Azam Bastanfard

About Azam Bastanfard

Azam Bastanfard, With an exceptional h-index of 18 and a recent h-index of 16 (since 2020), a distinguished researcher at Islamic Azad University, Karaj Branch, specializes in the field of Audio and Video processing, multimedia database, Edutainment, multimedia processing, Gamification.

His recent articles reflect a diverse array of research interests and contributions to the field:

Crowdsourcing of labeling image objects: an online gamification application for data collection

Adjustable method based on body parts for improving the accuracy of 3D reconstruction in visually important body parts from silhouettes

Speech emotion recognition in Persian based on stacked autoencoder by comparing local and global features

A Hierarchical modified AV1 Codec for Compression Cartesian form of Holograms in Holo and Object planes

Semantic Relation Extraction: A Review of Approaches, Datasets, and Evaluation Methods With Looking at the Methods and Datasets in the Persian Language

The Persian Piano Corpus: A Collection Of Instrument-Based Feature Extracted Data Considering Dastgah

A gamified approach for improving the learning performance of K-6 students using Easter eggs

OBGESS: Automating Original Bender Gestalt Test Based on One Stage Deep Learning

Azam Bastanfard Information

University

Position

Head of Computer Graduate studies computer department .ac.ir

Citations(all)

1057

Citations(since 2020)

765

Cited By

407

hIndex(all)

18

hIndex(since 2020)

16

i10Index(all)

32

i10Index(since 2020)

27

Email

University Profile Page

Google Scholar

Azam Bastanfard Skills & Research Interests

Audio and Video processing

multimedia database

Edutainment

multimedia processing

Gamification

Top articles of Azam Bastanfard

Title

Journal

Author(s)

Publication Date

Crowdsourcing of labeling image objects: an online gamification application for data collection

Multimedia Tools and Applications

Azam Bastanfard

Mohammad Shahabipour

Dariush Amirkhani

2023/8/4

Adjustable method based on body parts for improving the accuracy of 3D reconstruction in visually important body parts from silhouettes

Multimedia Tools and Applications

Aref Hemati

Azam Bastanfard

2023/7/27

Speech emotion recognition in Persian based on stacked autoencoder by comparing local and global features

Multimedia Tools and Applications

Azam Bastanfard

Alireza Abbasian

2023/9

A Hierarchical modified AV1 Codec for Compression Cartesian form of Holograms in Holo and Object planes

Multimedia Tools and Applications

Vahid Hajihashemi

Abdoreza Alavi Gharahbagh

Azam Bastanfard

Hugo S Oliveira

Gonçalo Almeida

...

2023/3

Semantic Relation Extraction: A Review of Approaches, Datasets, and Evaluation Methods With Looking at the Methods and Datasets in the Persian Language

Hamid Gharagozlou

Javad Mohammadzadeh

Azam Bastanfard

Saeed Shiry Ghidary

2023/7/20

The Persian Piano Corpus: A Collection Of Instrument-Based Feature Extracted Data Considering Dastgah

arXiv preprint arXiv:2311.11074

Parsa Rasouli

Azam Bastanfard

2023/11/18

A gamified approach for improving the learning performance of K-6 students using Easter eggs

Multimedia Tools and Applications

Yazdan Takbiri

Azam Bastanfard

Amineh Amini

2023/5

OBGESS: Automating Original Bender Gestalt Test Based on One Stage Deep Learning

International Journal of Computational Intelligence Systems

Maryam Fathi Ahmadsaraei

Azam Bastanfard

Amineh Amini

2023/11/13

TRCLA: a transfer learning approach to reduce negative transfer for cellular learning automata

IEEE transactions on neural networks and learning systems

Seyyed Amir Hadi Minoofam

Azam Bastanfard

Mohammad Reza Keyvanpour

2021/9/2

Child Psychological Drawing Pattern Detection on OBGET Dataset, a case study on accuracy Based on MYOLO v5 and MResNet 50

Multimedia Tools and Applications

Maryam Fathi Ahmadsaraei

Azam Bastanfard

Amineh Amini

2023/10/7

Arabic Handwritten Recognition Using Hybrid CNN, HMM and an Intelligent Network Based on Dentate Gyrus of the Brain.

International Journal of Information & Communication Technology Research (2251-6107)

Nazal Modhej

Mohammad Teshnehlab

Azam Bastanfard

Somayeh Raiesdana

2023/4/1

Genes expression Dimensions reduction for Cancer classification based on optimized deep neural network with Giza pyramid construction

Masoumeh Motevalli Alamuti

Madjid Khalilian

Azam Bastanfard

2023/10/3

Research Article RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC Algorithm

Hamid Gharagozlou

Javad Mohammadzadeh

Azam Bastanfard

Saeed Shiry Ghidary

2022

A Hybrid Seed Node Selection and No-Retracing Random Walk in Page Rank Algorithm

International Journal of Web Research

Azam Bastanfard

Ali Kheradbeygi Moghadam

Ali Fallahi RahmatAbadi

2022/6/1

Improving Random Walk Sampling, Inspired by Two Methods of Choosing Seed Node And No-Retracing With Combination of them with Page Rank Algorithm

Ali Kheradbeygi Moghadam

Azam Bastanfard

2022/5/11

Building Movie Recommender Systems Utilizing Poster's Visual Features: A Survey Study

Ali Fallahi Rahmatabadi

Azam Bastanfard

Amineh Amini

Hadi Saboohi

2022/11/22

RLAS-BIABC: A reinforcement learning-based answer selection using the bert model boosted by an improved ABC algorithm

Computational Intelligence and Neuroscience

Hamid Gharagozlou

Javad Mohammadzadeh

Azam Bastanfard

Saeed Shiry Ghidary

2022/5/6

Computational Pattern Separation Models of Dentate Gyrus Neural Subpopulation in the Hippocampus

Caspian Journal of Neurological Sciences

Nazal Modhej

Azam Bastanfard

Mohammad Teshnehlab

Somayeh Raiesdana

2022/9/10

Collecting a database for emotional responses to simple and patterned two-color images

Multimedia Tools and Applications

Abbas MirMashhouri

Azam Bastanfard

Dariush Amirkhani

2022/5

Deep Emotion Detection Sentiment Analysis of Persian Literary Text

Azadeh Khodaei

Azam Bastanfard

Hadi Saboohi

Hossein Aligholizadeh

2022/7/5

See List of Professors in Azam Bastanfard University(Islamic Azad University, Karaj Branch)

Co-Authors

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