Latest AI and machine learning research in medicare for healthcare professionals.
Conformal prediction enables the construction of high-coverage prediction sets for any pre-trained...
We introduce $\textit{Backward Conformal Prediction}$, a method that guarantees conformal coverage...
Integrating Large Language Models with symbolic planners is a promising direction for obtaining ve...
Knowledge distillation (KD) is a core component in the training and deployment of modern generativ...
Conformal prediction quantifies the uncertainty of machine learning models by augmenting point pre...
This paper investigates advertising practices in print newspapers across India using a novel data-...
Wildlife-induced crop damage, particularly from deer, threatens agricultural productivity. Traditi...
The rapid extension of context windows in large vision-language models has given rise to long-cont...
The demand for quality in mobile applications has increased greatly given users' high reliance on ...
Drones are promising for data collection in precision agriculture, however, they are limited by th...
Despite recent advances in facial recognition, there remains a fundamental issue concerning degrad...
In Wireless Sensor Networks (WSNs), achieving optimal coverage in dynamic environments remains a sig...
As machine learning (ML) models are increasingly deployed in high-stakes domains, trustworthy unce...
Visual planning, by offering a sequence of intermediate visual subgoals to a goal-conditioned low-...
Unmanned Aerial Vehicle (UAV) Coverage Path Planning (CPP) is critical for applications such as pr...
Deep neural networks (DNNs) play a crucial role in the field of artificial intelligence, and their...
Long-context large language models (LC LLMs) combined with retrieval-augmented generation (RAG) ho...
Next Best View (NBV) algorithms aim to acquire an optimal set of images using minimal resources, t...
Coverage Path Planning (CPP) is vital in precision agriculture to improve efficiency and resource ...
Satellite imagery is increasingly used to complement traditional data collection approaches such a...
With the advancement of Internet of Things (IoT) technologies, high-precision indoor positioning h...