activity
20222026
most citedRLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC Algorithm

36 citations · 40 across the 10 of their papers we have counts for

collaborators

10 papers

cs.AI2026

Belief-Guided Decision Making with Uncertainty Gating in the Game of Go

Mehrad Yaghoubi, Azam Bastanfard, Abbas Jalilvand +1

Recent advancements in Computer Go, driven by AlphaZero and MuZero, rely heavily on Monte Carlo Tree Search (MCTS) to correct the errors of the neural network policy. While effecti…

cs.SD2026

Transcript-Free Lightweight Detection of Alzheimer's Disease from Spontaneous Speech Using Handcrafted MFCC-Dominant Acoustic Biomarkers

Rashin Gholijani Farahani, Azam Bastanfard

It is still hard to find Alzheimer's disease (AD) early, especially when neuroimaging is expensive or tools that depend on language are not available. Spontaneous speech provides a…

cs.GR2026

Data-Driven Animation Controller: A Prioritized Visual System for Decoupled Animation Logic in Godot Game Engine

Abtin TorabNezhad, Azam Bastanfard, Ashkan Rezaei

This paper introduces the Data-Driven Animation Controller (DDAC), a specialized Godot component that achieves robust decoupling of animation logic from core gameplay scripts throu…

cs.CV2026★ 4 cited

EigenCoin: sassanid coins classification based on Bhattacharyya distance

Rahele Allahverdi, Mohammad Mahdi Dehshibi, Azam Bastanfard +1

Solving pattern recognition problems using imbalanced databases is a hot topic, which entices researchers to bring it into focus. Therefore, we consider this problem in the applica…

cs.IR2025

Req-Rec: Enhancing Requirements Elicitation for Increasing Stakeholder's Satisfaction Using a Collaborative Filtering Based Recommender System

Ali Fallahi, Amineh Amini, Azam Bastanfard +1

The success or failure of a project is highly related to recognizing the right stakeholders and accurately finding and discovering their requirements. However, choosing the proper…

cs.IR2025

A Study on Enhancing User Engagement by Employing Gamified Recommender Systems

Ali Fallahi, Azam Bastanfard, Amineh Amini +1

Providing customized products and services in the modern business world is one of the most efficient solutions to improve users' experience and their engagements with the industrie…

cs.IR2025

Proposing a Semantic Movie Recommendation System Enhanced by ChatGPT's NLP Results

Ali Fallahi, Azam Bastanfard, Amineh Amini +1

The importance of recommender systems on the web has grown, especially in the movie industry, with a vast selection of options to watch. To assist users in traversing available ite…

cs.SD2023

The Persian Piano Corpus: A Collection Of Instrument-Based Feature Extracted Data Considering Dastgah

Parsa Rasouli, Azam Bastanfard

The research in the field of music is rapidly growing, and this trend emphasizes the need for comprehensive data. Though researchers have made an effort to contribute their own dat…

cs.CL2023★ 36 cited

RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC Algorithm

Hamid Gharagozlou, Javad Mohammadzadeh, Azam Bastanfard +1

Answer selection (AS) is a critical subtask of the open-domain question answering (QA) problem. The present paper proposes a method called RLAS-BIABC for AS, which is established o…

cs.CV2022

Adjustable Method Based on Body Parts for Improving the Accuracy of 3D Reconstruction in Visually Important Body Parts from Silhouettes

Aref Hemati, Azam Bastanfard

This research proposes a novel adjustable algorithm for reconstructing 3D body shapes from front and side silhouettes. Most recent silhouette-based approaches use a deep neural net…