Publications

143 entries « 1 of 3 »

2021

Cossu, Andrea; Bacciu, Davide; Carta, Antonio; Gallicchio, Claudio; Lomonaco, Vincenzo

Continual Learning with Echo State Networks Conference Forthcoming

Proceedings of the 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2021) , Forthcoming.

BibTeX | Tags: Continual learning, Echo state networks, recurrent neural network, Sequential data

Bacciu, Davide; Bianchi, Filippo Maria; Paassen, Benjamin; Alippi, Cesare

Deep learning for graphs Conference Forthcoming

Proceedings of the 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2021), Forthcoming.

BibTeX | Tags: deep learning, deep learning for graphs, graph data, structured data processing

Dukic, Haris; Deligiorgis, Georgios; Sepe, Pierpaolo; Bacciu, Davide; Trincavelli, Marco

Inductive learning for product assortment graph completion Conference Forthcoming

Proceedings of the 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2021), Forthcoming.

BibTeX | Tags: deep learning for graphs, graph data, recommendation systems

Valenti, Andrea; Berti, Stefano; Bacciu, Davide

Calliope - A Polyphonic Music Transformer Conference Forthcoming

Proceedings of the 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2021), Forthcoming.

BibTeX | Tags: artificial creativity, autoencoder, deep learning, generative model, music generation, transformer

Bacciu, Davide; Conte, Alessio; Grossi, Roberto; Landolfi, Francesco; Marino, Andrea

K-Plex Cover Pooling for Graph Neural Networks Journal Article

Data Mining and Knowledge Discovery, 2021, (Accepted also as paper to the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2021)).

Abstract | Links | BibTeX | Tags: deep learning, deep learning for graphs, graph data, graph pooling, structured data processing

Macher, G; Akarmazyan, S; Armengaud, E; Bacciu, D; Calandra, C; Danzinger, H; Dazzi, P; Davalas, C; Gennaro, De M C; Dimitriou, A; Dobaj, J; Dzambic, M; Giraudi, L; Girbal, S; Michail, D; Peroglio, R; Potenza, R; Pourdanesh, F; Seidl, M; Sardianos, C; Tserpes, K; Valtl, J; Varlamis, I; Veledar, O

Dependable Integration Concepts for Human-Centric AI-based Systems Workshop

Proceedings of the 40th International Conference on Computer Safety, Reliability and Security (SafeComp 2021), 2021, (Invited discussion paper).

BibTeX | Tags: dependable AI, humanistic intelligence, trustworthy AI

Macher, Georg; Armengaud, Eric; Bacciu, Davide; Dobaj, Jürgen; Dzambic, Maid; Seidl, Matthias; Veledar, Omar

Dependable Integration Concepts for Human-Centric AI-based Systems Workshop

Proceedings of the 16th International Workshop on Dependable Smart Embedded Cyber-Physical Systems and Systems-of-Systems (DECSoS 2021), 2021.

Abstract | BibTeX | Tags: dependable AI, humanistic intelligence, trustworthy AI

Resta, Michele; Monreale, Anna; Bacciu, Davide

Occlusion-based Explanations in Deep Recurrent Models for Biomedical Signals Journal Article Forthcoming

Entropy, Forthcoming, (Special issue on Representation Learning).

Abstract | BibTeX | Tags: biomedical data, explainable AI, recurrent neural network, Sequential data

Cossu, Andrea; Carta, Antonio; Lomonaco, Vincenzo; Bacciu, Davide

Continual Learning for Recurrent Neural Networks: an Empirical Evaluation Journal Article Forthcoming

Neural Networks, Forthcoming.

