Hadi Sadoghi Yazdi

Time series prediction using kalman filter model with bias modification

Farzan Saeedi

M.Sc. | 2023-09-21

Interactive and imitative dynamic modeling for financial time series forecasting using stochastic differential equations

Hamidreza Mortezapour

Ph.D | 2023-09-20

An attention based multi-column convolutional neural network for crowd counting

Mahdi Hashemi

M.Sc. | 2023-09-10

Upgrading single/multi-task distributed adaptive networks utilizing the optimizer's curse concept

Atieh Gharib

Ph.D | 2023-02-26

An investigation on the effect of information over probability density function sets of stock returns /

Ali Forouzan

M.Sc. | 2023-02-26

Financial time series forecasting by experience based adaptive learning

Ali Mehrizi

Ph.D | 2022-11-28

Adaptive kernel density estimation based on gmm model and clustering

Mohammad sadegh Ahmadi

M.Sc. | 2022-09-22

Determining the decision function of classification problems using boundary data detection and reduction for large datasets

Amin Akhlaghi

M.Sc. | 2022-09-22

Visualization of trading volume data based on clustering

Javad Jafari

M.Sc. | 2022-09-22

Detection and recognition the authenticity of similar regions in the image based on multi-scale approach

Manaf Alhaidery

Ph.D | 2022-09-22

Portfolio management based on good behavior of stock

Ahmad Ghorbanipour

M.Sc. | 2022-09-22

Generalized autoencoder

Razieh Amini

M.Sc. | 2022-09-19

Bias modification in learning to rank systems based on the distributions of multi-point views

Sanaz Keshvari

Ph.D | 2022-08-28

Learning signals with robust distributed adaptive filter

Mohmmadjafar Karimi bavani

M.Sc. | 2022-02-13

Improving anomaly detection based on divergence criteria

Fatemehsadat Torabi

M.Sc. | 2021-10-20

Improving the function of facial expression recognition using the canonical kalman filter equation training with the help of dlms filter

Vajiheh Salehinezhad

M.Sc. | 2021-03-09

Adaptive filter for interval time series data with uncertainty

Misaghsadat Hejazi

M.Sc. | 2021-02-18

Distributed learning in adaptive networks based on diversity

Alireza Naeimi sadigh

Ph.D | 2021-01-26

Proposing a recommender system based on bayesian clustering using side information

Fatemeh Rashidi

M.Sc. | 2020-11-08

Rescaled hinge on-line learning of similarity/distance criteria for outlier data resistant using rescaled hinge loss function

Amer kareem Tuama

M.Sc. | 2019-12-22

Title: robust kernel-based quantized entropy nmf method to improve hyperspectral unmixing

Hadi Jamshidi kargar

M.Sc. | 2019-09-22

Active learning in input and parameter space

Hossein Ghafarian

Ph.D | 2019-07-20

Estimation of nonlinear systems with non-gaussian noise , using unknown input filter

Nasrin Soufi

M.Sc. | 2019-05-29

Robust svdd classifier using rescaled hinge loss

Rasool Makassees

M.Sc. | 2019-01-09

Synergistic learning over adaptive networks

Soheila Ashkezari toussi

Ph.D | 2018-12-10

Bayesian filter based on the wisdom of crowds in the presence of biased annotation

Behzad Bakhtiari

Ph.D | 2018-11-03

Labeling facial images for face recognition applications in real-world environments

Nasim Hamidipour

M.Sc. | 2018-09-29

Automated spatial-temporal region of interest detection

Mahnaz Razavi

M.Sc. | 2018-09-22

Driver’s abnormal behavior detection using deep neural network on single board computer

Seyedmohammad Hosseini

M.Sc. | 2018-09-17

Design and construction of an intelligent system detection violations of stationary vehicle with moving camera

Marzieh Mohammadi

M.Sc. | 2018-09-17

Robust passive/aggressive learning based on re-scaled hinge loss

Aqeel shakir radi Zinni

M.Sc. | 2018-09-16

Probabilistic category-based collaborative filtering recommender system

Hadi Kalamati

M.Sc. | 2018-09-13

Approximation of distribution functions with renyi divergence

Farzaneh Namdar siuky

M.Sc. | 2018-09-12

Robust metric learning via re-scaled hinge loss

Ali salim Rasheed

M.Sc. | 2018-05-29

Interacting multiple model algorithm with combined estimation coefficient

Reza Nourbakhsh

M.Sc. | 2017-09-21

Image annotation with combination of concept-dependent encoder-decoder models

Milad Bahrami

M.Sc. | 2017-09-21

Locally-linear crowdsourced classification

Mahla Esmaeily

M.Sc. | 2017-09-17

Short-term traffic speed prediction using an interval type ii fuzzy radial basis function neural network with an extended kalman filter smoother and fuzzy controller

Fatemeh Anbari

M.Sc. | 2017-09-16

Written informal sentiment representation using fusion of similar word vectors for sentiment classification

Fariba Yari

M.Sc. | 2017-09-16

Automatic image annotation using hierarchical alternating least squares

Fadhel mohammed jawad Al - ibadi

M.Sc. | 2017-09-11

Automatic image annotation using block principal pivoting method

Hazim mohammad ali issa Al-rikabi

M.Sc. | 2017-09-11

Label denoising based on bayesian aggregation

Parsa Bagherzadeh

M.Sc. | 2017-05-10

Expectation maximization based on particle filter

Soraj Sadeghtabar

M.Sc. | 2016-09-21

Sampling based on renyi’s divergence applied to large data reduction

Abolfazl Ramezanzadeh yazdi

M.Sc. | 2016-09-21

Improvement of hyperspectral unmixing using ensemble learning

Saeed Gholinejad

M.Sc. | 2016-09-21

The least sum square error followed by prior knowledge

Fariba Pakizehhajiyar

M.Sc. | 2015-12-14

Target tracking using trajectory graph based particle filter

Amin Hashemi

M.Sc. | 2015-09-22

Sample weighting according to geometrical structure based on sparse representation

