Technology, science and the universe
Transparency Metrics
Transparency metrics in the explainable AI category are quantitative measures used to assess the clarity and comprehensibility of artificial intelligence systems and their decision-making processes…
Artificial intelligenceTransparency Reports
Transparency Reports are documents that provide information about the operations and decision-making processes of artificial intelligence (AI) systems. Their main objective is to foster trust and…
Artificial intelligenceTransparency Standards
Transparency Standards in the context of Explainable AI refer to a set of established criteria that artificial intelligence systems must meet to be considered transparent and explainable. These…
Artificial intelligenceTransverse
The term 'transverse' refers to something that is situated or extends across an object, concept, or system. In a broader context, it can imply the intersection of different disciplines, areas of…
Artificial intelligenceTree-based Methods
Tree-Based Methods are a family of algorithms that use tree structures for data analysis and modeling. These methods are particularly valued for their ability to handle both categorical and numerical…
Artificial intelligenceTree-based Models
Tree-Based Models are supervised learning techniques that use a hierarchical tree-like structure to make decisions based on input features. Each internal node of the tree represents a test on a…
Artificial intelligenceTree Clustering
Tree clustering is an unsupervised learning method that uses tree structures to represent the relationships between data points. This approach allows for grouping data based on their similarities…
Artificial intelligenceTrend Forecasting
Trend forecasting is the process of predicting future trends based on historical data. This approach is grounded in the collection and analysis of relevant data to identify patterns and behaviors…
Artificial intelligenceTrend prediction
Trend prediction in the context of AutoML (Automated Machine Learning) refers to the process of identifying and forecasting patterns in data over time using machine learning models. This approach…
Artificial intelligenceTriadic Models
Triadic Models are approaches that involve three interrelated components or modalities, allowing for a deeper and multifaceted understanding of a phenomenon or system. These models are used in…
Artificial intelligenceTriage in AI Ethics
Triage in AI ethics refers to the process of prioritizing ethical issues in the development and implementation of artificial intelligence based on their potential impact. This approach is crucial in…
Artificial intelligenceTRIM
TRIM is a DAX function that removes all spaces from a text except for single spaces between words. This function is essential for data cleaning, as it allows users to optimize the presentation of…
Artificial intelligenceTrue Negative
The term 'True Negative' refers to an outcome in the context of supervised learning, where a classification model correctly predicts the negative class of a dataset. In other words, it is an instance…
Artificial intelligenceTrue Positive
The term 'True Positive' (TP) refers to a case where a supervised learning model correctly predicts the positive class of a dataset. In the context of classification, a true positive occurs when the…
Artificial intelligenceTrue Positive Rate
The True Positive Rate (TPR) is a fundamental metric in the field of anomaly detection using artificial intelligence and machine learning. It is defined as the proportion of actual positive cases…
Artificial intelligenceTrust Frameworks
Trust Frameworks are structures that establish the conditions under which trust can be built in technology systems, including artificial intelligence (AI) systems. These frameworks are fundamental to…
Artificial intelligenceTrust Gap
The trust gap refers to the disparity between the trust users place in artificial intelligence (AI) systems and the actual reliability of these systems. This phenomenon is crucial in the realm of…
Artificial intelligenceTrust in AI
Trust in artificial intelligence (AI) refers to the belief that AI systems will act reliably and ethically. This concept is fundamental in the interaction between humans and machines, as the…
Artificial intelligenceTrust Models
Trust Models in the context of Explainable AI are conceptual frameworks that enable the evaluation and construction of trust in artificial intelligence systems through their transparency and…
Artificial intelligenceTrustworthiness Assessment
Trustworthiness assessment in the context of explainable artificial intelligence (XAI) refers to the process of analyzing and determining the reliability of an AI system, considering its transparency…
Artificial intelligenceTrustworthy AI
Trustworthy AI refers to artificial intelligence systems that are designed to be ethical, transparent, and responsible in their operation. This concept implies that the decisions made by AI are…
Artificial intelligenceTrustworthy Models
Reliable Models in the Multimodal Models category are systems designed to ensure reliability and trust in their results. These models integrate multiple modalities of data, such as text, images, and…
Artificial intelligenceTuning Algorithm
The tuning algorithm is a fundamental technique in the field of machine learning and model optimization, used to find the best configuration of hyperparameters that maximizes model performance…
Artificial intelligenceTuning Evaluation
Hyperparameter tuning evaluation refers to the process of measuring and analyzing the effectiveness of the hyperparameters set in a machine learning model. Hyperparameters are configurations…