Abstract | Links | BibTeX | Tags: Continual learning, deep learning, recurrent neural network, Sequential data

Bacciu, Davide; Akarmazyan, Siranush; Armengaud, Eric; Bacco, Manlio; Bravos, George; Calandra, Calogero; Carlini, Emanuele; Carta, Antonio; Cassara, Pietro; Coppola, Massimo; Davalas, Charalampos; Dazzi, Patrizio; Degennaro, Maria Carmela; Sarli, Daniele Di; Dobaj, Jürgen; Gallicchio, Claudio; Girbal, Sylvain; Gotta, Alberto; Groppo, Riccardo; Lomonaco, Vincenzo; Macher, Georg; Mazzei, Daniele; Mencagli, Gabriele; Michail, Dimitrios; Micheli, Alessio; Peroglio, Roberta; Petroni, Salvatore; Potenza, Rosaria; Pourdanesh, Farank; Sardianos, Christos; Tserpes, Konstantinos; Tagliabò, Fulvio; Valtl, Jakob; Varlamis, Iraklis; Veledar, Omar (Ed.)

TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence Conference Forthcoming

Proceedings of the 2021 IEEE International Conference on Omni-Layer Intelligent Systems (COINS) , Forthcoming.

BibTeX | Tags: artificial intelligence, Continual learning, federated learning, humanistic intelligence, reservoir computing, trustworthy AI

Andrea Rosasco Antonio Carta, Andrea Cossu Vincenzo Lomonaco Davide Bacciu

Distilled Replay: Overcoming Forgetting through Synthetic Samples Workshop Forthcoming

IJCAI 2021 workshop on continual semi-supervised learning (CSSL 2021) , Forthcoming.

Links | BibTeX | Tags: Continual learning, dataset distillation, deep learning

Atzeni, Daniele; Bacciu, Davide; Errica, Federico; Micheli, Alessio

Modeling Edge Features with Deep Bayesian Graph Networks Conference Forthcoming

Proceedings of the International Joint Conference on Neural Networks (IJCNN 2021), IEEE Forthcoming.

BibTeX | Tags: deep learning for graphs, generative model, hidden Markov models, structured data processing

Numeroso, Danilo; Bacciu, Davide

MEG: Generating Molecular Counterfactual Explanations for Deep Graph Networks Conference Forthcoming

Proceedings of the International Joint Conference on Neural Networks (IJCNN 2021), IEEE Forthcoming.

BibTeX | Tags: deep learning for graphs, explainable AI, graph data, structured data processing

Bacciu, Davide; Sarli, Daniele Di; Faraji, Pouria; Gallicchio, Claudio; Micheli, Alessio

Federated Reservoir Computing Neural Networks Conference Forthcoming

Proceedings of the International Joint Conference on Neural Networks (IJCNN 2021), IEEE, Forthcoming.

BibTeX | Tags: activity recognition, distributed learning, Echo state networks, federated learning, internet of things, pervasive computing, randomized networks, reservoir computing, Sequential data

Bacciu, Davide; Podda, Marco

GraphGen-Redux: a Fast and Lightweight Recurrent Model for Labeled Graph Generation Conference Forthcoming

Proceedings of the International Joint Conference on Neural Networks (IJCNN 2021), IEEE Forthcoming.

BibTeX | Tags: deep learning, deep learning for graphs, generative model, graph data

Errica, Federico; Bacciu, Davide; Micheli, Alessio

Graph Mixture Density Networks Conference Forthcoming

Proceedings of the 38th International Conference on Machine Learning (ICML 2021), Forthcoming.

BibTeX | Tags: deep learning for graphs, generative model, graph data, structured data processing

Lomonaco, Vincenzo; Pellegrini, Lorenzo; Cossu, Andrea; Carta, Antonio; Graffieti, Gabriele; Hayes, Tyler L; Lange, Matthias De; Masana, Marc; Pomponi, Jary; van de Ven, Gido; Mundt, Martin; She, Qi; Cooper, Keiland; Forest, Jeremy; Belouadah, Eden; Calderara, Simone; Parisi, German I; Cuzzolin, Fabio; Tolias, Andreas; Scardapane, Simone; Antiga, Luca; Amhad, Subutai; Popescu, Adrian; Kanan, Christopher; van de Weijer, Joost; Tuytelaars, Tinne; Bacciu, Davide; Maltoni, Davide

Avalanche: an End-to-End Library for Continual Learning Workshop Forthcoming

Proceedings of the CVPR 2021 Workshop on Continual Learning , Forthcoming.

