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.
Network theory has very many application areas, where graphs are of primary importance, in e.g.,: -Communication networks -Epidemiology -Systems Biology -Social networks. Social Media (e.g., Twitter, Facebook, Instagram, to name a few) has had a tr...
Autonomous Marine Vessels come in many forms that have many applications, e.g.,: -Autonomous Ships -Autonomous Sailing Boats -Autonomous Underwater Vessels
Acoustic digital signals are ubiquitous and have many applications in several disciplines, notably in: -Digital Media, Social Media (music, voice signals), -Biomedical Signal Analysis and Diagnosis, -Scientific signal acquisition of any sort, e.g., E...
Provide a large (1 terabytes) Covid-19 chest CT-scan Dataset
A framework for robust image manipulation detection and localization by semantically combining diverse forensic information.
A data set of 380 million measurements from a hydraulic pump that can be mounted on an industrial robot, for example, to pump liquid paint for spray painting. The data set spans two months in 1-second intervals.
This library lists the outcomes of our research on video summarization and explainable AI-based summarization.
Descriptive and predictive analytics for manufacturing legacy and operational data related to maintenance, delivering insights on critical manufacturing operations.
EU-funded XMANAI project deals with bringing explainable AI to the Industry, and this asset is an example of the models developed during the project.
Our dream to make machines sense and perceive (notably see) comes true: nowadays Computer Vision enables diverse applications: -Autonomous Systems (cars, drones, vessels) Perception, -Robotics Perception and Control, -Intelligent Human-Machine Intera...
5 year dataset with information on when phenological states have been reached in 11 different plots in La Rioja - Spain.
Nowadays, digital images and video are everywhere. Image Processing revolutionizes very many domains, notably: -Digital Media (video/image/movie) Content Production and Broadcasting, Social Media Analytics, -Medical/Biological/Dental Imaging and Diagn...