Danilo Danese

According to our database, Danilo Danese authored at least 10 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Do Recommender Systems Really Leverage Multimodal Content? A Comprehensive Analysis on Multimodal Representations for Recommendation.

Claudio Pomo, Matteo Attimonelli, Danilo Danese, Fedelucio Narducci, Tommaso Di Noia

CoRR, August, 2025

Comparing XAI Explanations and Synthetic Data Augmentation Strategies in Neuroimaging AI.

Danilo Danese, Giuseppe Fasano, Angela Lombardi, Eugenio Di Sciascio, Tommaso Di Noia

Proceedings of the Explainable Artificial Intelligence, 2025

Explainable Evaluation of Emotion Recognition with Low-Cost EEG: Feature Engineering and Interpretability Insights.

Tommaso Colafiglio, Angela Lombardi, Paolo Sorino, Domenico Lofù, Danilo Danese, Fedelucio Narducci, Eugenio Di Sciascio, Tommaso Di Noia

Proceedings of the Joint Proceedings of the xAI 2025 Late-breaking Work, 2025

2024

NeuroSense: A Novel EEG Dataset Utilizing Low-Cost, Sparse Electrode Devices for Emotion Exploration.

Tommaso Colafiglio, Angela Lombardi, Paolo Sorino, Elvira Brattico, Domenico Lofù, Danilo Danese, Eugenio Di Sciascio, Tommaso Di Noia, Fedelucio Narducci

Dataset, October, 2024

NeuroSense: A Novel EEG Dataset Utilizing Low-Cost, Sparse Electrode Devices for Emotion Exploration.

Tommaso Colafiglio, Angela Lombardi, Paolo Sorino, Elvira Brattico, Domenico Lofù, Danilo Danese, Eugenio Di Sciascio, Tommaso Di Noia, Fedelucio Narducci

Dataset, October, 2024

Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation.

Matteo Attimonelli, Danilo Danese, Angela Di Fazio, Daniele Malitesta, Claudio Pomo, Tommaso Di Noia

CoRR, 2024

NeuroSense: A Novel EEG Dataset Utilizing Low-Cost, Sparse Electrode Devices for Emotion Exploration.

Tommaso Colafiglio, Angela Lombardi, Paolo Sorino, Elvira Brattico, Domenico Lofù, Danilo Danese, Eugenio Di Sciascio, Tommaso Di Noia, Fedelucio Narducci

IEEE Access, 2024

Optimizing Synthetic Data from Scarcity: Towards Meaningful Data Generation in High-Dimensional Low-Sample Size Domains.

Danilo Danese

Proceedings of the Joint Proceedings of the xAI 2024 Late-breaking Work, 2024

Ducho 2.0: Towards a More Up-to-Date Unified Framework for the Extraction of Multimodal Features in Recommendation.

Matteo Attimonelli, Danilo Danese, Daniele Malitesta, Claudio Pomo, Giuseppe Gassi, Tommaso Di Noia

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

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

Proceedings of the Current Trends in Web Engineering, 2024