Address

2nd Floor - DEI - Room 2.8

Contact Information

Phone: +390805963011

Email: fedelucio.narducci@poliba.it


Teaching

Informatica per l

Basi di Dati

Fedelucio Narducci

Associate Professor

Publications

EmoSynth Real Time Emotion-Driven Sound Texture Synthesis via Brain-Computer Interface
ACM WeBIUM24 - 1st Workshop on Wearable Devices and Brain-Computer Interfaces for User Modelling - In conjunction with the 32nd ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2024)

DOI:

ARIEL: Brain-Computer Interfaces meet Large Language Models for Emotional Support Conversation.
ACM WeBIUM24 - 1st Workshop on Wearable Devices and Brain-Computer Interfaces for User Modelling - In conjunction with the 32nd ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2024)

DOI:

Towards a Neurofeedback Tool For Emotion Recognition Using Brain Computer Interface
WALS24 - The 3rd International Workshop on Web Applications for Life Sciences - In conjunction with the 24th International Conference on Web Engineering (ICWE 2024)

DOI:

Combining Biomechanical Features and Machine Learning Approaches to Identify Fencers Levels for Training Support
Applied Sciences

A general model for fair and explainable recommendation in the loan domain
Joint Workshop Proceedings of the 3rd Edition of Knowledge-aware and Conversational Recommender Systems (KaRS) and the 5th Edition of Recommendation in Complex Environments (ComplexRec) co-located with 15th ACM RecSys 2021, Amsterdam, 2021

Improving the User Experience and the Trustworthiness of Financial Services
Trustworthy AI Financial services Credit scoring Fairness Explainability Human-centered computing18th International Conference promoted by the IFIP Technical Committee 13 on Human Computer Interaction - (INTERACT 2021)

Explanation in Multi-Stakeholder Recommendation for Enterprise Decision Support Systems
Advanced Information Systems Engineering Workshops - CAiSE 2021 International Workshops, Melbourne, VIC, Australia,, 2021

How to Put Users in Control of their Data in Federated Top-N Recommendation with Learning to Rank
Proceedings of the 36th ACM SIGAPP Symposium On Applied Computing, SAC 2021, Gwangju, Korea (Virtual Event)