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Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

Author

András Hajdu

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Conference Aug 2026

FreqTextSeg3D: Frequency-Aware Text-Guided 3D Brain Tumor Segmentation via Hierarchical Semantic Decomposition and Dual-Path Cross-Modal Fusion

Accurate 3D brain tumor segmentation is critical for diagnosis, treatment planning, and prognosis monitoring. Although recent vision-language methods have begun to incorporate radiology reports into segmentation pipelines, they typically treat clinical text as a monolithic embedding, ignoring its rich sub-semantic stru...

Biniyam Mulugeta, András Hajdu · 0 citations
Conference Aug 2026

Quantization-Induced Error Propagation: Activation Analysis Within the PEP-AI Framework for Sustainable High-Efficiency and Explainable AI

Post-training quantization to INT8 enables energyefficient deployment of deep neural networks on edge devices, yet standard metrics such as mean Average Precision (mAP) fail to capture internal instabilities. We propose a Precise, Explainable, and Provable (PEP-AI) framework for validating quantized convolutional neura...

T. Menyhárt, András Hajdu, Róbert Lakatos · 0 citations
Conference Aug 2026

Error-Driven Prompt Optimization for Sustainable Tabular Reasoning

The environmental cost of adapting Large Language Models (LLMs) is a growing concern in artificial intelligence research. We present a systematic comparison between gradient-based fine-tuning and a rule-based prompt optimization framework for financial tabular reasoning. Using the TAT-QA dataset, we demonstrate that ou...

Róbert Lakatos, Árpád Pándy, András Hajdu · 0 citations

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