Fernando Spadea

According to our database, Fernando Spadea authored at least 15 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

From Risk to Rescue: An Agentic Survival Analysis Framework for Liquidation Prevention.

Fernando Spadea, Oshani Seneviratne

CoRR, April, 2026

Benchmarking Temporal Web3 Intelligence: Lessons from the FinSurvival 2025 Challenge.

Oshani Seneviratne, Fernando Spadea, Adrien Pavao, Aaron Micah Green, Kristin P. Bennett

Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

Toward Trustworthy Personal AI: A Sovereign Agentic Web Architecture Using Solid, Federated Learning, and Personal Knowledge Graphs.

Fernando Spadea, Lorenzo Carta, Abhirup Dasgupta, Md. Saikat Islam Khan Bappy, Oshani Seneviratne

Proceedings of the 2nd Workshop on Trust, 2026

Federated Personal Knowledge Graph Completion with Lightweight Large Language Models for Personalized Recommendations.

Fernando Spadea, Oshani Seneviratne

Proceedings of the Semantic Web - 23rd European Semantic Web Conference, 2026

2025

Explainable Federated Learning for U.S. State-Level Financial Distress Modeling.

Lorenzo Carta, Fernando Spadea, Oshani Seneviratne

CoRR, November, 2025

Avoiding Over-Personalization with Rule-Guided Knowledge Graph Adaptation for LLM Recommendations.

Fernando Spadea, Oshani Seneviratne

CoRR, September, 2025

Federated Fine-Tuning of Large Language Models: Kahneman-Tversky vs. Direct Preference Optimization.

Fernando Spadea, Oshani Seneviratne

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Bursting the Filter Bubble with Knowledge Graph Inversion.

Fernando Spadea, Oshani Seneviratne

Proceedings of the Companion Publication of the 17th ACM Web Science Conference 2025, 2025

Avoiding Overpersonalization with Rule-Guided Knowledge Graph Adaptation for LLM Recommendations.

Fernando Spadea, Oshani Seneviratne

Proceedings of the Joint Proceedings of Industry, 2025

Enhancing Recommendation Systems Using Large Language Models and Personalized Knowledge Graphs.

Fernando Spadea

Proceedings of the Joint Proceedings of Industry, 2025

Parallel and Multi-Stage Knowledge Graph Retrieval for Behaviorally Aligned Financial Asset Recommendations.

Fernando Spadea, Oshani Seneviratne

Proceedings of the Second International Workshop on Retrieval-Augmented Generation Enabled by Knowledge Graphs (RAGE-KG 2025) co-located with the 24th International Semantic Web Conference (ISWC 2025), 2025

Aligning Language Models with Investor and Market Behavior for Financial Recommendations.

Fernando Spadea, Oshani Seneviratne

Proceedings of the 6th ACM International Conference on AI in Finance, 2025

2024

Navigating the Chaos: The Sandbox Network Analysis.

Fernando Spadea, Oshani Seneviratne

Proceedings of the Companion Publication of the 16th ACM Web Science Conference, 2024

Support and Scandals in GameFi dApps: A Network Analysis of The Sandbox Transactions.

Fernando Spadea, Oshani Seneviratne

Proceedings of the IEEE International Conference on Decentralized Applications and Infrastructures, 2024

2023

Assessing Scientific Contributions in Data Sharing Spaces.

Kacy Adams, Fernando Spadea, Conor Flynn, Oshani Seneviratne

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023