Narges Armanfard

56 papers A* 2A 5B 4Misc 1Journal 37Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adversarial-Robust Multivariate Time-Series Anomaly Detection via Joint Information Retention. CoRR Hadi Hojjati, Narges Armanfard
2026	J	`jnl`	Collision-Aware Vision-Language Learning for End-to-End Driving with Multimodal Infraction Datasets. CoRR Alex Koran, Dimitrios Sinodinos, Hadi Hojjati, Takuya Nanri, Fangge Chen, Narges Armanfard
2026	J	`jnl`	EngineAD: A Real-World Vehicle Engine Anomaly Detection Dataset. CoRR Hadi Hojjati, Christopher Roth, Rory Woods, Ken Sills, Narges Armanfard
2026	J	`jnl`	ICLAD: In-Context Learning for Unified Tabular Anomaly Detection Across Supervision Regimes. CoRR Jack Yi Wei, Narges Armanfard
2026	A*	`conf`	MultiTab: A Scalable Foundation for Multitask Learning on Tabular Data. AAAI Dimitrios Sinodinos, Jack Yi Wei, Narges Armanfard
2026	J	`jnl`	Multitask-Informed Prior for In-Context Learning on Tabular Data: Application to Steel Property Prediction. CoRR Dimitrios Sinodinos, Bahareh Nikpour, Jack Yi Wei, Sushant Sinha, Xiaoping Ma, Kashif Rehman, Stephen Yue, Narges Armanfard
2025	A	`conf`	Contaminated Multivariate Time-Series Anomaly Detection with Spatio-Temporal Graph Conditional Diffusion Models. UAI Thi Kieu Khanh Ho, Narges Armanfard
2025	A	`conf`	Cross-Task Affinity Learning for Multitask Dense Scene Predictions. WACV Dimitrios Sinodinos, Narges Armanfard
2025	J	`jnl`	Deep Clustering With Self-Supervision Using Pairwise Similarities. IEEE Access Mohammadreza Sadeghi, Sareh Soleimani Gilakjani, Narges Armanfard
2025	J	`jnl`	Deep Reinforcement Learning in Human Activity Recognition: A Survey and Outlook. IEEE Trans. Neural Networks Learn. Syst. Bahareh Nikpour, Dimitrios Sinodinos, Narges Armanfard
2025	J	`jnl`	Graph Anomaly Detection in Time Series: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. Thi Kieu Khanh Ho, Ali Karami, Narges Armanfard
2025	A	`conf`	Graph-Jigsaw Conditioned Diffusion Model for Skeleton-Based Video Anomaly Detection. WACV Ali Karami, Thi Kieu Khanh Ho, Narges Armanfard
2025	J	`jnl`	MultiTab: A Scalable Foundation for Multitask Learning on Tabular Data. CoRR Dimitrios Sinodinos, Jack Yi Wei, Narges Armanfard
2025	J	`jnl`	Zero-Shot Anomaly Detection with Dual-Branch Prompt Selection. CoRR Zihan Wang, Samira Ebrahimi Kahou, Narges Armanfard
2024	J	`jnl`	DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection. IEEE Trans. Knowl. Data Eng. Hadi Hojjati, Narges Armanfard
2024	J	`jnl`	Deep Clustering with Self-Supervision using Pairwise Similarities. CoRR Mohammadreza Sadeghi, Narges Armanfard
2024	J	`jnl`	Deep Multirepresentation Learning for Data Clustering. IEEE Trans. Neural Networks Learn. Syst. Mohammadreza Sadeghi, Narges Armanfard
2024	J	`jnl`	EMA-Net: Efficient Multitask Affinity Learning for Dense Scene Predictions. CoRR Dimitrios Sinodinos, Narges Armanfard
2024	J	`jnl`	Forward-Backward Knowledge Distillation for Continual Clustering. CoRR Mohammadreza Sadeghi, Zihan Wang, Narges Armanfard
2024	J	`jnl`	Graph-Jigsaw Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection. CoRR Ali Karami, Thi Kieu Khanh Ho, Narges Armanfard
2024	A	`conf`	Open-Set Multivariate Time-Series Anomaly Detection. ECAI Thomas Lai, Thi Kieu Khanh Ho, Narges Armanfard
2024	J	`jnl`	Self-supervised anomaly detection in computer vision and beyond: A survey and outlook. Neural Networks Hadi Hojjati, Thi Kieu Khanh Ho, Narges Armanfard
2024	J	`jnl`	Unveiling the Flaws: A Critical Analysis of Initialization Effect on Time Series Anomaly Detection. CoRR Alex Koran, Hadi Hojjati, Narges Armanfard
2023	A	`conf`	C3: Cross-instance guided Contrastive Clustering. BMVC Mohammadreza Sadeghi, Hadi Hojjati, Narges Armanfard
2023	J	`jnl`	Explainable Attention for Few-shot Learning and Beyond. CoRR Bahareh Nikpour, Narges Armanfard
2023	J	`jnl`	Graph-based Time-Series Anomaly Detection: A Survey. CoRR Thi Kieu Khanh Ho, Ali Karami, Narges Armanfard
2023	J	`jnl`	Multivariate Time-Series Anomaly Detection with Contaminated Data: Application to Physiological Signals. CoRR Thi Kieu Khanh Ho, Narges Armanfard
2023	—	`conf`	Multivariate Time-Series Anomaly Detection with Temporal Self-supervision and Graphs: Application to Vehicle Failure Prediction. ECML/PKDD (7) Hadi Hojjati, Mohammadreza Sadeghi, Narges Armanfard
