publications

2025

1. Preprint

   Reliable Vehicle Detection and Tracking on Highways Using the Geo-Heinz Corner Response, Density-Based Clustering

   Mustafa Sadeghi, Mohamad Mehdi Khorsand Aalam, and Hadi Sadoghi Yazdi

   2025

   Posted preprint; this record does not establish journal acceptance.

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2. Robust scene aware multi-object tracking for surveillance videos

   Fatemeh Jalali, Morteza Khademi, Abbas Ebrahimi Moghadam, and 1 more author

   Neurocomputing, 2025

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3. CSRWA: Covert and Severe Attacks Resistant Watermarking Algorithm

   Hadi Sadoghi Yazdi, Ahad Harati, Amir Hossein Taherinia, and 1 more author

   Computers, Materials & Continua, 2025

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4. Elastic matching through the lens of probability and divergence in time series prediction

   Ali Forouzan, and Hadi Sadoghi Yazdi

   Pattern Analysis and Applications, 2025

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5. Distributed Learning Framework for Multi-timeframe Data Modelling in Financial Multi-step Forecasting

   Ali Mehrizi, and Hadi Sadoghi Yazdi

   Emerging Markets Finance and Trade, 2025

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6. Preserving data distribution in sampling and instance selection with Renyi’s divergence

   Hadi Sadoghi-Yazdi, Soheila Ashkezari-Toussi, and Abolfazl Ramezanzadeh-Yazdi

   Knowledge and Information Systems, 2025

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7. Preprint

   Adaptive Locally Linear Embedding

   Ali Goli, Mahdieh Alizadeh, and Hadi Sadoghi Yazdi

   2025

   Posted preprint; this record does not establish journal acceptance.

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2024

1. FSS

   Robust hybrid learning approach for adaptive neuro-fuzzy inference systems

   Ali Nik-Khorasani, Ali Mehrizi, and Hadi Sadoghi-Yazdi

   Fuzzy Sets and Systems, Apr 2024

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   The Adaptive Neuro-Fuzzy Inference System (ANFIS) is a regression model that combines fuzzy logic and neural networks, making it suitable for modeling the uncertainty of regression problems. However, the non-robust loss function in ANFIS’s hybrid learning algorithm can render it vulnerable to the direct effects of noise and outliers. This paper introduces a new procedure that utilizes robust loss functions to enhance the hybrid learning performance against noise and outliers. Furthermore, a new robust loss function is developed that can completely ignore outliers. A set of robust loss functions with mathematical relations are also suggested. The proposed approach is evaluated on real-world problems, including weather forecasting and stock market prediction. Results indicate that the proposed model can reduce the Mean Square Error (MSE) in regression.

2. MTA

   Enhancing multi-target tracking stability using knowledge graph integration within the Gaussian Mixture Probability Hypothesis Density Filter

   Ali Mehrizi, and Hadi Sadoghi Yazdi

   Multimedia Tools and Applications, Sep 2024

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   This paper proposes a novel approach to enhancing multi-target tracking of vehicles in videos with frequent camera occlusions. Our method integrates prior knowledge about vehicle behavior into a Gaussian Mixture Probability Hypothesis Density (GMPHD) filter framework. This knowledge, extracted as a knowledge graph from historical vehicle trajectories, allows the tracker to maintain persistence even during significant interruptions. The knowledge graph models expected movement patterns and generates pseudo-observations during occlusions, similar to how time series analysis leverages historical data for forecasting. We evaluate the proposed method on both simulated and real-world video datasets using the Optimal Sub Pattern Assignment (OSPA) metric, which assesses tracking accuracy. The results show a 19.5% improvement for simulated data and a 16.5% improvement for real-world video data under ...

3. ACM TIS

   A Self-Distilled Learning to Rank Model for Ad-hoc Retrieval

   Sanaz Keshvari, Farzan Saeedi, Hadi Sadoghi Yazdi, and 1 more author

   ACM Transactions on Information Systems, Sep 2024

   
4. JPDC

   A distributed learning based on robust diffusion SGD over adaptive networks with noisy output data

   Fatemeh Barani, Abdorreza Savadi, and Hadi Sadoghi Yazdi

   Journal of Parallel and Distributed Computing, Sep 2024

   
5. Algorithms

   Correntropy-based constructive one hidden layer neural network

   Mojtaba Nayyeri, Modjtaba Rouhani, Hadi Sadoghi Yazdi, and 3 more authors

   Algorithms, Sep 2024

   
6. EAAI

   Semantic labeling of social big media using distributed online robust classification

   Alireza Naeimi Sadigh, Tahereh Bahraini, and Hadi Sadoghi Yazdi

   Engineering Applications of Artificial Intelligence, Jun 2024

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   Semantic labeling for image datasets is of significant importance in a wide range of social media. However, social datasets with massive amounts of data require effective technologies to increase the quality of classification. In this study, we propose a novel online robust classification using distributed learning method, in which the diffusion method is used over adaptive networks in order to the parallelization of the training process. The loss function of the suggested method is derived from the logarithm cosine function, being more suitable for impulsive noises. Also, the convergence of the proposed method is discussed theoretically. The Extensive experimental results show that the proposed method outperforms the other robust state-of-the-art classification algorithms in the presence of various scenarios, such as: free noise synthetic data sets, pure Gaussian noise, mixture of two Gaussian noises, impulse noise, and Alpha–Beta noise which are added to the synthetic data sets. In addition, the experiments were repeated for two different types of real data sets with real noises and outliers, i.e., UCI and 500PX social media data sets. The obtained results over UCI and 500px data sets on social media with real outliers and mislabeled samples confirmed the acceptable performance of the proposed method.

7. Preprint

   Robust Multi-Target Tracking with Integrated Knowledge Model, Graph Structures, and Statistical Analysis in Unobservable Environments

   Ali Mehrizi, and Hadi Sadoghi Yazdi

   Jun 2024

   Posted preprint; this record does not establish journal acceptance.

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8. Preprint

   Integrated Knowledge Graph Model and Statistical Analysis for Multi-Target Tracking with Prediction of Non-Identical Periodic Events and Unobservable Environments

   Ali Mehrizi, and Hadi Sadoghi Yazdi

   Jun 2024

   Posted preprint; this record does not establish journal acceptance.

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9. Adaptive-A-GCRNN: Enhancing Real-Time Multi-Band Spectrum Prediction Through Attention-Based Spatial-Temporal Modeling

   Seyed-Majid Hosseini, Seyedeh-Mozhgan Rahmatinia, Seyed-Amin Hosseini-Seno, and 1 more author

   In 2024 14th International Conference on Computer and Knowledge Engineering (ICCKE), Jun 2024

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10. CPT-Based Liquefaction Probabilistic Triggering Using a New Adaptive Kernel Density Estimation Method

    Javad Sadoghi Yazdi, Robb Eric S. Moss, Javad Jafari, and 1 more author

    In Geo-Congress 2024, Jun 2024

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11. Preprint

    Information Diffusion Across Multi-Scale Time Series for Expanding Forecasting Horizons

    Ali Mehrizi, and Hadi Sadoghi Yazdi

    Jun 2024

    Posted preprint; this record does not establish journal acceptance.

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2023

1. ISCSS

   Randomized Constructive Neural Network Based on Regularized Minimum Error Entropy

   Mojtaba Nayyeri, Hadi Sadoghi Yazdi, Modjtaba Rouhani, and 2 more authors

   In Impact of Scientific Computing on Science and Society, Jun 2023

   
2. PR

   Task weighting based on particle filter in deep multi-task learning with a view to uncertainty and performance

   Emad Aghajanzadeh, Tahereh Bahraini, Amir Hossein Mehrizi, and 1 more author

   Pattern Recognition, Jun 2023

   
3. IS

   Management of the optimizer’s curse concept in single-task diffusion networks

   Atieh Gharib, Hadi Sadoghi-Yazdi, and Amir Hossein Taherinia

   Information Sciences, Jun 2023

   
4. SP

   Diffusion-based Kalman iterative thresholding for compressed sampling recovery over network

   Fahimeh Ansari-Ram, Abbas Ebrahimi-Moghadam, Morteza Khademi, and 1 more author

   Signal Processing, Jun 2023

   
5. Preprint

   Portfolio Management Based on Well-Behaved Shares with Markowitz’s Mean-Variance Approach

   Ahmad Ghorbanipour, Elaheh Soleymanpour, and Hadi Sadoghi Yazdi

   Jun 2023

   Posted preprint; this record does not establish journal acceptance.

