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ORCIDNarges Armanfard
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2020 – today
- 2024
[j12]Hadi Hojjati
, Thi Kieu Khanh Ho, Narges Armanfard:
Self-supervised anomaly detection in computer vision and beyond: A survey and outlook. Neural Networks 172: 106106 (2024)- [j11]Mohammadreza Sadeghi, Narges Armanfard:
Deep Multirepresentation Learning for Data Clustering. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15675-15686 (2024) - [c15]Thomas Lai, Thi Kieu Khanh Ho, Narges Armanfard:
Open-Set Multivariate Time-Series Anomaly Detection. ECAI 2024: 2003-2010 - [i14]Dimitrios Sinodinos, Narges Armanfard:
EMA-Net: Efficient Multitask Affinity Learning for Dense Scene Predictions. CoRR abs/2401.11124 (2024) - [i13]Ali Karami, Thi Kieu Khanh Ho, Narges Armanfard:
Graph-Jigsaw Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection. CoRR abs/2403.12172 (2024) - [i12]Mohammadreza Sadeghi, Narges Armanfard:
Deep Clustering with Self-Supervision using Pairwise Similarities. CoRR abs/2405.03590 (2024) - [i11]Mohammadreza Sadeghi, Zihan Wang, Narges Armanfard:
Forward-Backward Knowledge Distillation for Continual Clustering. CoRR abs/2405.19234 (2024) - [i10]Alex Koran, Hadi Hojjati, Narges Armanfard:
Unveiling the Flaws: A Critical Analysis of Initialization Effect on Time Series Anomaly Detection. CoRR abs/2408.06620 (2024) - 2023
- [j10]Bahareh Nikpour, Narges Armanfard:
Spatio-temporal hard attention learning for skeleton-based activity recognition. Pattern Recognit. 139: 109428 (2023) - [j9]Bahareh Nikpour, Narges Armanfard:
Spatial Hard Attention Modeling via Deep Reinforcement Learning for Skeleton-Based Human Activity Recognition. IEEE Trans. Syst. Man Cybern. Syst. 53(7): 4291-4301 (2023) - [c14]Thi Kieu Khanh Ho, Narges Armanfard:
Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis. AAAI 2023: 7866-7874 - [c13]Mohammadreza Sadeghi, Hadi Hojjati, Narges Armanfard:
C3: Cross-instance guided Contrastive Clustering. BMVC 2023: 899-900 - [c12]Hadi Hojjati, Mohammadreza Sadeghi, Narges Armanfard:
Multivariate Time-Series Anomaly Detection with Temporal Self-supervision and Graphs: Application to Vehicle Failure Prediction. ECML/PKDD (7) 2023: 242-259 - [i9]Thi Kieu Khanh Ho, Ali Karami, Narges Armanfard:
Graph-based Time-Series Anomaly Detection: A Survey. CoRR abs/2302.00058 (2023) - [i8]Thi Kieu Khanh Ho, Narges Armanfard:
Multivariate Time-Series Anomaly Detection with Contaminated Data: Application to Physiological Signals. CoRR abs/2308.12563 (2023) - [i7]Bahareh Nikpour, Narges Armanfard:
Explainable Attention for Few-shot Learning and Beyond. CoRR abs/2310.07800 (2023) - [i6]Thomas Lai, Thi Kieu Khanh Ho, Narges Armanfard:
Open-Set Multivariate Time-Series Anomaly Detection. CoRR abs/2310.12294 (2023) - 2022
- [c11]Hadi Hojjati, Narges Armanfard:
Self-Supervised Acoustic Anomaly Detection Via Contrastive Learning. ICASSP 2022: 3253-3257 - [c10]Dimitrios Sinodinos, Narges Armanfard:
Attentive Task Interaction Network for Multi-Task Learning. ICPR 2022: 2885-2891 - [i5]Dimitrios Sinodinos, Narges Armanfard:
Attentive Task Interaction Network for Multi-Task Learning. CoRR abs/2201.10649 (2022) - [i4]Hadi Hojjati, Thi Kieu Khanh Ho, Narges Armanfard:
Self-Supervised Anomaly Detection: A Survey and Outlook. CoRR abs/2205.05173 (2022) - [i3]Thi Kieu Khanh Ho, Narges Armanfard:
Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis. CoRR abs/2208.07448 (2022) - [i2]Mohammadreza Sadeghi, Hadi Hojjati, Narges Armanfard:
