Pubblicazioni

Optimizing Rare Disease Gait Classification through Data Balancing and Generative AI: Insights from Hereditary Cerebellar Ataxia

2024 - SENSORS

Trabassi, D.; Castiglia, S. F.; Bini, F.; Marinozzi, F.; Ajoudani, A.; Lorenzini, M.; Chini, G.; Varrecchia, T.; Ranavolo, A.; De Icco, R.; Casali, C.; Serrao, M.

Evaluating the Efficacy of Cut-and-Paste Data Augmentation in Semantic Segmentation for Satellite Imagery

2024 - IEEE International Symposium on Geoscience and Remote Sensing

Motoi, Ionut M.; Saraceni, Leonardo; Nardi, Daniele; Ciarfuglia, Thomas A.

Self-Supervised Data Generation for Precision Agriculture: Blending Simulated Environments with Real Imagery

2024 - 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE)

Saraceni, Leonardo; Motoi, IONUT MARIAN; Nardi, Daniele; Ciarfuglia, THOMAS ALESSANDRO

Speech and Language Impairment Detection by Means of AI-Driven Audio-Based Techniques

2024 - CEUR Workshop Proceedings

Corvitto, L.; Faiella, L.; Napoli, C.; Puglisi, A.; Russo, S.

Data augmentation driven by optimization for membrane separation process synthesis

2023 - COMPUTERS & CHEMICAL ENGINEERING

Addis, Bernardetta; Castel, Christophe; Macali, Amalia; Misener, Ruth; Piccialli, Veronica

Behavioural Cloning for Serious Games in Support of Pediatric Neurorehabilitation

2023 - 2023 31st Mediterranean Conference on Control and Automation (MED) - Proceedings

Baldisseri, F.; Montecchiani, E.; Maiani, A.; Menegatti, D.; Giuseppi, A.; Pietrabissa, A.; Fogliati, V.; Priscoli, F. D.

People Make Better Edits: Measuring the Efficacy of {LLM}-Generated Counterfactually Augmented Data for Harmful Language Detection

2023 - Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Sen, Indira; Assenmacher, Dennis; Samory, Mattia; Augenstein, Isabelle; van der Aalst, Wil; Wagner, Claudia

Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection

2022 - NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference

Sen, I.; Samory, M.; Wagner, C.; Augenstein, I.

Efficient data augmentation using graph imputation neural networks

2021 - Progresses in Artificial Intelligence and Neural Systems

Spinelli, I.; Scardapane, S.; Scarpiniti, M.; Uncini, A.

Bayesian analysis of ranking data with the Extended Plackett-Luce model

2020 - STATISTICAL METHODS & APPLICATIONS

Mollica, Cristina; Tardella, Luca

Neural Models for Brain Networks Connectivity Analysis

2020 - Computational Intelligence Methods for Bioinformatics and Biostatistics

Kusztos, R.; Dimitri, G. M.; Lio, P.

Constrained Extended Plackett-Luce model for the analysis of preference rankings

2018 - Book of Short Papers SIS 2018

Mollica, Cristina; Tardella, Luca

Bayesian binary quantile regression for the analysis of Bachelor-to-Master transition

2017 - JOURNAL OF APPLIED STATISTICS

Mollica, Cristina; Petrella, Lea

Bayesian Plackett--Luce Mixture Models for Partially Ranked Data

2017 - PSYCHOMETRIKA

Tardella, Luca; Mollica, C.

Bayesian logistic regression for presence-only data

2015 - STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Fabio, Divino; Natalia, Golini; JONA LASINIO, Giovanna; Antti, Pettinen