kernel Density Estimation.
Eng. Appl. Artif. Intell., 2019

Functional gradient approach to probabilistic minimax active learning.
Eng. Appl. Artif. Intell., 2019

Incorporating Nonparametric Knowledge to the Least Mean Square Adaptive Filter.
Circuits Syst. Signal Process., 2019

relf: robust regression extended with ensemble loss function.
Appl. Intell., 2019

2018
Universal Approximation by Using the Correntropy Objective Function.
IEEE Trans. Neural Networks Learn. Syst., 2018

Fuzzy Relevance Feedback in the Semantic Image Retrieval.
J. Multiple Valued Log. Soft Comput., 2018

Sparse online feature maps.
Knowl. Based Syst., 2018

Bayesian filter based on the wisdom of crowds.
Neurocomputing, 2018

Robust Semi-Supervised Growing Self-Organizing Map.
Expert Syst. Appl., 2018

Sparse Bayesian similarity learning based on posterior distribution of data.
Eng. Appl. Artif. Intell., 2018

Kalman Filter Reinforced by Least Mean Square for Systems with Unknown Inputs.
Circuits Syst. Signal Process., 2018

ISNA-Set: A novel English Corpus of Iran NEWS.
CoRR, 2018

Sentimental Content Analysis and Knowledge Extraction from News Articles.
CoRR, 2018

2017
Label denoising based on Bayesian aggregation.
Int. J. Mach. Learn. Cybern., 2017

Improving Signal Subspace Identification Using Weighted Graph Structure of Data.
IEEE Geosci. Remote. Sens. Lett., 2017

2016
Large symmetric margin instance selection algorithm.
Int. J. Mach. Learn. Cybern., 2016

Semi-supervised GSOM integrated with extreme learning machine.
Intell. Data Anal., 2016

Fuzzy Constraints Linear Discriminant Analysis.
CoRR, 2016

Active Robust Learning.
CoRR, 2016

Outlier absorbing based on a Bayesian approach.
CoRR, 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
Anomaly detection and foresight response strategy for wireless sensor networks.
Wirel. Networks, 2015

Temporal and Spatial Monitoring and Prediction of Epidemic Outbreaks.
IEEE J. Biomed. Health Informatics, 2015

IRAHC: Instance Reduction Algorithm using Hyperrectangle Clustering.
Pattern Recognit., 2015

Fuzzy Min-Max Neural Network for Learning a Classifier with Symmetric Margin.
Neural Process. Lett., 2015

Constrained Semi-Supervised Growing Self-Organizing Map.
Neurocomputing, 2015

Robust Support Vector Machines with Low Test Time.
Comput. Intell., 2015

Discernible visualization of high dimensional data using label information.
Appl. Soft Comput., 2015

2014
Robust support vector machine-trained fuzzy system.
Neural Networks, 2014

Multiclass classifier based on boundary complexity.
Neural Comput. Appl., 2014

Online neural network model for non-stationary and imbalanced data stream classification.
Int. J. Mach. Learn. Cybern., 2014

Hierarchical tree clustering of fuzzy number.
J. Intell. Fuzzy Syst., 2014

A recursive algorithm for optimizing differentiation.
J. Comput. Appl. Math., 2014

LMIRA: Large Margin Instance Reduction Algorithm.
Neurocomputing, 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

Constrained classifier: a novel approach to nonlinear classification.
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

Vector fuzzy C-means.
J. Intell. Fuzzy Syst., 2013

Fuzzy clustering algorithm for fuzzy data based on α-cuts.
J. Intell. Fuzzy Syst., 2013

Gravitation based classification.
Inf. Sci., 2013

Ensemble of online neural networks for non-stationary and imbalanced data streams.
Neurocomputing, 2013

Recursive least square perceptron model for non-stationary and imbalanced data stream classification.
Evol. Syst., 2013

Classification of fuzzy data based on the support vector machines.
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
An extension to fuzzy support vector data description (FSVDD*).
Pattern Anal. Appl., 2012