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6. Preprint

   The Median Loss Function

   Sanaz Keshvari, Farzan Saeedi, and Hadi Sadoghi Yazdi

   Jun 2023

   Posted preprint; this record does not establish journal acceptance.

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7. Preprint

   Information Diffusion Across Multiple Time Frames: A Comprehensive Analysis in Time Series Forecasting

   Ali Mehrizi, and Hadi Sadoghi Yazdi

   Jun 2023

   Posted preprint; this record does not establish journal acceptance.

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2022

1. SP

   Bayesian framework selection for hyperspectral image denoising

   Tahereh Bahraini, Abbas Ebrahimi-Moghadam, Morteza Khademi, and 1 more author

   Signal Processing, Jun 2022

   
2. ESA

   Density-oriented linear discriminant analysis

   Tahereh Bahraini, Seyed Mohammad Hosseini, Mahbubeh Ghasempour, and 1 more author

   Expert Systems with Applications, Jun 2022

   
3. MTA

   Cloning detection scheme based on linear and curvature scale space with new false positive removal filters

   Manaf Mohammed Ali Alhaidery, Amir Hossein Taherinia, and Hadi Sadoghi Yazdi

   Multimedia Tools and Applications, Jun 2022

   
4. ES

   Sparsity-aware support vector data description reinforced by expectation maximization

   Mahdie Eghdami, Hadi Sadoghi Yazdi, and Neshat Salehi

   Expert Systems, Jun 2022

   
5. ASC

   Edge preserving range image smoothing using hybrid locally kernel-based weighted least square

   Tahereh Bahraini, Taha Hamedani, Seyed Mohammad Hosseini, and 1 more author

   Applied Soft Computing, Jun 2022

   
6. IPM

   ListMAP: Listwise learning to rank as maximum a posteriori estimation

   Sanaz Keshvari, Faezeh Ensan, and Hadi Sadoghi Yazdi

   Information Processing & Management, Jun 2022

   
7. ESA

   Robust classification via clipping-based kernel recursive least lncosh of error

   Alireza Naeimi-Sadigh, Tahereh Bahraini, and Hadi Sadoghi Yazdi

   Expert Systems with Applications, Jul 2022

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   Classification as a supervised machine learning method predicts the class label from the features distribution and the training process. The traditional classifier algorithms are not robust in the presence of outliers and noisy features. In this study, we suggest a novel robust classifier using kernel recursive least lncosh (RC-KRLL), in which the clipping concept is used to ignore the effect of large noises. Instead of the conventional mean square error cost function, the suggested RC-KRLL method is derived from the lncosh loss function, being more suitable for non-Gaussian noise. The mean, mean-square convergence, and learning curve of the RC-KRLL are discussed theoretically. The simulation results show that the proposed method outperforms the other robust state-of-the-art classification algorithms in the presence of synthetic non-Gaussian noise over UCI data sets, such as the mixture of Gaussian noise with different variances, impulse, and Alpha–Beta noises. The obtained results over 500px data sets on social media with real outliers and mislabeled samples confirmed the acceptable performance of the proposed method.

2021

1. IEEE TC

   Prepare for the worst, hope for the best: Active robust learning on distributions

   Seyed Hossein Ghafarian, and Hadi Sadoghi Yazdi

   IEEE Transactions on Cybernetics, Jul 2021

   
2. IEEE TITS

   Situation assessment-augmented interactive Kalman filter for multi-vehicle tracking

   Maryam Baradaran Khalkhali, Abedin Vahedian, and Hadi Sadoghi Yazdi

   IEEE Transactions on Intelligent Transportation Systems, Jul 2021

   
3. IEEE TGRS

   Hyperspectral image denoising via clustering-based latent variable in variational Bayesian framework

   Peyman Azimpour, Tahereh Bahraini, and Hadi Sadoghi Yazdi

   IEEE Transactions on Geoscience and Remote Sensing, Jul 2021

   
4. CEE

   Robustness of convolutional neural network models in hyperspectral noisy datasets with loss functions

   Sepehr Ghafari, Milad Ghobadi Tarnik, and Hadi Sadoghi Yazdi

   Computers & Electrical Engineering, Jul 2021

   
5. SP

   Diversity-based diffusion robust RLS using adaptive forgetting factor

   Alireza Naeimi Sadigh, Hadi Sadoghi Yazdi, and Ahad Harati

   Signal Processing, May 2021

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6. IRIEE

   Variational Bayesian inference in Noise Removal from Hyperspectral Images Using Cluster-Based Latent Variables

   T Bahraini, M Khademi, H Sadoghi Yazdi, and 1 more author

   Nashriyyah-i Muhandisi-i Barq va Muhandisi-i Kampyutar-i Iran, May 2021
7. JVCI

   Image annotation based on multi-view robust spectral clustering

   Mona Zamiri, and Hadi Sadoghi Yazdi

   Journal of Visual Communication and Image Representation, May 2021
8. SP

   Convergence behavior of diffusion stochastic gradient descent algorithm

   Fatemeh Barani, Abdorreza Savadi, and Hadi Sadoghi Yazdi

   Signal Processing, May 2021
9. CG

   Modified-mean-shift-based noisy label detection for hyperspectral image classification

   Tahereh Bahraini, Peyman Azimpour, and Hadi Sadoghi Yazdi

   Computers & Geosciences, May 2021

   
10. SP

    Analysis of robust recursive least squares: Convergence and tracking

    Alireza Naeimi Sadigh, Amir Hossein Taherinia, and Hadi Sadoghi Yazdi

    Signal Processing, May 2021

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    Outliers and impulsive noise are inevitable factors in recursive least squares (RLS). Developing robust RLS is vital in practical applications such as system identification in which outliers in the desired signals may severely divert the solutions. Almost all suggested robust RLS schemes have been designed for the impulsive noise and Gaussian environments. Recently, employing the Maximum Correntropy Criterion (MCC), the RGMCC (Recursive General MCC) algorithm has been given which yields more exact results for system identification problem in non-Gaussian environments. Here, we develop a new Robust RLS (R2LS) scheme based on the MCC. In contrast to RGMCC, the structure of our model, although being complex, makes it possible to conduct convergence and performance analysis in both the stationary and non-stationary environments. Especially, the model is capable to reasonably predict and track the signals when the original signal is contaminated by non-Gaussian noise. To establish convergence and performance, we apply a half-quadratic optimization algorithm in the multiplicative form to successively convert our model to a quadratic problem which can be effectively solved by the classical tools. Numerical experiments are done on real and synthetic datasets; they show that the proposed algorithm outperforms the conventional RLS as well as some of its recent extensions.

11. MVDF-RSC: Multi-view data fusion via robust spectral clustering for geo-tagged image tagging

    Mona Zamiri, Tahereh Bahraini, and Hadi Sadoghi Yazdi

    Expert Systems with Applications, May 2021

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2020

1. SPIC

   Probabilistic Kalman filter for moving object tracking

   Fahime Farahi, and Hadi Sadoghi Yazdi

   Signal Processing: Image Communication, May 2020

   
2. ASC

   Robust Heterogeneous C-means

   Atieh Gharib, Hadi Sadoghi-Yazdi, and Amir Taherinia

   Applied Soft Computing, May 2020

   
3. EAAI

   Toward optimum fuzzy support vector machines using error distribution

   Tahereh Bahraini, Saeedeh Ghazi, and Hadi Sadoghi Yazdi

   Engineering Applications of Artificial Intelligence, May 2020
4. IPM

   Identifying crisis-related informative tweets using learning on distributions

   Seyed Hossein Ghafarian, and Hadi Sadoghi Yazdi

   Information Processing & Management, May 2020
5. IRIEE

   A New and Robust AMP Algorithm for Non IID Matrices Based on Bayesian Theory in Compressed Sensing

   F Ansari Ram, M Khademi, H Sadoghi Yazdi, and 1 more author

   Nashriyyah-i Muhandisi-i Barq va Muhandisi-i Kampyutar-i Iran, May 2020
6. ESA

   A drift aware adaptive method based on minimum uncertainty for anomaly detection in social networking

