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Found 8 papers, 2 papers with code
A multi-level approach for hierarchical Ticket Classification
The automatic categorization of support tickets is a fundamental tool for modern businesses.
Stop overkilling simple tasks with black-box models and use transparent models instead
In recent years, the employment of deep learning methods has led to several significant breakthroughs in artificial intelligence.
Fruit Ripeness Classification: a Survey
Thus, there is an arising need for automation in fruit ripeness classification.
A Theoretical Framework for AI Models Explainability with Application in Biomedicine
EXplainable Artificial Intelligence (XAI) is a vibrant research topic in the artificial intelligence community, with growing interest across methods and domains.
Unsupervised semantic discovery through visual patterns detection
We propose a new fast fully unsupervised method to discover semantic patterns.
Parameter-Free Lens Distortion Calibration of Central Cameras
At the core of many Computer Vision applications stands the need to define a mathematical model describing the imaging process.
Adopting an Unconstrained Ray Model in Light-Field Cameras for 3D Shape Reconstruction
This results in several drawbacks, ranging from the difficulties in feature detection, due to the reduced size of each microlens, to the need to adopt a model with a relatively small number of parameters.
Can a Fully Unconstrained Imaging Model Be Applied Effectively to Central Cameras?
Traditional camera models are often the result of a compromise between the ability to account for non-linearities in the image formation model and the need for a feasible number of degrees of freedom in the estimation process.
