Gabriele Tolomei

Latest

(∇) (τ): Gradient-based and Task-Agnostic machine Unlearning
Explain the Explainer: Interpreting Model-Agnostic Counterfactual Explanations of a Deep Reinforcement Learning Agent
A Byzantine-Resilient Aggregation Scheme for Federated Learning via Matrix Autoregression on Client Updates
A Survey on Decentralized Federated Learning
Community Membership Hiding as Counterfactual Graph Search via Deep Reinforcement Learning
FLIRT: Federated Learning for Information Retrieval
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
ChAALenge: An Ambient Assisted Living Project to Promote an Active and Health Ageing
Editorial: Human-Interpretable Machine Learning
GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations
ISIDE: Proactively Assist University Students at Risk of Dropout
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
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks
Covert Channel Attack to Federated Learning Systems
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
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
Enhancing web search user experience : from document retrieval to task recommendation
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