STILO, GIOVANNI
STILO, GIOVANNI
Dipartimento di Ingegneria e scienze dell'informazione e matematica
GRETEL 2.0: Generation and Evaluation of Graph Counterfactual Explanations Evolved
2024-01-01 Prado-Romero, M. A.; Prenkaj, B.; Stilo, G.
Towards a Prediction of Machine Learning Training Time to Support Continuous Learning Systems Development
2024-01-01 Marzi, F.; D'Aloisio, G.; Di Marco, A.; Stilo, G.
Data-Driven Analysis of Gender Fairness in the Software Engineering Academic Landscape
2024-01-01 D'Aloisio, G.; D'Angelo, A.; Marzi, F.; Di Marco, D.; Stilo, G.; Di Marco, A.
Uncovering gender gap in academia: A comprehensive analysis within the software engineering community
2024-01-01 D'Angelo, Andrea; D'Aloisio, G.; Marzi, F.; DI MARCO, Antinisca; Stilo, G.
VAMP: Visual Analytics for Microservices Performance
2024-01-01 Traini, L.; Leone, J.; Stilo, G.; DI MARCO, Antinisca
Robust Stochastic Graph Generator for Counterfactual Explanations
2024-01-01 Prado-Romero, M. A.; Prenkaj, B.; Stilo, G.
Trustworthy Machine Learning Predictions to Support Clinical Research and Decisions
2023-01-01 Bianchi, A.; Di Marco, A.; Marzi, F.; Stilo, G.; Pellegrini, C.; Masi, S.; Mengozzi, A.; Virdis, A.; Nobile, M. S.; Simeoni, M.
Developing and Evaluating Graph Counterfactual Explanation with GRETEL
2023-01-01 Prado-Romero, M. A.; Prenkaj, B.; Stilo, G.
Debiaser for Multiple Variables to enhance fairness in classification tasks
2023-01-01 D'Aloisio, G.; D'Angelo, A.; Di Marco, A.; Stilo, G.
Democratizing Quality-Based Machine Learning Development through Extended Feature Models
2023-01-01 D'Aloisio, G.; Di Marco, A.; Stilo, G.
Deep Graph Networks for Drug Repurposing with Multi-Protein Targets
2023-01-01 Bacciu, D.; Errica, F.; Gravina, A.; Madeddu, L.; Podda, M.; Stilo, G.
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges
2023-01-01 Prado-Romero, M. A.; Prenkaj, B.; Stilo, G.; Giannotti, F.
An empirical study of privacy labels on the Apple iOS mobile app store
2022-01-01 Scoccia, GIAN LUCA; Autili, Marco; Stilo, Giovanni; Inverardi, Paola
A Manifesto for Applied Data Science - Reasoning from a Business Perspective
2022-01-01 Christiansen, B.; Neuhaus, U.; Schulz, M.; Hargreaves, A.; Di Marco, A.; Proietti, G.; Rossi, F.; Stilo, G.; Haney, M. H.; Duncan, A.; Tessera, D.; Todt, T.; Brandenberg, A.; Feubli, P.
DIORAMA: Digital twIn fOR sustAinable territorial MAnagement
2022-01-01 Bianchi, A.; D'Aloisio, G.; D'Angelo, A.; Di Marco, A.; Di Matteo, A.; Leone, J.; Scoccia, G.; Stilo, G.; Traini, L.
GRETEL: Graph Counterfactual Explanation Evaluation Framework
2022-01-01 Prado-Romero, M. A.; Stilo, G.
Ensemble approaches for Graph Counterfactual Explanations
2022-01-01 Prado-Romero, M. A.; Prenkaj, B.; Stilo, G.; Celi, A.; Estevanell-Valladares, E.; Valdes-Perez, D. A.
Deep Learning Methods for Network Biology
2022-01-01 Madeddu, L.; Stilo, G.
Enhancing Fairness in Classification Tasks with Multiple Variables: A Data- and Model-Agnostic Approach
2022-01-01 D'Aloisio, G.; Stilo, G.; Di Marco, A.; D'Angelo, A.
Network Connectivity Under a Probabilistic Node Failure Model
2022-01-01 Cavallaro, L.; Costantini, S.; De Meo, P.; Liotta, A.; Stilo, G.
