Results 61 to 70 of about 367,129 (284)

Could a multimodal dictionary serve as a learning tool? An examination of the impact of technologically enhanced visual glosses on L2 text comprehension

The EUROCALL Review, 2016
This study examines the efficacy of a multimodal online bilingual dictionary based on cognitive linguistics in order to explore the advantages and limitations of explicit multimodal L2 vocabulary learning.
Takeshi Sato
doaj   +1 more source

VideoAdviser: Video Knowledge Distillation for Multimodal Transfer Learning

IEEE Access, 2023
Multimodal transfer learning aims to transform pretrained representations of diverse modalities into a common domain space for effective multimodal fusion. However, conventional systems are typically built on the assumption that all modalities exist, and
Yanan Wang, Donghuo Zeng, Shinya Wada, Satoshi Kurihara   +3 more
doaj   +1 more source

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio, Desiree Latella, Lilla Bonanno, Paulo Cezar Rocha dos Santos, Marcos Maldonado‐Díaz, Meir Plotnik, Rosaria De Luca, Angelo Quartarone, Rocco Salvatore Calabrò   +8 more
wiley   +1 more source

Using Visual Journals as a Reflective Worldview Window into Educator Identity

, 2020
This ethnographic case study research and content analysis presents the conclusion of a three-year study involving 37 teacher candidate participants across a three-year study within a two year (2 semester program) Bachelor of Education program at a ...
Belcher, Christina, Loerts, Terry
core  

Multimodal Sparse Coding for Event Detection [PDF]

, 2016
Unsupervised feature learning methods have proven effective for classification tasks based on a single modality. We present multimodal sparse coding for learning feature representations shared across multiple modalities.
Brady, Kevin, Campbell, William, Cha, Miriam, Gwon, Youngjune, Kung, H. T., Sturim, Douglas   +5 more
core  

Learning Multimodal Word Representation via Dynamic Fusion Methods

, 2018
Multimodal models have been proven to outperform text-based models on learning semantic word representations. Almost all previous multimodal models typically treat the representations from different modalities equally.
Wang, Shaonan, Zhang, Jiajun, Zong, Chengqing   +2 more
core   +1 more source

Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani, Emmanuel Barbeau, Béatrice Lemesle, Emilie Milongo‐Rigal, Sophie Fernandez, Sandrine Charpentier, Jean‐François Albucher, Nicolas Raposo, Fabrice Bonneville, Patrice Péran, Jérémie Pariente   +10 more
wiley   +1 more source

AR moulded-objects performing Giuseppe Verdi's 200th birthday

Archeomatica, 2014
"Muri e Divisioni" è una mostra collettiva di arte contemporanea. Una call for artists è stata organizzata da Accademia delle Arti di Macerata, un'organizzazione locale no-profit composta da 40 artisti, per raccogliere opere adeguate per la mostra.
Giuliana Guazzaroni, Mirco Compagno
doaj  

Causal Meta-Reinforcement Learning for Multimodal Remote Sensing Data Classification

Remote Sensing
Multimodal remote sensing data classification can enhance a model’s ability to distinguish land features through multimodal data fusion. In this context, how to help models understand the relationship between multimodal data and target tasks has become ...
Wei Zhang, Xuesong Wang, Haoyu Wang, Yuhu Cheng   +3 more
doaj   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source