Search

Search

• 
  Fostering Appropriate Trust in Predictive Policing AI Systems
• 
  Meta-learning for Continual Learning
• 
  Deep reinforcement learning for predictive monitoring under LTLf constraints
• 
  Data-Centric AutoML and Benchmarks with Optimal Transport
• 
  Multi-Objective Rating Systems
• 
  Optimal training of a structured ensemble of Binarized Neural Networks with Mixed-Integer Linear Programming techniques
• 
  Open Machine Learning workshop
• 
  Predicting conversational memorability in group interactions: Continual learning approach
• 
  Mastering Natural Language Processing methodologies and technologies
• 
  Mastering Natural Language Processing and Process Mining methodologies and technologies
• 
  Towards Prototype-Based Explainable Machine Learning for Flood Detection
• 
  Samples Selection with Group Metric for Experience Replay in Continual Learning
• 
  Large Scale Combinatorial Graybox Optimization
• 
  Making big benchmarks more trustworthy: Identifying the capabilities and limitations of language models by improving the BIG-Bench benchmark
• 
  Learning Neural Algebras
• 
  Learning trustworthy models from positive and unlabelled data
• 
  Imagining the landscape after the AI Act
• 
  A Modular Framework for Hybrid Participatory Systems
• 
  Trustworthy AI for human behavior prediction by autonomous vehicles