37 citations · 90 across the 9 of their papers we have counts for
9 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…
Real-Time Activity Recognition and Intention Recognition Using a Vision-based Embedded System
Sahar Darafsh, Saeed Shiry Ghidary, Morteza Saheb Zamani
With the rapid increase in digital technologies, most fields of study include recognition of human activity and intention recognition, which are essential in smart environments. In…
EEG Representation Using Multi-instance Framework on The Manifold of Symmetric Positive Definite Matrices for EEG-based Computer Aided Diagnosis
Khadijeh Sadatnejad, Saeed S. Ghidary, Reza Rostami +1
The generalization and robustness of an electroencephalogram (EEG)-based computer aided diagnostic system are crucial requirements in actual clinical practice. To reach these goals…
Graph-Based Semi-Supervised Conditional Random Fields For Spoken Language Understanding Using Unaligned Data
Mohammad Aliannejadi, Masoud Kiaeeha, Shahram Khadivi +1
We experiment graph-based Semi-Supervised Learning (SSL) of Conditional Random Fields (CRF) for the application of Spoken Language Understanding (SLU) on unaligned data. The aligne…
Dimensionality reduction based on Distance Preservation to Local Mean (DPLM) for SPD matrices and its application in BCI
Alireza Davoudi, Saeed Shiry Ghidary, Khadijeh Sadatnejad
In this paper, we propose a nonlinear dimensionality reduction algorithm for the manifold of Symmetric Positive Definite (SPD) matrices that considers the geometry of SPD matrices…
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…