ITIA2024 - Data Science 17/05/2024

ITIA2024 - Data Science track is calling for papers in the following areas

• General Machine Learning (active learning, clustering, online learning, ranking, reinforcement learning, supervised, semi- and self-supervised learning, time series analysis, etc.)
• Deep Learning (architectures, generative models, deep reinforcement learning, etc.)
• Learning Theory (bandits, game theory, statistical learning theory, etc.)
• Optimization (convex and non-convex optimization, matrix/tensor methods, stochastic, online, non-smooth, composite, etc.)
• Probabilistic Inference (Bayesian methods, graphical models, Monte Carlo methods, etc.)
• Applications of Machine Learning and Deep Learning (finance, fintech, edtech, computational biology, healthcare, neuroscience etc.)
• Generative AI (language models, vision models, multimodal models)
• Trustworthy and responsible AI
• Data Mining and Knowledge Discovery
• Knowledge representation and reasoning
• Data Models, Semantics, Query languages
• Data Visualization and Interactive Data Exploration
• Recommender Systems