Explainable AI (XAI) investigates methods for analyzing or complementing AI models to make the internal logic and output of algorithms transparent and interpretable, making these processes humanly understandable and meaningful. Some might dispute the need for XAI, and it is true that there is no need for explainability in certain applications. This assumption may well be true in cases where the ultimate goal is the maximum performance, for example in a cat-vs-dog image classifier. This is not the case, however, when these applications concern people's lives and well-being. A system proposing a specific amount of a drug to a patient, or a system suggesting prison time for a defendant must have an element of being questionable and reasonable. Explainability of such systems will provide transparency and allow human experts to be advised, rather than blindly rely on them.
Our AI-Based Predictive Sales Software enables B2B sales managers to forecast cross-sell, churn risk accurately, and determine the appropriate pricing analytics with one click.
5 year dataset with information on when phenological states have been reached in 11 different plots in La Rioja - Spain.
OpenManufacturing ontology extends the OpenML ontology that contains classes for representing different aspects of machine learning. OpenManufacturing extends the base ontology adding two main classes and three taxonomies representing elements relevant to...
Nowadays, Artificial Intelligence drives scientific and economic growth worldwide. This is largely due to advances in Machine Learning (ML). Its applications span and revolutionize almost every human activity: - Autonomous Systems (cars, drones, vessels)...
This dataset contains corrected PM10 measurements for Sofia Jan-May 2022 fetched from Sensor Community and calibrated with an Extremely Randomised Tree.
2D Computer Vision and Image Analysis revolutionize very many domains, notably: -Medical/Biological/Dental Image Analysis and Diagnosis, -Autonomous systems perception -Digital Media (video/image) and Social Media Analytics, -Big Visual Data Analyti...
PDSim is an extension of the Unity game engine, adding support for visualising plans to the Unified Planning framework developed by the AIPlan4EU project. This asset enables the simulation and visualization of generated plans through 2D/3D animations.
Digital Signals and Systems are everywhere. Digital 1D signals, 2D signals (images) and 3D signals (video) encompass the vast majority of digital information nowadays in several disciplines: -Digital Media, Social Media (music, images, video), -Biome...
Automatic Control and Robotics have great applications in Industry, notably in assembly lines and the automation of industrial processes, as well as in medicine and in assisted living. In particular, companion robots are very timely and get a lot of atten...
Conclusive Local Interpretation Rules for Random Forests through LionForests
2D Computer Vision and Image Analysis revolutionize very many domains, notably: -Medical/Biological/Dental Image Analysis and Diagnosis, -Autonomous systems perception -Digital Media (video/image) and Social Media Analytics, -Big Visual Data Analyti...
The asset presents a datasets related to the hourly and daily electricity consumption of buildings located in Helsinki and weather-related indicators from the nearest meteorological station