Movie Rating Prediction Using Multimedia Content and Modeling as a Classification Problem. - Fatemeh Nazary; Yashar Deldjoo (MediaEval, 2018)

Interacting with Features: Visual Inspection of Black-box Fault Type Classification Systems in Electrical Grids. - Carmelo Ardito; Yashar Deldjoo; Eugenio Di Sciascio; Fatemeh Nazary (XAI.it@AI*IA, 2020)

ISCADA: Towards a Framework for Interpretable Fault Prediction in Smart Electrical Grids. - Carmelo Ardito; Yashar Deldjoo; Eugenio Di Sciascio; Fatemeh Nazary; Gianluca Sapienza (INTERACT (5), 2021)

Revisiting Security Threat on Smart Grids: Accurate and Interpretable Fault Location Prediction and Type Classification. - Carmelo Ardito; Yashar Deldjoo; Eugenio Di Sciascio; Fatemeh Nazary (ITASEC, 2021)

IEEE13-AdvAttack A Novel Dataset for Benchmarking the Power of Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grid. - Carmelo Ardito; Yashar Deldjoo; Tommaso Di Noia; Eugenio Di Sciascio; Fatemeh Nazary (CIKM, 2022)

Visual inspection of fault type and zone prediction in electrical grids using interpretable spectrogram-based CNN modeling. - Carmelo Ardito; Yashar Deldjoo; Tommaso Di Noia; Eugenio Di Sciascio; Fatemeh Nazary (Expert Syst. Appl., 2022)

ChatGPT-HealthPrompt. Harnessing the Power of XAI in Prompt-Based Healthcare Decision Support using ChatGPT. - Fatemeh Nazary; Yashar Deldjoo; Tommaso Di Noia (ECAI Workshops (1), 2023)

Smart Electrical Grids Under the Lens of Adversarial Attacks. - Fatemeh Nazary; Yashar Deldjoo; Tommaso Di Noia; Carmelo Ardito; Eugenio Di Sciascio (Ital-IA, 2023)

Machine-learned Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grids. - Carmelo Ardito; Yashar Deldjoo; Tommaso Di Noia; Eugenio Di Sciascio; Fatemeh Nazary; Giovanni Servedio (CoRR, 2023)

Integrating eXplainable AI in Healthcare: A Web Application Framework for Advancing the One Health Paradigm. - Danilo Danese; Tommaso Di Noia; Angela Lombardi; Domenico Lofù; Fatemeh Nazary; Rodolfo Sardone; Paolo Sorino (ICWE Workshops, 2024)

XAI4LLM. Let Machine Learning Models and LLMs Collaborate for Enhanced In-Context Learning in Healthcare. - Fatemeh Nazary; Yashar Deldjoo; Tommaso Di Noia; Eugenio Di Sciascio (CoRR, 2024)

A Review of Modern Fashion Recommender Systems. - Yashar Deldjoo; Fatemeh Nazary; Arnau Ramisa; Julian J. McAuley; Giovanni Pellegrini; Alejandro Bellogín; Tommaso Di Noia (ACM Comput. Surv., 2024)

Poison-RAG: Adversarial Data Poisoning Attacks on Retrieval-Augmented Generation in Recommender Systems. - Fatemeh Nazary; Yashar Deldjoo; Tommaso Di Noia (ECIR (4), 2025)

Stealthy LLM-Driven Data Poisoning Attacks Against Embedding-Based Retrieval-Augmented Recommender Systems. - Fatemeh Nazary; Yashar Deldjoo; Tommaso Di Noia; Eugenio Di Sciascio (UMAP (Adjunct Publication), 2025)

RAG-VisualRec: An Open Resource for Vision- and Text-Enhanced Retrieval-Augmented Generation in Recommendation. - Ali Tourani; Fatemeh Nazary; Yashar Deldjoo (CoRR, 2025)

ViLLA-MMBench: A Unified Benchmark Suite for LLM-Augmented Multimodal Movie Recommendation. - Fatemeh Nazary; Ali Tourani; Yashar Deldjoo; Tommaso Di Noia (CoRR, 2025)