2023	J	`jnl`	Open-Set Multivariate Time-Series Anomaly Detection. CoRR Thomas Lai, Thi Kieu Khanh Ho, Narges Armanfard
2023	A*	`conf`	Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis. AAAI Thi Kieu Khanh Ho, Narges Armanfard
2023	J	`jnl`	Spatial Hard Attention Modeling via Deep Reinforcement Learning for Skeleton-Based Human Activity Recognition. IEEE Trans. Syst. Man Cybern. Syst. Bahareh Nikpour, Narges Armanfard
2023	J	`jnl`	Spatio-temporal hard attention learning for skeleton-based activity recognition. Pattern Recognit. Bahareh Nikpour, Narges Armanfard
2022	B	`conf`	Attentive Task Interaction Network for Multi-Task Learning. ICPR Dimitrios Sinodinos, Narges Armanfard
2022	J	`jnl`	Attentive Task Interaction Network for Multi-Task Learning. CoRR Dimitrios Sinodinos, Narges Armanfard
2022	J	`jnl`	C3: Cross-instance guided Contrastive Clustering. CoRR Mohammadreza Sadeghi, Hadi Hojjati, Narges Armanfard
2022	Misc	`conf`	Self-Supervised Acoustic Anomaly Detection Via Contrastive Learning. ICASSP Hadi Hojjati, Narges Armanfard
2022	J	`jnl`	Self-Supervised Anomaly Detection: A Survey and Outlook. CoRR Hadi Hojjati, Thi Kieu Khanh Ho, Narges Armanfard
2022	J	`jnl`	Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis. CoRR Thi Kieu Khanh Ho, Narges Armanfard
2021	J	`jnl`	DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection. CoRR Hadi Hojjati, Narges Armanfard
2021	B	`conf`	Deep Successive Subspace Learning for Data Clustering. IJCNN Mohammadreza Sadeghi, Narges Armanfard
2021	B	`conf`	IDECF: Improved Deep Embedding Clustering With Deep Fuzzy Supervision. ICIP Mohammadreza Sadeghi, Narges Armanfard
2021	B	`conf`	Joint Selection using Deep Reinforcement Learning for Skeleton-based Activity Recognition. SMC Bahareh Nikpour, Narges Armanfard
2021	J	`jnl`	Multiview Feature Selection for Single-View Classification. IEEE Trans. Pattern Anal. Mach. Intell. Majid Komeili, Narges Armanfard, Dimitrios Hatzinakos
2019	J	`jnl`	A Machine Learning Framework for Automatic and Continuous MMN Detection With Preliminary Results for Coma Outcome Prediction. IEEE J. Biomed. Health Informatics Narges Armanfard, Majid Komeili, James P. Reilly, John F. Connolly
2018	—	`conf`	Development of a Smart Home-Based Package for Unobtrusive Physiological Monitoring. EMBC Narges Armanfard, Majid Komeili, Alex Mihailidis
2018	J	`jnl`	Feature Selection for Nonstationary Data: Application to Human Recognition Using Medical Biometrics. IEEE Trans. Cybern. Majid Komeili, Wael Louis, Narges Armanfard, Dimitrios Hatzinakos
2018	J	`jnl`	Liveness Detection and Automatic Template Updating Using Fusion of ECG and Fingerprint. IEEE Trans. Inf. Forensics Secur. Majid Komeili, Narges Armanfard, Dimitrios Hatzinakos
2018	J	`jnl`	Logistic Localized Modeling of the Sample Space for Feature Selection and Classification. IEEE Trans. Neural Networks Learn. Syst. Narges Armanfard, James P. Reilly, Majid Komeili
2016	—	`conf`	Automatic and continuous assessment of ERPs for mismatch negativity detection. EMBC Narges Armanfard, Majid Komeili, James P. Reilly, Richard Mah, John F. Connolly
2016	J	`jnl`	Local Feature Selection for Data Classification. IEEE Trans. Pattern Anal. Mach. Intell. Narges Armanfard, James P. Reilly, Majid Komeili
2016	—	`conf`	On evaluating human recognition using electrocardiogram signals: From rest to exercise. CCECE Majid Komeili, Wael Louis, Narges Armanfard, Dimitrios Hatzinakos
2016	—	`conf`	Vigilance lapse identification using sparse EEG electrode arrays. CCECE Narges Armanfard, Majid Komeili, James P. Reilly, Lou Pino
2015	—	`conf`	Feature selection from multisession electrocardiogram signals for identity verification. CCECE Majid Komeili, Narges Armanfard, Dimitrios Hatzinakos, Anastasios N. Venetsanopoulos
2013	—	`conf`	Classification based on local feature selection via linear programming. MLSP Narges Armanfard, James P. Reilly
2012	J	`jnl`	TED: A texture-edge descriptor for pedestrian detection in video sequences. Pattern Recognit. Narges Armanfard, Majid Komeili, Ehsanollah Kabir
2010	J	`jnl`	Studying pressure sores through illuminant invariant assessment of digital color images. J. Zhejiang Univ. Sci. C Sahar Moghimi, Mohammad Hossein Miran Baygi, Giti Torkaman, Ehsanollah Kabir, Ali Mahlooji Far, Narges Armanfard