The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples

Prompt-to-OS (P2OS): Revolutionizing Operating Systems and Human-Computer Interaction with Integrated AI Generative Models

FLIRT: Federated Learning for Information Retrieval

ReLAX: Reinforcement Learning Agent Explainer for Arbitrary Predictive Models

ISIDE: Proactively Assist University Students at Risk of Dropout

ChAALenge: An Ambient Assisted Living Project to Promote an Active and Health Ageing

CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks

Mitch: A Machine Learning Approach to the Black-Box Detection of CSRF Vulnerabilities

Adversarial Training of Gradient-Boosted Decision Trees

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

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

Using Clustering to Improve the Structure of Natural Language Requirements Documents

Twitter anticipates bursts of requests for Wikipedia articles

Trending Topics on Twitter Improve the Prediction of Google Hot Queries

SEED: a framework for extracting social events from press news

Modeling and predicting the task-by-task behavior of search engine users

Automatic Analysis of Multimodal Requirements: A Research Preview

A clustering-based approach for discovering flaws in requirements specifications

Improving Europeana Search Experience Using Query Logs

Identifying task-based sessions in search engine query logs

Towards a task-based search and recommender systems

Detecting Task-Based Query Sessions Using Collaborative Knowledge

Search the web x.0: mining and recommending web-mediated processes

Challenges in designing an interest-based distributed aggregation of users in P2P systems