   Hadi Sadoghi Yazdi, Abbas Ghaemi Bafghi, and  others

   Expert Systems with Applications, May 2020
7. RAS

   Vehicle tracking with Kalman filter using online situation assessment

   Maryam Baradaran Khalkhali, Abedin Vahedian, and Hadi Sadoghi Yazdi

   Robotics and Autonomous Systems, May 2020
8. CILS

   Minimum variance based-Bayes Combination for prediction of soil properties on Vis-NIR reflectance spectroscopy

   Milad Ghobadi Tarnik, Sepehr Ghafari, Tahereh Bahraini, and 1 more author

   Chemometrics and Intelligent Laboratory Systems, May 2020
9. AEJ

   A kernel least mean square algorithm for fuzzy differential equations and its application in earth’s energy balance model and climate

   M Pakdaman, Y Falamarzi, H Sadoghi Yazdi, and 3 more authors

   Alexandria Engineering Journal, May 2020
10. IRIEE

    Semi-Supervised Learning Based on Extreme Learning

    A Mehrizi, H Sadoghi Yazdi, and SJ Seyyed Mahdavi Chabok

    Nashriyyah-i Muhandisi-i Barq va Muhandisi-i Kampyutar-i Iran, May 2020
11. IJMLC

    Combination of loss functions for deep text classification

    Hamideh Hajiabadi, Diego Molla-Aliod, Reza Monsefi, and 1 more author

    International Journal of Machine Learning and Cybernetics, May 2020
12. Blind Video Steganalysis by Semi-Supervised Approach for Motion Vectors Based Steganography Algorithms

    J Mortazavi Mehrizi, M Khademi, and H Sadoghi Yazdi

    Nashriyyah-i Muhandisi-i Barq va Muhandisi-i Kampyutar-i Iran, May 2020
13. JMVIP

    Automated Detection of Region of Interest using Non-Parametric Distribution Based on Bayesian Risk

    Mahnaz Razavi, Amir Hossein Taherinia, and Hadi Sadoghi Yazdi

    Journal of Machine Vision and Image Processing, May 2020
14. ISA Transactions

    Convergence and performance analysis of kernel regularized robust recursive least squares

    Alireza Naeimi Sadigh, Hadi Sadoghi Yazdi, and Ahad Harati

    ISA Transactions, Oct 2020

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    Kernel recursive least squares (KRLS) is very sensitive to non-Gaussian noise and hence, robust extensions are proposed using maximum correntropy criterion or generalized maximum correntropy. However, because of the complex form of the model, there is no theoretical analysis on the convergence of these filters. In this paper, we propose a new alternative: Kernel Regularized Robust RLS (KRLS). It uses half-quadratic technique to simplify the form of the loss function. Our major contribution is then proving the convergence of the filter to the target weights and desired output. The bounds of regularization factor is also obtained. KRLS is experimentally tested using synthetic and real data and is shown to perform superior compared to other robust alternatives.

2019

1. IEEE TITS

   Multi-target state estimation using interactive Kalman filter for multi-vehicle tracking

   Maryam Baradaran Khalkhali, Abedin Vahedian, and Hadi Sadoghi Yazdi

   IEEE Transactions on Intelligent Transportation Systems, Oct 2019

   
2. IEEE TPDS

   cCUDA: Effective co-scheduling of concurrent kernels on GPUs

   S-Kazem Shekofteh, Hamid Noori, Mahmoud Naghibzadeh, and 2 more authors

   IEEE Transactions on Parallel and Distributed Systems, Oct 2019

   
3. KBS

   Sparse Bayesian approach for metric learning in latent space

   Davood Zabihzadeh, Reza Monsefi, and Hadi Sadoghi Yazdi

   Knowledge-Based Systems, Oct 2019

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4. EAAI

   Crowd analysis using bayesian risk kernel density estimation

   Mahnaz Razavi, Hadi Sadoghi Yazdi, and Amir Hossein Taherinia

   Engineering Applications of Artificial Intelligence, Oct 2019
5. CSSP

   Incorporating Nonparametric Knowledge to the Least Mean Square Adaptive Filter

   Soheila Ashkezari-Toussi, and Hadi Sadoghi-Yazdi

   Circuits, Systems, and Signal Processing, Apr 2019

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   In the framework of the maximum a posteriori estimation, the present study proposes the nonparametric probabilistic least mean square (NPLMS) adaptive filter for the estimation of an unknown parameter vector from noisy data. The NPLMS combines parameter space and signal space by combining the prior knowledge of the probability distribution of the process with the evidence existing in the signal. Taking advantage of kernel density estimation to estimate the prior distribution, the NPLMS is robust against the Gaussian and non-Gaussian noises. To achieve this, some of the intermediate estimations are buffered and then used to estimate the prior distribution. Despite the bias-compensated algorithms, there is no need to estimate the input noise variance. Theoretical analysis of the NPLMS is derived. In addition, a variable step-size version of NPLMS is provided to reduce the steady-state error. Simulation results in the system identification and prediction show the acceptable performance of the NPLMS in the noisy stationary and non-stationary environments against the bias-compensated and normalized LMS algorithms.

6. ACM TACO

   Metric selection for gpu kernel classification

   S-Kazem Shekofteh, Hamid Noori, Mahmoud Naghibzadeh, and 2 more authors

   ACM Transactions on Architecture and Code Optimization (TACO), Apr 2019
7. MTA

   Robust sentiment fusion on distribution of news

   Mohammad Kamel, Farzaneh Namdar Siuky, and Hadi Sadoghi Yazdi

   Multimedia Tools and Applications, Apr 2019
8. EAAI

   Functional gradient approach to probabilistic minimax active learning

   Seyed Hossein Ghafarian, and Hadi Sadoghi Yazdi

   Engineering Applications of Artificial Intelligence, Apr 2019
9. MSSP

   Collaborative linear dynamical system identification by scarce relevant/irrelevant observations

   Behzad Bakhtiari, and Hadi Sadoghi Yazdi

   Multidimensional Systems and Signal Processing, Apr 2019
10. Cities

    Emotional maps based on social networks data to analyze cities emotional structure and measure their emotional similarity

    Soheila Ashkezari-Toussi, Mohammad Kamel, and Hadi Sadoghi-Yazdi

    Cities, Jan 2019

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    The present study utilizes the social media data to sample from people’s emotion in different places based on their facial expressions, for analyzing emotions distribution in a city and comparing the emotional similarity between cities. Experiencing various emotions g1ives birth to different facial expressions which usually have similar patterns for individuals. Extracting these patterns from face images and analyzing them makes it possible to extract related emotion associated with the shared photos. Since geo-tagged images include metadata about the geographical location, estimation of emotions spatial distribution is possible. The distribution of four emotions: anger, disgust, happiness, and surprise in twelve cities, included Athens, Beijing, Berlin, Brussels, Buenos Aires, Copenhagen, Helsinki, Melbourn, New York, Ottawa, Paris, and Prague is investigated by analyzing geo-tagged photos shared on Flickr. After facial expressions extraction, the spatial distribution functions of the emotions are calculated by kernel density estimation method. Emotional maps for cities are created using extracted features of Fourier transform spectrum of the spatial distributions which are robust against rotation and translation. Afterward, similar cities based on their emotional structure are clustered into appropriate groups. The results are beneficial for urban planners and social researchers to analyze the effect of the environment on peoples’ emotions. Furthermore, this could guide them to make right policies to improve the quality of life. Considering the four studied emtions, New York has the highest ratio in anger, Ottawa has the highest proportion of happiness and Copenhagen has the highest ratio in both surprise and disgust among the studied cities. In addition, an attempt is made to calculate the percentage of different emotions and dispersion of them as important emotional factors in understanding the emotional structure of cities. To measure the dispersion of happiness the coefficient of variation is computed. The results show that happiness dispersion in Berlin has a more uniform distribution according to the collected data. It seems both coefficients of variation and emotions percentage may be jointly effective in urban planning and cities comparison based on people emotional mode.

