Maddalena Amendola

According to our database, Maddalena Amendola authored at least 10 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Leveraging Topic Specificity and Social Relationships for Expert Finding in Community Question Answering Platforms.

Maddalena Amendola, Andrea Passarella, Raffaele Perego

ACM Trans. Inf. Syst., March, 2026

Gender Disparities in StackOverflow's Community-Based Question Answering: A Matter of Quantity versus Quality.

Maddalena Amendola, Cosimo Rulli, Carlos Castillo, Andrea Passarella, Raffaele Perego

CoRR, January, 2026

Spatial RAG for Big Data-Driven Urban Itinerary Recommendation.

Maddalena Amendola, Chiara Pugliese, Raffaele Perego, Chiara Renso

Proceedings of the Workshops of the EDBT/ICDT 2026 Joint Conference co-located with the EDBT/ICDT 2025 Joint Conference, 2026

2025

Spatially-Enhanced Retrieval-Augmented Generation for Walkability and Urban Discovery.

Maddalena Amendola, Chiara Pugliese, Raffaele Perego, Chiara Renso

CoRR, December, 2025

A Spatially-Grounded Conversational Planner for Personalized Urban Itineraries.

Chiara Pugliese, Maddalena Amendola, Raffaele Perego, Chiara Renso

Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025

2024

Understanding and Addressing Gender Bias in Expert Finding Task.

Maddalena Amendola, Carlos Castillo, Andrea Passarella, Raffaele Perego

CoRR, 2024

Towards Robust Expert Finding in Community Question Answering Platforms.

Maddalena Amendola, Andrea Passarella, Raffaele Perego

Proceedings of the Advances in Information Retrieval, 2024

2023

Social search: Retrieving information in Online Social platforms - A survey.

Maddalena Amendola, Andrea Passarella, Raffaele Perego

Online Soc. Networks Media, July, 2023

2021

Data Assimilation in the Latent Space of a Convolutional Autoencoder.

Maddalena Amendola, Rossella Arcucci, Laetitia Mottet, César Quilodrán Casas, Shiwei Fan, Christopher C. Pain, Paul Linden, Yi-Ke Guo

Proceedings of the Computational Science - ICCS 2021, 2021

2020

Data Assimilation in the Latent Space of a Neural Network.

Maddalena Amendola, Rossella Arcucci, Laetitia Mottet, César Quilodrán Casas, Shiwei Fan, Christopher C. Pain, Paul Linden, Yi-Ke Guo

CoRR, 2020