6 citations · 12 across the 6 of their papers we have counts for
6 papers
PsychoAgent: An Affect-Sensitive Cognitive Architecture for Conflict-Aware Memory in LLM Agents
Mohammad Amanlou, Parham Abed Azad, Farbod Davoodi +3
Human-like cognition does not select past experience by topical similarity alone: affective significance and unresolved conflict also shape what becomes accessible. We present Psyc…
LLMCARE: early detection of cognitive impairment via transformer models enhanced by LLM-generated synthetic data
Ali Zolnour, Hossein Azadmaleki, Yasaman Haghbin +13
Alzheimer's disease and related dementias(ADRD) affect nearly five million older adults in the United States, yet more than half remain undiagnosed. Speech-based natural language p…
Deep Learning-Based Digitization of Overlapping ECG Images with Open-Source Python Code
Reza Karbasi, Masoud Rahimi, Abdol-Hossein Vahabie +1
This paper addresses the persistent challenge of accurately digitizing paper-based electrocardiogram (ECG) recordings, with a particular focus on robustly handling single leads com…
An Open-Source Python Framework and Synthetic ECG Image Datasets for Digitization, Lead and Lead Name Detection, and Overlapping Signal Segmentation
Masoud Rahimi, Reza Karbasi, Abdol-Hossein Vahabie
We introduce an open-source Python framework for generating synthetic ECG image datasets to advance critical deep learning-based tasks in ECG analysis, including ECG digitization,…
Continuous Reinforcement Learning-based Dynamic Difficulty Adjustment in a Visual Working Memory Game
Masoud Rahimi, Hadi Moradi, Abdol-hossein Vahabie +1
Dynamic Difficulty Adjustment (DDA) is a viable approach to enhance a player's experience in video games. Recently, Reinforcement Learning (RL) methods have been employed for DDA i…
A Novel Approximate Hamming Weight Computing for Spiking Neural Networks: an FPGA Friendly Architecture
Kaveh Akbarzadeh-Sherbaf, Mikaeel Bahmani, Danial Ghiaseddin +2
Hamming weights of sparse and long binary vectors are important modules in many scientific applications, particularly in spiking neural networks that are of our interest. To improv…