11. IET IS

    Event reconstruction using temporal pattern of file system modification

    Somayeh Soltani, Seyed Amin Hosseini Seno, and Hadi Sadoghi Yazdi

    IET Information Security, Jan 2019
12. SP

    Robust diffusion LMS over adaptive networks

    Soheila Ashkezari-Toussi, and Hadi Sadoghi-Yazdi

    Signal Processing, Jul 2019

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    The present study proposes the Robust DLMS (RDLMS) algorithm for a robust estimation over adaptive networks. Instead of minimizing the mean square error (MSE), the RDLMS algorithm is derived from minimizing the pseudo-Huber function which is a continuous derivative and smooth approximation of the Huber function. Performance of the RDLMS algorithm is examined in the presence of Gaussian and α-stable non-Gaussian noise, in stationary and non-stationary environments. The results show that in the presence of non-Gaussian noise the proposed algorithm is robust and outperforms the diffusion LMS, the diffusion maximum correntropy criteria, and the diffusion least mean fourth algorithms. In addition, RDLMS is similar to the diffusion sign-error LMS and diffusion robust LMS. On the other hand, when the environment noise is Gaussian, the performance of RDLMS is similar to the DLMS while outperforms the other aforementioned algorithms.

13. ESA

    working with mashhadcheragh

    Hadi Sadoghi Yazdi

    Expert Systems with Applications, Jul 2019
14. IRIEE

    Automatic Image Annotation by Block Principal Pivoting

    H Rikabi, N Soufi, H Sadoghi Yazdi, and 1 more author

    Nashriyyah-i Muhandisi-i Barq va Muhandisi-i Kampyutar-i Iran, Jul 2019
15. AI

    relf: robust regression extended with ensemble loss function

    Hamideh Hajiabadi, Reza Monsefi, and Hadi Sadoghi Yazdi

    Applied Intelligence, Jul 2019
16. I

    Cautious Classification of Hyper Rectangular, Hyper Circular, and Hyper Oval with a Maximum Symmetric Margin Relative to the Data Edge

    Yahya Forghani, M Hejazi, and H Sadoghi Yazdi

    Nashriyyah-i Muhandisi-i Barq va Muhandisi-i Kampyutar-i Iran, Jul 2019

2018

1. Circuits Syst. Signal Process.

   Kalman Filter Reinforced by Least Mean Square for Systems with Unknown Inputs

   Mohammad Ali Majidi, Chien-Shu Hsieh, and Hadi Sadoghi Yazdi

   Circuits, Systems, and Signal Processing, Feb 2018

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   This paper addresses the state estimation problem of linear discrete-time time-varying stochastic systems with unknown inputs (UIs). It is shown that the globally optimal unbiased minimum-variance filters may not satisfy the minimum-variance property, and hence they cannot eliminate noises appropriately. If this is the case, the well-known Kalman filter may give a better solution, which however may also not be the best one due to that the imbedded unknown input model may not be practical. To remedy the filtering degradation problem, a robust filter named as the KFLMS, which has good noise rejection property for such systems, is developed in this paper, where the UI estimates are obtained by using least mean square algorithm and the state estimation is achieved via the previous proposed two-stage Kalman filtering approach. Numerical examples are provided to show the effectiveness of the proposed results. Specifically, simulation results illustrate the goodness of the new method in the sense of lower root mean square error and better noise rejection property.

2. Neurocomputing

   Bayesian filter based on the wisdom of crowds

   Behzad Bakhtiari, and Hadi Sadoghi Yazdi

   Neurocomputing, Feb 2018
3. arXiv

   Sentimental content analysis and knowledge extraction from news articles

   Mohammad Kamel, Neda Keyvani, and Hadi Sadoghi Yazdi

   arXiv preprint arXiv:1808.03027, Feb 2018
4. JMVLS

   Fuzzy Relevance Feedback in the Semantic Image Retrieval.

   Malihe Javidi, Hadi Sadoghi Yazdi, and Hamid Reza Pourreza

   Journal of Multiple-Valued Logic & Soft Computing, Feb 2018
5. IRIEE

   Geometrical Self-Organizing Map Classifier Based on Active Learning for Steganalysis in the Video Environment by Spending at Least a Label

   H Sadoghi Yazdi, A Mohiaddini, and M Khademi

   Nashriyyah-i Muhandisi-i Barq va Muhandisi-i Kampyutar-i Iran, Feb 2018
6. KBS

   Sparse online feature maps

   Nima Salehi-M, Reza Monsefi, and Hadi Sadoghi Yazdi

   Knowledge-Based Systems, Feb 2018
7. EAAI

   Sparse Bayesian similarity learning based on posterior distribution of data

   Davood Zabihzadeh, Reza Monsefi, and Hadi Sadoghi Yazdi

   Engineering Applications of Artificial Intelligence, Feb 2018
8. IRIEE

   Handover Management between Femtocell and Macrocell Using Geo-Based Spectral Clustering

   T Bahraini, M Zamiri, and H Sadoghi Yazdi

   Nashriyyah-i Muhandisi-i Barq va Muhandisi-i Kampyutar-i Iran, Feb 2018
9. ESA

   Robust semi-supervised growing self-organizing map

   Ali Mehrizi, Hadi Sadoghi Yazdi, and Amir Hossein Taherinia

   Expert Systems with Applications, Aug 2018

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   This paper presents a robust semi-supervised growing self-organizing map (GSOM) approach. The proposed method aims to address the challenges faced in machine learning tasks, specifically classification in the presence of both labeled and unlabeled data. By integrating unsupervised and supervised learning components, the proposed GSOM method enhances the adaptability and accuracy of learning, even with a limited amount of labeled data. The robustness of the proposed approach is demonstrated through extensive experiments across several benchmark datasets, showing superior performance compared to traditional semi-supervised techniques.

2017

1. IEEE and GRSL

   Improving signal subspace identification using weighted graph structure of data

   Saeid Gholinejad, Rouzbeh Shad, Hadi Sadoghi Yazdi, and 1 more author

   IEEE Geoscience and Remote Sensing Letters, Aug 2017

   
2. IEEE NNLS

   Universal approximation by using the correntropy objective function

   Mojtaba Nayyeri, Hadi Sadoghi Yazdi, Alaleh Maskooki, and 1 more author

   IEEE transactions on neural networks and learning systems, Aug 2017

   
3. IJMC

   Label denoising based on Bayesian aggregation

   Parsa Bagherzadeh, and Hadi Sadoghi Yazdi

   International Journal of Machine Learning and Cybernetics, Aug 2017
4. KSCE

   Introducing prior knowledge for a hybrid accident prediction model

   Ali Mansourkhaki, Abolfazl Karimpour, and Hadi Sadoghi Yazdi

   KSCE Journal of Civil Engineering, Aug 2017
5. Enhancing performance of graphics processing units through better scheduling of concurrent kernels

   SeyedKazem Shekofteh, Hamid Noori, Mahmoud Naghibzadeh, and 2 more authors

   In 2017 ISC High Performance, Aug 2017
6. PICET

   Non-stationary concept of accident prediction

   Ali Mansourkhaki, Abolfazl Karimpour, and Hadi Sadoghi Yazdi

   In Proceedings of the Institution of Civil Engineers-Transport, Aug 2017

2016

1. ISC

   Kalman filtering based on the maximum correntropy criterion in the presence of non-Gaussian noise

   Reza Izanloo, Seyed Abolfazl Fakoorian, Hadi Sadoghi Yazdi, and 1 more author

   In 2016 Annual Conference on Information Science and Systems (CISS), Aug 2016

   
2. ICCKE

   Hierarchical cooperation of experts in learning from crowds

   Mahla Esmaeily, Hadi Sadoghi Yazdi, Saeid Abbassi, and 1 more author

   In 2016 6th International Conference on Computer and Knowledge Engineering (ICCKE), Aug 2016
3. IJMC

   Large symmetric margin instance selection algorithm

   Javad Hamidzadeh, Reza Monsefi, and Hadi Sadoghi Yazdi

   International Journal of Machine Learning and Cybernetics, Feb 2016

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   In instance-based classifiers, there is a need for storing a large number of samples as a training set. In this paper, we propose a large symmetric margin instance selection algorithm, namely LAMIS. LAMIS removes non-border (interior) instances and keeps border ones. This paper presents an instance selection process through formulating it as a constrained binary optimization problem and solves it by employment filled function algorithm. Instance-based learning algorithms are often confronted with the problem of deciding which instances must be stored for use during an actual test. Storing too many instances can result in large memory requirements and slow execution. In LAMIS, the core of instance selection process is based on keeping the hyperplane that separates a two-class data, to provide large margin separation. LAMIS selects the most representative instances, satisfying both objectives: high accuracy and reduction rates. The performance has been evaluated on real world data sets from UCI repository by the ten-fold cross-validation method. The results of experiments have been compared with state-of-the-art methods, where the overall results, show the superiority of the proposed method in terms of classification accuracy and reduction percentage.

