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Fabrizio Silvestri
Full Professor of
Computer Science
Sapienza University of Rome
Education
PhD in Computer Science, 2004
University of Pisa, Italy
MSc in Computer Science, 2000
University of Pisa, Italy
Latest
(∇) (τ): Gradient-based and Task-Agnostic machine Unlearning
Explain the Explainer: Interpreting Model-Agnostic Counterfactual Explanations of a Deep Reinforcement Learning Agent
Community Membership Hiding as Counterfactual Graph Search via Deep Reinforcement Learning
Prompt-to-OS (P2OS): Revolutionizing Operating Systems and Human-Computer Interaction with Integrated AI Generative Models
Prompt-to-OS (P2OS): Revolutionizing Operating Systems and Human-Computer Interaction with Integrated AI Generative Models
The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples
The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks
Editorial: Human-Interpretable Machine Learning
GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations
NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks
ReLAX: Reinforcement Learning Agent Explainer for Arbitrary Predictive Models
Sparse Vicious Attacks on Graph Neural Networks
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks
Generating Actionable Interpretations from Ensembles of Decision Trees
NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks
ReLACE: Reinforcement Learning Agent for Counterfactual Explanations of Arbitrary Predictive Models
Interpretable Predictions of Tree-based Ensembles via Actionable Feature Tweaking
Promoting Positive Post-Click Experience for In-Stream Yahoo Gemini Users
Discovering tasks from search engine query logs
Modeling and predicting the task-by-task behavior of search engine users
Identifying task-based sessions in search engine query logs
Detecting Task-Based Query Sessions Using Collaborative Knowledge
Towards a task-based search and recommender systems
Challenges in designing an interest-based distributed aggregation of users in P2P systems
SPRANKER: A Discovery Tool to Rank Service Providers Using Quality of Experience
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