Narges Armanfard

IEEE Trans. Neural Networks Learn. Syst., November, 2024

Self-supervised anomaly detection in computer vision and beyond: A survey and outlook.

[BibT_eX]

[DOI]

Neural Networks, 2024

Unveiling the Flaws: A Critical Analysis of Initialization Effect on Time Series Anomaly Detection.

[BibT_eX]

[DOI]

Alex Koran

CoRR, 2024

Forward-Backward Knowledge Distillation for Continual Clustering.

[BibT_eX]

[DOI]

Zihan Wang

CoRR, 2024

Deep Clustering with Self-Supervision using Pairwise Similarities.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Ali Karami

CoRR, 2024

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

[BibT_eX]

[DOI]

Dimitrios Sinodinos

CoRR, 2024

Open-Set Multivariate Time-Series Anomaly Detection.

[BibT_eX]

[DOI]

Thomas Lai

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Spatial Hard Attention Modeling via Deep Reinforcement Learning for Skeleton-Based Human Activity Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., July, 2023

Spatio-temporal hard attention learning for skeleton-based activity recognition.

[BibT_eX]

[DOI]

Pattern Recognit., July, 2023

Explainable Attention for Few-shot Learning and Beyond.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Graph-based Time-Series Anomaly Detection: A Survey.

[BibT_eX]

[DOI]

Ali Karami

CoRR, 2023

Multivariate Time-Series Anomaly Detection with Temporal Self-supervision and Graphs: Application to Vehicle Failure Prediction.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

C3: Cross-instance guided Contrastive Clustering.

[BibT_eX]

[DOI]

Proceedings of the 34th British Machine Vision Conference 2023, 2023

Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Self-Supervised Anomaly Detection: A Survey and Outlook.

[BibT_eX]

[DOI]

CoRR, 2022

Attentive Task Interaction Network for Multi-Task Learning.

[BibT_eX]

[DOI]

Dimitrios Sinodinos

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Self-Supervised Acoustic Anomaly Detection Via Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Multiview Feature Selection for Single-View Classification.

[BibT_eX]

[DOI]

Dimitrios Hatzinakos

IEEE Trans. Pattern Anal. Mach. Intell., 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Joint Selection using Deep Reinforcement Learning for Skeleton-based Activity Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Deep Successive Subspace Learning for Data Clustering.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

IDECF: Improved Deep Embedding Clustering With Deep Fuzzy Supervision.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2019

2018

Logistic Localized Modeling of the Sample Space for Feature Selection and Classification.

[BibT_eX]

[DOI]

James P. Reilly

IEEE Trans. Neural Networks Learn. Syst., 2018

Liveness Detection and Automatic Template Updating Using Fusion of ECG and Fingerprint.

[BibT_eX]

[DOI]

Dimitrios Hatzinakos

IEEE Trans. Inf. Forensics Secur., 2018

Feature Selection for Nonstationary Data: Application to Human Recognition Using Medical Biometrics.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2018

Development of a Smart Home-Based Package for Unobtrusive Physiological Monitoring.

[BibT_eX]

[DOI]

Alex Mihailidis

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2016

Local Feature Selection for Data Classification.

[BibT_eX]

[DOI]

James P. Reilly

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Automatic and continuous assessment of ERPs for mismatch negativity detection.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Canadian Conference on Electrical and Computer Engineering, 2016

Vigilance lapse identification using sparse EEG electrode arrays.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Canadian Conference on Electrical and Computer Engineering, 2016

2015

Feature selection from multisession electrocardiogram signals for identity verification.

[BibT_eX]

[DOI]

Anastasios N. Venetsanopoulos

Dimitrios Hatzinakos

Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015

2013

Classification based on local feature selection via linear programming.

[BibT_eX]

[DOI]

James P. Reilly

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.

[BibT_eX]

[DOI]