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2020 – today
- 2025
[i4]Jonathan Dan, Amirhossein Shahbazinia, Christodoulos Kechris, David Atienza:
SzCORE as a benchmark: report from the seizure detection challenge at the 2025 AI in Epilepsy and Neurological Disorders Conference. CoRR abs/2505.18191 (2025)- [i3]Amirhossein Shahbazinia, Darong Huang, Luis Costero, David Atienza:
CloudFormer: An Attention-based Performance Prediction for Public Clouds with Unknown Workload. CoRR abs/2509.03394 (2025) - [i2]Amirhossein Shahbazinia, Jonathan Dan, José Angel Miranda, Giovanni Ansaloni, David Atienza:
Personalization on a Budget: Minimally-Labeled Continual Learning for Resource-Efficient Seizure Detection. CoRR abs/2509.13974 (2025) - 2024
- [c1]Amirhossein Shahbazinia, Flavio Ponzina
, José Angel Miranda, Jonathan Dan, Giovanni Ansaloni, David Atienza:
Resource-Efficient Continual Learning for Personalized Online Seizure Detection. EMBC 2024: 1-7 - 2023
- [j1]Amirhossein Shahbazinia, Saber Salehkaleybar, Matin Hashemi:
ParaLiNGAM: Parallel causal structure learning for linear non-Gaussian acyclic models. J. Parallel Distributed Comput. 176: 114-127 (2023) - 2021
- [i1]Amirhossein Shahbazinia, Saber Salehkaleybar, Matin Hashemi:
ParaLiNGAM: Parallel Causal Structure Learning for Linear non-Gaussian Acyclic Models. CoRR abs/2109.13993 (2021)
Coauthor Index
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