148 citations · 160 across the 7 of their papers we have counts for
7 papers
Anchor-based oversampling for imbalanced tabular data via contrastive and adversarial learning
Hadi Mohammadi, Ehsan Nazerfard, Mostafa Haghir Chehreghani
Imbalanced data represent a distribution with more frequencies of one class (majority) than the other (minority). This phenomenon occurs across various domains, such as security, m…
Reinforcement Learning-based Mixture of Vision Transformers for Video Violence Recognition
Hamid Mohammadi, Ehsan Nazerfard, Tahereh Firoozi
Video violence recognition based on deep learning concerns accurate yet scalable human violence recognition. Currently, most state-of-the-art video violence recognition studies use…
Video Violence Recognition and Localization Using a Semi-Supervised Hard Attention Model
Hamid Mohammadi, Ehsan Nazerfard
The significant growth of surveillance camera networks necessitates scalable AI solutions to efficiently analyze the large amount of video data produced by these networks. As a typ…
Smart Irrigation IoT Solution using Transfer Learning for Neural Networks
A. Risheh, A. Jalili, E. Nazerfard
In this paper we develop a reliable system for smart irrigation of greenhouses using artificial neural networks, and an IoT architecture. Our solution uses four sensors in differen…
Cross-Subject Transfer Learning in Human Activity Recognition Systems using Generative Adversarial Networks
Elnaz Soleimani, Ehsan Nazerfard
Application of intelligent systems especially in smart homes and health-related topics has been drawing more attention in the last decades. Training Human Activity Recognition (HAR…
Online Human Activity Recognition Employing Hierarchical Hidden Markov Models
Parviz Asghari, Elnaz Soelimani, Ehsan Nazerfard
In the last few years there has been a growing interest in Human Activity Recognition~(HAR) topic. Sensor-based HAR approaches, in particular, has been gaining more popularity owin…