Links | BibTeX | Tags: Continual learning, deep learning, software

Sattar, Asma; Bacciu, Davide

Context-aware Graph Convolutional Autoencoder Conference Forthcoming

Proceedings of the 16th International Work Conference on Artificial Neural Networks (IWANN 2021), Forthcoming.

BibTeX | Tags: deep learning for graphs, graph data, recommendation systems

Bacciu, Davide; Sarli, Daniele Di; Gallicchio, Claudio; Micheli, Alessio; Puccinelli, Niccolo

Benchmarking Reservoir and Recurrent Neural Networks for Human State and Activity Recognition Conference Forthcoming

Proceedings of the 16th International Work Conference on Artificial Neural Networks (IWANN 2021), Forthcoming.

BibTeX | Tags: activity recognition, Echo state networks, recurrent neural network, reservoir computing

Castellana, Daniele; Bacciu, Davide

A Tensor Framework for Learning in Structured Domains Journal Article Forthcoming

Neurocomputing, Forthcoming.

BibTeX | Tags: deep learning, structured data processing, tensor factorization, tensor neural networks, tree structured data

Carta, Antonio; Sperduti, Alessandro; Bacciu, Davide

Encoding-based Memory for Recurrent Neural Networks Journal Article

Neurocomputing, 2021.

Abstract | Links | BibTeX | Tags: autoencoder, deep learning, memory networks, recurrent neural network, Sequential data

Carta, Antonio; Cossu, Andrea; Errica, Federico; Bacciu, Davide

Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification Workshop

The Web Conference 2021 Workshop on Graph Learning Benchmarks (GLB21), 2021.

Abstract | BibTeX | Tags: Continual learning, deep learning for graphs, structured data processing

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

A deep graph network-enhanced sampling approach to efficiently explore the space of reduced representations of proteins Journal Article

Frontiers in Molecular Biosciences, 8 , pp. 136, 2021.

Links | BibTeX | Tags: deep learning, deep learning for graphs, graph data, structured data processing

Bontempi, Gianluca; Chavarriaga, Ricardo; Canck, Hans De; Girardi, Emanuela; Hoos, Holger; Kilbane-Dawe, Iarla; Ball, Tonio; Nowé, Ann; Sousa, Jose; Bacciu, Davide; Aldinucci, Marco; Domenico, Manlio De; Saffiotti, Alessandro; Maratea, Marco

The CLAIRE COVID-19 initiative: approach, experiences and recommendations Journal Article

Ethics and Information Technology, 2021.

Links | BibTeX | Tags: artificial intelligence, bioinformatics, biomedical data

Andrea Valenti Michele Barsotti, Davide Bacciu ; Ascari, Luca

A Deep Classifier for Upper-Limbs Motor Anticipation Tasks in an Online BCI Setting Journal Article

Bioengineering , 2021.

Links | BibTeX | Tags: autoencoder, biomedical data, deep learning, Sequential data

Bacciu, Davide; Bertoncini, Gioele; Morelli, Davide

Topographic mapping for quality inspection and intelligent filtering of smart-bracelet data Journal Article

Neural Computing Applications, 2021.

Links | BibTeX | Tags: biomedical data, data visualization, explainable AI, internet of things, multivariate time-series, self-organizing map

2020

Ronchetti, Matteo; Bacciu, Davide

Generative Tomography Reconstruction Workshop

34th Conference on Neural Information Processing Systems (NeurIPS 2020), Workshop on Deep Learning and Inverse Problems, 2020.

