dotAI is the annual Artificial Intelligence conference in Europe, gathering the world's brightest AI experts, scholars, and industry leaders. We offer an unparalleled platform for you to delve into the latest developments, trends, and practices in AI, while enjoying a unique social experience at the historic Folies Bergère theater in Paris.
Welcome to dotAI, a world-class Artificial Intelligence conference held in Paris, France. We are proud to announce that after a successful 2024 edition, we will be back on November 6, 2025. Look forward to discussing the future of AI with you, featuring a world-class lineup of speakers and enjoying the social and cultural atmosphere of Paris. Join dotAI, the world's brightest AI conference for developers, the 17th and 18th of October in Paris. Get the latest news, features and best practices about Artificial Intelligence.
This repository provides code and data for automatic depression detection using a GRU/BiLSTM-based model. It includes an emotional audio-textual corpus designed to support the diagnosis of psychological distress conditions such as anxiety, depression, and post-traumatic stress disorder.
The iBVP dataset is a collection of synchronized RGB and thermal infrared videos with PPG ground-truth signals acquired from an ear. It includes manual signal quality labels and dense signal-quality assessment using the SQA-PhysMD model. The dataset is designed to induce real-world variations in psycho-physiological states and head movement.
The DS4C dataset is a structured collection of COVID-19 data from South Korea, based on reports from the Korea Centers for Disease Control & Prevention (KCDC) and local governments. It includes information on infections, patient routes, and various analyses. The dataset has been used for multiple research and visualization projects.