Persian Pronoun Resolution Using Data Driven Approaches. - Aria Nourbakhsh; Mohammad Bahrani (ICIST, 2017)

Toward Dialogue Modeling: A Semantic Annotation Scheme for Questions and Answers. - María Andrea Cruz Blandón; Gosse Minnema; Aria Nourbakhsh; Maria Boritchev; Maxime Amblard (LAW@ACL, 2019)

sthruggle at SemEval-2019 Task 5: An Ensemble Approach to Hate Speech Detection. - Aria Nourbakhsh; Frida Vermeer; Gijs Wiltvank; Rob van der Goot (SemEval@NAACL-HLT, 2019)

C-OSINT: COVID-19 Open Source Artificial INTelligence Framework. - Leonardo Ranaldi; Aria Nourbakhsh; Francesca Fallucchid; Fabio Massimo Zanzotto (ITASEC, 2022)

The Dark Side of the Language: Pre-trained Transformers in the DarkNet. - Leonardo Ranaldi; Aria Nourbakhsh; Arianna Patrizi; Elena Sofia Ruzzetti; Dario Onorati; Francesca Fallucchi; Fabio Massimo Zanzotto (CoRR, 2022)

The Dark Side of the Language: Pre-trained Transformers in the DarkNet. - Leonardo Ranaldi; Aria Nourbakhsh; Elena Sofia Ruzzetti; Arianna Patrizi; Dario Onorati; Michele Mastromattei; Francesca Fallucchi; Fabio Massimo Zanzotto (RANLP, 2023)

The Dark Side of the Language: Syntax-Based Neural Networks Rivaling Transformers in Definitely Unseen Sentences. - Dario Onorati; Leonardo Ranaldi; Aria Nourbakhsh; Arianna Patrizi; Elena Sofia Ruzzetti; Michele Mastromattei; Francesca Fallucchi; Fabio Massimo Zanzotto (WI/IAT, 2023)

Fine-Tuning a Large Language Model with Reinforcement Learning for Educational Question Generation. - Salima Lamsiyah; Abdelkader El Mahdaouy; Aria Nourbakhsh; Christoph Schommer (AIED (1), 2024)

Drug recommendation ranking for personalized medicine using outcomes of retrospective cancer patients. - Noemi Scarpato; Silvia Riondino; Aria Nourbakhsh; Mario Roselli; Patrizia Ferroni; Fiorella Guadagni; Fabio Massimo Zanzotto (Expert Syst. Appl., 2024)

Evaluating Explainable Machine Learning Models for Clinicians. - Noemi Scarpato; Aria Nourbakhsh; Patrizia Ferroni; Silvia Riondino; Mario Roselli; Francesca Fallucchi; Piero Barbanti; Fiorella Guadagni; Fabio Massimo Zanzotto (Cogn. Comput., 2024)

Privacy-Preserving Federated Learning for Student Dropout Prediction: Enhancing Model Transparency with Explainable AI. - Salima Lamsiyah; Aria Nourbakhsh; Samir El-amrany; Christoph Schommer (AIED (6), 2025)

Cluster Purge Loss: Structuring Transformer Embeddings for Equivalent Mutants Detection. - Adelaide Danilov; Aria Nourbakhsh; Christoph Schommer (CoRR, 2025)