Ettore Ritacco

Latest

• A Factorization Approach for Survival Analysis on Diffusion Networks
• Adversarial Regularized Reconstruction for Anomaly Detection and Generation
• Machine learning methods for generating high dimensional discrete datasets
• Using an autoencoder in the design of an anomaly detector for smart manufacturing
• Sequential Variational Autoencoders for Collaborative Filtering
• Predicting Temporal Activation Patterns via Recurrent Neural Networks
• Fault detection and explanation through big data analysis on sensor streams
• Survival Factorization on Diffusion Networks
• Probabilistic Approaches to Recommendations
• Probabilistic topic models for sequence data
• Hierarchical clustering of XML documents focused on structural components
• Balancing Prediction and Recommendation Accuracy: Hierarchical Latent Factors for Preference Data
• Probabilistic Sequence Modeling for Recommender Systems
• From global to local and viceversa: uses of associative rule learning for classification in imprecise environments
• A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering Data