Practice Management

Staffing & Scheduling

Latest AI and machine learning research in staffing & scheduling for healthcare professionals.

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Showing 1954-1974 of 2,458 articles
Conditional Balance: Improving Multi-Conditioning Trade-Offs in Image Generation

Balancing content fidelity and artistic style is a pivotal challenge in image generation. While tr...

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs

How can we effectively and efficiently learn node representations in signed bipartite graphs? A si...

Post-pandemic social contacts in Italy: implications for social distancing measures on in-person school and work attendance

The collection of updated data on social contact patterns following the COVID-19 pandemic disrupti...

VORTEX: A Spatial Computing Framework for Optimized Drone Telemetry Extraction from First-Person View Flight Data

This paper presents the Visual Optical Recognition Telemetry EXtraction (VORTEX) system for extrac...

Re-assessing ImageNet: How aligned is its single-label assumption with its multi-label nature?

ImageNet, an influential dataset in computer vision, is traditionally evaluated using single-label...

Retention Score: Quantifying Jailbreak Risks for Vision Language Models

The emergence of Vision-Language Models (VLMs) is a significant advancement in integrating compute...

APEX$^2$: Adaptive and Extreme Summarization for Personalized Knowledge Graphs

Knowledge graphs (KGs), which store an extensive number of relational facts, serve various applica...

Brain-to-Text Benchmark '24: Lessons Learned

Speech brain-computer interfaces aim to decipher what a person is trying to say from neural activi...

BladeDISC++: Memory Optimizations Based On Symbolic Shape

Recent deep learning workloads exhibit dynamic characteristics, leading to the rising adoption of ...

Enhancing Diffusion Models for High-Quality Image Generation

This report presents the comprehensive implementation, evaluation, and optimization of Denoising D...

Mobilizing Waldo: Evaluating Multimodal AI for Public Mobilization

Advancements in multimodal Large Language Models (LLMs), such as OpenAI's GPT-4o, offer significan...

T$^3$-S2S: Training-free Triplet Tuning for Sketch to Scene Generation

Scene generation is crucial to many computer graphics applications. Recent advances in generative ...

BanglishRev: A Large-Scale Bangla-English and Code-mixed Dataset of Product Reviews in E-Commerce

This work presents the BanglishRev Dataset, the largest e-commerce product review dataset to date ...

An Adaptive Balance Search Based Complementary Heterogeneous Particle Swarm Optimization Architecture

A series of modified cognitive-only particle swarm optimization (PSO) algorithms effectively mitig...

AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP

With the rapid development of artificial intelligence technology, its application in the optimizat...

The Impact of Generalization Techniques on the Interplay Among Privacy, Utility, and Fairness in Image Classification

This study investigates the trade-offs between fairness, privacy, and utility in image classificat...

Towards Physically-Based Sky-Modeling

Accurate environment maps are a key component in rendering photorealistic outdoor scenes with cohe...

Explicit and Implicit Graduated Optimization in Deep Neural Networks

Graduated optimization is a global optimization technique that is used to minimize a multimodal no...

Grid: Omni Visual Generation

Visual generation has witnessed remarkable progress in single-image tasks, yet extending these cap...

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