531 citations · 1.6k across the 49 of their papers we have counts for
8 papers · 1 filter
Weed Detection in Challenging Field Conditions: A Semi-Supervised Framework for Overcoming Shadow Bias and Data Scarcity
Alzayat Saleh, Shunsuke Hatano, Mostafa Rahimi Azghadi
The automated management of invasive weeds is critical for sustainable agriculture, yet the performance of deep learning models in real-world fields is often compromised by two fac…
Decoding Neural Emotion Patterns through Large Language Model Embeddings
Gideon Vos, Maryam Ebrahimpour, Liza van Eijk +2
Understanding how emotional expression in language relates to brain function is a challenge in computational neuroscience and affective computing. Traditional neuroimaging is costl…
Synaptic Pruning: A Biological Inspiration for Deep Learning Regularization
Gideon Vos, Liza van Eijk, Zoltan Sarnyai +1
Synaptic pruning in biological brains removes weak connections to improve efficiency. In contrast, dropout regularization in artificial neural networks randomly deactivates neurons…
Evaluating Hierarchical Clinical Document Classification Using Reasoning-Based LLMs
Akram Mustafa, Usman Naseem, Mostafa Rahimi Azghadi
This study evaluates how well large language models (LLMs) can classify ICD-10 codes from hospital discharge summaries, a critical but error-prone task in healthcare. Using 1,500 s…
Advancements in Weed Mapping: A Systematic Review
Mohammad Jahanbakht, Alex Olsen, Ross Marchant +2
Weed mapping plays a critical role in precision management by providing accurate and timely data on weed distribution, enabling targeted control and reduced herbicide use. This min…
Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior
Yanlong Yang, Jianan Liu, Guanxiong Luo +4
In industrial automation, radar is a critical sensor in machine perception. However, the angular resolution of radar is inherently limited by the Rayleigh criterion, which depends…