Ehsan Shams

M.Sc. | 2015-09-21

State estimation based on constraints learning

Reza Izanloo

M.Sc. | 2015-01-29

Density-oriented fisher classifier

Mahboube Ghasempour

M.Sc. | 2014-09-22

Identifying individuals’ personality through their voice

Elnaz Mohammadi

M.Sc. | 2014-09-22

Robust classification models with high generalization and low training time for uncertain data

Yahya Forghani

Ph.D | 2014-06-25

Compact incremental learning machine

Mojtaba Nayyeri

M.Sc. | 2014-03-16

Deductive kalman filter; used in additive abrupt change detection

Seyedmohammadali Majidianvari

M.Sc. | 2013-03-10

Online semi-supervised music recommender

Faraj Mansouri

M.Sc. | 2012-12-14

Learning bayesian structure for data streams

Omid Keivani

M.Sc. | 2012-10-14

Ensemble one-class support vector data description

Neshat Salehi

M.Sc. | 2012-10-01

Adaptive neuron based on kernel least mean square with constraint growth

Zahra Khandan khademoreza

M.Sc. | 2012-08-06

Measurement model estimation in particle filter using klms

Hamideh Haeri

M.Sc. | 2012-07-15

Constrained semi-supervised clustering in growing self organizing map

Amin Allahyar

M.Sc. | 2012-06-17

Scalable multiclass classifier model based on data complexity

Hamid reza Ghaffary

Ph.D | 2012-03-15

Selection and combination of eigenvectors in transform space

Soheila Ashkezari

M.Sc. | 2011-09-05

Gravity centre oriented support vector data description

Yonos Allahyari

M.Sc. | 2011-09-05

A gravitation based classification

Shafigh Parsazad

M.Sc. | 2011-08-14

C4.5 decision tree based on svm cost function

Nima Salehi moghaddami

M.Sc. | 2010-08-01

Dr. Hadi Sadoghi Yazdi

Professor

Filter by:

Time series prediction using kalman filter model with bias modification

Interactive and imitative dynamic modeling for financial time series forecasting using stochastic differential equations

An attention based multi-column convolutional neural network for crowd counting

Upgrading single/multi-task distributed adaptive networks utilizing the optimizer's curse concept

An investigation on the effect of information over probability density function sets of stock returns /

Financial time series forecasting by experience based adaptive learning

Adaptive kernel density estimation based on gmm model and clustering

Determining the decision function of classification problems using boundary data detection and reduction for large datasets

Visualization of trading volume data based on clustering

Detection and recognition the authenticity of similar regions in the image based on multi-scale approach

Portfolio management based on good behavior of stock

Generalized autoencoder

Bias modification in learning to rank systems based on the distributions of multi-point views

Learning signals with robust distributed adaptive filter

Improving anomaly detection based on divergence criteria

Improving the function of facial expression recognition using the canonical kalman filter equation training with the help of dlms filter

Adaptive filter for interval time series data with uncertainty

Distributed learning in adaptive networks based on diversity

Proposing a recommender system based on bayesian clustering using side information

Rescaled hinge on-line learning of similarity/distance criteria for outlier data resistant using rescaled hinge loss function

Title: robust kernel-based quantized entropy nmf method to improve hyperspectral unmixing

Active learning in input and parameter space

Estimation of nonlinear systems with non-gaussian noise , using unknown input filter

Robust svdd classifier using rescaled hinge loss

Synergistic learning over adaptive networks

Bayesian filter based on the wisdom of crowds in the presence of biased annotation

Labeling facial images for face recognition applications in real-world environments

Automated spatial-temporal region of interest detection

Driver’s abnormal behavior detection using deep neural network on single board computer

Design and construction of an intelligent system detection violations of stationary vehicle with moving camera

Robust passive/aggressive learning based on re-scaled hinge loss

Probabilistic category-based collaborative filtering recommender system

Approximation of distribution functions with renyi divergence

Robust metric learning via re-scaled hinge loss

Interacting multiple model algorithm with combined estimation coefficient

Image annotation with combination of concept-dependent encoder-decoder models

Locally-linear crowdsourced classification

Short-term traffic speed prediction using an interval type ii fuzzy radial basis function neural network with an extended kalman filter smoother and fuzzy controller

Written informal sentiment representation using fusion of similar word vectors for sentiment classification

Automatic image annotation using hierarchical alternating least squares

Automatic image annotation using block principal pivoting method

Label denoising based on bayesian aggregation

Expectation maximization based on particle filter

Sampling based on renyi’s divergence applied to large data reduction

Improvement of hyperspectral unmixing using ensemble learning

The least sum square error followed by prior knowledge

Target tracking using trajectory graph based particle filter

Sample weighting according to geometrical structure based on sparse representation

State estimation based on constraints learning

Density-oriented fisher classifier

Identifying individuals’ personality through their voice

Robust classification models with high generalization and low training time for uncertain data

Compact incremental learning machine

Deductive kalman filter; used in additive abrupt change detection

Online semi-supervised music recommender

Learning bayesian structure for data streams

Ensemble one-class support vector data description

Adaptive neuron based on kernel least mean square with constraint growth

Measurement model estimation in particle filter using klms

Constrained semi-supervised clustering in growing self organizing map

Scalable multiclass classifier model based on data complexity

Selection and combination of eigenvectors in transform space

Gravity centre oriented support vector data description

A gravitation based classification

C4.5 decision tree based on svm cost function