Sfoglia per Autore
Computer-based automatic identification of neurons in gigavoxel-sized 3D human brain images
2015 Soda, Paolo; Acciai, Ludovica; Cordelli, Ermanno; Costantini, Irene; Sacconi, Leonardo; Pavone, Francesco Saverio; Conti, Valerio; Guerrini, Renzo; Frasconi, Paolo; Iannello, Giulio
RNAcommender: Genome-wide recommendation of RNA-protein interactions
2016 Corrado, Gianluca; Tebaldi, Toma; Costa, Fabrizio; Frasconi, Paolo; Passerini, Andrea
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2016
2016 Frasconi, Paolo; Landwehr, Niels; Manco, Giuseppe; Vreeken, Jilles
Preface
2016 Frasconi P.; Landwehr N.; Manco G.; Vreeken J.
KProbLog: An algebraic prolog for kernel programming
2016 Orsini, Francesco; Frasconi, Paolo; De Raedt, Luc
Preface
2016 Frasconi P.; Landwehr N.; Manco G.; Vreeken J.
A network architecture for multi-multi-instance learning
2017 Alessandro Tibo, Paolo Frasconi, Manfred Jaeger
kProbLog: an algebraic Prolog for machine learning
2017 Orsini, Francesco; Frasconi, Paolo; de Raedt, Luc
Optimal staining and clearing protocol for whole mouse brain vasculature imaging with light-sheet microscopy
2017 Di Giovanna, Antonino Paolo; Tibo, Alessandro; Silvestri, Ludovico; Mã¼llenbroich, Marie Caroline; Costantini, Irene; Sacconi, Leonardo; Frasconi, Paolo; Pavone, Francesco Saverio
Forward and Reverse Gradient-Based Hyperparameter Optimization
2017 Luca, Franceschi; Michele, Donini; Paolo, Frasconi; Massimiliano, Pontil
Software tools for efficient processing of high-resolution 3D images of macroscopic brain samples
2018 Mazzamuto G.; Silvestri L.; Costantini I.; Orsini F.; Roffilli M.; Frasconi P.; Sacconi L.; Pavone F.S.
Shift aggregate extract networks
2018 Orsini, Francesco*; Baracchi, Daniele; Frasconi, Paolo
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
2018 Franceschi, Luca; Frasconi, Paolo; Salzo, Saverio; Grazzi, Riccardo; Pontil, Massimiliano
Towards a full volumetric atlas of cell-specific neuronal spatial organization in the entire mouse brain
2018 Silvestri L.; Di Giovanna A.P.; Mazzamuto G.; Leergard T.; Orsini F.; Costantini I.; Bjaalie J.; Frasconi P.; Pavone F.S.
Whole-Brain Vasculature Reconstruction at the Single Capillary Level
2018 Di Giovanna, Antonino Paolo; Tibo, Alessandro; Silvestri, Ludovico; Müllenbroich, Marie Caroline; Costantini, Irene; Allegra Mascaro, Anna Letizia; Sacconi, Leonardo; Frasconi, Paolo; Pavone, Francesco Saverio
