1 citations · 1 across the 4 of their papers we have counts for
7 papers
TA-RNN-Medical-Hybrid: A Time-Aware and Interpretable Framework for Mortality Risk Prediction
Zahra Jafari, Azadeh Zamanifar, Amirfarhad Farhadi
Accurate and interpretable mortality risk prediction in intensive care units (ICUs) remains a critical challenge due to the irregular temporal structure of electronic health record…
Deep Reinforcement Learning for Optimizing Energy Consumption in Smart Grid Systems
Abeer Alsheikhi, Amirfarhad Farhadi, Azadeh Zamanifar
The energy management problem in the context of smart grids is inherently complex due to the interdependencies among diverse system components. Although Reinforcement Learning (RL)…
SCA-Net: Spatial-Contextual Aggregation Network for Enhanced Small Building and Road Change Detection
Emad Gholibeigi, Abbas Koochari, Azadeh ZamaniFar
Automated change detection in remote sensing imagery is critical for urban management, environmental monitoring, and disaster assessment. While deep learning models have advanced t…
TinyGuard:A lightweight Byzantine Defense for Resource-Constrained Federated Learning via Statistical Update Fingerprints
Ali Mahdavi, Santa Aghapour, Azadeh Zamanifar +1
Existing Byzantine robust aggregation mechanisms typically rely on fulldimensional gradi ent comparisons or pairwise distance computations, resulting in computational overhead that…
SILS: Strategic Influence on Liquidity Stability and Whale Detection in Concentrated-Liquidity DEXs
Ali RajabiNekoo, Laleh Rasoul, Amirfarhad Farhadi +1
Traditional methods for identifying impactful liquidity providers (LPs) in Concentrated Liquidity Market Makers (CLMMs) rely on broad measures, such as nominal capital size or surf…
Source-Free Domain Adaptation via Multi-view Contrastive Learning
Amirfarhad Farhadi, Naser Mozayani, Azadeh Zamanifar
Domain adaptation has become a widely adopted approach in machine learning due to the high costs associated with labeling data. It is typically applied when access to a labeled sou…