Federica Granese

22 papers A* 1A 1C 1Journal 14Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ECGtizer: An open-source, fully automated pipeline for digitization and signal recovery from paper electrocardiograms. Biomed. Signal Process. Control. Alex Lence, Ahmad Fall, Samuel David Cohen, Federica Granese, Jean-Daniel Zucker, Joe-Elie Salem, Edi Prifti
2025	—	`conf`	ECGrecover: A Deep Learning Approach for Electrocardiogram Signal Completion. KDD (1) Alex Lence, Federica Granese, Ahmad Fall, Blaise Hanczar, Joe-Elie Salem, Jean-Daniel Zucker, Edi Prifti
2025	J	`jnl`	IKrNet: A Neural Network for Detecting Specific Drug-Induced Patterns in Electrocardiograms Amidst Physiological Variability. CoRR Ahmad Fall, Federica Granese, Alex Lence, Dominique Fourer, Blaise Hanczar, Joe-Elie Salem, Jean-Daniel Zucker, Edi Prifti
2025	—	`conf`	Merging Embedded Topics with Optimal Transport for Online Topic Modeling on Data Streams. ECML/PKDD (7) Federica Granese, Benjamin Navet, Serena Villata, Charles Bouveyron
2025	J	`jnl`	Merging Embedded Topics with Optimal Transport for Online Topic Modeling on Data Streams. CoRR Federica Granese, Benjamin Navet, Serena Villata, Charles Bouveyron
2025	J	`jnl`	On Estimating the Strength of Differentially Private Mechanisms in a Black-Box Setting. IEEE Trans. Dependable Secur. Comput. Daniele Gorla, Louis Jalouzot, Federica Granese, Catuscia Palamidessi, Pablo Piantanida
2025	J	`jnl`	Stick-Breaking Embedded Topic Model with Continuous Optimal Transport for Online Analysis of Document Streams. CoRR Federica Granese, Serena Villata, Charles Bouveyron
2024	J	`jnl`	ECGrecover: a Deep Learning Approach for Electrocardiogram Signal Completion. CoRR Alex Lence, Ahmad Fall, Federica Granese, Blaise Hanczar, Joe-Elie Salem, Jean-Daniel Zucker, Edi Prifti
2024	J	`jnl`	ECGtizer: a fully automated digitizing and signal recovery pipeline for electrocardiograms. CoRR Alex Lence, Ahmad Fall, Samuel David Cohen, Federica Granese, Jean-Daniel Zucker, Joe-Elie Salem, Edi Prifti
2024	A	`conf`	Optimal Zero-Shot Detector for Multi-Armed Attacks. AISTATS Federica Granese, Marco Romanelli, Pablo Piantanida
2024	J	`jnl`	Optimal Zero-Shot Detector for Multi-Armed Attacks. CoRR Federica Granese, Marco Romanelli, Pablo Piantanida
2023	J	`jnl`	A Halfspace-Mass Depth-Based Method for Adversarial Attack Detection. Trans. Mach. Learn. Res. Marine Picot, Federica Granese, Guillaume Staerman, Marco Romanelli, Francisco Messina, Pablo Piantanida, Pierre Colombo
2023	J	`jnl`	A Minimax Approach Against Multi-Armed Adversarial Attacks Detection. CoRR Federica Granese, Marco Romanelli, Siddharth Garg, Pablo Piantanida
2023	—	`conf`	On the (Im)Possibility of Estimating Various Notions of Differential Privacy (short paper). ICTCS Daniele Gorla, Louis Jalouzot, Federica Granese, Catuscia Palamidessi, Pablo Piantanida
2023	—	`—`	Towards Securing Machine Learning Algorithms through Misclassification Detection and Adversarial Attack Detection. (Vers la Sécurisation des Algorithmes d'Apprentissage Automatique par Misclassification Detection et Adversarial Attack Detection). Federica Granese
2022	—	`conf`	MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors. ECML/PKDD (3) Federica Granese, Marine Picot, Marco Romanelli, Francesco Messina, Pablo Piantanida
2022	J	`jnl`	MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors. CoRR Federica Granese, Marine Picot, Marco Romanelli, Francisco Messina, Pablo Piantanida
2022	J	`jnl`	On the (Im)Possibility of Estimating Various Notions of Differential Privacy. CoRR Daniele Gorla, Louis Jalouzot, Federica Granese, Catuscia Palamidessi, Pablo Piantanida
2021	A*	`conf`	DOCTOR: A Simple Method for Detecting Misclassification Errors. NeurIPS Federica Granese, Marco Romanelli, Daniele Gorla, Catuscia Palamidessi, Pablo Piantanida
2021	J	`jnl`	DOCTOR: A Simple Method for Detecting Misclassification Errors. CoRR Federica Granese, Marco Romanelli, Daniele Gorla, Catuscia Palamidessi, Pablo Piantanida
2021	J	`jnl`	Enhanced models for privacy and utility in continuous-time diffusion networks. Int. J. Inf. Sec. Federica Granese, Daniele Gorla, Catuscia Palamidessi
2019	C	`conf`	Enhanced Models for Privacy and Utility in Continuous-Time Diffusion Networks. ICTAC Daniele Gorla, Federica Granese, Catuscia Palamidessi