Results 1 to 10 of about 12,635,097 (355)

T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models [PDF]

AAAI Conference on Artificial Intelligence, 2023
The incredible generative ability of large-scale text-to-image (T2I) models has demonstrated strong power of learning complex structures and meaningful semantics.
Chong Mou, Xintao Wang, Liang-Bin Xie, Yan-Ze Wu, Jing Zhang, Zhong-Ang Qi, Shan Ying, Xiaohu Qie   +7 more
semanticscholar   +1 more source

Quantifying Managerial Ability: A New Measure and Validity Tests

Management Science, 2012
Sarah E. McVay, Peter Demerjian, Baruch Lev   +2 more
exaly   +2 more sources

Video-Based Pose Estimation for Gait Analysis in Stroke Survivors during Clinical Assessments: A Proof-of-Concept Study

Digital Biomarkers, 2022
Recent advancements in deep learning have produced significant progress in markerless human pose estimation, making it possible to estimate human kinematics from single camera videos without the need for reflective markers and specialized labs equipped ...
Luca Lonini, Yaejin Moon, Kyle Embry, R. James Cotton, Kelly McKenzie, Sophia Jenz, Arun Jayaraman   +6 more
doaj   +1 more source

Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4 [PDF]

arXiv.org, 2023
Harnessing logical reasoning ability is a comprehensive natural language understanding endeavor. With the release of Generative Pretrained Transformer 4 (GPT-4), highlighted as"advanced"at reasoning tasks, we are eager to learn the GPT-4 performance on ...
Han-Meng Liu, Ruoxi Ning, Zhiyang Teng, Jian Liu, Qi-Ji Zhou, Yue Zhang   +5 more
semanticscholar   +1 more source

PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits [PDF]

NAACL-HLT, 2023
Despite the many use cases for large language models (LLMs) in creating personalized chatbots, there has been limited research on evaluating the extent to which the behaviors of personalized LLMs accurately and consistently reflect specific personality ...
Hang Jiang, Xia-Jie Zhang, Xubo Cao, Cynthia Breazeal, Deb Roy, Jad Kabbara   +5 more
semanticscholar   +1 more source

A Mobile Phone App-Based Tai Chi Training in Parkinson's Disease: Protocol for a Randomized Controlled Study

Frontiers in Neurology, 2021
Introduction: With an increasing number of China's aging population, Parkinson's disease (PD) increases year by year. Persons with PD exhibit abnormal balance functions, leading to motor skills difficulties, such as unstable walking or even falling ...
Song Gao, Keneilwe Kenny Kaudimba, Jiaxin Cai, Yao Tong, Yao Tong, Qianqian Tian, Peize Liu, Tiemin Liu, Tiemin Liu, Peijie Chen, Ru Wang   +10 more
doaj   +1 more source

Precise quantification of the time course of voluntary activation capacity following Botulinum toxin injections in the biceps brachii muscles of chronic stroke survivors

Journal of NeuroEngineering and Rehabilitation, 2020
Background Spasticity is a key motor impairment that affects many hemispheric stroke survivors. Intramuscular botulinum toxin (BT) injections are used widely to clinically manage spasticity-related symptoms in stroke survivors by chemically denervating ...
S. Chandra, B. Afsharipour, W. Z. Rymer, N. L. Suresh   +3 more
doaj   +1 more source

Intermittent theta burst stimulation modulates biceps brachii corticomotor excitability in individuals with tetraplegia

Journal of NeuroEngineering and Rehabilitation, 2022
Background Intermittent theta burst stimulation (iTBS) is a form of repetitive transcranial magnetic stimulation (TMS) that can increase corticomotor excitability of hand muscles in individuals with spinal cord injury (SCI).
Neil Mittal, Blaize C. Majdic, Carrie L. Peterson   +2 more
doaj   +1 more source

A smartphone-based online system for fall detection with alert notifications and contextual information of real-life falls

Journal of NeuroEngineering and Rehabilitation, 2021
Background Falls are a leading cause of accidental deaths and injuries worldwide. The risk of falling is especially high for individuals suffering from balance impairments.
Yaar Harari, Nicholas Shawen, Chaithanya K. Mummidisetty, Mark V. Albert, Konrad P. Kording, Arun Jayaraman   +5 more
doaj   +1 more source

Sleep Monitoring during Acute Stroke Rehabilitation: Toward Automated Measurement Using Multimodal Wireless Sensors

Sensors, 2022
Sleep plays a critical role in stroke recovery. However, there are limited practices to measure sleep for individuals with stroke, thus inhibiting our ability to identify and treat poor sleep quality.
Pin-Wei Chen, Megan K. O’Brien, Adam P. Horin, Lori L. McGee Koch, Jong Yoon Lee, Shuai Xu, Phyllis C. Zee, Vineet M. Arora, Arun Jayaraman   +8 more
doaj   +1 more source