Narges Armanfard

Orcid: 0000-0002-5880-906X

According to our database1, Narges Armanfard authored at least 32 papers between 2010 and 2024.

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

Timeline

Legend:

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Links

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Bibliography

2024
Graph-Jigsaw Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection.
CoRR, 2024

EMA-Net: Efficient Multitask Affinity Learning for Dense Scene Predictions.
CoRR, 2024

2023
Spatial Hard Attention Modeling via Deep Reinforcement Learning for Skeleton-Based Human Activity Recognition.
IEEE Trans. Syst. Man Cybern. Syst., July, 2023

Spatio-temporal hard attention learning for skeleton-based activity recognition.
Pattern Recognit., July, 2023

Open-Set Multivariate Time-Series Anomaly Detection.
CoRR, 2023

Explainable Attention for Few-shot Learning and Beyond.
CoRR, 2023

Multivariate Time-Series Anomaly Detection with Contaminated Data: Application to Physiological Signals.
CoRR, 2023

Graph-based Time-Series Anomaly Detection: A Survey.
CoRR, 2023

Multivariate Time-Series Anomaly Detection with Temporal Self-supervision and Graphs: Application to Vehicle Failure Prediction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

C3: Cross-instance guided Contrastive Clustering.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Self-Supervised Anomaly Detection: A Survey and Outlook.
CoRR, 2022

Attentive Task Interaction Network for Multi-Task Learning.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Self-Supervised Acoustic Anomaly Detection Via Contrastive Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Multiview Feature Selection for Single-View Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection.
CoRR, 2021

Joint Selection using Deep Reinforcement Learning for Skeleton-based Activity Recognition.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Deep Successive Subspace Learning for Data Clustering.
Proceedings of the International Joint Conference on Neural Networks, 2021

IDECF: Improved Deep Embedding Clustering With Deep Fuzzy Supervision.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2019
A Machine Learning Framework for Automatic and Continuous MMN Detection With Preliminary Results for Coma Outcome Prediction.
IEEE J. Biomed. Health Informatics, 2019

2018
Logistic Localized Modeling of the Sample Space for Feature Selection and Classification.
IEEE Trans. Neural Networks Learn. Syst., 2018

Liveness Detection and Automatic Template Updating Using Fusion of ECG and Fingerprint.
IEEE Trans. Inf. Forensics Secur., 2018

Feature Selection for Nonstationary Data: Application to Human Recognition Using Medical Biometrics.
IEEE Trans. Cybern., 2018

Development of a Smart Home-Based Package for Unobtrusive Physiological Monitoring.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2016
Local Feature Selection for Data Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Automatic and continuous assessment of ERPs for mismatch negativity detection.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

On evaluating human recognition using electrocardiogram signals: From rest to exercise.
Proceedings of the 2016 IEEE Canadian Conference on Electrical and Computer Engineering, 2016

Vigilance lapse identification using sparse EEG electrode arrays.
Proceedings of the 2016 IEEE Canadian Conference on Electrical and Computer Engineering, 2016

2015
Feature selection from multisession electrocardiogram signals for identity verification.
Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015

2013
Classification based on local feature selection via linear programming.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

2012
TED: A texture-edge descriptor for pedestrian detection in video sequences.
Pattern Recognit., 2012

2010
Studying pressure sores through illuminant invariant assessment of digital color images.
J. Zhejiang Univ. Sci. C, 2010


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