Sara Pidò

According to our database, Sara Pidò authored at least 9 papers between 2019 and 2023.

Collaborative distances:

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

2023

Ask Your Data - Supporting Data Science Processes by Combining AutoML and Conversational Interfaces.

Sara Pidò, Pietro Pinoli, Pietro Crovari, Francesca Ieva, Franca Garzotto, Stefano Ceri

IEEE Access, 2023

Inference of Synthetically Lethal Pairs of Genes Involved in Metastatic Processes via Non-Negative Matrix Tri-Factorization.

Carolina Testa, Sara Pidò, Emanuela Jacchetti, Manuela Teresa Raimondi, Stefano Ceri, Pietro Pinoli

Proceedings of the 15th International Conference on Bioinformatics and Biomedical Technology, 2023

2022

GeCoAgent: A Conversational Agent for Empowering Genomic Data Extraction and Analysis.

Pietro Crovari, Sara Pidò, Pietro Pinoli, Anna Bernasconi, Arif Canakoglu, Franca Garzotto, Stefano Ceri

ACM Trans. Comput. Heal., 2022

MCTK: a Multi-modal Conversational Troubleshooting Kit for supporting users in web applications.

Giulio Antonio Abbo, Pietro Crovari, Sara Pidò, Pietro Pinoli, Franca Garzotto

Proceedings of the AVI 2022: International Conference on Advanced Visual Interfaces, Frascati, Rome, Italy, June 6, 2022

2021

Modelling the bioinformatics tertiary analysis research process.

Sara Pidò, Pietro Crovari, Franca Garzotto

BMC Bioinform., 2021

A Non-Negative Matrix Tri-Factorization Based Method for Predicting Antitumor Drug Sensitivity.

Carolina Testa, Sara Pidò, Pietro Pinoli

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2021

2020

Towards an Ontology for Tertiary Bioinformatics Research Process.

Pietro Crovari, Sara Pidò, Franca Garzotto

Proceedings of the Advances in Conceptual Modeling, 2020

Show, Don't Tell. Reflections on the Design of Multi-modal Conversational Interfaces.

Pietro Crovari, Sara Pidò, Franca Garzotto, Stefano Ceri

Proceedings of the Chatbot Research and Design - 4th International Workshop, 2020

2019

Network Modeling and Analysis of Normal and Cancer Gene Expression Data.

Gaia Ceddia, Sara Pidò, Marco Masseroli

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2019