Davide Bacciu

Dipartimento di Informatica, Università di Pisa, Italy

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Papers102 papers

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Measuring the effects of confounders in medical supervised classification problems: the Confounding Index (CI)

Elisa Ferrari,Alessandra Retico,Davide Bacciu

Artificial Intelligence in Medicine, (2020): 101804

Cited by1WOSEIBibtex

Probabilistic Learning on Graphs via Contextual Architectures

Davide Bacciu, Federico Errica,Alessio Micheli

JOURNAL OF MACHINE LEARNING RESEARCH, no. 134 (2020): 1-39

Bibtex

Graph Mixture Density Networks

Federico Errica,Davide Bacciu,Alessio Micheli

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Short-Term Memory Optimization in Recurrent Neural Networks by Autoencoder-based Initialization

Antonio Carta,Alessandro Sperduti,Davide Bacciu

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Learning from Non-Binary Constituency Trees via Tensor Decomposition

Daniele Castellana,Davide Bacciu

COLING, pp.3899-3910, (2020)

EIBibtex

FADER: Fast Adversarial Example Rejection

Francesco Crecchi,Marco Melis, Angelo Sotgiu,Davide Bacciu,Battista Biggio

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Perplexity-free Parametric t-SNE

Francesco Crecchi, Cyril de Bodt,Michel Verleysen,John A. Lee,Davide Bacciu

ESANN, pp.387-392, (2020)

EIBibtex

ROS-Neuro Integration of Deep Convolutional Autoencoders for EEG Signal Compression in Real-time BCIs

Andrea Valenti, Michele Barsotti, Raffaello Brondi,Davide Bacciu, Luca Ascari

SMC, pp.2019-2024, (2020)

EIBibtex

Accelerating the identification of informative reduced representations of proteins with deep learning for graphs

Federico Errica, Marco Giulini,Davide Bacciu, Roberto Menichetti,Alessio Micheli, Raffaello Potestio

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Incremental Training of a Recurrent Neural Network Exploiting a Multi-Scale Dynamic Memory

Antonio Carta,Alessandro Sperduti,Davide Bacciu

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Tensor Decompositions in Recursive NeuralNetworks for Tree-Structured Data

Daniele Castellana,Davide Bacciu

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Generalising Recursive Neural Models by Tensor Decomposition

Daniele Castellana,Davide Bacciu

IJCNN, pp.1-8, (2020)

EIBibtex

Learning Style-Aware Symbolic Music Representations by Adversarial Autoencoders

Andrea Valenti,Antonio Carta,Davide Bacciu

ECAI, pp.1563-1570, (2020)

EIBibtex

Continual Learning with Gated Incremental Memories for sequential data processing

Cossu Andrea,Carta Antonio,Bacciu Davide

IJCNN, pp.1-8, (2020)

EIBibtex

A Deep Generative Model for Fragment-Based Molecule Generation

Podda Marco,Bacciu Davide,Micheli Alessio

AISTATS, pp.2240-2250, (2020)

EIBibtex

Edge-based sequential graph generation with recurrent neural networks

Bacciu Davide,Micheli Alessio, Podda Marco

NEUROCOMPUTING, (2020): 177-189

Cited by2EIBibtex

Encoding-based Memory Modules for Recurrent Neural Networks

Carta Antonio,Sperduti Alessandro,Bacciu Davide

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Theoretically Expressive and Edge-aware Graph Learning

Errica Federico,Bacciu Davide,Micheli Alessio

ESANN, pp.175-180, (2020)

EIBibtex

Learning a Latent Space of Style-Aware Symbolic Music Representations by Adversarial Autoencoders

Valenti Andrea,Carta Antonio,Bacciu Davide

Bibtex

A Gentle Introduction to Deep Learning for Graphs

Bacciu Davide, Errica Federico,Micheli Alessio, Podda Marco

Neural Networks, (2020): 203-221

Cited by10EIBibtex

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Davide BacciuBinding

Papers102 papers

Davide Bacciu