4 citations · 21 across the 13 of their papers we have counts for
16 papers
Regime-Aware Portfolio Management via Retrieval-Augmented LLM-Guided Expert Switching
Ahmad Asadi, Reza Safabakhsh
Financial markets are inherently non-stationary, making the effectiveness of individual portfolio-management strategies highly dependent on changing market conditions. This work pr…
On Continuity of Robust and Accurate Classifiers
Ramin Barati, Reza Safabakhsh, Mohammad Rahmati
The reliability of a learning model is key to the successful deployment of machine learning in various applications. However, it is difficult to describe the phenomenon due to the…
X-CapsNet For Fake News Detection
Mohammad Hadi Goldani, Reza Safabakhsh, Saeedeh Momtazi
News consumption has significantly increased with the growing popularity and use of web-based forums and social media. This sets the stage for misinforming and confusing people. To…
An Analytic Framework for Robust Training of Artificial Neural Networks
Ramin Barati, Reza Safabakhsh, Mohammad Rahmati
The reliability of a learning model is key to the successful deployment of machine learning in various industries. Creating a robust model, particularly one unaffected by adversari…
Using Decision Tree as Local Interpretable Model in Autoencoder-based LIME
Niloofar Ranjbar, Reza Safabakhsh
Nowadays, deep neural networks are being used in many domains because of their high accuracy results. However, they are considered as "black box", means that they are not explainab…
Towards Explaining Adversarial Examples Phenomenon in Artificial Neural Networks
Ramin Barati, Reza Safabakhsh, Mohammad Rahmati
In this paper, we study the adversarial examples existence and adversarial training from the standpoint of convergence and provide evidence that pointwise convergence in ANNs can e…
Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks
Amirhossein Nouranizadeh, Mohammadjavad Matinkia, Mohammad Rahmati +1
In this paper, we propose a novel pooling layer for graph neural networks based on maximizing the mutual information between the pooled graph and the input graph. Since the maximum…
A Reinforcement Learning Based Encoder-Decoder Framework for Learning Stock Trading Rules
Mehran Taghian, Ahmad Asadi, Reza Safabakhsh
A wide variety of deep reinforcement learning (DRL) models have recently been proposed to learn profitable investment strategies. The rules learned by these models outperform the p…
Learning Financial Asset-Specific Trading Rules via Deep Reinforcement Learning
Mehran Taghian, Ahmad Asadi, Reza Safabakhsh
Generating asset-specific trading signals based on the financial conditions of the assets is one of the challenging problems in automated trading. Various asset trading rules are p…
Detecting Fake News with Capsule Neural Networks
Mohammad Hadi Goldani, Saeedeh Momtazi, Reza Safabakhsh
Fake news is dramatically increased in social media in recent years. This has prompted the need for effective fake news detection algorithms. Capsule neural networks have been succ…
A Deep Decoder Structure Based on WordEmbedding Regression for An Encoder-Decoder Based Model for Image Captioning
Ahmad Asadi, Reza Safabakhsh
Generating textual descriptions for images has been an attractive problem for the computer vision and natural language processing researchers in recent years. Dozens of models base…
Novel Adaptive Genetic Algorithm Sample Consensus
Ehsan Shojaedini, Mahshid Majd, Reza Safabakhsh
Random sample consensus (RANSAC) is a successful algorithm in model fitting applications. It is vital to have strong exploration phase when there are an enormous amount of outliers…
A new adaptive method for hiding data in images
Kazem Qazanfari, Reza Safabaksh
LSB method is one of the well-known steganography methods which hides the message bits into the least significant bit of pixel values. This method changes the statistical informati…
An Improvement on LSB Matching and LSB Matching Revisited Steganography Methods
Kazem Qazanfari, Reza Safabakhsh
The aim of the steganography methods is to communicate securely in a completely undetectable manner. LSB Matching and LSB Matching Revisited steganography methods are two general a…
Robust Stereo Feature Descriptor for Visual Odometry
Ehsan Shojaedini, Reza Safabakhsh
In this paper, we propose a simple way to utilize stereo camera data to improve feature descriptors. Computer vision algorithms that use a stereo camera require some calculations o…
Exponential Natural Particle Filter
Ghazal Zand, Mojtaba Taherkhani, Reza Safabakhsh
Particle Filter algorithm (PF) suffers from some problems such as the loss of particle diversity, the need for large number of particles, and the costly selection of the importance…