引用次数
引用: 3,467
H-指数: 27
I10-指数 : 76
出版物: 248
Feature-wise Competitive Repetition Suppression Learning for Gene Data Clustering and Feature Ranking
Antonina Starita , Alessio Micheli , Davide Bacciu
Università di Pisa 1 -14
2007
A Bottom-up Hidden Tree Markov Model
Alessandro Sperduti , Alessio Micheli , Davide Bacciu
Università di Pisa 1 -22
1
2010
Self-sustaining Learning for Robotic Ecologies
Alessandro Saffiotti , Mathias Broxvall , Claudio Gallicchio , Mauro Dragone
international conference on sensor networks 99 -103
4
2012
Adaptive Service Selection - A Fuzzy-valued Matchmaking Approach
Lusine Mkrtchyan , Davide Bacciu , Maria Grazia Buscemi
Università di Pisa
2
2009
Simultaneous clustering and feature ranking by competitive repetition suppressionlearning with application to gene data analysis
A. Starita , Alessio Micheli , Davide Bacciu
CIMED 2007 35
1
2007
LOL: An Investigation into Cybernetic Humor, or: Can Machines Laugh?
Giuseppe Prencipe , Vincenzo Gervasi , Davide Bacciu
fun with algorithms 49 ( 1) 15
1
2016
Adopting a Machine Learning Approach in the Design of Smart Transportation Systems
Laura Semini , Stefania Gnesi , Davide Bacciu , Antonio Carta
Ercim News 2016
1
2016
Bioinformatics and Medicine in the Era of Deep Learning
Alfredo Vellido , Ruxandra Stoean , José D. Martín , Davide Bacciu
arXiv: Learning
18
2018
Model-based and model-free clustering: a case study of protein expression data for breast cancer
T. A. Etchells , J. M. Garibaldi , I. H. Jarman , Davide Bacciu
uk workshop on computational intelligence
2009
Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing
Alessio Micheli , Davide Bacciu , Federico Errica
arXiv: Learning
79
2018
Suitable Doesn't Mean Attractive. Human-Based Evaluation of Automatically Generated Headlines.
Davide Bacciu , Malvina Nissim , Lorenzo De Mattei , Michele Cafagna
CLiC-it
2
2019
A Fair Comparison of Graph Neural Networks for Graph Classification
Alessio Micheli , Davide Bacciu , Federico Errica , Marco Podda
international conference on learning representations
304
2020
Autoencoder-based Initialization for Recurrent Neural Networks with a Linear Memory
Alessandro Sperduti , Davide Bacciu , Antonio Carta
2019
2019
Societal issues in machine learning: when learning from data is not enough
Battista Biggio , Luca Oneto , Davide Bacciu , Paulo J G Lisboa
the european symposium on artificial neural networks 455 -464
1
2019
A Deep Generative Model for Fragment-Based Molecule Generation.
Alessio Micheli , Davide Bacciu , Marco Podda
international conference on artificial intelligence and statistics 2240 -2250
6
2020
Probabilistic Learning on Graphs via Contextual Architectures
Alessio Micheli , Davide Bacciu , Federico Errica
Journal of Machine Learning Research 21 ( 134) 1 -39
11
2020
Tensor Decompositions in Recursive Neural Networks for Tree-Structured Data
Davide Bacciu , Daniele Castellana
arXiv: Learning
1
2020
Learning Style-Aware Symbolic Music Representations by Adversarial Autoencoders.
Davide Bacciu , Antonio Carta , Andrea Valenti
european conference on artificial intelligence 1563 -1570
2020
FADER: Fast Adversarial Example Rejection.
Battista Biggio , Davide Bacciu , Francesco Crecchi , Angelo Sotgiu
arXiv: Learning
9
2020
Alessio Micheli Claudio Gallicchio Antonio Carta Federico Errica Stefano Chessa Marco Podda Vincenzo Lomonaco Andrea Cossu Alessandro Sperduti Alessandro Saffiotti Mauro Dragone Paulo Lisboa Claudio Vairo Claudio Gennaro Andrea Valenti Danilo Numeroso Maurizio Di Rocco Alessio Gravina Giuseppe Amato