8 citations · 8 across the 3 of their papers we have counts for
4 papers
Personalization on a Budget: Minimally-Labeled Continual Learning for Resource-Efficient Seizure Detection
Amirhossein Shahbazinia, Jonathan Dan, Jose A. Miranda +2
Objective: Epilepsy, a prevalent neurological disease, demands careful diagnosis and continuous care. Seizure detection remains challenging, as current clinical practice relies on…
CloudFormer: An Attention-based Performance Prediction for Public Clouds with Unknown Workload
Amirhossein Shahbazinia, Darong Huang, Luis Costero +1
Cloud platforms are increasingly relied upon to host diverse, resource-intensive workloads due to their scalability, flexibility, and cost-efficiency. In multi-tenant cloud environ…
Quantifying the Generalization Gap in Seizure Detection: A Large-Scale Empirical Benchmark via the SzCORE Challenge
Jonathan Dan, Amirhossein Shahbazinia, Christodoulos Kechris +1
Reliable automatic seizure detection from long-term electroencephalography (EEG) remains an unsolved challenge, as current models often fail to generalize across patients or clinic…
ParaLiNGAM: Parallel Causal Structure Learning for Linear non-Gaussian Acyclic Models
Amirhossein Shahbazinia, Saber Salehkaleybar, Matin Hashemi
One of the key objectives in many fields in machine learning is to discover causal relationships among a set of variables from observational data. In linear non-Gaussian acyclic mo…