A selection of recent scientific publications from the members of the laboratory

61 entries « 1 of 2 »


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.


Bacciu, Davide; Bertoncini, Gioele; Morelli, Davide

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

In: Neural Computing Applications, 2021.

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Yussupov, Vladimir; Soldani, Jacopo; Breitenbücher, Uwe; Brogi, Antonio; Leymann, Frank

FaaSten your decisions: A classification framework and technology review of function-as-a-Service platforms Journal Article

In: Journal of Systems and Software, 175 , pp. 110906, 2021, ISSN: 0164-1212.

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Forti, S; Paganelli, F; Brogi, A

Probabilistic QoS-aware Placement of VNF Chains at the Edge Journal Article

In: Theory Pract. Log. Program., 2021, (In Press.).


Paganelli, Federica; Cappanera, Paola; Cuffaro, Giovanni

Tenant-defined service function chaining in a multi-site network slice Journal Article

In: Future Generation Computer Systems, 2021.



Numeroso, Danilo; Bacciu, Davide

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.

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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

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.

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Mazzei, Daniele; Baldi, Giacomo; Fantoni, Gualtiero; Montelisciani, Gabriele; Pitasi, Antonio; Ricci, Laura; Rizzello, Lorenzo

A Blockchain Tokenizer for Industrial IOT trustless applications Journal Article

In: Future Generation Computer Systems, 105 , pp. 432–445, 2020.


Karvelis, Petros; Mazzei, Daniele; Biviano, Matteo; Stylios, Chrysostomos

PortWeather: A Lightweight Onboard Solution for Real-Time Weather Prediction Journal Article

In: Sensors, 20 (11), pp. 3181, 2020.


Cerina, L; Santambrogio, MD; Franco, G; Gallicchio, C; Micheli, A

EchoBay: Design and Optimization of Echo State Networks under Memory and Time Constraints Journal Article

In: ACM Transactions on Architecture and Code Optimization (TACO), 17 (3), pp. 1–24, 2020.


Belli, Dimitri; Chessa, Stefano; Foschini, Luca; Girolami, Michele

The rhythm of the crowd: Properties of evolutionary community detection algorithms for mobile edge selection Journal Article

In: Pervasive and Mobile Computing, 67 , pp. 101231, 2020, ISSN: 1574-1192.

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Belli, D; Chessa, S; Foschini, L; Girolami, M

A Probabilistic Model for the Deployment of Human-Enabled Edge Computing in Massive Sensing Scenarios Journal Article

In: IEEE Internet of Things Journal, 7 (3), pp. 2421-2431, 2020.

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Dynamic Bayesian network for crop growth prediction in greenhouses Journal Article

In: Computers and Electronics in Agriculture, 169 , pp. 105167, 2020, ISSN: 0168-1699.

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Castellana, Daniele; Bacciu, Davide

Learning from Non-Binary Constituency Trees via Tensor Decomposition Inproceedings

In: Proceedings of the 28th International Conference on Computational Linguistics, pp. 3899–3910, International Committee on Computational Linguistics, Barcelona, Spain (Online), 2020.

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

A gentle introduction to deep learning for graphs Journal Article

In: Neural Networks, 129 , pp. 203 - 221, 2020, ISSN: 0893-6080.

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Sarli, D D; Gallicchio, C; Micheli, A

Gated Echo State Networks: a preliminary study Inproceedings

In: 2020 International Conference on INnovations in Intelligent SysTems and Applications (INISTA), pp. 1-5, 2020.

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Gallicchio, Claudio; Micheli, Alessio

Fast and Deep Graph Neural Networks Inproceedings

In: The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020, pp. 3898–3905, AAAI Press, 2020.


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.

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Bogo, Matteo; Soldani, Jacopo; Neri, Davide; Brogi, Antonio

Component-aware orchestration of cloud-based enterprise applications, from TOSCA to Docker and Kubernetes Journal Article

In: Software: Practice and Experience, 50 (9), pp. 1793-1821, 2020.

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Wurster, Michael; Breitenbücher, Uwe; Falkenthal, Michael; Krieger, Christoph; Leymann, Frank; Saatkamp, Karoline; Soldani, Jacopo

The essential deployment metamodel: a systematic review of deployment automation technologies Journal Article

In: SICS Software-Intensive Cyber-Physical Systems, 35 (1), pp. 63-75, 2020.

