Simone Piaggesi

15 papers A* 1Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Disentangled and Self-Explainable Node Representation Learning.
Trans. Mach. Learn. Res.
Simone Piaggesi, André Panisson, Megha Khosla
2025 J jnl
Explanations Go Linear: Interpretable and Individual Latent Encoding for Post-hoc Explainability.
CoRR
Simone Piaggesi, Riccardo Guidotti, Fosca Giannotti, Dino Pedreschi
2025 A* conf
Explanations Go Linear: Post-Hoc Explainability for Tabular Data with Interpretable Meta-Encoding.
ICDM
Simone Piaggesi, Riccardo Guidotti, Fosca Giannotti, Dino Pedreschi
2024 J jnl
Counterfactual and Prototypical Explanations for Tabular Data via Interpretable Latent Space.
IEEE Access
Simone Piaggesi, Francesco Bodria, Riccardo Guidotti, Fosca Giannotti, Dino Pedreschi
2024 J jnl
DINE: Dimensional Interpretability of Node Embeddings.
IEEE Trans. Knowl. Data Eng.
Simone Piaggesi, Megha Khosla, André Panisson, Avishek Anand
2024 J jnl
Disentangled and Self-Explainable Node Representation Learning.
CoRR
Simone Piaggesi, André Panisson, Megha Khosla
2023 J jnl
DINE: Dimensional Interpretability of Node Embeddings.
CoRR
Simone Piaggesi, Megha Khosla, André Panisson, Avishek Anand
2022 — conf
Effective Higher-Order Link Prediction and Reconstruction From Simplicial Complex Embeddings.
LoG
Simone Piaggesi, André Panisson, Giovanni Petri
2022 J jnl
Mapping urban socioeconomic inequalities in developing countries through Facebook advertising data.
Frontiers Big Data
Simone Piaggesi, Serena Giurgola, Márton Karsai, Yelena Mejova, André Panisson, Michele Tizzoni
2022 J jnl
Time-varying graph representation learning via higher-order skip-gram with negative sampling.
EPJ Data Sci.
Simone Piaggesi, André Panisson
2021 J jnl
Mapping urban socioeconomic inequalities in developing countries through Facebook advertising data.
CoRR
Serena Giurgola, Simone Piaggesi, Márton Karsai, Yelena Mejova, André Panisson, Michele Tizzoni
2020 — conf
Explainability Methods for Natural Language Processing: Applications to Sentiment Analysis.
SEBD
Francesco Bodria, André Panisson, Alan Perotti, Simone Piaggesi
2020 J jnl
Time-varying Graph Representation Learning via Higher-Order Skip-Gram with Negative Sampling.
CoRR
Simone Piaggesi, André Panisson
2019 J jnl
Gender gaps in urban mobility.
CoRR
Laetitia Gauvin, Michele Tizzoni, Simone Piaggesi, Andrew Young, Natalia Adler, Stefaan Verhulst, Leo Ferres, Ciro Cattuto
2019 — conf
Predicting City Poverty Using Satellite Imagery.
CVPR Workshops
Simone Piaggesi, Laetitia Gauvin, Michele Tizzoni, Ciro Cattuto, Natalia Adler, Stefaan Verhulst, Andrew Young, Rhiannan Price, Leo Ferres, André Panisson