Inside Higher EdOpinion

5 Steps for Bringing Fitness-Integrated Learning Into Your Classroom

FIL-Interval. Short, structured movement breaks between lecture segments. After 15 to 20 minutes of teaching, students engage ...
IEEE

Heterogeneous Quad-modality Learning for Visible-Infrared Person Re-Identification

Abstract: The aim of Visible-Infrared person Re-IDentification (VI-ReID) is to identify persons with the same identity in both visible and infrared cameras. VI-ReID has attracted increasing interest ...
GitHub

Jian-Lang/awesome-modality-missing-learning

Deep Multimodal Learning with Missing Modality: A Survey TMLR 2026 Paper N/A Multimodal Learning Under Imperfect Data Conditions: A Survey arxiv 2026 Paper N/A Multimodal fusion on low-quality data: A ...
IEEE

Modality-Mix Learning: Promoting Multimodal Learning Through Multilabel Objective

Abstract: Multimodal fusion provides a comprehensive way to understand the world by integrating data from different sources. However, some studies believe that due to the optimization imbalance, ...
GitHub

Enhancing Multimodal Model Robustness under Missing Modalities via Memory-Driven Prompt Learning

Existing multimodal models typically assume the availability of all modalities, leading to significant performance degradation when certain modalities are missing. Recent methods have introduced ...
ischool.berkeley.edu

Learning Stylistic Meaning Across Modalities

The Master of Information Management and Systems (MIMS) program educates information professionals to provide leadership for an information-driven world. The Master of Information and Data Science ...
Frontiers

Evaluating haptic experience using EEG and deep learning across multiple modalities: linking stimulus and self-reports

Conventionally, evaluations of haptic interfaces have relied on self-reported assessments, which offer limited objectivity and can disrupt the user experience, making it challenging to design ...
Forbes

Voice Modality: The Next Frontier In AI And Workflow

We still live in a keyboard world, but every signal says we shouldn’t. Stanford researchers found that speech recognition can be about three times faster than ...
ahajournals.org

Abstract 393: Generalizability of Deep Learning Models for Aneurysm Detection: A Systematic Review of Cross‐Center and Cross‐Modality Validation Performance

Deep learning (DL) has demonstrated high diagnostic accuracy in detecting intracranial aneurysms (IAs) on CT angiography (CTA) and digital subtraction angiography (DSA). However, most studies rely on ...
Scientific Research Publishing

Mahmood, T., Li, J., Pei, Y., Akhtar, F., Imran, A. and Rehman, K.U. (2020) A Brief Survey on Breast Cancer Diagnostic with Deep Learning Schemes Using Multi-Image Modalities ...

ABSTRACT: Breast cancer is the most common cancer among women worldwide, posing significant diagnostic challenges. Traditional diagnostic techniques, while foundational, often lack precision and fail ...
ascopubs.org

Bayesian Counterfactual Machine Learning Individualizes Radiation Modality Selection to Mitigate Immunosuppression

Tumor Site–Specific Radiation-Induced Lymphocyte Depletion Models After Fractionated Radiotherapy: Considerations of Model Structure From an Aggregate Data Meta-Analysis Lymphocytes play critical ...