Studying pressure sores through illuminant invariant assessment of digital color images. - Sahar Moghimi; Mohammad Hossein Miran Baygi; Giti Torkaman; Ehsanollah Kabir; Ali Mahlooji Far; Narges Armanfard (J. Zhejiang Univ. Sci. C, 2010)

TED: A texture-edge descriptor for pedestrian detection in video sequences. - Narges Armanfard; Majid Komeili; Ehsanollah Kabir (Pattern Recognit., 2012)

Classification based on local feature selection via linear programming. - Narges Armanfard; James P. Reilly (MLSP, 2013)

Feature selection from multisession electrocardiogram signals for identity verification. - Majid Komeili; Narges Armanfard; Dimitrios Hatzinakos; Anastasios N. Venetsanopoulos (CCECE, 2015)

Vigilance lapse identification using sparse EEG electrode arrays. - Narges Armanfard; Majid Komeili; James P. Reilly; Lou Pino (CCECE, 2016)

On evaluating human recognition using electrocardiogram signals: From rest to exercise. - Majid Komeili; Wael Louis; Narges Armanfard; Dimitrios Hatzinakos (CCECE, 2016)

Automatic and continuous assessment of ERPs for mismatch negativity detection. - Narges Armanfard; Majid Komeili; James P. Reilly; Richard Mah; John F. Connolly (EMBC, 2016)

Local Feature Selection for Data Classification. - Narges Armanfard; James P. Reilly; Majid Komeili (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Development of a Smart Home-Based Package for Unobtrusive Physiological Monitoring. - Narges Armanfard; Majid Komeili; Alex Mihailidis (EMBC, 2018)

Feature Selection for Nonstationary Data: Application to Human Recognition Using Medical Biometrics. - Majid Komeili; Wael Louis; Narges Armanfard; Dimitrios Hatzinakos (IEEE Trans. Cybern., 2018)

Liveness Detection and Automatic Template Updating Using Fusion of ECG and Fingerprint. - Majid Komeili; Narges Armanfard; Dimitrios Hatzinakos (IEEE Trans. Inf. Forensics Secur., 2018)

Logistic Localized Modeling of the Sample Space for Feature Selection and Classification. - Narges Armanfard; James P. Reilly; Majid Komeili (IEEE Trans. Neural Networks Learn. Syst., 2018)

A Machine Learning Framework for Automatic and Continuous MMN Detection With Preliminary Results for Coma Outcome Prediction. - Narges Armanfard; Majid Komeili; James P. Reilly; John F. Connolly (IEEE J. Biomed. Health Informatics, 2019)

IDECF: Improved Deep Embedding Clustering With Deep Fuzzy Supervision. - Mohammadreza Sadeghi; Narges Armanfard (ICIP, 2021)

Deep Successive Subspace Learning for Data Clustering. - Mohammadreza Sadeghi; Narges Armanfard (IJCNN, 2021)

Joint Selection using Deep Reinforcement Learning for Skeleton-based Activity Recognition. - Bahareh Nikpour; Narges Armanfard (SMC, 2021)

Multiview Feature Selection for Single-View Classification. - Majid Komeili; Narges Armanfard; Dimitrios Hatzinakos (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Self-Supervised Acoustic Anomaly Detection Via Contrastive Learning. - Hadi Hojjati; Narges Armanfard (ICASSP, 2022)

Attentive Task Interaction Network for Multi-Task Learning. - Dimitrios Sinodinos; Narges Armanfard (ICPR, 2022)

Self-Supervised Anomaly Detection: A Survey and Outlook. - Hadi Hojjati; Thi Kieu Khanh Ho; Narges Armanfard (CoRR, 2022)

Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis. - Thi Kieu Khanh Ho; Narges Armanfard (AAAI, 2023)

C3: Cross-instance guided Contrastive Clustering. - Mohammadreza Sadeghi; Hadi Hojjati; Narges Armanfard (BMVC, 2023)

Multivariate Time-Series Anomaly Detection with Temporal Self-supervision and Graphs: Application to Vehicle Failure Prediction. - Hadi Hojjati; Mohammadreza Sadeghi; Narges Armanfard (ECML/PKDD (7), 2023)

Graph-based Time-Series Anomaly Detection: A Survey. - Thi Kieu Khanh Ho; Ali Karami; Narges Armanfard (CoRR, 2023)

Multivariate Time-Series Anomaly Detection with Contaminated Data: Application to Physiological Signals. - Thi Kieu Khanh Ho; Narges Armanfard (CoRR, 2023)

Explainable Attention for Few-shot Learning and Beyond. - Bahareh Nikpour; Narges Armanfard (CoRR, 2023)

Spatio-temporal hard attention learning for skeleton-based activity recognition. - Bahareh Nikpour; Narges Armanfard (Pattern Recognit., 2023)

Spatial Hard Attention Modeling via Deep Reinforcement Learning for Skeleton-Based Human Activity Recognition. - Bahareh Nikpour; Narges Armanfard (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Open-Set Multivariate Time-Series Anomaly Detection. - Thomas Lai; Thi Kieu Khanh Ho; Narges Armanfard (ECAI, 2024)

EMA-Net: Efficient Multitask Affinity Learning for Dense Scene Predictions. - Dimitrios Sinodinos; Narges Armanfard (CoRR, 2024)

Deep Clustering with Self-Supervision using Pairwise Similarities. - Mohammadreza Sadeghi; Narges Armanfard (CoRR, 2024)

Forward-Backward Knowledge Distillation for Continual Clustering. - Mohammadreza Sadeghi; Zihan Wang; Narges Armanfard (CoRR, 2024)

Unveiling the Flaws: A Critical Analysis of Initialization Effect on Time Series Anomaly Detection. - Alex Koran; Hadi Hojjati; Narges Armanfard (CoRR, 2024)

Self-supervised anomaly detection in computer vision and beyond: A survey and outlook. - Hadi Hojjati; Thi Kieu Khanh Ho; Narges Armanfard (Neural Networks, 2024)

DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection. - Hadi Hojjati; Narges Armanfard (IEEE Trans. Knowl. Data Eng., 2024)

Deep Multirepresentation Learning for Data Clustering. - Mohammadreza Sadeghi; Narges Armanfard (IEEE Trans. Neural Networks Learn. Syst., 2024)

Contaminated Multivariate Time-Series Anomaly Detection with Spatio-Temporal Graph Conditional Diffusion Models. - Thi Kieu Khanh Ho; Narges Armanfard (UAI, 2025)

Graph-Jigsaw Conditioned Diffusion Model for Skeleton-Based Video Anomaly Detection. - Ali Karami; Thi Kieu Khanh Ho; Narges Armanfard (WACV, 2025)

Cross-Task Affinity Learning for Multitask Dense Scene Predictions. - Dimitrios Sinodinos; Narges Armanfard (WACV, 2025)

Deep Reinforcement Learning in Human Activity Recognition: A Survey and Outlook. - Bahareh Nikpour; Dimitrios Sinodinos; Narges Armanfard (IEEE Trans. Neural Networks Learn. Syst., 2025)

Graph Anomaly Detection in Time Series: A Survey. - Thi Kieu Khanh Ho; Ali Karami; Narges Armanfard (IEEE Trans. Pattern Anal. Mach. Intell., 2025)