4. arXiv

   Active robust learning

   Hossein Ghafarian, and Hadi Sadoghi Yazdi

   arXiv preprint arXiv:1608.07159, Feb 2016
5. IRIEE

   Sentiment Analysis of Persian Documents using Optimal Transform Domain

   A Pourmasoumi, H Sadoghi Yazdi, H Ghaemi, and 1 more author

   Nashriyyah-i Muhandisi-i Barq va Muhandisi-i Kampyutar-i Iran, Feb 2016
6. arXiv

   Outlier absorbing based on a Bayesian approach

   Parsa Bagherzadeh, and Hadi Sadoghi Yazdi

   arXiv preprint arXiv:1607.00466, Feb 2016
7. JIST

   Efficient Land-cover Segmentation Using Meta Fusion

   Hadi Mahdipour Hossein Abad, Morteza Khademi, and Hadi Sadoghi Yazdi

   Journal of Information Systems and Telecommunication, Feb 2016

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8. IDA

   Semi-supervised GSOM integrated with extreme learning machine

   Ali Mehrizi, and Hadi Sadoghi Yazdi

   Intelligent Data Analysis, Jun 2016

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   Semi-supervised learning with a growing self-organizing map (GSOM) is commonly used to cope with the machine learning problems...

9. arXiv

   Fuzzy Constraints Linear Discriminant Analysis

   Hamid Reza Hassanzadeh, Hadi Sadoghi Yazdi, and Abedin Vahedian

   arXiv preprint arXiv:1612.09593, Jun 2016
10. IRIEE

    Particle Filter with Adaptive Observation Model

    H Haeri, and H Sadoghi Yazdi

    Nashriyyah-i Muhandisi-i Barq va Muhandisi-i Kampyutar-i Iran, Jun 2016

2015

1. WN

   Anomaly detection and foresight response strategy for wireless sensor networks

   Mohammad GhasemiGol, Abbas Ghaemi-Bafghi, Mohammad Hossein Yaghmaee-Moghaddam, and 1 more author

   Wireless Networks, Jun 2015
2. Neurocomputing

   Constrained semi-supervised growing self-organizing map

   Amin Allahyar, Hadi Sadoghi Yazdi, and Ahad Harati

   Neurocomputing, Jun 2015
3. NPL

   Fuzzy min–max neural network for learning a classifier with symmetric margin

   Yahya Forghani, and Hadi Sadoghi Yazdi

   Neural Processing Letters, Jun 2015
4. CI

   Robust Support Vector Machines with Low Test Time

   Yahya Forghani, and Hadi Sadoghi Yazdi

   Computational Intelligence, Jun 2015
5. PR

   IRAHC: Instance Reduction Algorithm using Hyperrectangle Clustering

   Javad Hamidzadeh, Reza Monsefi, and Hadi Sadoghi Yazdi

   Pattern Recognition, May 2015

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   In instance-based classifiers, there is a need for storing a large number of samples as training set. In this work, we propose an instance reduction method based on hyperrectangle clustering, called Instance Reduction Algorithm using Hyperrectangle Clustering (IRAHC). IRAHC removes non-border (interior) instances and keeps border and near border ones. This paper presents an instance reduction process based on hyperrectangle clustering. A hyperrectangle is an n-dimensional rectangle with axes aligned sides, which is defined by min and max points and a corresponding distance function. The min–max points are determined by using the hyperrectangle clustering algorithm. Instance-based learning algorithms are often confronted with the problem of deciding which instances must be stored to be used during an actual test. Storing too many instances can result in a large memory requirements and a slow execution speed. In IRAHC, core of instance reduction process is based on set of hyperrectangles. The performance has been evaluated on real world data sets from UCI repository by the 10-fold cross-validation method. The results of the experiments have been compared with state-of-the-art methods, which show superiority of the proposed method in terms of classification accuracy and reduction percentage.

2014

1. IEEE BHI

   Temporal and spatial monitoring and prediction of epidemic outbreaks

   Amin Zamiri, Hadi Sadoghi Yazdi, and Sepideh Afkhami Goli

   IEEE journal of biomedical and health informatics, May 2014

   
2. NCA

   Multiclass classifier based on boundary complexity

   Hamid Reza Ghaffari, and Hadi Sadoghi Yazdi

   Neural Computing and Applications, May 2014
3. IJMLC

   Online neural network model for non-stationary and imbalanced data stream classification

   Adel Ghazikhani, Reza Monsefi, and Hadi Sadoghi Yazdi

   International journal of machine learning and cybernetics, May 2014
4. Neurocomputing

   LMIRA: Large Margin Instance Reduction Algorithm

   Javad Hamidzadeh, Reza Monsefi, and Hadi Sadoghi Yazdi

   Neurocomputing, Dec 2014

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   In instance-based learning, a training set is given to a classifier for classifying new instances. In practice, not all information in the training set is useful for classifiers. Therefore, it is convenient to discard irrelevant instances from the training set. This process is known as instance reduction, which is an important task for classifiers since through this process the time for classification or training could be reduced. In this paper, we propose a Large Margin Instance Reduction Algorithm, namely LMIRA. LMIRA removes non-border instances and keeps border ones. In the proposed method, the instance reduction process is formulated as a constrained binary optimization problem and then it is solved by employing a filled function algorithm. Instance-based learning algorithms are often confronted with the difficulty of choosing those instances which must be stored to be used during an actual test. Storing too many instances can result in large memory requirements and slow execution. In LMIRA, core of instance reduction process is based on keeping the hyperplane that separates a two-class data and provides large margin separation. LMIRA selects the most representative instances, satisfying both following objectives: high accuracy and reduction rates. The performance has been evaluated on real world data sets from UCI repository by the ten-fold cross-validation method. The results of experiments are compared with state-of-the-art methods, which show the superiority of proposed method in terms of classification accuracy and reduction percentage.

5. NN

   Robust support vector machine-trained fuzzy system

   Yahya Forghani, and Hadi Sadoghi Yazdi

   Neural Networks, Dec 2014
6. JCAM

   A recursive algorithm for optimizing differentiation

   Ali Mashreghi, and Hadi Sadoghi Yazdi

   Journal of computational and applied mathematics, Dec 2014
7. Hierarchical tree clustering of fuzzy number

   Hadi Sadoghi Yazdi, Mohammad GhasemiGol, Sohrab Effati, and 2 more authors

   Journal of Intelligent & Fuzzy Systems, Dec 2014

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8. Online discriminative component analysis feature extraction from stream data with domain knowledge

   Amin Allahyar, and Hadi Sadoghi Yazdi

   Intelligent Data Analysis, Dec 2014

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2013

1. Neurocomputing

   Ensemble of online neural networks for non-stationary and imbalanced data streams

   Adel Ghazikhani, Reza Monsefi, and Hadi Sadoghi Yazdi

   Neurocomputing, Dec 2013

   
2. Recursive least square perceptron model for non-stationary and imbalanced data stream classification

   Adel Ghazikhani, Reza Monsefi, and Hadi Sadoghi Yazdi

   Evolving Systems, Dec 2013

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3. Online cost-sensitive neural network classifiers for non-stationary and imbalanced data streams

   Adel Ghazikhani, Reza Monsefi, and Hadi Sadoghi Yazdi

   Neural Computing and Applications, Dec 2013

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4. Prediction of Elastic Modulus of Concrete Using Support Vector Committee Method

   Javad Sadoghi Yazdi, Farzin Kalantary, and Hadi Sadoghi Yazdi

   Journal of Materials in Civil Engineering, Dec 2013

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5. Gravitation based classification

   Parsazad Shafigh, Sadoghi Yazdi Hadi, and Effati Sohrab

   Information Sciences, Dec 2013

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6. Fuzzy clustering algorithm for fuzzy data based on α-cuts

   S. Effati, H. Sadoghi Yazdi, and A. Jiryani Sharahi

   Journal of Intelligent & Fuzzy Systems, Dec 2013

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7. Vector fuzzy C-means

   Mahdipour Hadi, Khademi Morteza, and Sadoghi Yazdi Hadi

   Journal of Intelligent & Fuzzy Systems, Dec 2013

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8. A Novel Neuron in Kernel Domain

   Zahra Khandan, and Hadi Sadoghi Yazdi

   ISRN Signal Processing, Dec 2013

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9. Classification of fuzzy data based on the support vector machines

