The impact of Syntax Highlighting in Sonic Pi. - Giovanna Maria Dimitri (PPIG, 2015)

A multiplex network approach for the analysis of intracranial pressure and heart rate data in traumatic brain injured patients. - Giovanna Maria Dimitri; Shruti Agrawal; Adam Young; Joseph Donnelly; Xiuyun Liu; Peter Smielewski; Peter Hutchinson; Marek Czosnyka; Pietro Liò; Christina Haubrich (Appl. Netw. Sci., 2017)

DrugClust: A machine learning approach for drugs side effects prediction. - Giovanna Maria Dimitri; Pietro Liò (Comput. Biol. Chem., 2017)

Inductive-Transductive Learning with Graph Neural Networks. - Alberto Rossi; Matteo Tiezzi; Giovanna Maria Dimitri; Monica Bianchini; Marco Maggini; Franco Scarselli (ANNPR, 2018)

Neural Models for Brain Networks Connectivity Analysis. - Razvan Kusztos; Giovanna Maria Dimitri; Pietro Lió (CIBB, 2018)

Unsupervised stratification in neuroimaging through deep latent embeddings. - Giovanna Maria Dimitri; Simeon E. Spasov; Andrea Duggento; Luca Passamonti; Pietro Lio'; Nicola Toschi (EMBC, 2020)

A preliminary evaluation of Echo State Networks for Brugada syndrome classification. - Giovanna Maria Dimitri; Claudio Gallicchio; Alessio Micheli; Maria-Aurora Morales; Emanuele Ungaro; Federico Vozzi (SSCI, 2021)

SlAide2Voice: a new educational tool for students with visual disabilities. - Giorgio Ciano; Giovanna Maria Dimitri; Alberto Rossi; Giorgia Giacomini; Simone Bonechi; Paolo Andreini; Elisa Messori (teleXbe, 2021)

Machine learning application for patient stratification and phenotype/genotype investigation in a rare disease. - Ottavia Spiga; Vittoria Cicaloni; Giovanna Maria Dimitri; Francesco Pettini; Daniela Braconi; Andrea Bernini; Annalisa Santucci (Briefings Bioinform., 2021)

Detection and Localization of GAN Manipulated Multi-spectral Satellite Images. - Lydia Abady; Giovanna Maria Dimitri; Mauro Barni (ESANN, 2022)

Deep Semantic Segmentation Models in Computer Vision. - Paolo Andreini; Giovanna Maria Dimitri (ESANN, 2022)

Deep Learning Approaches for mice glomeruli segmentation. - Duccio Meconcelli; Simone Bonechi; Giovanna Maria Dimitri (ESANN, 2022)

A Short Survey on Deep Learning for Multimodal Integration: Applications, Future Perspectives and Challenges. - Giovanna Maria Dimitri (Comput., 2022)

A Multi-Modal Machine Learning Approach to Detect Extreme Rainfall Events in Sicily. - Eleonora Vitanza; Giovanna Maria Dimitri; Chiara Mocenni (CoRR, 2022)

Multimodal and multicontrast image fusion via deep generative models. - Giovanna Maria Dimitri; Simeon E. Spasov; Andrea Duggento; Luca Passamonti; Pietro Lió; Nicola Toschi (Inf. Fusion, 2022)

A Siamese Based System for City Verification. - Omran Alamayreh; Jun Wang 061; Giovanna Maria Dimitri; Benedetta Tondi; Mauro Barni (ECAI, 2023)

Which Country is This Picture From? New Data and Methods For Dnn-Based Country Recognition. - Omran Alamayreh; Giovanna Maria Dimitri; Jun Wang 061; Benedetta Tondi; Mauro Barni (ICASSP, 2023)

WoA: An Infrastructural, Web-Based Approach to Digital Agriculture. - Stefano Chessa; Giovanna Maria Dimitri; Marco Gori; Alexander Kocian (ISAmI, 2023)

