Search
Search Results
-
Histopathological Image Analysis with Style-Augmented Feature Domain Mixing for Improved Generalization
Histopathological images are essential for medical diagnosis and treatment planning, but interpreting them accurately using machine learning can be...
-
Mixing Approach for Text Data Augmentation Based on an Ensemble of Explainable Artificial Intelligence Methods
To improve the accuracy and robustness of a model, text data augmentation is utilized to expand data. Among various text data augmentation...
-
LMT: Longitudinal Mixing Training, a Framework to Predict Disease Progression from a Single Image
Longitudinal imaging is able to capture both static anatomical structures and dynamic changes in disease progression toward earlier and better...
-
An overview of mixing augmentation methods and augmentation strategies
Deep Convolutional Neural Networks have made an incredible progress in many Computer Vision tasks. This progress, however, often relies on the...
-
Offence Detection in Dravidian Languages Using Code-Mixing Index-Based Focal Loss
Over the past decade, we have seen exponential growth in online content fueled by social media platforms. Data generation of this scale comes with...
-
-
Multisensor Maneuvering Target Fusion Tracking Using Interacting Multiple Model
AbstractFor multisensor maneuvering target tracking, two important factors affecting the tracking performance are: (1) the uncertainty of the target...
-
Socioeconomic biases in urban mixing patterns of US metropolitan areas
Urban areas serve as melting pots of people with diverse socioeconomic backgrounds, who may not only be segregated but have characteristic mobility...
-
Mixing Grain to Improve Profitability in Winter Wheat Using Evolutionary Algorithms
This paper considers an important component of the wheat distribution problem known as grain mixing (wheat blending). We represent the grain mixing...
-
Influence of heterogeneous edge weights on assortative mixing patterns in military personnel networks
A toy model to examine the effect of a heterogeneous edge weight structure on assortative mixing patterns is developed. This model is used as a...
-
Learning Channel Importance for High Content Imaging with Interpretable Deep Input Channel Mixing
Uncovering novel drug candidates for treating complex diseases remain one of the most challenging tasks in early discovery research. To tackle this...
-
MAMixer: Multivariate Time Series Forecasting via Multi-axis Mixing
Sensor data, such as traffic flow monitoring data, constitutes a type of multimedia data. Forecasting sensor data holds significant potential for...
-
Optimisation of artificial intelligence models and response surface methodology for predicting viscosity and relative viscosity of GNP-alumina hybrid nanofluid: incorporating the effects of mixing ratio and temperature
The viscosity properties of GNP-alumina hybrid nanofluids are of significant importance in various engineering applications. This study compares the...
-
Underdetermined mixing matrix estimation based on time-frequency single source points detection and eigenvalue decomposition
In this paper, a method of mixing matrix estimation based on time-frequency single source points detection and eigenvalue decomposition is proposed...
-
Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subty**
Whole-slide image analysis via the means of computational pathology often relies on processing tessellated gigapixel images with only slide-level...
-
3D Shape Analysis Through a Quantum Lens: the Average Mixing Kernel Signature
The Average Mixing Kernel Signature is a novel spectral signature for points on non-rigid three-dimensional shapes. It is based on a quantum...
-
Hyperplane patch mixing-and-folding decoder and weighted chamfer distance loss for 3D point set reconstruction
3D point set reconstruction is an important and challenging 3D shape analysis task. Current state-of-the-art algorithms for 3D point set...
-
Enhancing cognitive ability through a VR serious game training model mixing Piaget’s epistemological methodology and Lumosity concept
Recent studies have shown that children’s cognitive function can be improved through relevant training. In order to improve the cognitive impairment...
-
A novel mixing matrix estimation method for underdetermined blind source separation based on sparse subspace clustering
It is essential to accurately estimate the mixing matrix and determine the number of source signals in the problem of underdetermined blind source...
-
AMixer: Adaptive Weight Mixing for Self-attention Free Vision Transformers
Vision Transformers have shown state-of-the-art results for various visual recognition tasks. The dot-product self-attention mechanism that replaces...