Publications

174 entries « 1 of 4 »

2022

Caro, Valerio De; Gallicchio, Claudio; Bacciu, Davide

Federated Adaptation of Reservoirs via Intrinsic Plasticity Conference Forthcoming

Proceedings of the 30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2022), Forthcoming.

Abstract | Links | BibTeX | Tags: Echo state networks, federated learning, intrinsic plasticity, recurrent neural network, unsupervised learning

Bacciu, Davide; Errica, Federico; Navarin, Nicolò; Pasa, Luca; Zambon, Daniele

Deep Learning for Graphs Conference Forthcoming

Proceedings of the 30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2022), Forthcoming.

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

Valenti, Andrea; Bacciu, Davide

Modular Representations for Weak Disentanglement Conference Forthcoming

Proceedings of the 30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2022), Forthcoming.

Abstract | BibTeX | Tags: disentanglement, learning-symbolic integration, representation learning

Massidda, Riccardo; Bacciu, Davide

Knowledge-Driven Interpretation of Convolutional Neural Networks Conference

Proceedings of the 2022 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2022), 2022.

Abstract | BibTeX | Tags: explainable AI, graph data, neural network interpretation, representation learning

Lagani, Gabriele; Bacciu, Davide; Gallicchio, Claudio; Falchi, Fabrizio; Gennaro, Claudio; Amato, Giuseppe

Deep Features for CBIR with Scarce Data using Hebbian Learning Conference

Proc. of the 19th International Conference on Content-based Multimedia Indexing (CBMI2022), 2022.

Abstract | Links | BibTeX | Tags:

Corti, Francesco; Entezari, Rahim; Hooker, Sara; Bacciu, Davide; Saukh, Olga

Studying the impact of magnitude pruning on contrastive learning methods Workshop

ICML 2022 workshop on Hardware Aware Efficient Training (HAET 2022), 2022.

Abstract | BibTeX | Tags: efficient learning models, embedded learning, pervasive artificial intelligence, pervasive computing

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

Sample Condensation in Online Continual Learning Conference

Proceedings of the 2022 IEEE World Congress on Computational Intelligence, IEEE, 2022.

Abstract | Links | BibTeX | Tags: Continual learning, generative model

Valenti, Andrea; Bacciu, Davide

Leveraging Relational Information for Learning Weakly Disentangled Representations Conference

Proceedings of the 2022 IEEE World Congress on Computational Intelligence, IEEE, 2022.

Abstract | Links | BibTeX | Tags: adversarial learning, autoencoder, generative model, learning-symbolic integration

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

The Infinite Contextual Graph Markov Model Conference

Proceedings of the 39th International Conference on Machine Learning (ICML 2022), 2022.

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

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

Inductive-Transductive Learning for Very Sparse Fashion Graphs Journal Article

In: Neurocomputing, 2022, ISSN: 0925-2312.

Abstract | Links | BibTeX | Tags: deep graph networks, deep learning for graphs, fashion data, learning with structured data, recommendation systems

Sattar, Asma; Bacciu, Davide

Graph Neural Network for Context-Aware Recommendation Journal Article

In: Neural Processing Letters, 2022.

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

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

Ex-Model: Continual Learning from a Stream of Trained Models Conference

Proceedings of the CVPR 2022 Workshop on Continual Learning , IEEE 2022.

Abstract | Links | BibTeX | Tags: Continual learning, deep learning, trustworthy AI

Serramazza, Davide Italo; Bacciu, Davide

Learning image captioning as a structured transduction task Conference

Proceedings of the 23rd International Conference on Engineering Applications of Neural Networks (EANN 2022), 1600 , Communications in Computer and Information Science Springer, 2022.

Abstract | Links | BibTeX | Tags: generative model, image captioning, structured data processing, tree structured data, tree transductions

Lucchesi, Nicolò; Carta, Antonio; Lomonaco, Vincenzo; Bacciu, Davide

Avalanche RL: a Continual Reinforcement Learning Library Conference

Proceedings of the 21st International Conference on Image Analysis and Processing (ICIAP 2021), 2022.