On hyperparameter optimization in learning systems
2019 Franceschi L.; Donini M.; Frasconi P.; Pontil M.
Deep learning strategies for scalable analysis of high-resolution brain imagery
2019 Mazzamuto G.; Orsini F.; Roffilli M.; Frasconi P.; Pavone F.S.; Silvestri L.
CONLON: A PSEUDO-SONG GENERATOR BASED ON A NEW PIANOROLL, WASSERSTEIN AUTOENCODERS, AND OPTIMAL INTERPOLATIONS
2020 Luca Angioloni, Tijn Borghuis, Lorenzo Brusci, Paolo Frasconi
Pattern-Based Music Generation with Wasserstein Autoencoders and PRC Descriptions
2020 Valentijn Borghuis, Luca Angioloni, Lorenzo Brusci, Paolo Frasconi
MARTHE: Scheduling the Learning Rate Via Online Hypergradients
2020 Michele Donini, Luca Franceschi, Orchid Majumder, Massimiliano Pontil, Paolo Frasconi
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
Computer-based automatic identification of neurons in gigavoxel-sized 3D human brain images | 2015 | Soda, Paolo; Acciai, Ludovica; Cordelli, Ermanno; Costantini, Irene; Sacconi, Leonardo; Pavone, Francesco Saverio; Conti, Valerio; Guerrini, Renzo; Frasconi, Paolo; Iannello, Giulio | |
RNAcommender: Genome-wide recommendation of RNA-protein interactions | 2016 | Corrado, Gianluca; Tebaldi, Toma; Costa, Fabrizio; Frasconi, Paolo; Passerini, Andrea | |
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2016 | 2016 | Frasconi, Paolo; Landwehr, Niels; Manco, Giuseppe; Vreeken, Jilles | |
Preface | 2016 | Frasconi P.; Landwehr N.; Manco G.; Vreeken J. | |
KProbLog: An algebraic prolog for kernel programming | 2016 | Orsini, Francesco; Frasconi, Paolo; De Raedt, Luc | |
Preface | 2016 | Frasconi P.; Landwehr N.; Manco G.; Vreeken J. | |
A network architecture for multi-multi-instance learning | 2017 | Alessandro Tibo, Paolo Frasconi, Manfred Jaeger | |
kProbLog: an algebraic Prolog for machine learning | 2017 | Orsini, Francesco; Frasconi, Paolo; de Raedt, Luc | |
Optimal staining and clearing protocol for whole mouse brain vasculature imaging with light-sheet microscopy | 2017 | Di Giovanna, Antonino Paolo; Tibo, Alessandro; Silvestri, Ludovico; Mã¼llenbroich, Marie Caroline; Costantini, Irene; Sacconi, Leonardo; Frasconi, Paolo; Pavone, Francesco Saverio | |
Forward and Reverse Gradient-Based Hyperparameter Optimization | 2017 | Luca, Franceschi; Michele, Donini; Paolo, Frasconi; Massimiliano, Pontil | |
Software tools for efficient processing of high-resolution 3D images of macroscopic brain samples | 2018 | Mazzamuto G.; Silvestri L.; Costantini I.; Orsini F.; Roffilli M.; Frasconi P.; Sacconi L.; Pavone F.S. | |
Shift aggregate extract networks | 2018 | Orsini, Francesco*; Baracchi, Daniele; Frasconi, Paolo | |
Bilevel Programming for Hyperparameter Optimization and Meta-Learning | 2018 | Franceschi, Luca; Frasconi, Paolo; Salzo, Saverio; Grazzi, Riccardo; Pontil, Massimiliano | |
Towards a full volumetric atlas of cell-specific neuronal spatial organization in the entire mouse brain | 2018 | Silvestri L.; Di Giovanna A.P.; Mazzamuto G.; Leergard T.; Orsini F.; Costantini I.; Bjaalie J.; Frasconi P.; Pavone F.S. | |
Whole-Brain Vasculature Reconstruction at the Single Capillary Level | 2018 | Di Giovanna, Antonino Paolo; Tibo, Alessandro; Silvestri, Ludovico; Müllenbroich, Marie Caroline; Costantini, Irene; Allegra Mascaro, Anna Letizia; Sacconi, Leonardo; Frasconi, Paolo; Pavone, Francesco Saverio | |
On hyperparameter optimization in learning systems | 2019 | Franceschi L.; Donini M.; Frasconi P.; Pontil M. | |
Deep learning strategies for scalable analysis of high-resolution brain imagery | 2019 | Mazzamuto G.; Orsini F.; Roffilli M.; Frasconi P.; Pavone F.S.; Silvestri L. | |
CONLON: A PSEUDO-SONG GENERATOR BASED ON A NEW PIANOROLL, WASSERSTEIN AUTOENCODERS, AND OPTIMAL INTERPOLATIONS | 2020 | Luca Angioloni, Tijn Borghuis, Lorenzo Brusci, Paolo Frasconi | |
Pattern-Based Music Generation with Wasserstein Autoencoders and PRC Descriptions | 2020 | Valentijn Borghuis, Luca Angioloni, Lorenzo Brusci, Paolo Frasconi | |
MARTHE: Scheduling the Learning Rate Via Online Hypergradients | 2020 | Michele Donini, Luca Franceschi, Orchid Majumder, Massimiliano Pontil, Paolo Frasconi |
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