Gabriele Tolomei

Latest

CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks
GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations
MUSTACHE: Multi-Step-Ahead Predictions for Cache Eviction
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
Turning Federated Learning Systems Into Covert Channels
Generating Actionable Interpretations from Ensembles of Decision Trees
Machine Learning for Web Vulnerability Detection: The Case of Cross-Site Request Forgery
Treant: training evasion-aware decision trees
Adversarial Training of Gradient-Boosted Decision Trees
Mitch: A Machine Learning Approach to the Black-Box Detection of CSRF Vulnerabilities
Treant: Training Evasion-Aware Decision Trees
You must have clicked on this ad by mistake! Data-driven identification of accidental clicks on mobile ads with applications to advertiser cost discounting and click-through rate prediction
Advertising in the IoT Era: Vision and Challenges
Advertising in the IoT Era: Vision and Challenges
Spot the Difference: Your Bucket is Leaking : A Novel Methodology to Expose A/B Testing Effortlessly
Interpretable Predictions of Tree-based Ensembles via Actionable Feature Tweaking
Learning to Rank User Queries to Detect Search Tasks
A Supervised Learning Approach to Protect Client Authentication on the Web
Promoting Positive Post-Click Experience for In-Stream Yahoo Gemini Users
Quite a mess in my cookie jar!: leveraging machine learning to protect web authentication
Discovering tasks from search engine query logs
Modeling and predicting the task-by-task behavior of search engine users
SEED: a framework for extracting social events from press news
Trending Topics on Twitter Improve the Prediction of Google Hot Queries
Twitter anticipates bursts of requests for Wikipedia articles
Using Clustering to Improve the Structure of Natural Language Requirements Documents
A clustering-based approach for discovering flaws in requirements specifications
Automatic Analysis of Multimodal Requirements: A Research Preview
Discovering Europeana Users' Search Behavior
Identifying task-based sessions in search engine query logs
Improving Europeana Search Experience Using 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
Search the web x.0: mining and recommending web-mediated processes
SPRANKER: A Discovery Tool to Rank Service Providers Using Quality of Experience
An open standard solution for domotic interoperability