Results 61 to 70 of about 448,339 (311)
Multimodal Transformer for Unaligned Multimodal Language Sequences [PDF]
Human language is often multimodal, which comprehends a mixture of natural language, facial gestures, and acoustic behaviors. However, two major challenges in modeling such multimodal human language time-series data exist: 1) inherent data non-alignment due to variable sampling rates for the sequences from each modality; and 2) long-range dependencies ...
Yao-Hung Hubert Tsai +5 more
openaire +3 more sources
Value of MRI Outcomes for Preventive and Early‐Stage Trials in Spinocerebellar Ataxias 1 and 3
ABSTRACT Objective To examine the value of MRI outcomes as endpoints for preventive and early‐stage trials of two polyglutamine spinocerebellar ataxias (SCAs). Methods A cohort of 100 participants (23 SCA1, 63 SCA3, median Scale for the Assessment and Rating of Ataxia (SARA) score = 5, 42% preataxic, and 14 gene‐negative controls) was scanned at 3T up ...
Thiago J. R. Rezende +26 more
wiley +1 more source
Support for inferring user abilities for multimodal applications
Multimodal interaction offers users the possibility to interact with computational systems using natural interaction modes. However, different users interact differently, integrating modalities in different patterns.
Duarte, Carlos +3 more
core +1 more source
Fluid Biomarkers of Disease Burden and Cognitive Dysfunction in Progressive Supranuclear Palsy
ABSTRACT Objective Identifying objective biomarkers for progressive supranuclear palsy (PSP) is crucial to improving diagnosis and establishing clinical trial and treatment endpoints. This study evaluated fluid biomarkers in PSP versus controls and their associations with regional 18F‐PI‐2620 tau‐PET, clinical, and cognitive outcomes.
Roxane Dilcher +10 more
wiley +1 more source
Demonstration and offset augmented meta reinforcement learning with sparse rewards
This paper introduces DOAMRL, a novel meta-reinforcement learning (meta-RL) method that extends the Model-Agnostic Meta-Learning (MAML) framework. The method addresses a key limitation of existing meta-RL approaches, which struggle to effectively use ...
Haorui Li +5 more
doaj +1 more source
Multimodal brain visualization [PDF]
SPIE Medical Imaging 2016, Proc.
Saad Nadeem, Arie E. Kaufman
openaire +2 more sources
ABSTRACT Background Emerging evidence suggests that low‐frequency neural oscillations are dynamically regulated by consciousness levels, with the recovery of low cortical activity potentially serving as a neurophysiological substrate for conscious emergence. Targeted enhancement of these low‐frequency rhythms in patients with disorders of consciousness
Chuan Xu +10 more
wiley +1 more source
Understanding tissue complexity requires spatially resolved multi-omics data at single-cell resolution. Here, we present a workflow integrating high-resolution matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI-MSI) with Xenium ...
Tim F. E. Hendriks +5 more
doaj +1 more source
A novel polishing method is proposed to increase material removal rates through the acceleration of abrasive movements using micro-jets formed by spontaneous collapses of bubbles due to the cavitation in a special-shaped Venturi tube.
Jiayu Wang +3 more
doaj +1 more source
Multimodality: Reshaping Anthropology
Multimodality offers anthropologists an inflection on the way we do research, produce scholarship, teach students, and relate to diverse publics. Advancing an expanding array of tools, practices, and concepts, multimodality signals a change in the way we pay attention and attend to the diverse possibilities for understanding the human experience ...
openaire +2 more sources