A Preliminary Evaluation of Machine Learning Models for the Diagnosis of Brugada Syndrome from ECG-Extracted Features. - Alessio Micheli; Giovanna Maria Dimitri; Luca Pedrelli; Marco Tranchida; Lorenzo Bachi; Lucia Billeci; Maria-Aurora Morales; Federico Vozzi (WIRN, 2023)

Is Facebook regionally a small world network? - Giovanna Maria Dimitri (CoRR, 2023)

Impact of the Covid 19 outbreaks on the italian twitter vaccination debat: a network based analysis. - Veronica Lachi; Giovanna Maria Dimitri; Alessandro Di Stefano; Pietro Liò; Monica Bianchini; Chiara Mocenni (CoRR, 2023)

Deep learning techniques for biomedical data processing. - Monica Bianchini; Giovanna Maria Dimitri (Intell. Decis. Technol., 2023)

Modular Multi-Source Prediction of Drug Side-Effects With DruGNN. - Pietro Bongini; Franco Scarselli; Monica Bianchini; Giovanna Maria Dimitri; Niccolò Pancino; Pietro Lió (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Speech emotion recognition with artificial intelligence for contact tracing in the COVID-19 pandemic. - Francesco Pucci; Pasquale Fedele; Giovanna Maria Dimitri (Cogn. Comput. Syst., 2023)

Agricultural Data Space: the METRIQA Platform and a Case Study in the CODECS project. - Manlio Bacco; Alexander Kocian; Antonino Crivello; Marco Gori; Giovanna Maria Dimitri; Paolo Barsocchi; Gianluca Brunori; Stefano Chessa (FedCSIS, 2024)

Interoperable Traceability in Supply Chains: A Use Case in Agritech. - Giovanni Farina; Gianluca Brunori; Stefano Chessa; Alexander Kocian; Maria Bonaria Lai; Daniele Nardi; Claudio Schifanella; Susanna Bonura; Nicola Masi; Fiorenzo Ambrosino; Angelo Mariano; Lucio Colizzi; et al. (INTSYS, 2024)

Graph Neural Networks for Missing Data Imputation in Time Series from Meteorological Sensors. - Giovanna Maria Dimitri; Irene Cappelli; Franco Scarselli; Ada Fort; Marco Gori (MetroXRAINE, 2024)

Enhancing glomeruli segmentation through cross-species pre-training. - Paolo Andreini; Simone Bonechi; Giovanna Maria Dimitri (Neurocomputing, 2024)

A One-Class Classifier for the Detection of GAN Manipulated Multi-Spectral Satellite Images. - Lydia Abady; Giovanna Maria Dimitri; Mauro Barni (Remote. Sens., 2024)

A novel solution for the development of a sentimental analysis chatbot integrating ChatGPT. - Filippo Florindi; Pasquale Fedele; Giovanna Maria Dimitri (Pers. Ubiquitous Comput., 2024)

Beyond Pixels: Sentiment-Based Assessment of Image Inpainting Techniques with Application to Forgery Removal. - Marco Blanchini; Giovanna Maria Dimitri; Mauro Barni (DSP, 2025)

Semiotic-Based Construction of a Large Emotional Image Dataset with Neutral Samples. - Marco Blanchini; Giovanna Maria Dimitri; Lydia Abady; Benedetta Tondi; Tarcisio Lancioni; Mauro Barni (WACV, 2025)

Enhancing Synthetic Generated-Images Detection through Post-Hoc Calibration. - Giovanna Maria Dimitri; Benedetta Tondi; Mauro Barni (WACV (Workshops), 2025)

WeAIR: Wearable Swarm Sensors for Air Quality Monitoring to Foster Citizens' Awareness of Climate Change. - Giovanna Maria Dimitri; Lorenzo Parri; Eleonora Vitanza; Alessandro Pozzebon; Ada Fort; Chiara Mocenni (Comput. Stand. Interfaces, 2025)

Toward Explainable Offline RL: Analyzing Representations in Intrinsically Motivated Decision Transformers. - Leonardo Guiducci; Antonio Rizzo; Giovanna Maria Dimitri (CoRR, 2025)