36 citations · 41 across the 5 of their papers we have counts for
5 papers
Machine Learning Techniques for Predicting the Short-Term Outcome of Resective Surgery in Lesional-Drug Resistance Epilepsy
Zahra Jourahmad, Jafar Mehvari Habibabadi, Houshang Moein +4
In this study, we developed and tested machine learning models to predict epilepsy surgical outcome using noninvasive clinical and demographic data from patients. Methods: Seven di…
RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC Algorithm
Hamid Gharagozlou, Javad Mohammadzadeh, Azam Bastanfard +1
Answer selection (AS) is a critical subtask of the open-domain question answering (QA) problem. The present paper proposes a method called RLAS-BIABC for AS, which is established o…
Semi-supervised Vector-Quantization in Visual SLAM using HGCN
Amir Zarringhalam, Saeed Shiry Ghidary, Ali Mohades Khorasani
In this paper, two semi-supervised appearance based loop closure detection technique, HGCN-FABMAP and HGCN-BoW are introduced. Furthermore an extension to the current state of the…
Self-supervised Vector-Quantization in Visual SLAM using Deep Convolutional Autoencoders
Amir Zarringhalam, Saeed Shiry Ghidary, Ali Mohades Khorasani
In this paper, we introduce AE-FABMAP, a new self-supervised bag of words-based SLAM method. We also present AE-ORB-SLAM, a modified version of the current state of the art BoW-bas…
A Framework for learning multi-agent dynamic formation strategy in real-time applications
Mehrab Norouzitallab, Valiallah Monajjemi, Saeed Shiry Ghidary +1
Formation strategy is one of the most important parts of many multi-agent systems with many applications in real world problems. In this paper, a framework for learning this task i…