activity
20232025
most citedFilter Bubbles in Recommender Systems: Fact or Fallacy -- A Systematic Review

9 citations · 9 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2025

From RAG to Agentic: Validating Islamic-Medicine Responses with LLM Agents

Mohammad Amaan Sayeed, Mohammed Talha Alam, Raza Imam +2

Centuries-old Islamic medical texts like Avicenna's Canon of Medicine and the Prophetic Tibb-e-Nabawi encode a wealth of preventive care, nutrition, and holistic therapies, yet rem…

cs.CV2024

Introducing SDICE: An Index for Assessing Diversity of Synthetic Medical Datasets

Mohammed Talha Alam, Raza Imam, Mohammad Areeb Qazi +2

Advancements in generative modeling are pushing the state-of-the-art in synthetic medical image generation. These synthetic images can serve as an effective data augmentation metho…

cs.CV2024

AstroSpy: On detecting Fake Images in Astronomy via Joint Image-Spectral Representations

Mohammed Talha Alam, Raza Imam, Mohsen Guizani +1

The prevalence of AI-generated imagery has raised concerns about the authenticity of astronomical images, especially with advanced text-to-image models like Stable Diffusion produc…

cs.CV2024

CosmoCLIP: Generalizing Large Vision-Language Models for Astronomical Imaging

Raza Imam, Mohammed Talha Alam, Umaima Rahman +2

Existing vision-text contrastive learning models enhance representation transferability and support zero-shot prediction by matching paired image and caption embeddings while pushi…

cs.CV2024

FLARE up your data: Diffusion-based Augmentation Method in Astronomical Imaging

Mohammed Talha Alam, Raza Imam, Mohsen Guizani +1

The intersection of Astronomy and AI encounters significant challenges related to issues such as noisy backgrounds, lower resolution (LR), and the intricate process of filtering an…

cs.CV2023

Optimizing Brain Tumor Classification: A Comprehensive Study on Transfer Learning and Imbalance Handling in Deep Learning Models

Raza Imam, Mohammed Talha Alam

Deep learning has emerged as a prominent field in recent literature, showcasing the introduction of models that utilize transfer learning to achieve remarkable accuracies in the cl…

cs.IR2023★ 9 cited

Filter Bubbles in Recommender Systems: Fact or Fallacy -- A Systematic Review

Qazi Mohammad Areeb, Mohammad Nadeem, Shahab Saquib Sohail +5

A filter bubble refers to the phenomenon where Internet customization effectively isolates individuals from diverse opinions or materials, resulting in their exposure to only a sel…