   Yahya Forghani, Hadi Sadoghi Yazdi, and Sohrab Effati

   Expert Systems, Dec 2013

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10. Constrained classifier: a novel approach to nonlinear classification

    H. Abbassi, R. Monsefi, and H. Sadoghi Yazdi

    Neural Computing and Applications, Dec 2013

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11. Investigation on the Effect of Data Imbalance on Prediction of Liquefaction

    Javad Sadoghi Yazdi, Farzin Kalantary, and Hadi Sadoghi Yazdi

    International Journal of Geomechanics, Dec 2013

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12. Activity Recognition In Smart Home Using Weighted Dempster-Shafer Theory

    Elham Javadi, Behzad Moshiri, and Hadi Sadoghi Yazdi

    International Journal of Smart Home, Dec 2013

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13. Financial Distress Prediction of Iranian Companies Using Data Mining Techniques

    Mahdi Moradi, Mahdi Salehi, Mohammad Ebrahim Ghorgani, and 1 more author

    Organizacija, Dec 2013

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2012

1. NCA

   DDC: distance-based decision classifier

   Javad Hamidzadeh, Reza Monsefi, and Hadi Sadoghi Yazdi

   Neural Computing and Applications , Nov 2012

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   This paper presents a new classification method utilizing distance-based decision surface with nearest neighbor projection approach, called DDC. Kernel type of DDC has been extended to take into account the effective nonlinear structure of the data. DDC has some properties: (1) does not need conventional learning procedure (as k-NN algorithm), (2) does not need searching time to locate the k-nearest neighbors, and (3) does not need optimization process unlike some classification methods such as Support Vector Machine (SVM). In DDC, we compute the weighted average of distances to all the training samples. Unclassified sample will be classified as belonging to a class that has the minimum obtained distance. As a result, by such a rule we can derive a formula that can be used as the decision surface. DDC is tested on both synthetic and real-world data sets from the UCI repository, and the results were compared with k-NN, RBF Network, and SVM. The experimental results indicate DDC outperforms k-NN in the most experiments and the results are comparable to or better than SVM with some data sets.

2. Class imbalance handling using wrapper-based random oversampling

   Adel Ghazikhani, Hadi Sadoghi Yazdi, and Reza Monsefi

   In 20th Iranian Conference on Electrical Engineering (ICEE2012), Nov 2012

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3. Calibration of Soil Model Parameters Using Particle Swarm Optimization

   J. Sadoghi Yazdi, F. Kalantary, and H. Sadoghi Yazdi

   International Journal of Geomechanics, Nov 2012

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4. A target-based color space for sea target detection

   Saeed Mirghasemi, Hadi Sadoghi Yazdi, and Mojtaba Lotfizad

   Applied Intelligence, Nov 2012

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5. An extension to fuzzy support vector data description (FSVDD*)

   Y. Forghani, H. Sadoghi Yazdi, and S. Effati

   Pattern Analysis and Applications, Nov 2012

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6. Relaxed constraints support vector machine

   Mostafa Sabzekar, Hadi Sadoghi Yazdi, and Mahmoud Naghibzadeh

   Expert Systems, Nov 2012

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7. SVBO: Support Vector-Based Oversampling for handling class imbalance in k-NN

   Adel Ghazikhani, Reza Monsefi, and Hadi Sadoghi Yazdi

   In 20th Iranian Conference on Electrical Engineering (ICEE2012), Nov 2012

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8. Constraint excluded classifier

   H. Abbassi, R. Monsefi, and H. Sadoghi Yazdi

   In The 16th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP 2012), Nov 2012

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9. Prediction of liquefaction potential based on CPT up-sampling

   Javad Sadoghi Yazdi, Farzin Kalantary, and Hadi Sadoghi Yazdi

   Computers & Geosciences, Nov 2012

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10. Ordinary differential equations solution in kernel space

    Hadi Sadoghi Yazdi, Hamed Modaghegh, and Morteza Pakdaman

    Neural Computing and Applications, Nov 2012

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11. Going Concern Prediction of Iranian Companies by Using Fuzzy C-Means

    Mahdi Moradi, Mahdi Salehi, Hadi Sadoghi Yazdi, and 1 more author

    Open Journal of Accounting, Nov 2012

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12. Model-based fuzzy c-shells clustering

    Hadi Hossein-Abad Mahdipour, Morteza Khademi, and Hadi Yazdi Sadoghi

    Neural Computing and Applications, Nov 2012

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13. Gait Recognition Based on Invariant Leg Classification Using a Neuro-Fuzzy Algorithm as the Fusion Method

    Hadi Sadoghi Yazdi, Hessam Jahani Fariman, and Jaber Roohi

    ISRN Artificial Intelligence, Nov 2012

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14. Making Diversity Enhancement Based on Multiple Classifier System by Weight Tuning

    Mehdi Salkhordeh Haghighi, Abedin Vahedian, and Hadi Sadoghi Yazdi

    Neural Processing Letters, Nov 2012

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15. Quasi Support Vector Data Description (QSVDD)

    Yonos Allahyari, and Hadi Sadoghi-Yazdi

    International Journal of Signal Processing, Image Processing and Pattern Recognition, Nov 2012

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2011

1. IJSPIPPR

   Feature selection in spectral clustering

   Soheila Ashkezari Toussi, and Hadi Sadoghi Yazdi

   International Journal of Signal Processing, Image Processing and Pattern Recognition, Nov 2011

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   Spectral clustering is a powerful technique in clustering specially when the structure of data is not linear and classical clustering methods lead to fail. In this paper, we propose a spectral clustering algorithm with a feature selection schema based on extracted features of Kernel PCA. In the proposed algorithm, selecting appropriate vectors is dependent upon entropy of clusters on these vectors and weighting method is influenced by sum of the existence gap between clusters and entropy of the vectors. Tuning the parameters has a great effect on the results of spectral clustering techniques. In the ideal case, comparing our method with NJW and Kernel K-Means indicate the successful of the proposed algorithm.

2. IJSPIPPR

   Edge/corner programming

   Hadi Sadoghi Yazdi, and Soheila Ashkezari Toussi

   International Journal of Signal Processing, Image Processing and Pattern Recognition, Apr 2011

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   Many vision tasks are based on edge/corner detection. We propose some rules and utilize them to find suitable window for edge/corner detection by using quadratic programming. Experimental results over synthetic images and real images show satisfactory outcomes.

3. Unsupervised kernel least mean square algorithm for solving ordinary differential equations

   Hadi Sadoghi Yazdi, Morteza Pakdaman, and Hamed Modaghegh

   Neurocomputing, Apr 2011

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4. Creating and measuring diversity in multiple classifier systems using support vector data description

   Mehdi Salkhordeh Haghighi, Abedin Vahedian, and Hadi Sadoghi Yazdi

   Applied Soft Computing, Apr 2011

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5. Correlation based splitting criterionin multi branch decision tree

   Nima Salehi-Moghaddami, Hadi Yazdi, and Hanieh Poostchi

   Open Computer Science, Apr 2011

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6. Relaxed constraints support vector machines for noisy data

   Mostafa Sabzekar, Hadi Sadoghi Yazdi, and Mahmoud Naghibzadeh

   Neural Computing and Applications, Apr 2011

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7. Fuzzy support vector regression

   Yahya Forghani, Reza Sigari Tabrizi, Hadi Sadoghi Yazdi, and 1 more author

   In 2011 1st International eConference on Computer and Knowledge Engineering (ICCKE), Apr 2011

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8. Classification of imprecise data using interval Fisher discriminator

   Jafar Mansouri, Hadi Sadoghi Yazdi, and Morteza Khademi

   International Journal of Intelligent Systems, Apr 2011

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9. Shell fitting space for classification

   Mostafa Ghazizadeh Ahsaee, Hadi Sadoghi Yazdi, and Mahmoud Naghibzadeh

   Expert Systems with Applications, Apr 2011

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10. Curve fitting space for classification

    Mostafa Ghazizadeh Ahsaee, Hadi Sadoghi Yazdi, and Mahmoud Naghibzadeh

    Neural Computing and Applications, Apr 2011

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11. Support vector regression with fuzzy target output

    Yahya Forghani, Hadi Sadoghi Yazdi, and Sohrab Effati

    In 2011 1st International eConference on Computer and Knowledge Engineering (ICCKE), Apr 2011

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12. Fuzzy cost support vector regression on the fuzzy samples

