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Ehsan Nazerfard
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2020 – today
- 2024
- [j5]Ehsan Nazerfard
:
Temporal features and relations discovery of activities from sensor data. J. Ambient Intell. Humaniz. Comput. 15(3): 1911-1926 (2024) - 2023
- [j4]Hamid Mohammadi
, Ehsan Nazerfard
:
Video violence recognition and localization using a semi-supervised hard attention model. Expert Syst. Appl. 212: 118791 (2023) - [i7]Hamid Mohammadi, Ehsan Nazerfard, Tahereh Firoozi:
Reinforcement Learning-based Mixture of Vision Transformers for Video Violence Recognition. CoRR abs/2310.03108 (2023) - [i6]Shervin Halat, Mohammad Rahmati, Ehsan Nazerfard:
SegLoc: Visual Self-supervised Learning Scheme for Dense Prediction Tasks of Security Inspection X-ray Images. CoRR abs/2310.08421 (2023) - 2022
- [i5]Hamid Mohammadi, Ehsan Nazerfard:
SSHA: Video Violence Recognition and Localization Using a Semi-Supervised Hard Attention Model. CoRR abs/2202.02212 (2022) - 2021
- [j3]Elnaz Soleimani, Ehsan Nazerfard
:
Cross-subject transfer learning in human activity recognition systems using generative adversarial networks. Neurocomputing 426: 26-34 (2021) - [c7]Masoud Malek, Mostafa Haghir Chehreghani, Ehsan Nazerfard, Morteza Haghir Chehreghani:
Shallow Node Representation Learning using Centrality Indices. IEEE BigData 2021: 5209-5214 - 2020
- [j2]Parviz Asghari, Elnaz Soleimani, Ehsan Nazerfard
:
Online human activity recognition employing hierarchical hidden Markov models. J. Ambient Intell. Humaniz. Comput. 11(3): 1141-1152 (2020) - [i4]Ali Risheh, Amirmohammad Jalili, Ehsan Nazerfard:
Smart Irrigation IoT Solution using Transfer Learning for Neural Networks. CoRR abs/2009.12747 (2020)
2010 – 2019
- 2019
- [i3]Parviz Asghari, Elnaz Soleimani, Ehsan Nazerfard:
Online Human Activity Recognition Employing Hierarchical Hidden Markov Models. CoRR abs/1903.04820 (2019) - [i2]Elnaz Soleimani, Ehsan Nazerfard:
Cross-Subject Transfer Learning in Human Activity Recognition Systems using Generative Adversarial Networks. CoRR abs/1903.12489 (2019) - 2018
- [c6]Parviz Asghari, Ehsan Nazerfard:
Activity Recognition Using Hierarchical Hidden Markov Models on Streaming Sensor Data. IST 2018: 416-420 - [i1]Parviz Asghari, Ehsan Nazerfard:
Activity Recognition using Hierarchical Hidden Markov Models on Streaming Sensor Data. CoRR abs/1810.05504 (2018) - 2015
- [j1]Ehsan Nazerfard
, Diane J. Cook:
CRAFFT: an activity prediction model based on Bayesian networks. J. Ambient Intell. Humaniz. Comput. 6(2): 193-205 (2015) - 2013
- [c5]Ehsan Nazerfard, Diane J. Cook:
Using Bayesian Networks for Daily Activity Prediction. AAAI Workshop: Plan, Activity, and Intent Recognition 2013 - 2012
- [c4]Ehsan Nazerfard, Diane J. Cook:
Bayesian Networks Structure Learning for Activity Prediction in Smart Homes. Intelligent Environments 2012: 50-56 - 2011
- [c3]Ehsan Nazerfard
, Parisa Rashidi
, Diane J. Cook:
Using Association Rule Mining to Discover Temporal Relations of Daily Activities. ICOST 2011: 49-56 - 2010
- [c2]Ehsan Nazerfard
, Parisa Rashidi
, Diane J. Cook:
Discovering Temporal Features and Relations of Activity Patterns. ICDM Workshops 2010: 1069-1075 - [c1]Ehsan Nazerfard, Barnan Das, Lawrence B. Holder, Diane J. Cook:
Conditional random fields for activity recognition in smart environments. IHI 2010: 282-286
Coauthor Index
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