activity
20182022
most citedSpell Correction for Azerbaijani Language using Deep Neural Networks

8 citations · 23 across the 10 of their papers we have counts for

collaborators

13 papers

cs.LG2022★ 2 cited

A Combination of Deep Neural Networks and K-Nearest Neighbors for Credit Card Fraud Detection

Dinara Rzayeva, Saber Malekzadeh

Detection of a Fraud transaction on credit cards became one of the major problems for financial institutions, organizations and companies. As the global financial system is highly…

eess.IV2021

Hippocampus segmentation in magnetic resonance images of Alzheimer's patients using Deep machine learning

Hossein Yousefi-Banaem, Saber Malekzadeh

Background: Alzheimers disease is a progressive neurodegenerative disorder and the main cause of dementia in aging. Hippocampus is prone to changes in the early stages of Alzheimer…

cs.CV2021

Virtual Dress Swap Using Landmark Detection

Odar Zeynal, Saber Malekzadeh

Online shopping has gained popularity recently. This paper addresses one crucial problem of buying dress online, which has not been solved yet. This research tries to implement the…

cs.CV2021

Video Action Recognition Using spatio-temporal optical flow video frames

Aytekin Nebisoy, Saber Malekzadeh

Recognizing human actions based on videos has became one of the most popular areas of research in computer vision in recent years. This area has many applications such as surveilla…

cs.CL2021★ 8 cited

Spell Correction for Azerbaijani Language using Deep Neural Networks

Ahmad Ahmadzade, Saber Malekzadeh

Spell correction is used to detect and correct orthographic mistakes in texts. Most of the time, traditional dictionary lookup with string similarity methods is suitable for the la…

cs.SD2019★ 1 cited

Phoneme-Based Persian Speech Recognition

Saber Malekzadeh

Undoubtedly, one of the most important issues in computer science is intelligent speech recognition. In these systems, computers try to detect and respond to the speeches they are…

cs.SD2019

Classical Music Generation in Distinct Dastgahs with AlimNet ACGAN

Saber Malekzadeh, Maryam Samami, Shahla RezazadehAzar +1

In this paper AlimNet (With respect to great musician, Alim Qasimov) an auxiliary generative adversarial deep neural network (ACGAN) for generating music categorically, is used. Th…

cs.SD2019★ 2 cited

Instrument-Independent Dastgah Recognition of Iranian Classical Music Using AzarNet

Shahla RezezadehAzar, Ali Ahmadi, Saber Malekzadeh +1

In this paper, AzarNet, a deep neural network (DNN), is proposed to recognizing seven different Dastgahs of Iranian classical music in Maryam Iranian classical music (MICM) dataset…

physics.ins-det2019★ 2 cited

Application of image processing in optical method, Moire deflectometry for investigating the optical properties of zinc oxide nanoparticle

Fatemeh Jamal, Fatemeh Ahmadi, Mohammad Khanzadeh +1

Nowadays for measurement of refractive index of nanomaterials usually spectro-photometric and mechanical methods are used which are expensive and indirect. In this paper for measur…

cs.CR2018★ 2 cited

A Fast Combination of AES Encryption and LZ4 Compression Algorithms

Saber Malekzadeh

From a long time ago, beside encryption of data and making it secure, compression packing it was also important that could make transmission of data faster. In the past years need…

cs.LG2018

Fuzzy Controller of Reward of Reinforcement Learning For Handwritten Digit Recognition

Saber Malekzadeh

Recognition of human environment with computer systems always was a big deal in artificial intelligence. In this area handwriting recognition and conceptualization of it to compute…

cs.SD2018★ 4 cited

Persian Vowel recognition with MFCC and ANN on PCVC speech dataset

Saber Malekzadeh, Mohammad Hossein Gholizadeh, Seyed Naser Razavi

In this paper a new method for recognition of consonant-vowel phonemes combination on a new Persian speech dataset titled as PCVC (Persian Consonant-Vowel Combination) is proposed…

eess.AS2018★ 2 cited

The Recognition Of Persian Phonemes Using PPNet

Saber Malekzadeh, Mohammad Hossein Gholizadeh, Hossein Ghayoumi zadeh +1

In this paper, a novel approach is proposed for the recognition of Persian phonemes in the Persian Consonant-Vowel Combination (PCVC) speech dataset. Nowadays, deep neural networks…