AIMC Topic: Algorithms

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Random Shapley Forests: Cooperative Game-Based Random Forests With Consistency.

IEEE transactions on cybernetics
The original random forests (RFs) algorithm has been widely used and has achieved excellent performance for the classification and regression tasks. However, the research on the theory of RFs lags far behind its applications. In this article, to narr...

An Approximate Neuro-Optimal Solution of Discounted Guaranteed Cost Control Design.

IEEE transactions on cybernetics
The adaptive optimal feedback stabilization is investigated in this article for discounted guaranteed cost control of uncertain nonlinear dynamical systems. Via theoretical analysis, the guaranteed cost control problem involving a discounted utility ...

Laplacian Welsch Regularization for Robust Semisupervised Learning.

IEEE transactions on cybernetics
Semisupervised learning (SSL) has been widely used in numerous practical applications where the labeled training examples are inadequate while the unlabeled examples are abundant. Due to the scarcity of labeled examples, the performances of the exist...

Sampled-Data Stabilization for Boolean Control Networks With Infinite Stochastic Sampling.

IEEE transactions on cybernetics
Sampled-data state feedback control with stochastic sampling periods for Boolean control networks (BCNs) is investigated in this article. First, based on the algebraic form of BCNs, stochastic sampled-data state feedback control is applied to stabili...

Granularity and Entropy of Intuitionistic Fuzzy Information and Their Applications.

IEEE transactions on cybernetics
A granular structure of intuitionistic fuzzy (IF) information presents simultaneously the similarity and diversity of samples. However, this structural representation has rarely displayed its technical capability in data mining and information proces...

Deep learning prediction of sex on chest radiographs: a potential contributor to biased algorithms.

Emergency radiology
BACKGROUND: Deep convolutional neural networks (DCNNs) for diagnosis of disease on chest radiographs (CXR) have been shown to be biased against males or females if the datasets used to train them have unbalanced sex representation. Prior work has sug...

Semantic annotation for computational pathology: multidisciplinary experience and best practice recommendations.

The journal of pathology. Clinical research
Recent advances in whole-slide imaging (WSI) technology have led to the development of a myriad of computer vision and artificial intelligence-based diagnostic, prognostic, and predictive algorithms. Computational Pathology (CPath) offers an integrat...

Rich Structural Index for Stereoscopic Image Quality Assessment.

Sensors (Basel, Switzerland)
The human visual system (HVS), affected by viewing distance when perceiving the stereo image information, is of great significance to study of stereoscopic image quality assessment. Many methods of stereoscopic image quality assessment do not have co...

Non-invasive scoring of cellular atypia in keratinocyte cancers in 3D LC-OCT images using Deep Learning.

Scientific reports
Diagnosis based on histopathology for skin cancer detection is today's gold standard and relies on the presence or absence of biomarkers and cellular atypia. However it suffers drawbacks: it requires a strong expertise and is time-consuming. Moreover...