Abstract | Links | BibTeX | Tags: Continual learning, reinforcement learning

Ferrari, Elisa; Gargani, Luna; Barbieri, Greta; Ghiadoni, Lorenzo; Faita, Francesco; Bacciu, Davide

A causal learning framework for the analysis and interpretation of COVID-19 clinical data Journal Article

In: Plos One, 17 (5), 2022.

Abstract | Links | BibTeX | Tags: Bayesian networks, bioinformatics, biomedical data, explainable AI, unsupervised learning

Bacciu, Davide; Morelli, Davide; Pandelea, Vlad

Modeling Mood Polarity and Declaration Occurrence by Neural Temporal Point Processes Journal Article

In: IEEE Transactions on Neural Networks and Learning Systems, pp. 1-8, 2022.

Links | BibTeX | Tags: biomedical data, multivariate time-series, neural point process, recurrent neural network

Numeroso, Danilo; Bacciu, Davide; Veličković, Petar

Learning heuristics for A* Workshop

ICRL 2022 Workshop on Anchoring Machine Learning in Classical Algorithmic Theory (GroundedML 2022), 2022.

Abstract | BibTeX | Tags: algorithmic reasoning, deep learning for graphs, learning-symbolic integration

Bacciu, Davide; Numeroso, Danilo

Explaining Deep Graph Networks via Input Perturbation Journal Article

In: IEEE Transactions on Neural Networks and Learning Systems, 2022.

Abstract | Links | BibTeX | Tags: adversarial examples, deep learning for graphs, explainable AI, generative model, structured data processing, trustworthy AI

Collodi, Lorenzo; Bacciu, Davide; Bianchi, Matteo; Averta, Giuseppe

Learning with few examples the semantic description of novel human-inspired grasp strategies from RGB data Journal Article

In: IEEE Robotics and Automation Letters, pp. 2573 - 2580, 2022.

Abstract | Links | BibTeX | Tags: deep learning for graphs, graph data, learning-symbolic integration, robotics

Gravina, Alessio; Wilson, Jennifer L.; Bacciu, Davide; Grimes, Kevin J.; Priami, Corrado

Controlling astrocyte-mediated synaptic pruning signals for schizophrenia drug repurposing with Deep Graph Networks Journal Article

In: Plos Computational Biology, 18 (5), 2022.

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

Caro, Valerio De; Bano, Saira; Machumilane, Achilles; Gotta, Alberto; Cassará, Pietro; Carta, Antonio; Sardianos, Christos; Chronis, Christos; Varlamis, Iraklis; Tserpes, Konstantinos; Lomonaco, Vincenzo; Gallicchio, Claudio; Bacciu, Davide

AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving Conference

Proceedings of the 20th International Conference on Pervasive Computing and Communications (PerCom 2022), 2022.

Links | BibTeX | Tags: activity recognition, AI-as-a-service, deep learning, humanistic intelligence, machine vision, Sequential data

Bacciu, Davide; Lisboa, Paulo J. G.; Vellido, Alfredo

Deep Learning in Biology and Medicine Book

World Scientific Publisher, 2022, ISBN: 978-1-80061-093-4.

Abstract | Links | BibTeX | Tags: artificial intelligence, bioinformatics, biomedical data, deep learning

Castellana, Daniele; Bacciu, Davide

A Tensor Framework for Learning in Structured Domains Journal Article

In: Neurocomputing, 470 , pp. 405-426, 2022.

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

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

Catastrophic Forgetting in Deep Graph Networks: a Graph Classification benchmark Journal Article

In: Frontiers in Artificial Intelligence , 2022.

