1 citations · 1 across the 9 of their papers we have counts for
11 papers
CARE: A Responsibility-Oriented Architecture for Domain-Scoped Resolution in Modular and Upgradeable Smart Contracts
Ali Rajabi Nekoo, Laleh Rasoul, Azadeh Zamanifar
Modular and upgradeable smart-contract systems enable replaceable execution logic, but modular dispatch alone does not define which components own architectural responsibilities su…
RAPID: Reliability-Aware Pair Importance Distillation
Ali Mahdavi, Azadeh Zamanifar, Amirfarhad Farhadi +1
Inter example relational distillation transfers a teacher's representation geometry by matching relations among examples within a mini batch. Computing all pairs has quadratic comp…
Memory Reward Inflation in Self-Improving LLM Agents
Mohammad Asadolahi, Amir Amini, Samira Talebi +2
Self-improving LLM agents increasingly learn from experience without updating any weights. Each episode is stored in an external memory, scored, and retrieved for similar future ta…
Causal Unlearning in Collaborative Optimization: Exact and Approximate Influence Reversal under Adversarial Contributions
Ali Mahdavi, Azadeh Zamanifar, Amirfarhad Farhadi +1
Federated learning systems must support data deletion requests to comply with privacy regulations, yet retraining from scratch after each deletion is computationally prohibitive. W…
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…
Leveraging Blockchain and ANFIS for Optimal Supply Chain Management
Amirfarhad Farhadi, Homayoun Safarpour Motealegh Mahalegi, Abolfazl Pourrezaeian Firouzabad +2
The supply chain is a critical segment of the product manufacturing cycle, continuously influenced by risky, uncertain, and undesirable events. Optimizing flexibility in the supply…