Geriatrics

Medicare

Latest AI and machine learning research in medicare for healthcare professionals.

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Geriatrics Subcategories: Alzheimer's Disease Medicare
Showing 610-630 of 2,939 articles
Adaptive Temperature Scaling with Conformal Prediction

Conformal prediction enables the construction of high-coverage prediction sets for any pre-trained...

Backward Conformal Prediction

We introduce $\textit{Backward Conformal Prediction}$, a method that guarantees conformal coverage...

ViPlan: A Benchmark for Visual Planning with Symbolic Predicates and Vision-Language Models

Integrating Large Language Models with symbolic planners is a promising direction for obtaining ve...

Why Knowledge Distillation Works in Generative Models: A Minimal Working Explanation

Knowledge distillation (KD) is a core component in the training and deployment of modern generativ...

Improving Coverage in Combined Prediction Sets with Weighted p-values

Conformal prediction quantifies the uncertainty of machine learning models by augmenting point pre...

Analyzing Patterns and Influence of Advertising in Print Newspapers

This paper investigates advertising practices in print newspapers across India using a novel data-...

Geofenced Unmanned Aerial Robotic Defender for Deer Detection and Deterrence (GUARD)

Wildlife-induced crop damage, particularly from deer, threatens agricultural productivity. Traditi...

MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly

The rapid extension of context windows in large vision-language models has given rise to long-cont...

Advancing Mobile UI Testing by Learning Screen Usage Semantics

The demand for quality in mobile applications has increased greatly given users' high reliance on ...

A drone that learns to efficiently find objects in agricultural fields: from simulation to the real world

Drones are promising for data collection in precision agriculture, however, they are limited by th...

2D-3D Attention and Entropy for Pose Robust 2D Facial Recognition

Despite recent advances in facial recognition, there remains a fundamental issue concerning degrad...

Optimizing coverage in wireless sensor networks using deep reinforcement learning with graph neural networks.

In Wireless Sensor Networks (WSNs), achieving optimal coverage in dynamic environments remains a sig...

May 2025 40369115
PCS-UQ: Uncertainty Quantification via the Predictability-Computability-Stability Framework

As machine learning (ML) models are increasingly deployed in high-stakes domains, trustworthy unce...

Symbolically-Guided Visual Plan Inference from Uncurated Video Data

Visual planning, by offering a sequence of intermediate visual subgoals to a goal-conditioned low-...

Continuous World Coverage Path Planning for Fixed-Wing UAVs using Deep Reinforcement Learning

Unmanned Aerial Vehicle (UAV) Coverage Path Planning (CPP) is critical for applications such as pr...

Towards Understanding Deep Learning Model in Image Recognition via Coverage Test

Deep neural networks (DNNs) play a crucial role in the field of artificial intelligence, and their...

MacRAG: Compress, Slice, and Scale-up for Multi-Scale Adaptive Context RAG

Long-context large language models (LC LLMs) combined with retrieval-augmented generation (RAG) ho...

VIN-NBV: A View Introspection Network for Next-Best-View Selection for Resource-Efficient 3D Reconstruction

Next Best View (NBV) algorithms aim to acquire an optimal set of images using minimal resources, t...

CPP-DIP: Multi-objective Coverage Path Planning for MAVs in Dispersed and Irregular Plantations

Coverage Path Planning (CPP) is vital in precision agriculture to improve efficiency and resource ...

Coverage Biases in High-Resolution Satellite Imagery

Satellite imagery is increasingly used to complement traditional data collection approaches such a...

Conformal Prediction for Indoor Positioning with Correctness Coverage Guarantees

With the advancement of Internet of Things (IoT) technologies, high-precision indoor positioning h...

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