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Forti, Stefano; Ferrari, Gian Luigi; Brogi, Antonio

Secure Cloud-Edge Deployments, with Trust Journal Article

In: Future Gener. Comput. Syst., 102 , pp. 775–788, 2020.

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Forti, Stefano; Brogi, Antonio

Continuous Reasoning for Managing Next-Gen Distributed Applications Inproceedings

In: Proceedings 36th International Conference on Logic Programming (ICLP - Technical Communications), pp. 164–177, 2020.

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Lesort, Timothée; Lomonaco, Vincenzo; Stoian, Andrei; Maltoni, Davide; Filliat, David; Díaz-Rodríguez, Natalia

Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges Journal Article

In: Information Fusion, 58 , pp. 52-68, 2020, ISSN: 1566-2535.

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She, Q; Feng, F; Hao, X; Yang, Q; Lan, C; Lomonaco, V; Shi, X; Wang, Z; Guo, Y; Zhang, Y; Qiao, F; Chan, R H M

OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep Learning Inproceedings

In: 2020 IEEE International Conference on Robotics and Automation (ICRA), pp. 4767-4773, 2020.

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Bruni, Roberto; á, Hern; Montanari, Ugo

Bayesian network semantics for Petri nets Journal Article

In: Theor. Comput. Sci., 807 , pp. 95–113, 2020.


Bruni, Roberto; Montanari, Ugo; Sammartino, Matteo

Algebras for Tree Decomposable Graphs Inproceedings

In: Gadducci, Fabio; Kehrer, Timo (Ed.): Graph Transformation - 13th International Conference, ICGT 2020, Held as Part of STAF 2020, Bergen, Norway, June 25-26, 2020, Proceedings, pp. 203–220, Springer, 2020.



Bacciu, Davide; Crecchi, Francesco

Augmenting Recurrent Neural Networks Resilience by Dropout Journal Article

In: IEEE Transactions on Neural Networs and Learning Systems, 2019.

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Matteis, T De; Mencagli, G; Sensi, D De; Torquati, M; Danelutto, M

GASSER: An Auto-Tunable System for General Sliding-Window Streaming Operators on GPUs Journal Article

In: IEEE Access, 7 , pp. 48753-48769, 2019, ISSN: 2169-3536.

Abstract | Links | BibTeX

Mencagli, G; Torquati, M; Griebler, D; Danelutto, M; Fernandes, L G L

Raising the Parallel Abstraction Level for Streaming Analytics Applications Journal Article

In: IEEE Access, 7 , pp. 131944-131961, 2019, ISSN: 2169-3536.

Abstract | Links | BibTeX

Franco, Giuseppe; Cerina, Luca; Gallicchio, Claudio; Micheli, Alessio; Santambrogio, Marco Domenico

Continuous Blood Pressure Estimation Through Optimized Echo State Networks Inproceedings

In: International Conference on Artificial Neural Networks, pp. 48–61, Springer 2019.


Parvin, Parvaneh; Chessa, Stefano; Kaptein, Maurits; `o, Fabio Patern

Personalized real-time anomaly detection and health feedback for older adults Journal Article

In: Journal of Ambient Intelligence and Smart Environments, 11 (5), pp. 453–469, 2019, ISSN: 1876-1364.

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Bacciu, Davide; Rocco, Maurizio Di; Dragone, Mauro; Gallicchio, Claudio; Micheli, Alessio; Saffiotti, Alessandro

An ambient intelligence approach for learning in smart robotic environments Journal Article

In: Computational Intelligence, 35 (4), pp. 1060–1087, 2019.

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Brogi, Antonio; Carrasco, Jose; Durán, Francisco; Pimentel, Ernesto; Soldani, Jacopo

Robust Management of Trans-Cloud Applications Inproceedings

In: 2019 IEEE 12th International Conference on Cloud Computing (CLOUD), pp. 219-223, 2019, ISSN: 2159-6190.

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Maltoni, Davide; Lomonaco, Vincenzo

Continuous learning in single-incremental-task scenarios Journal Article

In: Neural Networks, 116 , pp. 56-73, 2019, ISSN: 0893-6080.

Abstract | Links | BibTeX

Pellegrini, Lorenzo; Graffieti, Gabriele; Lomonaco, Vincenzo; Maltoni, Davide

Latent Replay for Real-Time Continual Learning Journal Article

In: CoRR, abs/1912.01100 , 2019.