    Abedin Vahedian, Mehri Sadoghi Yazdi, Sohrab Effati, and 1 more author

    Applied Intelligence, Apr 2011

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13. Support Vector Data Description by using hyper-ellipse instead of hyper-sphere

    Yahya Forghani, Sohrab Effati, Hadi Sadoghi Yazdi, and 1 more author

    In 2011 1st International eConference on Computer and Knowledge Engineering (ICCKE), Apr 2011

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14. BACKGROUND ESTIMATION IN KERNEL SPACE

    HAMIDREZA BARADARAN KASHANI, HADI SADOGHI YAZDI, and SEYED ALIREZA SEYEDIN

    International Journal of Pattern Recognition and Artificial Intelligence, Apr 2011

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15. FCM-fuzzy rule base: A new rule extraction mechanism

    Hossein Khosravi R, M.H. Yaghmaee Moghaddam, Amirhossein Shahroudi, and 1 more author

    In 2011 International Conference on Innovations in Information Technology, Apr 2011

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16. Computing trust resultant using intervals

    Hassan Shakeri, Abbas Ghaemi Bafghi, and Hadi Sadoghi Yazdi

    In 2011 8th International ISC Conference on Information Security and Cryptology, Apr 2011

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17. SIP Header based Feature Extraction for SPIT Attacks in a Comprehensive ANTI-SPIT Framework

    Hossein Khosraviroshkhari, Mohammad Hossein Yaghmaee Moghaddam, and Hadi Sadoghi Yazdi

    In Modelling and Simulation, Apr 2011

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18. Extended decision template presentation for combining classifiers

    Mehdi Salkhordeh Haghighi, Abedin Vahedian, and Hadi Sadoghi Yazdi

    Expert Systems with Applications, Apr 2011

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19. Extending Dempster Shafer method by multilayer decision template in classifier fusion

    Mehdi Salkhordeh Haghighi, Abedin Vahedian, and Hadi Sadoghi Yazdi

    In 2011 7th International Conference on Information Assurance and Security (IAS), Apr 2011

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20. Eigenvector selection in spectral clustering using Tabu Search

    Soheila Ashkezari Toussi, Hadi Sadoghi Yazdi, Ensie Hajinezhad, and 1 more author

    In 2011 1st International eConference on Computer and Knowledge Engineering (ICCKE), Apr 2011

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2010

1. ASC

   Unsupervised adaptive neural-fuzzy inference system for solving differential equations

   Hadi Sadoghi Yazdi, and Reza Pourreza

   Applied Soft Computing, Apr 2010

   
2. A New Hierarchical Clustering Algorithm on Fuzzy Data (FHCA)

   Mohammad GhasemiGol, Hadi Sadoghi Yazdi, and Reza Monsefi

   International Journal of Computer and Electrical Engineering, Apr 2010

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3. Constraint learning using adaptive neural‐fuzzy inference system

   Hadi Sadoghi Yazdi, Reza Pourreza, and Mehri Sadoghi Yazdi

   International Journal of Intelligent Computing and Cybernetics, Apr 2010

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4. Emphatic Constraints Support Vector Machine

   Mostafa Sabzekar, Hadi Sadoghi Yazdi, Mahmoud Naghibzadeh, and 1 more author

   International Journal of Computer and Electrical Engineering, Apr 2010

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5. Intrusion Detection by Ellipsoid Boundary

   Mohammad GhasemiGol, Reza Monsefi, and Hadi Sadoghi-Yazdi

   Journal of Network and Systems Management, Apr 2010

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6. A New Support Vector Data Description with Fuzzy Constraints

   Mohammad GhasemiGol, Mostafa Sabzekar, Reza Monsefi, and 2 more authors

   In 2010 International Conference on Intelligent Systems, Modelling and Simulation, Apr 2010

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7. Kernel Least Mean Square Features for HMM-Based Signal Recognition

   Seyed Hossein Ghafarian, Hadi Sadoghi Yazdi, and Hamidreza Baradaran Kashani

   International Journal of Computer Theory and Engineering, Apr 2010

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8. Intrusion Detection by New Data Description Method

   Mohammad GhasemiGol, Reza Monsefi, and Hadi Sadoghi Yazdi

   In 2010 International Conference on Intelligent Systems, Modelling and Simulation, Apr 2010

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9. The Wheatstone bridge-based analog adaptive filter with application in echo cancellation

   Hadi Sadoghi Yazdi, and Masoud Rezaei

   Analog Integrated Circuits and Signal Processing, Apr 2010

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10. A Novel Approach in Video Scene Background Estimation

    Hamidreza Baradaran Kashani, Seyed Alireza Seyedin, and Hadi Sadoghi Yazdi

    International Journal of Computer Theory and Engineering, Apr 2010

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11. Linear and Quadratic PSO Based Color Space Conversion for Sea Target Detection

    Saeed mirghasemi, Hadi Sadoghi Yazdi, and Mojtaba Lotfizad

    International Journal of Computer and Electrical Engineering, Apr 2010

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12. A Semantic Feedback Framework for Image Retrieval

    Malihe Javidi, Hamid Reza Pourreza, and Hadi Sadoghi Yazdi

    International Journal of Computer and Electrical Engineering, Apr 2010

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13. Image semantic retrieval using image fuzzification based on weighted relevance feedback

    Sajjad Imandoost, Hadi Sadoghi Yazdi, and Javad Haddadnia

    In 2010 18th Iranian Conference on Electrical Engineering, Apr 2010

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14. Neuro-fuzzy based constraint programming

    Hadi Sadoghi Yazdi, S.E. Hosseini, and Mehri Sadoghi Yazdi

    Applied Mathematical Modelling, Apr 2010

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15. An Empirical Modeling of Companies Using Support Vector Data Description

    Mohammad Ebrahim Gorgani, Mahdi Moradi, and Hadi Sadoghi Yazdi

    International Journal of Trade, Economics and Finance, Apr 2010

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2009

1. IEEE conf.

   ECG arrhythmia classification with support vector machines and genetic algorithm

   Jalal A Nasiri, Mahmoud Naghibzadeh, H Sadoghi Yazdi, and 1 more author

   In 2009 Third UKSim European symposium on computer modeling and simulation, Apr 2009

   
2. IJCEE

   Fuzzy complex system of linear EquationsApplied to circuit analysis

   Taher Rahgooy, Hadi Sadoghi Yazdi, and Reza Monsefi

   International Journal of Computer and Electrical Engineering, Apr 2009

   
3. Intelligent Arrhythmia Detection Using Genetic Algorithm and Emphatic SVM (ESVM)

   Jalal A. Nasiri, Mostafa Sabzekar, H. Sadoghi Yazdi, and 2 more authors

   In 2009 Third UKSim European Symposium on Computer Modeling and Simulation, Apr 2009

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4. Ellipse Support Vector Data Description

   Mohammad GhasemiGol, Reza Monsefi, and Hadi Sadoghi Yazdi

   In Engineering Applications of Neural Networks, Apr 2009

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5. A new modeling algorithm - Normalized Kernel Least Mean Square

   Hamed Modaghegh, Hossein Khosravi R, Saeed Ahoon Manesh, and 1 more author

   In 2009 International Conference on Innovations in Information Technology (IIT), Apr 2009

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6. Emphatic Constraints Support Vector Machines for Multi-class Classification

   Mostafa Sabzekar, Mahmoud Naghibzadeh, Hadi Sadoghi Yazdi, and 1 more author

   In 2009 Third UKSim European Symposium on Computer Modeling and Simulation, Apr 2009

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7. Fuzzy Bayesian Classification of LR Fuzzy Numbers

   Hadi Sadoghi Yazdi, Mehri Sadoghi Yazdi, and Abedin Vahedian

   International Journal of Engineering and Technology, Apr 2009

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8. Best Clustering Around the Color Images

   Seyyed Meysam Hosseini, Hasan Farsi, and Hadi Sadoghi Yazdi

   International Journal of Computer and Electrical Engineering, Apr 2009

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9. Active noise cancellation of variable frequency narrow band noise using mixture of RLS and LMS algorithms

   Hadi Sadoghi Yazdi, Ahmad Mardani Mehrabad, Saeed Mirghasemi, and 1 more author

   International Journal of Signal and Imaging Systems Engineering, Apr 2009

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

    Seyyed Meysam Hosseini, Hadi Sadoghi Yazdi, Saber Amjadi, and 1 more author

    In 2009 International Conference on Digital Image Processing, Apr 2009

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11. SVM-based Relevance Feedback for semantic video retrieval