Making Diversity Enhancement Based on Multiple Classifier System by Weight Tuning.
Neural Process. Lett., 2012

Ordinary differential equations solution in kernel space.
Neural Comput. Appl., 2012

Model-based fuzzy c-shells clustering.
Neural Comput. Appl., 2012

DDC: distance-based decision classifier.
Neural Comput. Appl., 2012

A general insight into the effect of neuron structure on classification.
Knowl. Inf. Syst., 2012

Prediction of liquefaction potential based on CPT up-sampling.
Comput. Geosci., 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

Relaxed constraints support vector machine.
Expert Syst. J. Knowl. Eng., 2012

A target-based color space for sea target detection.
Appl. Intell., 2012

2011
Relaxed constraints support vector machines for noisy data.
Neural Comput. Appl., 2011

Curve fitting space for classification.
Neural Comput. Appl., 2011

Background Estimation in Kernel Space.
Int. J. Pattern Recognit. Artif. Intell., 2011

Unsupervised kernel least mean square algorithm for solving ordinary differential equations.
Neurocomputing, 2011

Classification of imprecise data using interval Fisher discriminator.
Int. J. Intell. Syst., 2011

Extended decision template presentation for combining classifiers.
Expert Syst. Appl., 2011

Shell fitting space for classification.
Expert Syst. Appl., 2011

Correlation based splitting criterionin multi branch decision tree.
Central Eur. J. Comput. Sci., 2011

Creating and measuring diversity in multiple classifier systems using support vector data description.
Appl. Soft Comput., 2011

Fuzzy cost support vector regression on the fuzzy samples.
Appl. Intell., 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
Intrusion Detection by Ellipsoid Boundary.
J. Netw. Syst. Manag., 2010

Constraint learning using adaptive neural-fuzzy inference system.
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

Designing Kernel Scheme for Classifiers Fusion
CoRR, 2009

A fair routing protocol using generic utility based approach in Wireless Sensor Networks.
Proceedings of the International Conference on Ultra Modern Telecommunications, 2009

A Novel Color Space Creating Method Applied to Skin Color Detection.
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

Emphatic Constraints Support Vector Machines for Multi-class Classification.
Proceedings of the EMS 2009, 2009

Intelligent Arrhythmia Detection Using Genetic Algorithm and Emphatic SVM (ESVM).
Proceedings of the EMS 2009, 2009

ECG Arrhythmia Classification with Support Vector Machines and Genetic Algorithm.
Proceedings of the EMS 2009, 2009

Ellipse Support Vector Data Description.
Proceedings of the Engineering Applications of Neural Networks, 2009

2008
Pedestrian tracking using single camera with new extended Kalman filter.
Int. J. Intell. Comput. Cybern., 2008

An Efficient Parallel Eye Detection Algorithm on Facial Color Images.
Proceedings of the Ninth ACIS International Conference on Software Engineering, 2008

A PSO Tuning Approach for Lip Detection on Color Images.
Proceedings of the EMS 2008, 2008

2007
Using pattern matching for tiling and packing problems.
Eur. J. Oper. Res., 2007

Duct Modeling Using the Generalized RBF Neural Network for Active Cancellation of Variable Frequency Narrow Band Noise.
EURASIP J. Adv. Signal Process., 2007

The probabilistic constraints in the support vector machine.
Appl. Math. Comput., 2007

Eigenvalue spread criteria in the particle swarm optimization algorithm for solving of constraint parametric problems.
Appl. Math. Comput., 2007

A New Quantized Input RLS, QI-RLS, Algorithm.
Proceedings of the Computational Science and Its Applications, 2007

2005
Clipped Input RLS Applied to Vehicle Tracking.
EURASIP J. Adv. Signal Process., 2005

Modified Clipped LMS Algorithm.
EURASIP J. Adv. Signal Process., 2005

2004
Vehicle Tracking at Traffic Scene with Modified RLS.
Proceedings of the Image Analysis and Recognition: International Conference, 2004


  Loading...