Per Year
19
talks
/
2021–2026
/
Andrea Agiollo
- We Were Deep in NeSy When LLM Happened (invited, LLM4Law 2024) — Andrea Omicini
- Approximating Memorization Using Loss Surface Geometry for Dataset Pruning and Summarization (talk, KDD 2024) — Andrea Agiollo
- An Empirical Study on the Robustness of Knowledge Injection Techniques Against Data Degradation (talk, WOA 2024) — Andrea Agiollo
- Embedding AI into Constrained Devices: A Multi-Faceted Approach (phd) — Andrea Agiollo
- ML-BDI Agents: Vision and Survey (project, ENGINES Kick-off Meeting) — Andrea Agiollo
- Large Language Models as Oracles for Instantiating Ontologies with Domain-Specific Knowledge (project, ENGINES Kick-off Meeting) — Giovanni Ciatto
- Peer-Reviewed Federated Learning (talk, WOA 2023) — Andrea Omicini
- Measuring Trustworthiness in Neuro-Symbolic Integration (invited, FedCSIS 2023) — Andrea Omicini
- GNN4IFA: Interest Flooding Attack Detection With Graph Neural Networks (talk, EuroS&P 2023) — Andrea Agiollo, Enkeleda Bardhi
- The Quarrel of Local Post-hoc Explainers for Moral Values Classification in Natural Language Processing (talk, EXTRAAMAS 2023 @ AAMAS 2023) — Andrea Agiollo
- Resource-Friendly Artificial Intelligence (seminar) — Andrea Agiollo
- Towards Quality-of-Service Metrics for Symbolic Knowledge Injection (talk, WOA 2022) — Andrea Rafanelli
- GNN2GNN: Graph Neural Networks to Generate Neural Networks (poster, UAI 2022) — Andrea Agiollo
- GNN2GNN: Graph Neural Networks to Generate Neural Networks (talk, UAI 2022) — Andrea Agiollo
- Embedding Artificial Intelligence into Constrained Devices (talk, PhD 1st-year report) — Andrea Agiollo
- Graph Neural Networks as the Copula Mundi between Logic and Machine Learning: a Roadmap (talk, WOA 2021) — Andrea Agiollo
- Shallow2Deep: Restraining Neural Networks Opacity through Neural Architecture Search (talk, EXTRAAMAS 2021 @ AAMAS 2021) — Andrea Agiollo
- Graph Neural Networks - Theory & Applications (internal, Internal Seminar) — Andrea Agiollo
- Artificial Intelligence in Embedded Environments (other sort, PhD Review - The Research Hub by Electrolux Professional) — Andrea Agiollo
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