C3: Cross-instance guided Contrastive Clustering. CoRR abs/2211.07136 (2022) - 2021
- [j8]Majid Komeili, Narges Armanfard, Dimitrios Hatzinakos:
Multiview Feature Selection for Single-View Classification. IEEE Trans. Pattern Anal. Mach. Intell. 43(10): 3573-3586 (2021) - [c9]Mohammadreza Sadeghi, Narges Armanfard:
IDECF: Improved Deep Embedding Clustering With Deep Fuzzy Supervision. ICIP 2021: 1009-1013 - [c8]Mohammadreza Sadeghi, Narges Armanfard:
Deep Successive Subspace Learning for Data Clustering. IJCNN 2021: 1-8 - [c7]Bahareh Nikpour, Narges Armanfard:
Joint Selection using Deep Reinforcement Learning for Skeleton-based Activity Recognition. SMC 2021: 1056-1061 - [i1]Hadi Hojjati, Narges Armanfard:
DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection. CoRR abs/2106.05410 (2021)
2010 – 2019
- 2019
- [j7]Narges Armanfard, Majid Komeili, James P. Reilly, John F. Connolly:
A Machine Learning Framework for Automatic and Continuous MMN Detection With Preliminary Results for Coma Outcome Prediction. IEEE J. Biomed. Health Informatics 23(4): 1794-1804 (2019) - 2018
- [j6]Majid Komeili, Wael Louis, Narges Armanfard, Dimitrios Hatzinakos:
Feature Selection for Nonstationary Data: Application to Human Recognition Using Medical Biometrics. IEEE Trans. Cybern. 48(5): 1446-1459 (2018) - [j5]Majid Komeili, Narges Armanfard, Dimitrios Hatzinakos:
Liveness Detection and Automatic Template Updating Using Fusion of ECG and Fingerprint. IEEE Trans. Inf. Forensics Secur. 13(7): 1810-1822 (2018) - [j4]Narges Armanfard, James P. Reilly, Majid Komeili:
Logistic Localized Modeling of the Sample Space for Feature Selection and Classification. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1396-1413 (2018) - [c6]Narges Armanfard, Majid Komeili, Alex Mihailidis:
Development of a Smart Home-Based Package for Unobtrusive Physiological Monitoring. EMBC 2018: 4444-4447 - 2016
- [j3]Narges Armanfard, James P. Reilly, Majid Komeili:
Local Feature Selection for Data Classification. IEEE Trans. Pattern Anal. Mach. Intell. 38(6): 1217-1227 (2016) - [c5]Narges Armanfard, Majid Komeili, James P. Reilly, Lou Pino:
Vigilance lapse identification using sparse EEG electrode arrays. CCECE 2016: 1-4 - [c4]Majid Komeili, Wael Louis, Narges Armanfard, Dimitrios Hatzinakos:
On evaluating human recognition using electrocardiogram signals: From rest to exercise. CCECE 2016: 1-4 - [c3]Narges Armanfard, Majid Komeili, James P. Reilly, Richard Mah, John F. Connolly:
Automatic and continuous assessment of ERPs for mismatch negativity detection. EMBC 2016: 969-972 - 2015
- [c2]Majid Komeili, Narges Armanfard, Dimitrios Hatzinakos, Anastasios N. Venetsanopoulos:
Feature selection from multisession electrocardiogram signals for identity verification. CCECE 2015: 603-608 - 2013
- [c1]Narges Armanfard, James P. Reilly:
Classification based on local feature selection via linear programming. MLSP 2013: 1-6 - 2012
- [j2]Narges Armanfard, Majid Komeili, Ehsanollah Kabir:
TED: A texture-edge descriptor for pedestrian detection in video sequences. Pattern Recognit. 45(3): 983-992 (2012) - 2010
- [j1]Sahar Moghimi, Mohammad Hossein Miran Baygi, Giti Torkaman, Ehsanollah Kabir, Ali Mahlooji Far, Narges Armanfard:
Studying pressure sores through illuminant invariant assessment of digital color images. J. Zhejiang Univ. Sci. C 11(8): 598-606 (2010)
Coauthor Index
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last updated on 2024-11-11 22:22 CET by the dblp team
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