A5019249012- Game Theory and Applications
- Explainable Artificial Intelligence (XAI)
- Adversarial Robustness in Machine Learning
- Qualitative Comparative Analysis Research
- Bayesian Modeling and Causal Inference
- Complex Network Analysis Techniques
- Blind Source Separation Techniques
- Medical Image Segmentation Techniques
- Face and Expression Recognition
- Image Retrieval and Classification Techniques
- Cognitive Science and Mapping
- Sparse and Compressive Sensing Techniques
- Brain Tumor Detection and Classification
- Machine Learning and Data Classification
- Opinion Dynamics and Social Influence
Mississippi State University
2021-2023
University of Tehran
2005-2012
In a wide range of industries and academic fields, artificial intelligence is becoming increasingly prevalent. AI models are taking on more crucial decision-making tasks as they grow in popularity performance. Although models, particularly machine learning successful research, have numerous limitations drawbacks practice. Furthermore, due to the lack transparency behind their behavior, users need understanding how these make specific decisions, especially complex state-of-the-art algorithms....
An N-dimensional game theory–based model for multi-actor predictive analytics is presented in this article. The proposed expands our previous work on two-dimensional group decision analytics. one-dimensional models are used the problems where actors interacting a single issue space only. This less than an ideal assumption since; most cases, players’ strategies may depend dynamics of multiple issues when dealing with other players. In work, expanded to by considering different positions, and...
The use of AI and machine learning models in the industry is rapidly increasing. Because this growth noticeable performance these models, more mission-critical decision-making intelligent systems have been developed. Despite their success, when used for decision-making, solutions a significant drawback: transparency. lack transparency behind behaviors, particularly complex state-of-the-art algorithms, leaves users with little understanding how make specific decisions. To address issue,...
In this paper, we will describe a new method based on Sparse Representation-based Classification (SRC) for face recognition. We have used histogram equalization as preprocessing in order to overcome the illumination variation problem. Using Independent Component Analysis obtained feature vector each image which is robust variations and occlusion. Although SRC against occlusion, it rather slow. By using features with smaller dimensions but enough information, can obtain better recognition...
This article presents a two-dimensional game theory-based model for multi-actor predictive analytics. The expands the current one-dimensional developed by BDM to address prediction in more complex problems. So far, single dimension models have only been able evaluate outcome of problem looking at positions actors regards issue. is while reality, player's strategy may depend on dynamics multiple issues when interacting with other players. In first part this work, formulation presented. Then,...
In this paper, we propose an atlas-based method for hippocampus-amygdala complex segmentation. An atlas is registered on all subjects and its transformation calculated each subject. This applied to the structural segmentation of in construct initial surface A possibility approach introduced process. Two different kinds deformation based edges information obtained from tissue are used find parts complex. new energy defined use information. adopted expand model embed dominant gray matter...
This paper presents a game theory-based method for predicting the outcomes of negotiation and group decision-making problems. We propose an extension to BDM model address problems where actors’ positions are distributed over position spectrum. generalize concept in incorporate continuous actors, enabling them have more flexibility defining their targets. explore different possible functions study role function discuss appropriate distance measures computing between actors. To validate...