State Required CME

Identifying and Reporting Child abuse

Latest AI and machine learning research in identifying and reporting child abuse for healthcare professionals.

2,668 articles
Stay Ahead - Weekly Identifying and Reporting Child abuse research updates
Subscribe
Browse Specialties
Showing 85-105 of 2,668 articles
STTRE: A Spatio-Temporal Transformer with Relative Embeddings for multivariate time series forecasting.

The prevalence of multivariate time series data across several disciplines fosters a demand and, sub...

Deep Learning Technology to Recognize American Sign Language Alphabet.

Historically, individuals with hearing impairments have faced neglect, lacking the necessary tools t...

PEPNet: A barotropic primitive equations-based network for wind speed prediction.

In wind speed prediction technologies, deep learning-based methods have achieved promising advantage...

Sparser spiking activity can be better: Feature Refine-and-Mask spiking neural network for event-based visual recognition.

Event-based visual, a new visual paradigm with bio-inspired dynamic perception and μs level temporal...

Lifelong Text-Audio Sentiment Analysis learning.

Sentiment analysis refers to the mining of textual context, which is conducted with the aim of ident...

Hyper-Mol: Molecular Representation Learning via Fingerprint-Based Hypergraph.

With the development of artificial intelligence (AI) in the field of drug design and discovery, lear...

Subarchitecture Ensemble Pruning in Neural Architecture Search.

Neural architecture search (NAS) is gaining more and more attention in recent years because of its f...

Unsupervised graph-level representation learning with hierarchical contrasts.

Unsupervised graph-level representation learning has recently shown great potential in a variety of ...

Key factors selection on adolescents with non-suicidal self-injury: A support vector machine based approach.

Comparing a family structure to a company, one can often think of parents as leaders and adolescents...

More refined superbag: Distantly supervised relation extraction with deep clustering.

Distant supervision (DS) can automatically generate annotated data for relation extraction (RE) with...

Using AAEHS-Net as an Attention-Based Auxiliary Extraction and Hybrid Subsampled Network for Semantic Segmentation.

Semantic segmentation based on deep learning has undergone remarkable advancements in recent years. ...

Marker-Independent Food Identification Enabled by Combing Machine Learning Algorithms with Comprehensive GC × GC/TOF-MS.

Reliable methods are always greatly desired for the practice of food inspection. Currently, most foo...

Effect of Robot-Assisted Training on Unilateral Spatial Neglect After Stroke: Systematic Review and Meta-Analysis of Randomized Controlled Trials.

BACKGROUND: Several studies have shown that robotic devices can effectively improve motor function i...

Deep reinforcement learning guided graph neural networks for brain network analysis.

Modern neuroimaging techniques enable us to construct human brains as brain networks or connectomes....

ALSA: Adversarial Learning of Supervised Attentions for Visual Question Answering.

Visual question answering (VQA) has gained increasing attention in both natural language processing ...

Motion Feature Aggregation for Video-Based Person Re-Identification.

Most video-based person re-identification (re-id) methods only focus on appearance features but negl...

Comparing neural models for nested and overlapping biomedical event detection.

BACKGROUND: Nested and overlapping events are particularly frequent and informative structures in bi...

Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast.

Deep learning has been a prevalence in computational chemistry and widely implemented in molecular p...

Learning Cross-Modal Common Representations by Private-Shared Subspaces Separation.

Due to the inconsistent distributions and representations of different modalities (e.g., images and ...

Browse Specialties