    Hadi Sadoghi Yazdi, Malihe Javidi, and Hamid Reza Pourreza

    International Journal of Signal and Imaging Systems Engineering, Apr 2009

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12. SURFACE EFFECT CORRECTION OF MOISTURE DETERMINATION BY NEUTRON PROBE USING PSO TECHNIQUE AND MCNP

    ALI ASGHAR MOWLAWI, HADI SADOGHI YAZDI, MEHDI ARGHIANI, and 3 more authors

    International Journal of Computational Methods, Apr 2009

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13. Fuzzy Temperature Control in a Batch Polymerization Reactor Using ANFIS Method

    M Alipoor, M. Zeinali, and H. Sadoghi Yazdi

    International Journal of Engineering and Technology, Apr 2009

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14. A recurrent neural network-based method for training probabilistic Support Vector Machine

    Hadi Sadoghi Yazdi, Sohrab Effati, and Zahra Saberi

    International Journal of Signal and Imaging Systems Engineering, Apr 2009

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15. Particle Swarm Optimization-Based Rectangular Microstrip Antenna Designing

    Hadi Sadoghi Yazdi, and Mehri Sadoghi Yazdi

    International Journal of Computer and Electrical Engineering, Apr 2009

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16. A fair routing protocol using generic utility based approach in Wireless Sensor Networks

    Amir Hossein Mohajerzadeh, Mohammad Hossein Yaghmaee, Hadi Sadoghi Yazdi, and 1 more author

    In 2009 International Conference on Ultra Modern Telecommunications & Workshops, Apr 2009

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17. 1-D chaincode pattern matching for compression of Bi-level printed farsi and arabic textual images

    Hadi Grailu, Mojtaba Lotfizad, and Hadi Sadoghi-Yazdi

    Image and Vision Computing, Apr 2009

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18. A lossy/lossless compression method for printed typeset bi-level text images based on improved pattern matching

    Hadi Grailu, Mojtaba Lotfizad, and Hadi Sadoghi-Yazdi

    International Journal of Document Analysis and Recognition (IJDAR), Apr 2009

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19. Farsi and Arabic document images lossy compression based on the mixed raster content model

    Hadi Grailu, Mojtaba Lotfizad, and Hadi Sadoghi-Yazdi

    International Journal on Document Analysis and Recognition (IJDAR), Apr 2009

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20. An improved pattern matching technique for lossy/lossless compression of binary printed Farsi and Arabic textual images

    Hadi Grailu, Mojtaba Lotfizad, and Hadi Sadoghi‐Yazdi

    International Journal of Intelligent Computing and Cybernetics, Apr 2009

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21. A Hierarchical Possibilistic Clustering

    Mehdi Salkhordeh Haghighi, Hadi Sadoghi Yazdi, and Abedin Vahedian

    International Journal of Computer Theory and Engineering, Apr 2009

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22. Fisher over Fuzzy Samples

    B. Rajaei, H. Sadoghi Yazdi, and S. Effati

    International Journal of Computer Theory and Engineering, Apr 2009

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23. Improved DAG SVM: A New Method for Multi-Class SVM Classification

    Mostafa Sabzekar, Mohammad GhasemiGol, Mahmoud Naghibzadeh, and 1 more author

    In Proceedings of the 2009 International Conference on Artificial Intelligence, ICAI 2009, July 13-16, 2009, Las Vegas Nevada, USA, 2 Volumes, Apr 2009

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24. Preprint

    Designing Kernel Scheme for Classifiers Fusion

    Mehdi Salkhordeh Haghighi, Hadi Sadoghi Yazdi, Abedin Vahedian, and 1 more author

    Apr 2009

    Posted preprint; this record does not establish journal acceptance.

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25. A New Tree Clustering Algorithm for Fuzzy Data Based on Alpha-Cuts

    Mohammad GhasemiGol, Mostafa Sabzekar, Reza Monsefi, and 1 more author

    In Proceedings of the 2009 International Conference on Artificial Intelligence, ICAI 2009, July 13-16, 2009, Las Vegas Nevada, USA, 2 Volumes, Apr 2009

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2008

1. IEEE conf.

   An eigenspace-based approach for human fall detection using integrated time motion image and neural network

   Homa Foroughi, Aabed Naseri, Alireza Saberi, and 1 more author

   In 2008 9th International Conference on Signal Processing, Apr 2008

   
2. IEEE conf.

   A Short Term and Long Term Learning Based on Fuzzy Transaction Repository and Feature Re-Weighting

   Hamid Reza Pourreza, Hadi Sadoghi Yazdi, and Homa Foroughi

   In IEEE Int. Conf. on Intelligent Communication and Processing, Apr 2008

   
3. An eigenspace-based approach for human fall detection using Integrated Time Motion Image and multi-class Support Vector Machine

   Homa Foroughi, Hadi Sadoghi Yazdi, Hamidreza Pourreza, and 1 more author

   In 2008 4th International Conference on Intelligent Computer Communication and Processing, Apr 2008

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4. A PSO Tuning Approach for Lip Detection on Color Images

   Jalal A. Nasiri, M. Amir Moulavi, H. Sadoghi Yazdi, and 2 more authors

   In 2008 Second UKSIM European Symposium on Computer Modeling and Simulation, Apr 2008

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5. An Efficient Parallel Eye Detection Algorithm on Facial Color Images

   Jalal A. Nasiri, M. Amir Moulavi, Sepideh Nazemi Gelyan, and 3 more authors

   In 2008 Ninth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, Apr 2008

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6. Pedestrian tracking using single camera with new extended Kalman filter

   Hadi Sadoghi Yazdi, and Seyyed Ebrahim Hosseini

   International Journal of Intelligent Computing and Cybernetics, Apr 2008

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7. Biomechanical Ingredients Measurement: A New Vision-Based Approach (P102)

   Mohammad Reza Mohammadi, and Hadi Sadoghi Yazdi

   In The Engineering of Sport 7, Apr 2008

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2007

1. The probabilistic constraints in the support vector machine

   Hadi Sadoghi Yazdi, Sohrab Effati, and Zahra Saberi

   Applied Mathematics and Computation, Apr 2007

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2. Quantum Corrections in the Drift-Diffusion Model

   Seyed Ebrahim Hosseini, Rahim Faez, and Hadi Sadoghi Yazdi

   Japanese Journal of Applied Physics, Apr 2007

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3. Using pattern matching for tiling and packing problems

   Mahmood Amintoosi, Hadi Sadoghi Yazdi, Mahmood Fathy, and 1 more author

   European Journal of Operational Research, Apr 2007

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4. Eigenvalue spread criteria in the particle swarm optimization algorithm for solving of constraint parametric problems

   Hadi Sadoghi Yazdi, and Sohrab Effati

   Applied Mathematics and Computation, Apr 2007

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5. A New Quantized Input RLS, QI-RLS, Algorithm

   A. Amiri, M. Fathy, M. Amintoosi, and 1 more author

   In Computational Science and Its Applications – ICCSA 2007, Apr 2007

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2006

1. Car tracking by quantised input LMS, QX-LMS algorithm in traffic scenes

   H. Sadoghi Yazdi, M. Lotfizad, and M. Fathy

   IEE Proceedings - Vision, Image, and Signal Processing, Apr 2006

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2. Duct Modeling Using the Generalized RBF Neural Network for Active Cancellation of Variable Frequency Narrow Band Noise

   Hadi Sadoghi Yazdi, Javad Haddadnia, and Mojtaba Lotfizad

   EURASIP Journal on Advances in Signal Processing, Apr 2006

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2005

1. Modified Clipped LMS Algorithm

   Mojtaba Lotfizad, and Hadi Sadoghi Yazdi

   EURASIP Journal on Advances in Signal Processing, Apr 2005

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2. Clipped Input RLS Applied to Vehicle Tracking

   Hadi Sadoghi Yazdi, Mojtaba Lotfizad, Ehsanollah Kabir, and 1 more author

   EURASIP Journal on Advances in Signal Processing, Apr 2005

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2004

1. Vehicle Tracking at Traffic Scene with Modified RLS

   Hadi Sadoghi Yazdi, Mahmood Fathy, and A. Mojtaba Lotfizad

   In Image Analysis and Recognition, Apr 2004

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