Results 91 to 100 of about 276,963 (333)

The first automated negotiating agents competition (ANAC 2010)

open access: yes, 2011
Motivated by the challenges of bilateral negotiations between people and automated agents we organized the first automated negotiating agents competition (ANAC 2010).
Baarslag, Tim   +4 more
core   +1 more source

Risk Prediction Models for Recurrence After Curative Treatment of Early‐Stage or Locally Advanced Lung Cancer: A Systematic Review

open access: yesAging and Cancer, EarlyView.
This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel   +4 more
wiley   +1 more source

Automated Graphic Divergent Thinking Assessment: A Multimodal Machine Learning Approach

open access: yesJournal of Intelligence
This study proposes a multimodal deep learning model for automated scoring of image-based divergent thinking tests, integrating visual and semantic features to improve assessment objectivity and efficiency.
Hezhi Zhang   +6 more
doaj   +1 more source

Association of Corticospinal Tract Asymmetry With Ambulatory Ability After Intracerebral Hemorrhage

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Ambulatory ability after intracerebral hemorrhage (ICH) is important to patients. We tested whether asymmetry between ipsi‐ and contra‐lesional corticospinal tracts (CSTs) assessed by diffusion tensor imaging (DTI) is associated with post‐ICH ambulation.
Yasmin N. Aziz   +25 more
wiley   +1 more source

Improving automated scoring of prosody in oral reading fluency using deep learning algorithm

open access: yesFrontiers in Education
Automated assessing prosody of oral reading fluency presents challenges due to the inherent difficulty of quantifying prosody. This study proposed and evaluated an approach focusing on specific prosodic features using a deep-learning neural network.
Kuo Wang   +5 more
doaj   +1 more source

Glymphatic Dysfunction Reflects Post‐Concussion Symptoms: Changes Within 1 Month and After 3 Months

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Mild traumatic brain injury (mTBI) may alter glymphatic function; however, its progression and variability remain obscure. This study examined glymphatic function following mTBI within 1 month and after 3 months post‐injury to determine whether variations in glymphatic function are associated with post‐traumatic symptom severity ...
Eunkyung Kim   +3 more
wiley   +1 more source

Evaluation of an automated karyotyping system for chromosome aberration analysis [PDF]

open access: yes
Chromosome aberration analysis is a promising complement to conventional radiation dosimetry, particularly in the complex radiation fields encountered in the space environment.
Prichard, Howard M.
core   +1 more source

Automated Scoring of Creative Achievement

open access: yes
The assessment of creative achievement (CA) can be cumbersome as participants are typically asked to respond to long lists of possible accomplishments that may still miss their specific achievements. A bottom-up alternative is to let participants openly report their most significant CAs, which, however, involves more complex scoring such as via human ...
Noah Meinzer   +3 more
openaire   +1 more source

Lessons Learned From a Delayed‐Start Trial of Modafinil for Freezing of Gait in Parkinson's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Freezing of gait (FOG) in people with Parkinson's disease (PwPD) is debilitating and has limited treatments. Modafinil modulates beta/gamma band activity in the pedunculopontine nucleus (PPN), like PPN deep brain stimulation. We therefore tested the hypothesis that Modafinil would improve FOG in PwPD.
Tuhin Virmani   +8 more
wiley   +1 more source

Automatic calcium scoring in low-dose chest CT using deep neural networks with dilated convolutions

open access: yes, 2018
Heavy smokers undergoing screening with low-dose chest CT are affected by cardiovascular disease as much as by lung cancer. Low-dose chest CT scans acquired in screening enable quantification of atherosclerotic calcifications and thus enable ...
de Jong, Pim A.   +6 more
core   +1 more source

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