📈 [CHI 2023] Results of the statistical analysis applied to the UTA11 guide.
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Updated
Jul 16, 2024 - HTML
📈 [CHI 2023] Results of the statistical analysis applied to the UTA11 guide.
This repository includes a machine learning modeling study about estimating customers hotel cancellation and what are the reasons for these cancellations.
This Tower of Hanoi Game Prototype is an attempt at explaining Q-learning and Reinforcement Learning Principles to People in an Intuitive and Interactive Way
Conway's Game of Life is sequential, here high-dimensional states are projected into the two-dimensional space, and connected, furthermore, meta-data is added to create interactive 2D visualizations.
Repository for "Endogenous Macrodynamics in Algorithmic Recourse" (Altmeyer et al., 2023)
A natural language processing and machine learning project that predicts spam messages and explains how it does so
In this article, the factors affecting BERT's transferability is explained through visualizations
This repository contains the code of a website to label the commentary for Reinforcement Learning decisions in Pong and Maze environment.
EUCA is a practical prototyping tool to support the design and evaluation of explainable AI for non-technical end-users
Design and implementation of a dashboard to display AI-based bankruptcy forecasting with the help of multiple and differentiated key figures about the company situation
Optimizing Mind static website v1
BKT parameter visualization with hot air balloons
Explainable AI for Healthcare
Visualizing the Knowledge Components and Areas of Bayesian Knowledge Tracing
📝 Trabalho final da disciplina PSQ 66 do Programa de Pós-Graduação em Psiquiatria e Ciências do Comportamento da Universidade Federal do Rio Grande do Sul (UFRGS)
Explainable AI Tooling (XAI). XAI is used to discover and explain a model's prediction in a way that is interpretable to the user. Relevant information in the dataset, feature-set, and model's algorithms are exposed.
Concise summaries of key papers in responsible AI.
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