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AI for Supporting the Freedom of Drawing
Artificial intelligence (AI) has recently been develo** rapidly in image processing and generation. AI is not only starting to take over repetitive...
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Web-based drawing for students with different learning styles and cognitive abilities
Image-text conversion for web-based drawing involves mental activities of reification which sometimes leads students fluent in graphical hand skills...
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Interpretable Drawing Psychoanalysis via House-Tree-Person Test
As the number of people with psychological disorders continues to increase in recent years, it is particularly important to identify patients at an...
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Drawing Graphics and Text
In this chapter, we will take a closer look at the Processing API for drawing shapes, images, and text, with several code examples illustrating the...
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Child psychological drawing pattern detection on OBGET dataset, a case study on accuracy based on MYOLO v5 and MResNet 50
The interpretation of drawing psychological data is amazing, and they behave differently in various situations like age. This research compares...
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Re-interpreting rules interpretability
Trustworthy machine learning requires a high level of interpretability of machine learning models, yet many models are inherently black-boxes....
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From Pluralistic Normative Principles to Autonomous-Agent Rules
With recent advancements in systems engineering and artificial intelligence, autonomous agents are increasingly being called upon to execute tasks...
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A multi-agent-based approach for community detection using association rules
In recent years, community detection has emerged as an important field of research, exerting a profound influence on various domains such as Social...
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Incremental Mining on Association Rules
The discovery of association rules has been known to be useful in selective marketing, decision analysis, and business management. An important...
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Adaptive controller based on quantum computation and coherent superposition fuzzy rules network with unknown nonlinearities
In the realm of control engineering applications, compensating for unknown dynamics and nonlinearities is of paramount importance for sha**...
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Explaining Predictions by Characteristic Rules
Characteristic rules have been advocated for their ability to improve interpretability over discriminative rules within the area of rule learning....
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Drawing Types and Functions
Whatever else there might be in a computer, there are always lots of wires. In modern computers, most wires are printed on a chip. In higher animals,...
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A State-of-Art Review on Intelligent Systems for Drawing Assisting
The development of deep learning algorithms has prompted many attempts to apply AI(Artificial Intelligence) to artistic creation in the last decade....
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Rules embedded harris hawks optimizer for large-scale optimization problems
Harris Hawks Optimizer (HHO) is a recent optimizer that was successfully applied for various real-world problems. However, working under large-scale...
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A Schnyder-Type Drawing Algorithm for 5-Connected Triangulations
We define some Schnyder-type combinatorial structures on a class of planar triangulations of the pentagon which are closely related to 5-connected...
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Conclusive local interpretation rules for random forests
In critical situations involving discrimination, gender inequality, economic damage, and even the possibility of casualties, machine learning models...
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Information theoretical properties of a spiking neuron trained with Hebbian and STDP learning rules
Using formal methods complemented by large-scale simulations we investigate information theoretical properties of spiking neurons trained using...
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Building a model to exploit association rules and analyze purchasing behavior based on rough set theory
In recent years, the information technology industry around the world has grown strong. At the same time, we also face a new challenge with the...
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Jointly Learning Structure-Augmented Semantic Representation and Logical Rules for Knowledge Graph Completion
Knowledge Graph Complementation (KGC) aims to predict the missing triples in incomplete knowledge graphs (KGs). However, existing approaches rely...
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Observing Strategies of Drawing Data Representations
New methods for the assessment of drawing strategies are examined that focus on the analysis of perceptual chunking. The methods are demonstrated...