Abstract | Links | BibTeX | Tags: adversarial learning, biomedical data, deep learning, generative model, inverse problems, machine vision

Bacciu, Davide; Conte, Alessio; Grossi, Roberto; Landolfi, Francesco; Marino, Andrea

K-plex Cover Pooling for Graph Neural Networks Workshop

34th Conference on Neural Information Processing Systems (NeurIPS 2020), Workshop on Learning Meets Combinatorial Algorithms, 2020.

Abstract | BibTeX | Tags: deep learning, deep learning for graphs, graph data, graph pooling, structured data processing

Bacciu, Davide; Numeroso, Danilo

Explaining Deep Graph Networks with Molecular Counterfactuals Workshop

34th Conference on Neural Information Processing Systems (NeurIPS 2020), Workshop on Machine Learning for Molecules - Accepted as Contributed Talk (Oral), 2020.

Abstract | Links | BibTeX | Tags: deep learning for graphs, explainable AI, graph data, structured data processing

Carta, Antonio; Sperduti, Alessandro; Bacciu, Davide

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

34th Conference on Neural Information Processing Systems (NeurIPS 2020), Workshop on Beyond BackPropagation: Novel Ideas for Training Neural Architectures, 2020.

Abstract | Links | BibTeX | Tags: deep learning, memory networks, recurrent neural network, Sequential data

Castellana, Daniele; Bacciu, Davide

Learning from Non-Binary Constituency Trees via Tensor Decomposition Conference

PROCEEDINGS OF THE 2020 INTERNATIONAL CONFERENCE ON COMPUTATIONAL LINGUISTICS (COLING 2020), 2020.

BibTeX | Tags: natural language processing, tensor factorization, tensor neural networks, tree structured data

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

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

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE, 2020.

Abstract | Links | BibTeX | Tags: autoencoder, biomedical data, deep learning, Sequential data

Bacciu, Davide; Errica, Federico; Micheli, Alessio; Podda, Marco

A Gentle Introduction to Deep Learning for Graphs Journal Article

Neural Networks, 129 , pp. 203-221, 2020.

Abstract | Links | BibTeX | Tags: deep learning, deep learning for graphs, graph data, structured data processing

Bacciu, Davide; Errica, Federico; Micheli, Alessio

Probabilistic Learning on Graphs via Contextual Architectures Journal Article

Journal of Machine Learning Research, 21 (134), pp. 1−39, 2020.

Abstract | Links | BibTeX | Tags: deep learning, deep learning for graphs, graph data, hidden tree Markov model, structured data processing

Castellana, Daniele; Bacciu, Davide

Generalising Recursive Neural Models by Tensor Decomposition Conference

Proceedings of the 2020 IEEE World Congress on Computational Intelligence, 2020.

Links | BibTeX | Tags: deep learning, structured data processing, tensor factorization, tensor neural networks, tree structured data

Cossu, Andrea; Carta, Antonio; Bacciu, Davide

Continual Learning with Gated Incremental Memories for Sequential Data Processing Conference

Proceedings of the 2020 IEEE World Congress on Computational Intelligence, 2020.

Links | BibTeX | Tags: Continual learning, deep learning, recurrent neural network, Sequential data

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

Valenti, Andrea; Carta, Antonio; Bacciu, Davide

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

Proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), 2020.

Links | BibTeX | Tags: artificial creativity, autoencoder, deep learning, generative model, music generation

Carta, Antonio; Sperduti, Alessandro; Bacciu, Davide

Incremental training of a recurrent neural network exploiting a multi-scale dynamic memory Conference

Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2020 (ECML-PKDD 2020), Springer International Publishing, 2020.

Abstract | BibTeX | Tags: autoencoder, deep learning, memory networks, recurrent neural network

A Deep Generative Model for Fragment-Based Molecule Generation

Podda, Marco; Bacciu, Davide; Micheli, Alessio

A Deep Generative Model for Fragment-Based Molecule Generation Conference

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020) , 2020.

