Psychiatry

Addictions

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

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Unraveling Pedestrian Fatality Patterns: A Comparative Study with Explainable AI

Road fatalities pose significant public safety and health challenges worldwide, with pedestrians b...

SuperCap: Multi-resolution Superpixel-based Image Captioning

It has been a longstanding goal within image captioning to move beyond a dependence on object dete...

Development of a Deep Learning Model for the Prediction of Ventilator Weaning

The issue of failed weaning is a critical concern in the intensive care unit (ICU) setting. This s...

ACCORD: Alleviating Concept Coupling through Dependence Regularization for Text-to-Image Diffusion Personalization

Image personalization has garnered attention for its ability to customize Text-to-Image generation...

Towards artificial intelligence application in pain medicine.

Pain is a complex, multidimensional experience involving significant challenges in both diagnosis an...

Mar 2025 40084580
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs

Despite extensive research efforts focused on OOD detection on images, OOD detection on nodes in g...

Time Series Domain Adaptation via Latent Invariant Causal Mechanism

Time series domain adaptation aims to transfer the complex temporal dependence from the labeled so...

Hardware-Software Co-Design for Accelerating Transformer Inference Leveraging Compute-in-Memory

Transformers have become the backbone of neural network architecture for most machine learning app...

Adversarial Dependence Minimization

Many machine learning techniques rely on minimizing the covariance between output feature dimensio...

Optimizing Feature Selection in Causal Inference: A Three-Stage Computational Framework for Unbiased Estimation

Feature selection is an important but challenging task in causal inference for obtaining unbiased ...

DEFEND: A Large-scale 1M Dataset and Foundation Model for Tobacco Addiction Prevention

While tobacco advertising innovates at unprecedented speed, traditional surveillance methods remai...

Leveraging artificial intelligence-mediated communication for cancer prevention and control and drug addiction: A systematic review.

OBJECTIVE: To conduct a systematic review on Artificial Intelligence-Mediated Communication (AIMC) b...

Jan 2025 40036982
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