92 citations · 183 across the 23 of their papers we have counts for
4 papers · 1 filter
C3: Cross-instance guided Contrastive Clustering
Mohammadreza Sadeghi, Hadi Hojjati, Narges Armanfard
Clustering is the task of gathering similar data samples into clusters without using any predefined labels. It has been widely studied in machine learning literature, and recent ad…
Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis
Thi Kieu Khanh Ho, Narges Armanfard
Electroencephalogram (EEG) signals are effective tools towards seizure analysis where one of the most important challenges is accurate detection of seizure events and brain regions…
Self-Supervised Anomaly Detection in Computer Vision and Beyond: A Survey and Outlook
Hadi Hojjati, Thi Kieu Khanh Ho, Narges Armanfard
Anomaly detection (AD) plays a crucial role in various domains, including cybersecurity, finance, and healthcare, by identifying patterns or events that deviate from normal behavio…
Attentive Task Interaction Network for Multi-Task Learning
Dimitrios Sinodinos, Narges Armanfard
Multitask learning (MTL) has recently gained a lot of popularity as a learning paradigm that can lead to improved per-task performance while also using fewer per-task model paramet…