Abstract: Semantic segmentation of remote sensing images is crucial for disaster monitoring, urban planning, and land use. Due to scene complexity and multiscale features of targets, semantic ...
Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Abstract: Semantic segmentation is a fundamental task in multimedia processing, which can be used for analyzing, understanding, editing contents of images and videos, among others. To accelerate the ...
AI has transformed how we interact with technology, moving from traditional graphical interfaces to language-based, collaborative systems. To measure these new human-AI interactions, we developed ...
This is a python script to interact with Stanford University's NLP group's Java-based CoreNLP tools. It will provide a simple output for the easy parsing of basic imperative sentences to machine ...
A deep learning system for efficient image transmission using semantic communication. The encoder compresses images into a compact semantic latent representation, which is transmitted over a noisy ...
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