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
GRETEL 2.0: Generation and Evaluation of Graph Counterfactual Explanations Evolved | 1-gen-2024 | Prado-Romero, M. A.; Prenkaj, B.; Stilo, G. | |
Towards a Prediction of Machine Learning Training Time to Support Continuous Learning Systems Development | 1-gen-2024 | Marzi, F.; D'Aloisio, G.; Di Marco, A.; Stilo, G. | |
Data-Driven Analysis of Gender Fairness in the Software Engineering Academic Landscape | 1-gen-2024 | D'Aloisio, G.; D'Angelo, A.; Marzi, F.; Di Marco, D.; Stilo, G.; Di Marco, A. | |
Uncovering gender gap in academia: A comprehensive analysis within the software engineering community | 1-gen-2024 | D'Angelo, Andrea; D'Aloisio, G.; Marzi, F.; DI MARCO, Antinisca; Stilo, G. | |
VAMP: Visual Analytics for Microservices Performance | 1-gen-2024 | Traini, L.; Leone, J.; Stilo, G.; DI MARCO, Antinisca | |
Robust Stochastic Graph Generator for Counterfactual Explanations | 1-gen-2024 | Prado-Romero, M. A.; Prenkaj, B.; Stilo, G. | |
Trustworthy Machine Learning Predictions to Support Clinical Research and Decisions | 1-gen-2023 | Bianchi, A.; Di Marco, A.; Marzi, F.; Stilo, G.; Pellegrini, C.; Masi, S.; Mengozzi, A.; Virdis, A.; Nobile, M. S.; Simeoni, M. | |
Developing and Evaluating Graph Counterfactual Explanation with GRETEL | 1-gen-2023 | Prado-Romero, M. A.; Prenkaj, B.; Stilo, G. | |
Debiaser for Multiple Variables to enhance fairness in classification tasks | 1-gen-2023 | D'Aloisio, G.; D'Angelo, A.; Di Marco, A.; Stilo, G. | |
Democratizing Quality-Based Machine Learning Development through Extended Feature Models | 1-gen-2023 | D'Aloisio, G.; Di Marco, A.; Stilo, G. | |
Deep Graph Networks for Drug Repurposing with Multi-Protein Targets | 1-gen-2023 | Bacciu, D.; Errica, F.; Gravina, A.; Madeddu, L.; Podda, M.; Stilo, G. | |
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges | 1-gen-2023 | Prado-Romero, M. A.; Prenkaj, B.; Stilo, G.; Giannotti, F. | |
An empirical study of privacy labels on the Apple iOS mobile app store | 1-gen-2022 | Scoccia, GIAN LUCA; Autili, Marco; Stilo, Giovanni; Inverardi, Paola | |
A Manifesto for Applied Data Science - Reasoning from a Business Perspective | 1-gen-2022 | Christiansen, B.; Neuhaus, U.; Schulz, M.; Hargreaves, A.; Di Marco, A.; Proietti, G.; Rossi, F.; Stilo, G.; Haney, M. H.; Duncan, A.; Tessera, D.; Todt, T.; Brandenberg, A.; Feubli, P. | |
DIORAMA: Digital twIn fOR sustAinable territorial MAnagement | 1-gen-2022 | Bianchi, A.; D'Aloisio, G.; D'Angelo, A.; Di Marco, A.; Di Matteo, A.; Leone, J.; Scoccia, G.; Stilo, G.; Traini, L. | |
GRETEL: Graph Counterfactual Explanation Evaluation Framework | 1-gen-2022 | Prado-Romero, M. A.; Stilo, G. | |
Ensemble approaches for Graph Counterfactual Explanations | 1-gen-2022 | Prado-Romero, M. A.; Prenkaj, B.; Stilo, G.; Celi, A.; Estevanell-Valladares, E.; Valdes-Perez, D. A. | |
Deep Learning Methods for Network Biology | 1-gen-2022 | Madeddu, L.; Stilo, G. | |
Enhancing Fairness in Classification Tasks with Multiple Variables: A Data- and Model-Agnostic Approach | 1-gen-2022 | D'Aloisio, G.; Stilo, G.; Di Marco, A.; D'Angelo, A. | |
Network Connectivity Under a Probabilistic Node Failure Model | 1-gen-2022 | Cavallaro, L.; Costantini, S.; De Meo, P.; Liotta, A.; Stilo, G. |