ADHD/ADD

ADHD/ADD

Latest AI and machine learning research in adhd/add for healthcare professionals.

3,593 articles

Pediatrics Subcategories: ADHD/ADD Growth Disorders Parenting

Showing 442-462 of 3,593 articles

The Value of AI Advice: Personalized and Value-Maximizing AI Advisors Are Necessary to Reliably Benefit Experts and Organizations

Despite advances in AI's performance and interpretability, AI advisors can undermine experts' deci...

Dec 2024 http://arxiv.org/abs/2412.19530v1

Personalized Large Vision-Language Models

The personalization model has gained significant attention in image generation yet remains underex...

Dec 2024 http://arxiv.org/abs/2412.17610v1

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention

Neurodevelopmental disorders (NDDs) cover a variety of conditions, including autism spectrum disor...

Dec 2024 http://arxiv.org/abs/2501.08334v1

Improving the Transferability of 3D Point Cloud Attack via Spectral-aware Admix and Optimization Designs

Deep learning models for point clouds have shown to be vulnerable to adversarial attacks, which ha...

Dec 2024 http://arxiv.org/abs/2412.12626v1

Student-Informed Teacher Training

Imitation learning with a privileged teacher has proven effective for learning complex control beh...

Dec 2024 http://arxiv.org/abs/2412.09149v2

Exploring Complex Mental Health Symptoms via Classifying Social Media Data with Explainable LLMs

We propose a pipeline for gaining insights into complex diseases by training LLMs on challenging s...

Dec 2024 http://arxiv.org/abs/2412.10414v1

I Don't Know: Explicit Modeling of Uncertainty with an [IDK] Token

Large Language Models are known to capture real-world knowledge, allowing them to excel in many do...

Dec 2024 http://arxiv.org/abs/2412.06676v1

An ADHD Diagnostic Interface Based on EEG Spectrograms and Deep Learning Techniques

This paper introduces an innovative approach to Attention-deficit/hyperactivity disorder (ADHD) di...

Dec 2024 http://arxiv.org/abs/2412.02695v1

EDTformer: An Efficient Decoder Transformer for Visual Place Recognition

Visual place recognition (VPR) aims to determine the general geographical location of a query imag...

Dec 2024 http://arxiv.org/abs/2412.00784v1

Add-it: Training-Free Object Insertion in Images With Pretrained Diffusion Models

Adding Object into images based on text instructions is a challenging task in semantic image editi...

Nov 2024 http://arxiv.org/abs/2411.07232v2

Using machine learning to derive neurobiological subtypes of general psychopathology in late childhood.

Traditional mental health diagnoses rely on symptom-based classifications. Yet this approach can ove...

Nov 2024 39480333

Making the most of errors: Utilizing erroneous classifications generated by machine-learning models of neuroimaging data to capture disorder heterogeneity.

Within-disorder heterogeneity complicates mapping the neurobiological features of psychopathology to...

Nov 2024 39480336

Pediatrics

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The Value of AI Advice: Personalized and Value-Maximizing AI Advisors Are Necessary to Reliably Benefit Experts and Organizations

Personalized Large Vision-Language Models

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention

Improving the Transferability of 3D Point Cloud Attack via Spectral-aware Admix and Optimization Designs

Student-Informed Teacher Training

Exploring Complex Mental Health Symptoms via Classifying Social Media Data with Explainable LLMs

I Don't Know: Explicit Modeling of Uncertainty with an [IDK] Token

An ADHD Diagnostic Interface Based on EEG Spectrograms and Deep Learning Techniques

EDTformer: An Efficient Decoder Transformer for Visual Place Recognition

Add-it: Training-Free Object Insertion in Images With Pretrained Diffusion Models

Using machine learning to derive neurobiological subtypes of general psychopathology in late childhood.

Making the most of errors: Utilizing erroneous classifications generated by machine-learning models of neuroimaging data to capture disorder heterogeneity.

Energy Efficient Dual Designs of FeFET-Based Analog In-Memory Computing with Inherent Shift-Add Capability

SimBrainNet: Evaluating Brain Network Similarity for Attention Disorders

DAT: Dialogue-Aware Transformer with Modality-Group Fusion for Human Engagement Estimation

Neural Metamorphosis

Learning Image Derived PDE-Phenotypes from fMRI Data

Multi-Stage Graph Learning for fMRI Analysis to Diagnose Neuro-Developmental Disorders

HyperBrain: Anomaly Detection for Temporal Hypergraph Brain Networks

Active Learning to Guide Labeling Efforts for Question Difficulty Estimation

Floating-Point Multiply-Add with Approximate Normalization for Low-Cost Matrix Engines

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