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Chiti, Francesco; Fantacci, Romano; Paganelli, Federica; Picano, Benedetta

Virtual functions placement with time constraints in fog computing: A matching theory perspective Journal Article

In: IEEE Transactions on Network and Service Management, 16 (3), pp. 980–989, 2019.


Cappanera, Paola; Paganelli, Federica; Paradiso, Francesca

VNF placement for service chaining in a distributed cloud environment with multiple stakeholders Journal Article

In: Computer Communications, 133 , pp. 24-40, 2019, ISSN: 0140-3664.

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Bacciu, Davide; Colombo, Michele; Morelli, Davide; Plans, David

Randomized neural networks for preference learning with physiological data Journal Article

In: Neurocomputing, 298 , pp. 9-20, 2018.

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Mazzei, Daniele; Baldi, Giacomo; Montelisciani, Gabriele; Fantoni, Gualtiero

A full stack for quick prototyping of IoT solutions Journal Article

In: Annals of Telecommunications, 73 (7-8), pp. 439–449, 2018.


Cominelli, Lorenzo; Mazzei, Daniele; Rossi, Danilo Emilio De

SEAI: Social emotional artificial intelligence based on Damasio’s Theory of Mind Journal Article

In: Frontiers in Robotics and AI, 5 , pp. 6, 2018.


Lazzeri, Nicole; Mazzei, Daniele; Cominelli, Lorenzo; Cisternino, Antonio; Rossi, Danilo Emilio De

Designing the mind of a social robot Journal Article

In: Applied Sciences, 8 (2), pp. 302, 2018.


Mencagli, Gabriele; Torquati, Massimo; Danelutto, Marco

Elastic-PPQ: A two-level autonomic system for spatial preference query processing over dynamic data streams Journal Article

In: Future Generation Computer Systems, 79 , pp. 862 - 877, 2018, ISSN: 0167-739X.

Abstract | Links | BibTeX

Mencagli, Gabriele; Torquati, Massimo; Lucattini, Fabio; Cuomo, Salvatore; Aldinucci, Marco

Harnessing sliding-window execution semantics for parallel stream processing Journal Article

In: Journal of Parallel and Distributed Computing, 116 , pp. 74 - 88, 2018, ISSN: 0743-7315, (Towards the Internet of Data: Applications, Opportunities and Future Challenges).

Abstract | Links | BibTeX

Brogi, Antonio; Canciani, Andrea; Soldani, Jacopo

Fault-aware management protocols for multi-component applications Journal Article

In: Journal of Systems and Software, 139 , pp. 189 - 210, 2018, ISSN: 0164-1212.

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Lomonaco, Vincenzo; Maltoni, Davide

CORe50: a New Dataset and Benchmark for Continuous Object Recognition Inproceedings

In: Levine, Sergey; Vanhoucke, Vincent; Goldberg, Ken (Ed.): Proceedings of the 1st Annual Conference on Robot Learning, pp. 17–26, PMLR, 2017.

Abstract | Links | BibTeX

Bacciu, Davide; Chessa, Stefano; Gallicchio, Claudio; Micheli, Alessio

On the Need of Machine Learning as a Service for the Internet of Things Conference

Proceedings of the International Conference on Internet of Things and Machine Learning (IML 2017), ACM, 2017, ISBN: 978-1-4503-5243-7.


Mencagli, G; Torquati, M; Danelutto, M; Matteis, T De

Parallel Continuous Preference Queries over Out-of-Order and Bursty Data Streams Journal Article

In: IEEE Transactions on Parallel and Distributed Systems, 28 (9), pp. 2608-2624, 2017, ISSN: 1558-2183.

Abstract | Links | BibTeX

Bacciu, Davide; Chessa, Stefano; Gallicchio, Claudio; Micheli, Alessio; Pedrelli, Luca; Ferro, Erina; Fortunati, Luigi; Rosa, Davide La; Palumbo, Filippo; Vozzi, Federico; others,

A learning system for automatic Berg Balance Scale score estimation Journal Article

In: Engineering Applications of Artificial Intelligence, 66 , pp. 60–74, 2017.


Chessa, Stefano; Girolami, Michele; Foschini, Luca; Ianniello, Raffaele; Corradi, Antonio; Bellavista, Paolo

Mobile crowd sensing management with the ParticipAct living lab Journal Article

In: Pervasive and Mobile Computing, 38 , pp. 200 - 214, 2017, ISSN: 1574-1192.

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61 entries « 1 of 2 »