Ehsan Nazerfard

Orcid: 0000-0003-2649-3440

According to our database1, Ehsan Nazerfard authored at least 15 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Video violence recognition and localization using a semi-supervised hard attention model.
Expert Syst. Appl., 2023

SegLoc: Visual Self-supervised Learning Scheme for Dense Prediction Tasks of Security Inspection X-ray Images.
CoRR, 2023

Reinforcement Learning-based Mixture of Vision Transformers for Video Violence Recognition.
CoRR, 2023

2022
SSHA: Video Violence Recognition and Localization Using a Semi-Supervised Hard Attention Model.
CoRR, 2022

2021
Cross-subject transfer learning in human activity recognition systems using generative adversarial networks.
Neurocomputing, 2021

Shallow Node Representation Learning using Centrality Indices.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Online human activity recognition employing hierarchical hidden Markov models.
J. Ambient Intell. Humaniz. Comput., 2020

Smart Irrigation IoT Solution using Transfer Learning for Neural Networks.
CoRR, 2020

2018
Activity Recognition Using Hierarchical Hidden Markov Models on Streaming Sensor Data.
Proceedings of the 9th International Symposium on Telecommunications, 2018

2015
CRAFFT: an activity prediction model based on Bayesian networks.
J. Ambient Intell. Humaniz. Comput., 2015

2013
Using Bayesian Networks for Daily Activity Prediction.
Proceedings of the Plan, 2013

2012
Bayesian Networks Structure Learning for Activity Prediction in Smart Homes.
Proceedings of the 2012 Eighth International Conference on Intelligent Environments, 2012

2011
Using Association Rule Mining to Discover Temporal Relations of Daily Activities.
Proceedings of the Toward Useful Services for Elderly and People with Disabilities, 2011

2010
Conditional random fields for activity recognition in smart environments.
Proceedings of the ACM International Health Informatics Symposium, 2010

Discovering Temporal Features and Relations of Activity Patterns.
Proceedings of the ICDMW 2010, 2010


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