Abstract | Links | BibTeX | Tags: deep learning for graphs, generative model, graph data, molecule generation, recurrent neural network, structured data processing

A Fair Comparison of Graph Neural Networks for Graph Classification

Errica, Federico; Podda, Marco; Bacciu, Davide; Micheli, Alessio

A Fair Comparison of Graph Neural Networks for Graph Classification Conference

Proceedings of the Eighth International Conference on Learning Representations (ICLR 2020), 2020.

Abstract | Links | BibTeX | Tags: deep learning, deep learning for graphs, graph data, structured data processing

 Biochemical Pathway Robustness Prediction with Graph Neural Networks

Podda, Marco; Micheli, Alessio; Bacciu, Davide; Milazzo, Paolo

Biochemical Pathway Robustness Prediction with Graph Neural Networks Conference

Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN'20), 2020.

BibTeX | Tags: bioinformatics, biomedical data, deep learning for graphs, structured data processing

 Theoretically Expressive and Edge-aware Graph Learning

Errica, Federico; Bacciu, Davide; Micheli, Alessio

Theoretically Expressive and Edge-aware Graph Learning Conference

Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN'20), 2020.

Abstract | Links | BibTeX | Tags: deep learning for graphs, structured data processing

 Perplexity-free Parametric t-SNE

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

Perplexity-free Parametric t-SNE Conference

Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN'20), 2020.

BibTeX | Tags: data visualization, manifold learning, neural networks, unsupervised learning

Tensor Decompositions in Deep Learning

Bacciu, Davide; Mandic, Danilo

Tensor Decompositions in Deep Learning Conference

Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN'20), 2020.

Links | BibTeX | Tags: deep learning, structured data processing, tensor factorization

 Tensor Decompositions in Recursive Neural Networks for Tree-Structured Data

Castellana, Daniele; Bacciu, Davide

Tensor Decompositions in Recursive Neural Networks for Tree-Structured Data Conference

Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN'20), 2020.

Links | BibTeX | Tags: deep learning, structured data processing, tensor factorization, tree structured data

Deep Learning for Graphs

Bacciu, Davide; Micheli, Alessio

Deep Learning for Graphs Book Chapter

Oneto, Luca; Navarin, Nicolo; Sperduti, Alessandro; Anguita, Davide (Ed.): Recent Trends in Learning From Data: Tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019), 896 , pp. 99-127, Springer International Publishing, 2020, ISBN: 978-3-030-43883-8.

Abstract | Links | BibTeX | Tags: deep learning for graphs, generative model, graph data, molecule generation, recurrent neural network, structured data processing

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

Ferrari, Elisa; Retico, Alessandra; Bacciu, Davide

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

Artificial Intelligence in Medicine, 103 , 2020.

Abstract | Links | BibTeX | Tags: artificial intelligence, bioinformatics, biomedical data, explainable AI, statistics

2019

Edge-based sequential graph generation with recurrent neural networks

Bacciu, Davide; Micheli, Alessio; Podda, Marco

Edge-based sequential graph generation with recurrent neural networks Journal Article

Neurocomputing, 2019.

Abstract | Links | BibTeX | Tags: deep learning for graphs, generative model, graph data, structured data processing

Sequential Sentence Embeddings for Semantic Similarity

Bacciu, Davide; Carta, Antonio

Sequential Sentence Embeddings for Semantic Similarity Conference

Proceedings of the 2019 IEEE Symposium Series on Computational Intelligence (SSCI'19), IEEE, 2019.

Abstract | Links | BibTeX | Tags: autoencoder, deep learning, memory networks, natural language, recurrent neural network

Reti neurali e linguaggio. Le insidie nascoste di un'algebra delle parole

Bacciu, Davide

Reti neurali e linguaggio. Le insidie nascoste di un'algebra delle parole Online

Tavosanis, Mirko (Ed.): Lingua Italiana - Treccani 2019.

Links | BibTeX | Tags: artificial intelligence, natural language processing, neural networks

143 entries « 1 of 3 »