648 citations
- Sharif University of TechnologyIR34 papers
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- University of TehranIR15 papers
- Amirkabir University of TechnologyIR8 papers
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- Payame Noor UniversityIR7 papers
- Centre National de la Recherche ScientifiqueFR6 papers
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371 papers
LLM-Driven AutoML for Cross-Lingual Handwritten OCR: Closed-Loop Neural Architecture Search with GPT-5, GPT-4o, and Claude Sonnet 4
Mobina Kashaniyan, Amirhossein Ghassemi, Nasser Mozayani
We present a fully automated closed-loop AutoML framework that uses GPT-5, GPT-4o, and Claude Sonnet 4 as autonomous neural architecture designers for cross-lingual handwritten opt…
An Auto-Scaling Approach for Serverless Environments Based on a Multi-Expert Consensus Mechanism
Mobina Kashaniyan, Mehrdad Ashtiani, Amirhossein Ghassemi
Serverless computing provides automatic resource management and pay-per-use execution, but effective autoscaling remains challenging because of dynamic workloads, cold-start latenc…
Non-Line-of-Sight imaging using raster scanning at NIR wavelength
Mohammad Roueinfar, Mahdi Salmanian
Non-line-of-sight (NLOS) imaging is an emerging technique with transformative potential, enabling the visualization of hidden objects through indirect light reflection. This paper…
What Are We Really Measuring? Rethinking Dataset Bias in Web-Scale Natural Image Collections via Unsupervised Semantic Clustering
Amir Hossein Saleknia, Mohammad Sabokrou
In computer vision, a prevailing method for quantifying dataset bias is to train a model to distinguish between datasets. High classification accuracy is then interpreted as eviden…
IoMT-based Automated Leukemia Classification using CNN and Higher Order Singular Value
Shabnam Bagheri Marzijarani, Mohammad Zolfaghari, Hedieh Sajedi
The Internet of Things (IoT) is a concept by which objects find identity and can communicate with each other in a network. One of the applications of the IoT is in the field of med…
Med-VCD: Mitigating Hallucination for Medical Large Vision Language Models through Visual Contrastive Decoding
Zahra Mahdavi, Zahra Khodakaramimaghsoud, Hooman Khaloo +4
Large vision-language models (LVLMs) are now central to healthcare applications such as medical visual question answering and imaging report generation. Yet, these models remain vu…