AIMC Topic: Humans

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Towards accurate facial nerve segmentation with decoupling optimization.

Physics in medicine and biology
Robotic cochlear implantation is an effective way to restore the hearing of hearing-impaired patients, and facial nerve recognition is the key to the operation. However, accurate facial nerve segmentation is a challenging task, mainly for two key iss...

The ability to classify patients based on gene-expression data varies by algorithm and performance metric.

PLoS computational biology
By classifying patients into subgroups, clinicians can provide more effective care than using a uniform approach for all patients. Such subgroups might include patients with a particular disease subtype, patients with a good (or poor) prognosis, or p...

A Developmental Cognitive Architecture for Trust and Theory of Mind in Humanoid Robots.

IEEE transactions on cybernetics
As artificial systems are starting to be widely deployed in real-world settings, it becomes critical to provide them with the ability to discriminate between different informants and to learn from reliable sources. Moreover, equipping an artificial a...

Deep Correlated Joint Network for 2-D Image-Based 3-D Model Retrieval.

IEEE transactions on cybernetics
In this article, we propose a novel deep correlated joint network (DCJN) approach for 2-D image-based 3-D model retrieval. First, the proposed method can jointly learn two distinct deep neural networks, which are trained for individual modalities to ...

Personalized Image Aesthetics Assessment via Meta-Learning With Bilevel Gradient Optimization.

IEEE transactions on cybernetics
Typical image aesthetics assessment (IAA) is modeled for the generic aesthetics perceived by an "average" user. However, such generic aesthetics models neglect the fact that users' aesthetic preferences vary significantly depending on their unique pr...

Reliable Vision-Based Grasping Target Recognition for Upper Limb Prostheses.

IEEE transactions on cybernetics
Computer vision has shown promising potential in wearable robotics applications (e.g., human grasping target prediction and context understanding). However, in practice, the performance of computer vision algorithms is challenged by insufficient or b...

Discriminative Transfer Learning for Driving Pattern Recognition in Unlabeled Scenes.

IEEE transactions on cybernetics
Driving pattern recognition based on features, such as GPS, gear, and speed information, is essential to develop intelligent transportation systems. However, it is usually expensive and labor intensive to collect a large amount of labeled driving dat...

A Deep Learning Approach for Recognizing the Cursive Tamil Characters in Palm Leaf Manuscripts.

Computational intelligence and neuroscience
Tamil is an old Indian language with a large corpus of literature on palm leaves, and other constituents. Palm leaf manuscripts were a versatile medium for narrating medicines, literature, theatre, and other subjects. Because of the necessity for dig...

Application Analysis of Combining BP Neural Network and Logistic Regression in Human Resource Management System.

Computational intelligence and neuroscience
Human resource management involves a variety of data processing, and the process is complicated. In order to improve the effect of human resource management, this paper combines BP neural network and logistic regression analysis to construct an intel...

Linking Brain Structure, Activity, and Cognitive Function through Computation.

eNeuro
Understanding the human brain is a "Grand Challenge" for 21st century research. Computational approaches enable large and complex datasets to be addressed efficiently, supported by artificial neural networks, modeling and simulation. Dynamic generati...