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224 entries « 2 of 5 »

2022

51.

Matteoni, Federico; Cossu, Andrea; Gallicchio, Claudio; Lomonaco, Vincenzo; Bacciu, Davide

Continual Learning for Human State Monitoring Conference

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

Abstract | Links | BibTeX

Continual Learning for Human State Monitoring
52.

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

Knowledge-Driven Interpretation of Convolutional Neural Networks
53.

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

Deep Features for CBIR with Scarce Data using Hebbian Learning
54.

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

Studying the impact of magnitude pruning on contrastive learning methods
55.

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

Sample Condensation in Online Continual Learning
56.

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

 Leveraging Relational Information for Learning Weakly Disentangled Representations
57.

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

The Infinite Contextual Graph Markov Model
58.

Semola, Rudy; Lomonaco, Vincenzo; Bacciu, Davide

Continual-Learning-as-a-Service (CLaaS): On-Demand Efficient Adaptation of Predictive Models Workshop

Proc. of the 1st International Workshop on Pervasive Artificial Intelligence, 2022 IEEE World Congress on Computational Intelligence, 2022.

Abstract | Links | BibTeX

Continual-Learning-as-a-Service (CLaaS): On-Demand Efficient Adaptation of Predictive Models
59.

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

Inductive-Transductive Learning for Very Sparse Fashion Graphs
60.

Sattar, Asma; Bacciu, Davide

Graph Neural Network for Context-Aware Recommendation Journal Article

In: Neural Processing Letters, 2022.

Links | BibTeX

Graph Neural Network for Context-Aware Recommendation
61.

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

Ex-Model: Continual Learning from a Stream of Trained Models
62.

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), vol. 1600, Communications in Computer and Information Science Springer, 2022.

Abstract | Links | BibTeX

Learning image captioning as a structured transduction task
63.

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

Avalanche RL: a Continual Reinforcement Learning Library
64.

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, vol. 17, no. 5, 2022.

Abstract | Links | BibTeX

A causal learning framework for the analysis and interpretation of  COVID-19 clinical data
65.

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

Modeling Mood Polarity and Declaration Occurrence by Neural Temporal Point Processes
66.

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

Learning heuristics for A*
67.

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

Explaining Deep Graph Networks via Input Perturbation
68.

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

Learning with few examples the semantic description of novel human-inspired grasp strategies from RGB data
69.

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, vol. 18, no. 5, 2022.

Abstract | Links | BibTeX

Controlling astrocyte-mediated synaptic pruning signals for schizophrenia drug repurposing with Deep Graph Networks
70.

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

AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving
71.

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

Deep Learning in Biology and Medicine
72.

Castellana, Daniele; Bacciu, Davide

A Tensor Framework for Learning in Structured Domains Journal Article

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

Abstract | Links | BibTeX

A Tensor Framework for Learning in Structured Domains
73.

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

Catastrophic Forgetting in Deep Graph Networks: a Graph Classification benchmark
74.

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, vol. 5, 2022, ISSN: 2624-8212.

Abstract | Links | BibTeX

Is Class-Incremental Enough for Continual Learning?
75.

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, vol. 22, no. 13, 2022, ISSN: 1424-8220.

Abstract | Links | BibTeX

A Systematic Review of Wi-Fi and Machine Learning Integration with Topic Modeling Techniques
76.

Semola, Rudy; Moro, Lorenzo; Bacciu, Davide; Prati, Enrico

Deep Reinforcement Learning Quantum Control on IBMQ Platforms and Qiskit Pulse Proceedings Article

In: 2022 IEEE International Conference on Quantum Computing and Engineering (QCE), pp. 759-762, 2022.

Links | BibTeX

Deep Reinforcement Learning Quantum Control on IBMQ Platforms and Qiskit Pulse

2021

77.

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

 Predictive Auto-scaling with OpenStack Monasca
78.

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

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

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

Abstract | Links | BibTeX

Continual Learning for Recurrent Neural Networks: an Empirical Evaluation
79.

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

80.

Carta, Antonio; Sperduti, Alessandro; Bacciu, Davide

Encoding-based Memory for Recurrent Neural Networks Journal Article

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

Abstract | Links | BibTeX

Encoding-based Memory for Recurrent Neural Networks
81.

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

Learning to Prevent Grasp Failure with Soft Hands: From Online Prediction to Dual-Arm Grasp Recovery
82.

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) , vol. 275-280, 2021.

Abstract | Links | BibTeX

 Continual Learning with Echo State Networks
83.

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

 Deep learning for graphs
84.

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

Inductive learning for product assortment graph completion
85.

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

Calliope - A Polyphonic Music Transformer
86.

Schoitsch, Erwin; Mylonas, Georgios (Ed.)

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

ERCIM News, vol. 127, 2021, visited: 30.09.2021.

Links | BibTeX

Supporting Privacy Preservation by Distributed and Federated Learning on the Edge
87.

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

K-Plex Cover Pooling for Graph Neural Networks
88.

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

89.

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

90.

Resta, Michele; Monreale, Anna; Bacciu, Davide

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

In: Entropy, vol. 23, no. 8, pp. 1064, 2021, (Special issue on Representation Learning).

Abstract | Links | BibTeX

 Occlusion-based Explanations in Deep Recurrent Models for Biomedical Signals
91.

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

TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence
92.

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

Distilled Replay: Overcoming Forgetting through Synthetic Samples
93.

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

 Modeling Edge Features with Deep Bayesian Graph Networks
94.

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

MEG: Generating Molecular Counterfactual Explanations for Deep Graph Networks
95.

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

Federated Reservoir Computing Neural Networks
96.

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

GraphGen-Redux: a Fast and Lightweight Recurrent Model for Labeled Graph Generation
97.

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

Graph Mixture Density Networks
98.

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

Avalanche: an End-to-End Library for Continual Learning
99.

Sattar, Asma; Bacciu, Davide

Context-aware Graph Convolutional Autoencoder Conference

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

Abstract | Links | BibTeX

Context-aware Graph Convolutional Autoencoder
100.

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), vol. 12862, Springer, 2021.

Abstract | Links | BibTeX

Benchmarking Reservoir and Recurrent Neural Networks for Human State and Activity Recognition
224 entries « 2 of 5 »