Results 31 to 40 of about 60,353 (264)
Multilingual Multimodal Learning with Machine Translated Text
Most vision-and-language pretraining research focuses on English tasks. However, the creation of multilingual multimodal evaluation datasets (e.g. Multi30K, xGQA, XVNLI, and MaRVL) poses a new challenge in finding high-quality training data that is both multilingual and multimodal.
Qiu, Chen +4 more
openaire +3 more sources
Multimodal learning has gained immense popularity due to the explosive growth in the volume of image and textual data in various domains. Vision-language heterogeneous multimodal data has been utilized to solve a variety of tasks including classification,
Priyankar Bose +2 more
doaj +1 more source
ABSTRACT Objectives The association between exposure to dinutuximab beta (DB) and event‐free survival (EFS) or overall survival (OS) of neuroblastoma patients was assessed using data collected during three clinical trials (five cohorts). Methods A systematic review (March 2026) was conducted to identify relevant studies (prospective; registered DB ...
Przemysław Holko +19 more
wiley +1 more source
Integrating Cartoon-Based Activities into Curriculum Design for Literacy Development [PDF]
The article proposes a theoretical analysis of the integration of comic-based activities-based activities into curriculum design, from the perspective of the literature in education and modern didactics.
Elena Maria Miclea (Tatar) +1 more
doaj +1 more source
ABSTRACT Neuroblastoma's complex, heterogeneous biology poses significant diagnostic and therapeutic challenges, often requiring caregivers to absorb complex information and participate in time‐sensitive decisions. However, caregivers often feel unprepared to evaluate options.
Vickie Buenger +8 more
wiley +1 more source
Chatbot-based multimodal AI holds promise for collecting medical histories and diagnosing ophthalmic diseases using textual and imaging data. This study developed and evaluated the ChatGPT-powered Intelligent Ophthalmic Multimodal Interactive Diagnostic ...
Ruiqi Ma +35 more
doaj +1 more source
On the Issue of Reading Multimodal Texts
Most of our reading practices have moved from print-based to online texts, which integrate not only linguistic expression but various images, sounds, other meaning making elements, therefore the reader's engagement with the text has changed as well.
Roma Kriaučiūnienė +1 more
openaire +1 more source
The Role of Chemotherapy in Pediatric Myoepithelial Carcinoma: A Systematic Review of the Literature
ABSTRACT Myoepithelial carcinoma (MEC) in pediatric patients is a rare and aggressive malignancy characterized by heterogeneous morphology and variable molecular features. The optimal role of chemotherapy remains unclear. We conducted a systematic review according to PRISMA 2020 guidelines to evaluate chemotherapy in pediatric and young‐adult patients ...
Marco Salvi +7 more
wiley +1 more source
Multimodal Chinese Agricultural News Classification Method Based on Interactive Attention
Most current research on Chinese agricultural news is limited to text analysis and seldom integrates images, leading to a scarcity of multimodal Chinese agricultural news datasets and an evident gap in multimodal Chinese agricultural news research.
Xuliang Duan +3 more
doaj +1 more source
HMTL: Heterogeneous Modality Transfer Learning for Audio-Visual Sentiment Analysis
Multimodal sentiment analysis is an extended approach to traditional language-based sentiment analysis, which uses other relevant modality data. Multimodal sentiment analysis usually applies visual, textual, and acoustic representations for sentiment ...
Sanghyun Seo, Sanghyuck Na, Juntae Kim
doaj +1 more source

