User profiles for Mohammad A. Balafar
 | Mohammad Ali Balafarprof of IT University of Tabriz Verified email at tabrizu.ac.ir Cited by 2429 |
Review of brain MRI image segmentation methods
Brain image segmentation is one of the most important parts of clinical diagnostic tools. Brain
images mostly contain noise, inhomogeneity and sometimes deviation. Therefore, accurate …
images mostly contain noise, inhomogeneity and sometimes deviation. Therefore, accurate …
A novel image encryption algorithm based on polynomial combination of chaotic maps and dynamic function generation
Present paper introduces a polynomial combination of one dimensional chaotic maps that is
blended in a dynamic image encryption algorithm. It is special because not only this …
blended in a dynamic image encryption algorithm. It is special because not only this …
A hybrid algorithm using a genetic algorithm and multiagent reinforcement learning heuristic to solve the traveling salesman problem
In recent years, hybrid genetic algorithms (GAs) have received significant interest and are
widely being used to solve real-world problems. The hybridization of heuristic methods aims at …
widely being used to solve real-world problems. The hybridization of heuristic methods aims at …
CGFFCM: Cluster-weight and Group-local Feature-weight learning in Fuzzy C-Means clustering algorithm for color image segmentation
The fuzzy c-means (FCM) algorithm is a popular method for data clustering and image
segmentation. However, the main problem of this algorithm is that it is very sensitive to the …
segmentation. However, the main problem of this algorithm is that it is very sensitive to the …
[HTML][HTML] Topic detection and tracking techniques on Twitter: a systematic review
Social networks are real-time platforms formed by users involving conversations and interactions.
This phenomenon of the new information era results in a very huge amount of data in …
This phenomenon of the new information era results in a very huge amount of data in …
Cy: Chaotic yolo for user intended image encryption and sharing in social media
Social media is an inseparable part of our daily life where we post and share photos and
media related to our life and in some cases we intend to share them between specific people. …
media related to our life and in some cases we intend to share them between specific people. …
Using hybrid artificial intelligence approach based on a neuro-fuzzy system and evolutionary algorithms for modeling landslide susceptibility in East Azerbaijan …
S Abdollahizad, MA Balafar, B Feizizadeh… - Earth Science …, 2021 - Springer
Landslide susceptibility analysis is beneficial information for a wide range of applications,
including land use management plans. The present attempt has shed light on an efficient …
including land use management plans. The present attempt has shed light on an efficient …
Phraseformer: Multimodal key-phrase extraction using transformer and graph embedding
…, M Asgari-Chenaghlu, MA Balafar… - arXiv preprint arXiv …, 2021 - arxiv.org
Background: Keyword extraction is a popular research topic in the field of natural language
processing. Keywords are terms that describe the most relevant information in a document. …
processing. Keywords are terms that describe the most relevant information in a document. …
AMTLDC: a new adversarial multi-source transfer learning framework to diagnosis of COVID-19
H Alhares, J Tanha, MA Balafar - Evolving Systems, 2023 - Springer
In recent years, deep learning techniques have been widely used to diagnose diseases.
However, in some tasks, such as the diagnosis of COVID-19 disease, due to insufficient data, …
However, in some tasks, such as the diagnosis of COVID-19 disease, due to insufficient data, …
RDEIC-LFW-DSS: ResNet-based deep embedded image clustering using local feature weighting and dynamic sample selection mechanism
In existing deep clustering methods, as the model gets deeper, extracted representations
can be deteriorated due to a vanishing gradient, leading to reduced performance. Also, …
can be deteriorated due to a vanishing gradient, leading to reduced performance. Also, …
