Narges Armanfard

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 35

Top Topics

Anomaly Detection

Outcome Prediction

Reinforcement Learning

Feature Selection

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Mohammadreza Sadeghi, Narges Armanfard
Deep Clustering with Self-Supervision using Pairwise Similarities. CoRR (2024)
Ali Karami, Thi Kieu Khanh Ho, Narges Armanfard
Graph-Jigsaw Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection. CoRR (2024)
Mohammadreza Sadeghi, Zihan Wang, Narges Armanfard
Forward-Backward Knowledge Distillation for Continual Clustering. CoRR (2024)
Dimitrios Sinodinos, Narges Armanfard
EMA-Net: Efficient Multitask Affinity Learning for Dense Scene Predictions. CoRR (2024)
Hadi Hojjati, Thi Kieu Khanh Ho, Narges Armanfard
Self-supervised anomaly detection in computer vision and beyond: A survey and outlook. Neural Networks 172 (2024)
Bahareh Nikpour, Narges Armanfard
Spatio-temporal hard attention learning for skeleton-based activity recognition. Pattern Recognit. 139 (2023)
Thi Kieu Khanh Ho, Narges Armanfard
Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis. AAAI (2023)
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)
Bahareh Nikpour, Narges Armanfard
Explainable Attention for Few-shot Learning and Beyond. CoRR (2023)
Thomas Lai, Thi Kieu Khanh Ho, Narges Armanfard
Open-Set Multivariate Time-Series Anomaly Detection. CoRR (2023)
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) (2023)
Thi Kieu Khanh Ho, Narges Armanfard
Multivariate Time-Series Anomaly Detection with Contaminated Data: Application to Physiological Signals. CoRR (2023)
Mohammadreza Sadeghi, Hadi Hojjati, Narges Armanfard
C3: Cross-instance guided Contrastive Clustering. BMVC (2023)
Thi Kieu Khanh Ho, Ali Karami, Narges Armanfard
Graph-based Time-Series Anomaly Detection: A Survey. CoRR (2023)
Thi Kieu Khanh Ho, Narges Armanfard
Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis. CoRR (2022)
Hadi Hojjati, Thi Kieu Khanh Ho, Narges Armanfard
Self-Supervised Anomaly Detection: A Survey and Outlook. CoRR (2022)
Mohammadreza Sadeghi, Hadi Hojjati, Narges Armanfard
C3: Cross-instance guided Contrastive Clustering. CoRR (2022)
Dimitrios Sinodinos, Narges Armanfard
Attentive Task Interaction Network for Multi-Task Learning. CoRR (2022)
Hadi Hojjati, Narges Armanfard
Self-Supervised Acoustic Anomaly Detection Via Contrastive Learning. ICASSP (2022)
Dimitrios Sinodinos, Narges Armanfard
Attentive Task Interaction Network for Multi-Task Learning. ICPR (2022)
Mohammadreza Sadeghi, Narges Armanfard
IDECF: Improved Deep Embedding Clustering With Deep Fuzzy Supervision. ICIP (2021)
Hadi Hojjati, Narges Armanfard
DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection. CoRR (2021)
Mohammadreza Sadeghi, Narges Armanfard
Deep Successive Subspace Learning for Data Clustering. IJCNN (2021)
Bahareh Nikpour, Narges Armanfard
Joint Selection using Deep Reinforcement Learning for Skeleton-based Activity Recognition. SMC (2021)
Majid Komeili, Narges Armanfard, Dimitrios Hatzinakos
Multiview Feature Selection for Single-View Classification. IEEE Trans. Pattern Anal. Mach. Intell. 43 (10) (2021)
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) (2019)
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) (2018)
Narges Armanfard, Majid Komeili, Alex Mihailidis
Development of a Smart Home-Based Package for Unobtrusive Physiological Monitoring. EMBC (2018)
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) (2018)
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) (2018)
Majid Komeili, Wael Louis, Narges Armanfard, Dimitrios Hatzinakos
On evaluating human recognition using electrocardiogram signals: From rest to exercise. CCECE (2016)
Narges Armanfard, Majid Komeili, James P. Reilly, Lou Pino
Vigilance lapse identification using sparse EEG electrode arrays. CCECE (2016)
Narges Armanfard, Majid Komeili, James P. Reilly, Richard Mah, John F. Connolly
Automatic and continuous assessment of ERPs for mismatch negativity detection. EMBC (2016)
Narges Armanfard, James P. Reilly, Majid Komeili
Local Feature Selection for Data Classification. IEEE Trans. Pattern Anal. Mach. Intell. 38 (6) (2016)
Majid Komeili, Narges Armanfard, Dimitrios Hatzinakos, Anastasios N. Venetsanopoulos
Feature selection from multisession electrocardiogram signals for identity verification. CCECE (2015)
Narges Armanfard, James P. Reilly
Classification based on local feature selection via linear programming. MLSP (2013)
Narges Armanfard, Majid Komeili, Ehsanollah Kabir
TED: A texture-edge descriptor for pedestrian detection in video sequences. Pattern Recognit. 45 (3) (2012)
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) (2010)