Francesca Maridina Malloci

According to our database, Francesca Maridina Malloci authored at least 17 papers between 2018 and 2025.

Collaborative distances:

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

2025

Can Path-Based Explainable Recommendation Methods based on Knowledge Graphs Generalize for Personalized Education?

Neda Afreen, Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Francesca Maridina Malloci, Mirko Marras, Andrea Giovanni Martis

Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, 2025

International Workshop on Algorithmic Bias in Search and Recommendation (BIAS 2025).

Alejandro Bellogín, Ludovico Boratto, Styliani Kleanthous, Elisabeth Lex, Francesca Maridina Malloci, Mirko Marras

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

2024

Report on the 5th International Workshop on Algorithmic Bias in Search and Recommendation (BIAS 2024) at SIGIR 2024.

Alejandro Bellogín, Ludovico Boratto, Styliani Kleanthous, Elisabeth Lex, Francesca Maridina Malloci, Mirko Marras

SIGIR Forum, December, 2024

1st International Workshop on User-Centered Practices of Knowledge Discovery in Educational Data.

Francesca Maridina Malloci, Paola Mejia, Agathe Merceron, Anna Monreale, Daniela Rotelli

Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024

Learner-centered Ontology for Explainable Educational Recommendation.

Neda Afreen, Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Francesca Maridina Malloci, Mirko Marras, Andrea Giovanni Martis

Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024

International Workshop on Algorithmic Bias in Search and Recommendation (BIAS).

Alejandro Bellogín, Ludovico Boratto, Styliani Kleanthous, Elisabeth Lex, Francesca Maridina Malloci, Mirko Marras

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Explainable Recommender Systems with Knowledge Graphs and Language Models.

Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Francesca Maridina Malloci, Mirko Marras

Proceedings of the Advances in Information Retrieval, 2024

EDGE: A Conversational Interface driven by Large Language Models for Educational Knowledge Graphs Exploration.

Neda Afreen, Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Francesca Maridina Malloci, Mirko Marras, Andrea Giovanni Martis

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Plant Disease Detection Using Deep Learning: A Proof of Concept on Pear Leaf Disease Detection.

Gianni Fenu, Francesca Maridina Malloci, Marcello Onorato, Marco Secondo Gerardi, Angela Scano

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

2021

DiaMOS Plant Dataset: A Dataset for Diagnosis and Monitoring Plant Disease.

Gianni Fenu, Francesca Maridina Malloci

Dataset, October, 2021

Lands DSS: A Decision Support System for Forecasting Crop Disease in Southern Sardinia.

Gianni Fenu, Francesca Maridina Malloci

Int. J. Decis. Support Syst. Technol., 2021

Using Multioutput Learning to Diagnose Plant Disease and Stress Severity.

Gianni Fenu, Francesca Maridina Malloci

Complex., 2021

Forecasting Plant and Crop Disease: An Explorative Study on Current Algorithms.

Gianni Fenu, Francesca Maridina Malloci

Big Data Cogn. Comput., 2021

2020

A Text Mining Approach to Extract and Rank Innovation Insights from Research Projects.

Francesca Maridina Malloci, Laura Portell Penadés, Ludovico Boratto, Gianni Fenu

Proceedings of the Web Information Systems Engineering - WISE 2020, 2020

Artificial Intelligence Technique in Crop Disease Forecasting: A Case Study on Potato Late Blight Prediction.

Gianni Fenu, Francesca Maridina Malloci

Proceedings of the Intelligent Decision Technologies, 2020

2019

An Application of Machine Learning Technique in Forecasting Crop Disease.

Gianni Fenu, Francesca Maridina Malloci

Proceedings of the 3rd International Conference on Big Data Research, 2019

2018

Leveraging Cognitive Computing for Gender and Emotion Detection.

Andrea Corriga, Simone Cusimano, Francesca Maridina Malloci, Lodovica Marchesi, Diego Reforgiato Recupero

Proceedings of 4th Workshop on Sentic Computing, 2018