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

Cossu, Andrea; Graffieti, Gabriele; Pellegrini, Lorenzo; Maltoni, Davide; Bacciu, Davide; Carta, Antonio; Lomonaco, Vincenzo

Is Class-Incremental Enough for Continual Learning? Journal Article

In: Frontiers in Artificial Intelligence, 5 , 2022, ISSN: 2624-8212.

Abstract | Links | BibTeX | Tags:

Atzeni, Daniele; Bacciu, Davide; Mazzei, Daniele; Prencipe, Giuseppe

A Systematic Review of Wi-Fi and Machine Learning Integration with Topic Modeling Techniques Journal Article

In: Sensors, 22 (13), 2022, ISSN: 1424-8220.

Abstract | Links | BibTeX | Tags: indoor user movement forecasting, pervasive computing, wireless sensor networks

2021

Lanciano, Giacomo; Galli, Filippo; Cucinotta, Tommaso; Bacciu, Davide; Passarella, Andrea

Predictive Auto-scaling with OpenStack Monasca Conference

Proceedings of the 14th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2021), 2021.

Abstract | Links | BibTeX | Tags: cloud computing, pervasive computing, recurrent neural network, Sequential data

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

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

In: Neural Networks, 143 , pp. 607-627, 2021.

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

Bacciu, Davide; Carta, Antonio; Sarli, Daniele Di; Gallicchio, Claudio; Lomonaco, Vincenzo; Petroni, Salvatore

Towards Functional Safety Compliance of Recurrent Neural Networks Conference

Proceedings of the International Conference on AI for People (CAIP 2021), 2021.

Abstract | Links | BibTeX | Tags: distributed learning, humanistic intelligence, internet of things, recurrent neural network, trustworthy AI

Carta, Antonio; Sperduti, Alessandro; Bacciu, Davide

Encoding-based Memory for Recurrent Neural Networks Journal Article

In: Neurocomputing, 456 , pp. 407-420, 2021.

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

Averta, Giuseppe; Barontini, Federica; Valdambrini, Irene; Cheli, Paolo; Bacciu, Davide; Bianchi, Matteo

Learning to Prevent Grasp Failure with Soft Hands: From Online Prediction to Dual-Arm Grasp Recovery Journal Article

In: Advanced Intelligent Systems, 2021.

Abstract | Links | BibTeX | Tags: deep learning, machine vision, recurrent neural network, robotics, Sequential data

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

Continual Learning with Echo State Networks Conference

Proceedings of the 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2021) , 275-280 , 2021.

Abstract | Links | 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

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

Abstract | Links | 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

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

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

Valenti, Andrea; Berti, Stefano; Bacciu, Davide

Calliope - A Polyphonic Music Transformer Conference

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

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

Schoitsch, Erwin; Mylonas, Georgios (Ed.)

Supporting Privacy Preservation by Distributed and Federated Learning on the Edge Periodical

ERCIM News, 127 , 2021.

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

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

K-Plex Cover Pooling for Graph Neural Networks Journal Article

In: 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, M. C. De; 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), Springer, 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

In: Entropy, 23 (8), pp. 1064, 2021, (Special issue on Representation Learning).

Abstract | Links | BibTeX | Tags: biomedical data, explainable AI, 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

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

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

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

Distilled Replay: Overcoming Forgetting through Synthetic Samples Workshop

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

Abstract | 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

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

Abstract | Links | 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

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

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

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

Abstract | Links | 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

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

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

Errica, Federico; Bacciu, Davide; Micheli, Alessio

Graph Mixture Density Networks Conference

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

Links | 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

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

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

Sattar, Asma; Bacciu, Davide

Context-aware Graph Convolutional Autoencoder Conference

Proceedings of the 16th International Work Conference on Artificial Neural Networks (IWANN 2021), 12862 , LNCS Springer, 2021.

Abstract | Links | 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

Proceedings of the 16th International Work Conference on Artificial Neural Networks (IWANN 2021), 12862 , Springer, 2021.

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

174 entries « 1 of 4 »